Principal Investigators
Edward McDonnell
Centre Director
Edward McDonnell
Centre Director
Edward McDonnell is the Director of the National Centre for Applied Data Analytics & Machine Intelligence www.ceadar.ie The Centre which is funded by EI and the IDA has over 80 member companies across a wide span of industries. The Centre’s primary focus is on delivering industry prototypes, technology demonstrators and state-of-the-art reviews. The CeADAR Centre won
i-Spaces accreditation from the EU’s BDVA in 2018 and the Dunn & Bradstreet award for best research group.
CeADAR is a founder along with NextGeneration of the annual European Data Science Awards.
Prior to being appointed Director of CeADAR, Edward was European Director of Innovation & Technology Research at Fidelity Investments. The role involved prospecting for FinTech technology and investment opportunities across Europe, understanding developments in the European innovation ecosystem, and directing technology trials.
Edward has also held various technical and global senior management roles in the Office of Strategy and Technology at Hewlett-Packard Europe based in England.
Edward has a PhD in Analytics and AI from the University of Edinburgh, is a Fellow of the IEE & ICS, and is the named inventor on 76 granted patents. He has been awarded several international prizes including the Scientific American top 50 technologies that demonstrate outstanding leadership, Grand Award and Overall Winner for Innovation, Popular Science (USA), Horizon Award “10 Cool Cutting Edge Technologies”, Computer World (USA).
Oisin Boydell
Principal Data Scientist and Head of the Applied Research Group UCD
Oisin Boydell
Principal Data Scientist and Head of the Applied Research Group UCD
Dr Oisín Boydell is Principal Data Scientist and Head of the Applied Research Group at CeADAR, Ireland’s centre for Applied AI at University College Dublin. His primary research interests include deep learning and machine learning, real-time analytics and blockchain technology. After working as a software developer in the UK, Oisín returned to UCD to undertake a PhD in Computer Science, researching novel approaches for personalized information retrieval. Prior to joining CeADAR he worked for a number of years in the research and innovation team at ChangingWorlds Ltd (subsequently acquired by Amdocs Ltd) where he developed big data analytics and machine learning solutions for the telecommunications industry. At CeADAR, Oisín leads industry focussed research projects in collaboration with industry partners across a broad range of technology areas including machine learning, deep learning, blockchain, recommender systems, data stream processing and real-time analytics.
Areas of expertise/interest:
Machine Learning, Blockchain, Realtime Analytics
Ricardo Simon Carbajo
Head of Innovation & Development UCD
Ricardo Simon Carbajo
Head of Innovation & Development UCD
Dr Ricardo Simon Carbajo is the Head of Innovation & Development at CeADAR. Ricardo leads the IDG group, composed of senior data scientists, which focuses on the development of bespoke advanced data analytics and AI solutions for SMEs and MNCs operating in a large range of verticals (energy, manufacturing, insurance, fintech, healthcare, telecoms, etc). He is also responsible for EU Research & Innovation and actively participates in European colloquiums and events to foster collaboration at EU level. Prior to this position, Ricardo was Adjunct Lecturer, Senior Research Fellow and Post-Doctoral Researcher in Trinity College Dublin, University College Dublin and Dublin City University. Ricardo holds a B.Sc. in Computer Science from the University of Leon (Spain), an M.Sc. in Networks and Distributed Systems and a PhD in Computer Science from Trinity College Dublin (Ireland). His applied research background includes areas such as wireless networking, distributed systems, signal processing, sensor data fusion, real-time data analytics and advanced machine learning. Ricardo also has experience in entrepreneurship, as founder of a start-up company in the Industry 4.0 sector. LinkedIn: https://ie.linkedin.com/in/ricardo-simon-carbajo-7141464
Areas of expertise/interest:
Advanced Machine Learning, Wireless Networking, Distributed Systems, Signal Processing, Sensor Data Fusion, Real-time Data Analytics with application to multiple verticals.
Arsalan Shahid
UCD
Arsalan Shahid
UCD
Technology Solutions Lead and Head of CeADAR Connect Group UCD
Arsalan Shahid, PhD, works as a Technology Solutions Lead and serves as the Head of CeADAR Connect Group (CCG) at Ireland's National Centre for Applied AI (CeADAR). Serving as a “connection between CeADAR and industry clients and members” and engaging with a range of industry verticals, the CeADAR Connect group delivers AI/ML-focused R&D and technology solutions to the clients.
Previously, Arsalan worked as a research scientist in the Insight SFI Research Centre for Data Analytics, Ireland. Arsalan contributed to a number of technology projects funded by European Commission H2020, Enterprise Ireland, Science Foundation Ireland, and ICT R&D
Ignite Pakistan. His research is in advanced healthcare data analytics using AI/ML, intelligent cloud-based technologies, and high-performance supercomputing and embedded computing platforms.
Arsalan received his MBA from Quantic School of Business and Technology, Washington USA and a PhD in High-performance Computing from University College Dublin, Ireland. He graduated as a gold medalist for the best final year project in BS Electrical Engineering from
HITEC University, Pakistan.
Website: www.arsalanshahid.info
Areas of Expertise/Interest
AI in Healthcare, Energy of Computing, High Performance Computing, Intelligent Cloud Computing.
Funded Investigators
Robert Ross
TUD
Robert Ross
TUD
Senior Lecturer and CeADAR PI, TU Dublin
Robert Ross is a Senior Lecturer in the School of Computer Science in the Technological University Dublin. Robert leads up the CeADAR team in TU Dublin. Robert has over 20 years of experience working in the field of artificial intelligence, having studied in UCD before moving to Germany to complete a PhD and work at the Spatial Cognition Research Centre in Bremen. Robert’s primary research interest is in Situated Intelligence including Robotics and Spoken Language Technology. Robert has a practical interest in all aspects of applied Machine Learning and has applied these technologies across domains ranging from Ag Science through the Automotive Industry.
Areas of expertise/interest:
Deep Learning, Dialogue Systems, Robotics, Computer Vision.
Quan Le
UCD
Quan Le
UCD
Research Fellow, UCD
Quan is a Research Fellow based in CeADAR, UCD. He did a PHD in protein structure classification, using neural networks and kernel methods. After his PHD, he did a postdoc in bioinformatics, working on the application of profile Hidden Markov Models in sequence alignments. His interests include machine learning – deep learning, and machine learning applications.
Dr Luca Longo
TUD
Dr Luca Longo
TUD
Dr Luca Longo, TUD
Artificial Intelligence & Cognitive Load Research Lab (AICL-lab)
MSc dissertation coordinator
School of Computer Science
College of Sciences & Health
Technological University Dublin
(TU Dublin City Campus)
www.lucalongo.eu
TEDx (DIT) | TEDx (Vicenza) | TEDx (Innopolis)
Affiliations
- Applied Intelligence Research Centre (AIRC)
- EI National Centre for Applied AI & Data Analytics Research (CeADAR)
- SFI Centre for Research Training in Machine Learning (ML-Labs)
- SFI Centre for Digitally Enhanced Reality (D-REAL)
- Applied Social Computing Research Group and Network (ASCNET)
- SFI global centre of excellence for digital content, media innovation (ADAPT)
Journals
(participating journals FRONTIERS in Human Neuroscience, Neuroergonomics, Psychology, Education, Computer Science, Neuroinformatics, Computational neuroscience)
- Issue Advances in Explainable Artificial Intelligence (MDPI Machine Learning & Knowledge Extraction Journal)
- Research Methods (FRONTIERS in Research Metrics & Analytics journal)
- Real-World Applications of Neurophysiological Monitoring for Passive Brain-Computer Interfaces (FRONTIERS in Human Neuroscience Journal)
- Special Non-invasive neuroergonomic approaches for understanding user & teams in everyday contexts (FRONTIERS in Neuroergonomics Journal)
https://youtu.be/mjoBCwmeHKs
Staff
Aditya Grover
UCD
Aditya Grover
UCD
Data Scientist II, UCD
Aditya is a Data Scientist at CeADAR and has worked on several projects across various domains including aviation, finance, transportation and mining. His work in transportation and logistics was done using constraint programming and optimization techniques. He previously worked on the AURORA European Union Horizon 2020 project using Big Data streaming technologies that help in the dynamic monitoring of efficiency metrics generated by air traffic management (ATM) systems. Aditya completed his Masters’ in Computer Science with the Data Science specialization from University College Dublin. He began as a summer intern with CeADAR, where he worked on a Deep Learning project using Tensorflow. He also holds a Bachelor’s degree in Computer Science Engineering from Vellore Institute of Technology, India. He previously worked with Accenture for 1.5 years, predominantly as a database administrator for Cassandra.
Areas of expertise/interest:
Machine Learning, Combinatorial Optimization, Aviation, Logistics, Big Data Streaming
Quan Le
UCD
Quan Le
UCD
Research Fellow, UCD
Quan is a Research Fellow based in CeADAR, UCD. He did a PHD in protein structure classification, using neural networks and kernel methods. After his PHD, he did a postdoc in bioinformatics, working on the application of profile Hidden Markov Models in sequence alignments. His interests include machine learning – deep learning, and machine learning applications.
Andres Suarez-Cetrulo
UCD
Andres Suarez-Cetrulo
UCD
Senior Data Scientist, UCD
Andrés L. Suarez-Cetrulo is a Senior Data Scientist at CeADAR (UCD). Previously, he worked as a Senior Consultant in Deloitte Analytics Ireland and as a Data Analyst at Vodafone Spain. Andrés has industry experience in the banking, finance, insurance, telecommunications and energy sectors. He has held multiple roles throughout his career such as Data Analyst, analysing massive data sets of information to support decision-making processes and using Hadoop and Spark as main Big Data technologies; ETL developer, e.g. helping to develop processes to support online marketing and business operations; and Data Scientist, applying and proposing new Machine Learning algorithms at research and programming level. He is currently completing his PhD in self-adaptive Machine Learning algorithms for data streams and non-stationary time series.
Areas of expertise/interest:
Machine Learning, Evolving and self-adaptive algorithms, Big Data, Real-time Analytics, Data Analysis
Saad Shahid
UCD
Saad Shahid
UCD
Data Scientist/Software Engineer, UCD
Saad’s background is in product development, data analytics, machine learning, e-commerce and recommender systems. Saad’s interests are focused on deep-learning, blockchain and augmented reality.
Corrado Grappiolo
UCD
Corrado Grappiolo
UCD
Dr. Corrado Grappiolo Applied Research Group, UCD
Corrado Grappiolo holds a PhD in Computational Intelligence (2014, IT University of Copenhagen, Denmark), a MSc in AI with a major in gaming (2008, Universiteit van Amsterdam, The Netherlands) and a BS and MS in Computer Science, the latter with a major in nature-inspired computation (2002 and 2004, University of Milan Bicocca, Italy). Corrado expertise is in bio-inspired AI approaches.
Areas of interest/expertise:
Corrado’s main interest is on the combination of different forms of intelligence (human, nature-inspired, connectionist, symbolic, etc.) for the creation of computational systems that can cooperatively and continually learn in real-life domains and scenarios. He tries to spice it all up by means of self-organisation, adaptation and evolution.
Rajnish Rakholia
UCD
Rajnish Rakholia
UCD
Dr. Rajnish Rakholia is a Data Scientist at CeADAR.
He holds B.Sc. in Physics from Saurashtra University, Master’s in Computer Science from Ganpat University and PhD in Computer Science from R K University, Gujarat, India. Prior to this position, Rajnish was working (as an Assistant Professor) at S. S. Agrawal Institute of Management & Technology, Gujarat Technological University (GTU), India.
Areas of expertise/interest:
Machine Learning, Data Science, Deep Learning, Big Data, Data Analysis and Visualization
Cristian Bosch Serrano
UCD
Cristian Bosch Serrano
UCD
Cristian is a Senior Research Data Scientist at CeADAR, UCD. With a M.Sc. degree in Nanotechnology and a Ph.D. in Physics, his prior research comprises topics such as Qubit realization with spin control in molecules and Beyond Standard Model phenomenology. During his physics research period, he was invited to the high energy research centres CERN (Switzerland) and Fermilab (US). He joined CeADAR as a Marie Curie Career-FIT fellow and since then has performed research in the fields of Predictive Maintenance for wind turbines and Computer Vision applications to industry.
Manokamna Singh
UCD
Manokamna Singh
UCD
Data Scientist, UCD
Manokamna Singh is a Data Scientist at CeADAR. He did his Bachelors in Information Technology from RGPV, India and completed his MSc. in Data Science & Analytics from Maynooth University, Ireland . His MSc. thesis was on “Comparison of Statistical Models to near-infrared spectroscopic data in food authentication studies.” His research background includes data engineering, machine learning, feature selection, and data visualization. He has industrial exposure banking and payment domain companies. His work experience is in the area of database management, code optimization, database designing, data mining, data analysis, and visualization.
Areas of expertise/interest:
Database Engineering, Application of machine learning, Data Analysis and Visualization
Tamara Matthews
UCD
Tamara Matthews
UCD
Senior Postodoctoral Researcher, TU Dublin
Tamara Matthews is a Researcher in the School of Computing at TU Dublin. Tamara obtained her PhD in Plasma Physics (diagnostics of magnetized plasma) from Dublin City University and pursued research in plasma physics (plasma diagnostics, optimization, numerical modelling). She holds a Physicist Engineer degree from the University of Bucharest. Prior to her PhD, she worked as a researcher in Radiation Dosimetry at NIPNE – Bucharest specializing in 3D Monte Carlo simulations for radiation transport. She also holds a recent MSc degree in Data Analytics from the National College of Ireland. Her recent expertise includes NLP and non-linear algorithms for drift compensation of online sensors.
Areas of expertise/interest:
Machine Learning, Deep learning, Text Analytics, Optimization Algorithms, Data Visualization.
Hossam Zawbaa
TU Dublin
Hossam Zawbaa
TU Dublin
Dr Hossam Zawbaa is a Marie Curie Research Fellow at CeADAR, TUD.
Hossam received his BSc in 2008 and MSc degree in 2012, both from the Faculty of Computers and Artificial Intelligence, Cairo University, Egypt. He received his PhD in 2018 from the Faculty of Mathematics and Computer Science, Babes-Bolyai University, Romania. Interestingly in 2020, Hossam has rated as one of the top 2% scientists worldwide by Stanford in Artificial Intelligence. Also, Hossam has awarded the State Encouragement Award for the year 2020 in the field of Engineering Sciences from the Academy of Scientific Research and Technology, Egypt. He has authored/co-authored over 65 publications in peer-reviewed reputed journals and international conference proceedings. As per Google Scholar, Hossam has more than 2600 citations, 29 h-index, and 45 i10-index.
Areas of Expertise/Interest:
Machine Learning, Computer Vision, Pattern Recognition, Deep Learning, Artificial Intelligence, Metaheuristic Optimization
Bujar Raufi
TUD
Bujar Raufi
TUD
Bujar Raufi holds a PhD in Communications and Computer Technologies – Computer Systems, Complexes and Networks from Technical University in Sofia, Bulgaria. Bujar’s research background is in designing and implementing new approaches and directions regarding user Adaptive Intelligent Systems by fusing Data Mining and IR techniques with Semantic Web. Bujar’s has been awarded with Marie Curie fellowship in 2020 and he is researching in the field of Human Mental Workload and personalization. The fellowshi
Areas of expertise/interest:
Computer Systems and Networks, Personalisation and Human Mental Workoad.
Hamidreza Rabiei Dastjerdi
UCD
Hamidreza Rabiei Dastjerdi
UCD
Marie Skłodowska-Curie Fellow, UCD
Dr Hamidreza Rabiei Dastjerdi is a Marie Skłodowska-Curie Fellow at School of Computer Science (UCD), CeADAR, and Future Analytics Consulting. Previously, he was a National Elites Foundation research fellow at the Faculty of Social Sciences, University of Tehran. He completed his PhD in Spatial Planning and Urban Development at the University of Politecnico di Milano, an MSc in Remote Sensing and Geographic Information Systems at Tarbiat Modares University and a B.Eng. in Mining Engineering (Exploration) at Yazd University in Iran.
Areas of expertise/interest:
Urban Data Analytics, Smart Cities, Remote Sensing & GIS Applications and Development, Spatial Social Research Methods, Spatial Demography, and Spatial Inequality.
Garima Vatsa
UCD
Garima Vatsa
UCD
Garima is a Data Scientist at CeADAR, UCD, with experience in Machine Learning, Natural Language Processing, and application development in the banking and insurance domain. She recently finished a master’s degree in Advanced Computer science at the University of Leeds specializing in data analytics. Her dissertation topic was “Deep Learning for under-resourced languages and dialects”. Previously, she completed her undergraduate degree at BIT Sindri, India.
Areas of expertise/interest:
Machine Learning, Natural Language Processing, Computer Vision, Data mining and analytics
Pankaj Badatia
UCD
Pankaj Badatia
UCD
Data Scientist , UCD
Pankaj is a Data Scientist at CeADAR and holds more than 5 years experience in Research & Development.
He holds Masters Degree in Electronics Engineering (VLSI and Embedded) . from College of Engineering, Pune and Bachelor in Electronics and Telecommunication Engineering.
Prior to this Postion he has worked with Analytics company where, he applied various deep learning and machine learning technique for Text , Audio, Image and Video Processing. He has worked on projects that involved multiple domain expertise including Energy, Medical and Healthcare, BFSI Sector.
In Renewable Energy sector he has worked on providing solutions on various solar projects ranging from milli watt mW to Mega Watt (MW).
He has also worked in a Biomedical Company as Design Engineer in there R&D Team and have launched several products like Glucometer and Hemoglobin meter(Invasive and Non Invasive) that involved extensive use of data analytics for improving accuracy of the device.
Areas of Expertise/Interest :
Applying Machine Learning to Real World Problems, Deep learning,Computer vision,Signal Processing,Video Processing ,Real time Data analysis, Sensor Data Fusion, Data Visualization, Audio Analysis ,Text Analytics.
Polat Goktas
UCD
Polat Goktas
UCD
Polat Goktas’ Ph.D. research is a highly interdisciplinary mix of image acquisition, image processing, data analysis and life sciences. His main project was on the analysis and experimental study of single biological cells especially for red blood cells, to identify structures without staining for label-free, high throughput classification and detection of cellular information at the single cell level, especially for in vitro diagnostic research.
Polat is currently undertaking a Marie Sklodowska Curie Career-FIT PLUS fellowship with funding from Enterprise Ireland and the European Union under the MSCA COFUND scheme. His project titled “DeepStain: Deep Learning for Cell Image Analysis” is harnessing artificial intelligence to power the future of stem cell manufacturing.
Areas of expertise/interest:
Deep learning, image processing, data analytics
Romila Ghosh
UCD
Romila Ghosh
UCD
Romila is a Data Scientist at CeADAR, UCD with experience in developing Machine Learning, and Natural Language Processing solutions across various industries including healthcare, finance, forensics and government. Previously, she has worked with Dun & Bradstreet as a Senior Data Scientist and with PwC as a Data Scientist. She has made various contributions in application and solution development for clients where she has built applications leveraging NLP and predictive modelling, development of recommendation engines, development of scores leveraging machine learning algorithms, statistics and big data technologies, etc. She holds a Master degree in Statistics from Amity University, India. Apart from her professional engagements, she has published research papers on emotion recognition in a conversational context and the application of Deep Learning in Population Genetics.
Areas of expertise/interest:
Machine learning, Natural Language Processing, Deep Learning
Vikas Ojha
UCD
Vikas Ojha
UCD
Vikas is a Data Scientist at CeADAR, UCD, with experience in Machine Learning, Computer Vision and Data Analytics. He holds a Bachelor’s Degree in Computer Science and Engineering from Manipal University Jaipur, India. Previously, he worked as an Artificial Intelligence Engineer at Mercer-Mettl, where he applied deep learning and computer vision solutions to various real world projects in the EdTech domain.
Areas of expertise/interest:
Machine Learning, Computer Vision, Deep learning, Data analytics.
Adrian Byrne
UCD
Adrian Byrne
UCD
Dr Adrian Byrne Marie Curie Fellow
With qualifications and work experience in economics and statistics, Adrian is a quantitative social scientist with expertise in multilevel modelling investigating inequalities at different levels and examining how these inequalities interact. Adrian has been awarded funding to undertake a research project entitled “Algorithmic auditing for improving model explainability and detecting bias using sociodemographic data”. This project is jointly supported by the CeADAR centre (National Centre for Applied Data Analytics & Machine Intelligence at University College Dublin) and Idiro Analytics.
Daniel Gibert
UCD
Daniel Gibert
UCD
Dr. Daniel Gibert Marie Curie Fellow, UCD
Daniel Gibert is a Marie Curie Career Fit PLUS Fellow at CeADAR, UCD. He holds a PhD in Engineering and Information Technologies from University of Lleida, Spain. His doctoral work explored the application of machine learning and deep learning to detect and classify malware. Daniel has been awarded funding to undertake a research project named “Development of a Robust, Scalable, and Explainable AI-based System for Malware Detection”. The project is supported by CeADAR and IBM.
Areas of interest/expertise:
Machine Learning, Natural Language Processing, Deep Learning, Computer Security.
Hristo Stoev
UCD
Hristo Stoev
UCD
Hristo has a MSc in Computer Science from TUD and an undergraduate degree in Management Science and Information Systems Studies.
Before completing his Masters Hristo worked as a freelance website developer and data analyst. In addition to this Hristo continues to teach classes for gifted secondary school students in the area of website design, cybersecurity and app design.
Hristo is currently working on placement with a leading Irish consultancy firm working across a number of clients and projects including developing a proof of concept text recogniser tool using deep learning techniques.
Areas of interest/expertise:
machine learning, predictive analytics, neural language, and the integration with cloud computing.
Fatma Hachani
UCD
Fatma Hachani
UCD
Dr Fatma Hachani is a Project Coordinator at CeADAR where she is involved in a number of European projects. Her current interests include data science, artificial intelligence and big data, and her work aims at facilitating data access and knowledge exchange between applied data analytics hubs across Europe.
Area of interest / expertise:
Dr Hachani is originally a geophysicist. She obtained a PhD in geophysics from the University of Tsukuba in Japan in 2011 and worked as a researcher in Tunisia for a few years in applied data research.
Venkatesh B. Parthasarathy
UCD
Venkatesh B. Parthasarathy
UCD
Venkatesh BP is from the southern part of India. He completed his Masters in MSc in Data Analytics at DCU. During his master’s he worked on Data Augmentation on Low resource languages using Neural Machine translation. After that he worked as an Associate Developer at KantanAI where he worked on building text analytics tool and machine translation projects. Venkatesh joins the CeADARConnect programme.
Areas of Interest:
Data Analytics, NLP, Machine Learning, Deep Learning, Text Analytics.
Hanene Jemoui
UCD – Giyst Project
Hanene Jemoui
UCD – Giyst Project
Hanene is a Software Engineer at CeADAR and holds more than 13 years’ experience. She worked as a software developer and as a technical project manager and she contributed to the implementation of several IT projects within Banks and Telecom companies. She holds an engineering degree in computer science from ENSEIRB-MATMECA a French Grande Ecole.
Interests:
Mobile and web applications ecosystem, security, and AI.
Waqar S. Qureshi
TUD
Waqar S. Qureshi
TUD
Dr. Waqar S. Qureshi Marie Curie Fellow, TUD
Waqar S. Qureshi is an electrical engineer by training with over 17 years of experience in research and development in industry and academia. He has a strong passion for automated image analysis and artificial intelligence techniques in signal processing with a focus on solving real-world societal problems. After he graduated from UET Lahore Pakistan he worked at the National Engineering and Scientific Commission Pakistan as an electronic testing engineer. He completed his master’s in computer engineering in 2007 from UET Taxila Pakistan with a major in digital design and signal processing. Since 2007, he has taught many undergraduate and graduate subjects related to computer programming, digital logic design, electronics, robotics, signal, and image processing. He received the Doctor of Engineering degree in Mechatronics at the Asian Institute of Technology Thailand in 2015. After his PhD, he joined XYZPrinting Inc. Thailand, where he developed commercially viable products that led to US, Chinese and EU patents.
In 2016, he returned to academia to fulfil his obligation to work at the National University of Sciences and Technology (NUST), Islamabad Pakistan for five years. At NUST, he focussed on applied research in image processing and machine learning for precision agriculture and consumer products. As part of his administrative duties, he was departmental research head (2016-2021) and a core team member that organized IEEE international conferences (ICRAI 2016, 2019, and 2021), national workshops, national annual robotic competitions (2016-2019), and outcome-based education accreditation for mechatronics engineering program 2019. During his tenure at NUST, he supervised eight master's students and co-supervised one PhD student. He has a strong publication record (14 international journal articles and 12 conference papers) and has secured four research grants/awards (excluding Career-FIT plus) and many development projects (approx. 284 thousand USD), all of which are completed. These projects enabled collaboration with diverse researchers in Thailand, Australia, Russia, Czechia, France, Japan, Taiwan, Saudi Arabia, and China.
His strong interpersonal skills allow him to interact with a wide range of stakeholders, build effective relationships and manage project partners. He has won several awards including an NUST Faculty Development Fellowship, a Visiting Researcher Scholarship to Japan, travel grants to present his research at a conference in Portugal in 2014 and later in Italy in 2015 and the best poster award in 2014 at the Asian Institute of Technology Research Exhibition. He is now a CareerFit plus Fellow at CeADAR. He is working on automated analysis of visual cues will be a combination of image processing and machine learning techniques
Areas of Interest
Computer programming, digital logic design, electronics, robotics, signal, and image processing.
Krithika Sharon
UCD
Krithika Sharon
UCD
Krithika Sharon Komalapati, CeADAR Connect Data Scientist
I'm Krithika Sharon having a MSc in Artificial Intelligence from Dublin City University where my thesis was on "Aspect Based Sentiment Analysis using BERT". After this, I worked as a Data Science Intern at Orcawise, Dublin where I worked on Annotating Data and Acquiring keywords for Buying Signals. I completed my undergraduate degree in Computer Science in India after which I worked as a QA at Harman International, Bangalore, India.
Areas of Interest
Machine Learning, Natural Language Processing, Deep Learning, Data Analysis
Assem Alsawy Abdel Hak
TUD
Assem Alsawy Abdel Hak
TUD
Assem Alsawy Abdel Hak, Marie Curie Research Fellow, TUD
Assem has completed his Ph.D. (2014) in Artificial Intelligence at Cairo University (Egypt), MSc (2010) in Computer Sciences at Cairo University, and a BSc (1993) in Mathematics at Ain Shams University - Egypt. He worked as Lecturer at the Faculty of Science, Cairo University (Egypt) (2014-2016). He conducted a research period as a Chief data science in AR-Vision Company (2016-2020). Assem also worked as an Assistant professor at Ahram Canadian University (Egypt) (2019-2021). Since March 2021 Assem joined CeADAR and TU Dublin as Marie Skłodowska-Curie postdoctoral fellow and he is a member of the Cairo Innovation Team, Egypt, and the Intelligent Applied Research Centre, Ireland
Areas of interest
- Machine Learning (Deep Learning) - Computer Vision - NLP
- Granular Computing and Uncertainty
Arsalan Shahid
UCD
Arsalan Shahid
UCD
Technology Solutions Lead and Head of CeADAR Connect Group UCD
Arsalan Shahid, PhD, works as a Technology Solutions Lead and serves as the Head of CeADAR Connect Group (CCG) at Ireland's National Centre for Applied AI (CeADAR). Serving as a “connection between CeADAR and industry clients and members” and engaging with a range of industry verticals, the CeADAR Connect group delivers AI/ML-focused R&D and technology solutions to the clients.
Previously, Arsalan worked as a research scientist in the Insight SFI Research Centre for Data Analytics, Ireland. Arsalan contributed to a number of technology projects funded by European Commission H2020, Enterprise Ireland, Science Foundation Ireland, and ICT R&D
Ignite Pakistan. His research is in advanced healthcare data analytics using AI/ML, intelligent cloud-based technologies, and high-performance supercomputing and embedded computing platforms.
Arsalan received his MBA from Quantic School of Business and Technology, Washington USA and a PhD in High-performance Computing from University College Dublin, Ireland. He graduated as a gold medalist for the best final year project in BS Electrical Engineering from
HITEC University, Pakistan.
Website: www.arsalanshahid.info
Areas of Expertise/Interest
AI in Healthcare, Energy of Computing, High Performance Computing, Intelligent Cloud Computing.
Natalia Resende
UCD
Natalia Resende
UCD
Natalia Resende, PhD is a former post-doctoral researcher and Marie Skłodowska–Curie research fellow at Dublin City University, School of Computing where she worked for 4 years on several research projects involving Machine Translation, Natural Language Processing and Psycholinguistics. Natalia Resende holds a degree in English from the Federal University of Minas Gerais, Brazil. She received her doctorate in Linguistics with an emphasis in psycholinguistics from the Federal University of Santa Catarina, Brazil, in 2015 and a Master's degree in Natural Language Processing from the University of Wolverhampton, UK, in 2009.
Aafaq Khan
Aafaq Khan
Aafaq did a bachelor's degree in Electrical Engineering from the University of Engineering and Technology, Lahore, and a master's degree in Data Analytics from the National College of Ireland. Aafaq joins CeADARConnect programme. He also has 2.5 years of teaching experience at the university level. His interests include Machine Learning, Deep Learning, Data Analytics, and Cricket.
Vicky Kumar
UCD
Vicky Kumar
UCD
Vicky is an ex-Software Enigneer at Dell EMC and currently Research Software Engineer II at CeaDAR. Vicky is joining the IDG group working initially on the Giyst project.
Alireza Dehghani
UCD
Alireza Dehghani
UCD
Alireza Dehghani, PhD is a skilled, research-oriented technologist and passionate entrepreneur with a Doctorate Degree in Computing from Dublin City University, He has continuously worked in different high-tech companies, including Movidius, Intel of Ireland, Geowox, and CeADAR over the last eight years. During this period of time, he has been involved in Artificial Intelligence, Computer Vision, and Data Science topics and projects. He worked at Azad University as a faculty member for about eight years. Alireza leads the Lighthouse Projects a CeADAR's Applied Research Group.
Sebastian Cajas
UCD
Sebastian Cajas
UCD
Sebastian Cajas is an enthusiast of AI in the aerospace and biomedical field with experience working as a computer vision and machine learning scientist. He holds a B.S. in Electronics and Telecommunications Engineer from the University of Cauca - Colombia and was an awarded scholarship recipient from the European Union Erasmus Mundus EMJM on Image processing and computer vision Joint Master; He is a fellow Computer Vision in the Visual Computing Group (VCG) of the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) under the supervision of Hanspeter Pfister and Siyu Huang, developing techniques on cancer cells discovery based on instance segmentation algorithms and unsupervised learning techniques; Previously, he has worked in as ML Intern and then as a Computer vision and Machine learning engineer in AI India Innovation center developing the project “Land Use Land Cover Classification using advanced ML and DL techniques for Larger Study Area” project. He completed his MsC thesis in the AI Center of Excellence in EcoVadis (Paris), where he created a logo detection and verification framework based on the current state-of-the-art Object detectors, attribution and verification based on Contrastive text-image training, transfer-learning using transformers and image processing approaches.
Areas of Expertise/interest
Image processing and Computer Vision, time-series, anomaly detection, machine learning & deep learning, and Data science.
Julia Palma
UCD
Julia Palma
UCD
Julia is the Programmes Manager of the Innovation Development Group at CeADAR. Julia has an academic background in health sciences and her professional background includes more than 15 years of experience in research, teaching, business development, consultancy and project/programme management for manufacturing and IT companies. In her previous role as Innovation Manager at the European Institute of Technology (EIT Health), she directly supervised over 200 project ideas and managed a pipeline of 17 collaborative innovation digital health projects (around 35M€). Julia has participated in the European Commission's DIH working groups within the "Digitising European Industry" initiative and chaired the Data i-Spaces subgroup of the Big Data Value Association (BDVA).
Miguel Aspis
Miguel Aspis
Miguel Aspis is an A.I developer at CeADAR with experience working on multiple projects from a number of different domains such education, e-commerce, finance and agrotech. His focus is on Transformers, NLP and large language models.
Areas of Interest
NLP, Deep Learning, Transformers, Machine Learning.
Sana Alamgeer
UCD
Sana Alamgeer
UCD
Sana Alamgeer received her PhD in Electronic and Automation Systems Engineering from the University of Brasília, Brazil, in July 2022. During her research, Sana developed deep learning-based visual quality metrics and bottom-up saliency models for multidimensional media (360-degree videos, 4D Light Fields, and 2D images/videos).
Interests include:
Visual attention and quality metrics, Light Field image processing, feature extraction, and deep learning.
Jaydeep Samanta
UCD
Jaydeep Samanta
UCD
Jaydeep Samanta is a Data Scientist at CeADAR. He holds a Bachelor's degree in Electronics and Communication from Gujarat Technological University, India. He recently graduated from the University of Limerick, Ireland with a Master's degree in Artificial Intelligence and Machine Learning. "Personal Protective Equipment Detection Using Deep Learning on Embedded Platforms” was the title of his MSc thesis. Previously, he worked as a Software Engineer at Nvidia where he contributed towards building tools and applications for Intelligent Video Analytics apps and services powered by Nvidia’s Jetson embedded platforms and GPUs. His area of interest is Deep Learning, Computer Vision, Applied Artificial Intelligence and Machine Learning, Data Engineering and Data Analytics.
Yilin Li
UCD
Yilin Li
UCD
Yilin is a data scientist at CeADAR, UCD. She completed a Master's degree in computer science from the University College Dublin in 2022 and an undergraduate degree in software engineering from China in 2016. Her interests are focused on machine Learning - deep learning, computer vision, and data analytics.
Omid Memarian Sorkhabi
UCD
Omid Memarian Sorkhabi
UCD
Omid Memarian Sorkahbi received a Ph.D. degree in surveying engineering from the University of Isfahan, in 2021. From September 2021 to September 2022, he was a postdoctoral researcher at the University of Isfahan. His research interests include remote sensing, deep learning, radar image, GNSS, and natural hazards.
Chan Le Van
Senior Data Scientist
Chan Le Van
Senior Data Scientist
Chan Le Van is a Senior Data Scientist at CeADAR. With a background that includes working at multiple industrial companies, Chan brings a wealth of experience to his role. Prior to joining CeADAR, he was a Software Development Engineer at Amazon Web Services (AWS), a Senior Full-stack Software Developer at Novartis Ireland, and an AI Software Developer at Accenture Ireland. Additionally, Chan has worked as a Research Assistant at Insight Centre for Data Analytics, NUI Galway. With a focus on full-stack application development, Chan has developed a wide range of hands-on skills, spanning from software engineering to artificial intelligence. In his free time, he enjoys gardening, reading books, and playing musical instruments.
Area of Expertise/Interests:
Software Engineering, Data Science, Machine Learning, Deep Learning, Big Data
Collaborators
Robert Ross
TUD
Robert Ross
TUD
Senior Lecturer and CeADAR PI, TU Dublin
Robert Ross is a Senior Lecturer in the School of Computer Science in the Technological University Dublin. Robert leads up the CeADAR team in TU Dublin. Robert has over 20 years of experience working in the field of artificial intelligence, having studied in UCD before moving to Germany to complete a PhD and work at the Spatial Cognition Research Centre in Bremen. Robert’s primary research interest is in Situated Intelligence including Robotics and Spoken Language Technology. Robert has a practical interest in all aspects of applied Machine Learning and has applied these technologies across domains ranging from Ag Science through the Automotive Industry.
Areas of expertise/interest:
Deep Learning, Dialogue Systems, Robotics, Computer Vision.
David Lillis
UCD
David Lillis
UCD
Assistant Professor in the School of Computer Science, UCD
In addition to being a Principal Investigator of CeADAR, David is the Principal Investigator of the €3m TRANSPIRE project (an industry collaboration funded through the Department of Enterprise, Trade and Employment’s Disruptive Technologies Innovation Fund), an SFI Funded Investigator in the CONSUS project (a €17.6m industry-focused collaborate research partnership funded through the SFI Strategic Partnership Programme in the area of Digital Agriculture), and a Collaborator within the UCD Forensics and Security Research Group.
David originally graduated from the University of Limerick with a B.A. in Law and Accounting. Following this, he moved to UCD where he switched to Computer Science. There he earned a H.Dip., M.Sc. and Ph.D. prior to joining the academic staff. He has published peer-reviewed research papers in a variety of subject areas, including Natural Language Processing, Information Retrieval, Agent-Oriented Software Engineering, Component-Based Systems, Wireless Sensor Networks and Digital Forensics.
Mark Scanlon
UCD
Mark Scanlon
UCD
Assistant Professor and CeADAR PI, UCD
Dr Mark Scanlon is an Assistant Professor in the UCD School of Computer Science (UCD CS), Principal Investigator for Cybersecurity in CeADAR, Founding Director of the UCD Forensics and Security Research Group, and the Director of UCD CS’s Masters in Forensic Computing and Cybercrime Investigation. He is on the Management Committee for the EU COST Action CA17124 (Digital forensics: evidence analysis via intelligent systems and practices), and a Fulbright Scholar in Cybersecurity and Cybercrime Investigation. His research interests include Automated Evidence Processing, Evidence Whitelisting & Data Deduplication, Intelligent Systems for Cybersecurity, and Network Forensics and Analytics. To date, Dr Scanlon has published over 50 peer-reviewed international conference and journal publications and has been presented with three Best Paper Awards. Dr Scanlon is an extremely active member of the digital forensics and cybersecurity research communities and is a keynote speaker, associate editor, reviewer, and conference organiser across a range of key journals and conferences in these fields.
Areas of expertise/interest:
Cybersecurity, Digital Forensics, Automation, Computer Vision, Network Analytics
Sarah Jane Delany
TU Dublin
Sarah Jane Delany
TU Dublin
Professor, TU Dublin
Sarah Jane Delany is a Professor at TU Dublin where she is responsible for postgraduate studies and research in the School of Computer Science. She is a co-founder of the Applied Intelligence Research Centre at TU Dublin and a co-PI of ML-Labs, the SFI Centre for Research Training in Machine Learning.
She has over 15 years of experience in applications of machine learning, specifically in the areas of text analytics, information retrieval, concept drift and active learning. Prior to getting her PhD from DIT in 2006, she worked as a technology consultant for a number of years.
Areas of expertise/interest:
Machine Learning, text analytics, active learning, concept drift.
Brett Becker
UCD
Brett Becker
UCD
Assistant Professor, UCD
Dr Brett Becker is an Assistant Professor at University College Dublin in the School of Computer Science. He is an expert in Computer Science Education and is also active in Parallel, High-Performance, and Heterogeneous Computing. He is currently serving as the head of the Steering Committee for the ACM CompEd conference, has won two best paper/presentation awards at ACM conferences, and is an Associate Editor for ACM Transactions on Computing Education. Brett holds leadership positions in several national and international education associations including being the current president of the All-Ireland Society for Higher Education, and a member of the International Consortium for Educational Development (ICED) council. Brett has established several industry/academic partnerships and has also served as the external expert for the Irish Department of Education and Skills teacher qualification subgroup for the Leaving Certificate Computer Science.
Areas of expertise/interest:
Educational Data Analytics; Learning Analytics; Educational Data Mining; Parallel, High-Performance and Heterogeneous Computing; Computer Science Education Research
Vivek Nallur
UCD
Vivek Nallur
UCD
Assistant Professor in the School of Computer Science, UCD
Vivek did a first degree in Business Management (University of Delhi, India) before crossing over to Computer Science. He did his Masters in Software Engineering from Carnegie Mellon University (US) and has a PhD from the University of Birmingham (UK). He has worked in the field of fraud detection and data mining for the Customs & Excise Deptt, Govt of India. He has also worked in quality assurance of APIs with VMware Inc. (Palo Alto, US) before turning to academia. His research interests lie in the areas of emergence detection, anomaly detection, nature-inspired optimization, predictive analytics and cognitive computing. Ever an advocate of applied research, he has worked on optimization of supply-chain management with SMEs in the US, as a part of his post-doctoral work.
Abdollah Malekjafarian
UCD
Abdollah Malekjafarian
UCD
Assistant Professor in the school of Civil Engineering at UCD.
Dr Abdollah Malekjafarian obtained his PhD in Civil Engineering at UCD in 2016 which was focused on “Drive-by bridge health monitoring using the response measured on a passing vehicle”, winning the “KB Broberg” medal for “Best UCD PhD Thesis in Mechanics- 2016”.
Other awards include the Royal Irish Academy Charlemount award in 2018 for his collaboration with University of Alberta. He was awarded a SFI-Industry Fellowship in 2018 which allowed him to spend one year at Gavin & Doherty Geosolutions (GDG) Ltd. working on “Dynamic soil-structure interaction modelling for the optimisation of offshore wind turbines”.
Main areas of research interest are Structural Dynamics and Random Vibrations for Civil Infrastructure including “Transport Infrastructure” and “Offshore Wind Turbines”.
Bojan Božić
TU Dublin
Bojan Božić
TU Dublin
Wael Rashwan
TU Dublin
Wael Rashwan
TU Dublin
Lecturer, TU Dublin
Wael Rashwan is a Data Scientist at CeADAR- Centre for Applied Data Analytics and Machine Intelligence- Dublin, Ireland. He holds a PhD in Operations Research and Optimisation from Technological University Dublin, Ireland and MSc in Optimisation from Cairo University. Wael has several years of industrial experience with one year in BELCO (Supply chain) and more than five years in MCE (Insurance). He led several projects in different industries agriculture, insurance and healthcare in Egypt and Ireland. Also, Wael has long experience in teaching international undergraduate and postgraduate students at Cairo University and TU Dublin. Wael is an active researcher in developing solutions and theories to support and address decision making in uncertain and complex environments. His particular research interests include Machine Learning, Prescriptive Analytics, Simulation, Optimisation, and Healthcare Innovation and Smart Hospitals. Currently, he is leading the healthcare innovation in CeADAR, passionate about using Machine Learning & Optimisation Technologies for solving problems in healthcare and Business domains. Wael has several papers published in top-tier Journals and conferences in different fields: Innovative Healthcare, Machine Learning, Simulation and Optimisation, Decision-making. In 2016, Wael received the Best Citizen Award for Innovating smart hospitals by IBM.
Gavin McArdle
UCD
Gavin McArdle
UCD
Assistant Professor, UCD
Dr Gavin McArdle is an Assistant Professor in the UCD School of Computer Science. Previously Gavin was a Research Fellow at the National Centre for Geocomputation (NCG) in Maynooth University and a Science Foundation Ireland funded Research Fellow at IBM Research. His research focus includes location-based services, user profiling, geovisual analysis, smart transport, smart city technology and urban dynamics. Gavin has an extensive publication record including edited books, book chapters, articles and research papers. He has been a keynote speaker at several international conferences and institutes and has received several grants from National and European Funding agencies to support collaboration with researchers in academia and industry.
Areas of expertise/interest:
Spatial Data Analysis, Urban Dynamics, Smart Cities, Human Mobility, Geovisual Anaysis, Urban Dashboards, Location Based Services, Spatial Recommnder Systems
Patricia O Byrne
TU Dublin
Patricia O Byrne
TU Dublin
Senior Lecturer and Agri-analytics specialist, TU Dublin
Patricia O’Byrne is a senior lecturer in the School of Computing in TU Dublin, having previously worked on automated process control systems and administration systems for a transport company. She holds a B.Sc. from University College Dublin and an M.Sc. in IT for Strategic Management from the University of Staffordshire. She is currently working on novel ways to use fusion sensors to estimate biomass in pastureland.
Areas of expertise/interest:
Deep Learning, Agri-analytics.
James Sweeney
UCD
James Sweeney
UCD
Assistant Professor in the School of Business, UCD
James Sweeney is an Assistant Professor in the Discipline of MIS, within the Quinn School of Business at University College Dublin (UCD). James graduated from UCD with a BSc in Mathematical Sciences in 2007. He obtained a Ph.D. in Statistics from Trinity College Dublin in 2012, with research focused primarily on computational statistics. He completed a postdoctoral position in University College Cork, where he worked in the area of medical imaging, before joining UCD as an academic member of staff.
James’s interests are in applied statistical modelling, with a wealth of consulting experience in that area. He has worked on projects for Colossus Betting, Styker Engineering (on behalf of Think Evolve Solve), iNavatas, and Brandyfloss Marketing amongst others. In each case the focus of the work was on the development and implementation of in-house statistical models operating in real-time. He has also supervised a number of projects with companies such as Paddy Power, Western Union, Zurich Insurance, The Revenue Commissioners and e-Health Ireland, and is involved in the commercialisation of a geospatial customer segementation product with Zurich Insurance.
His primary area of expertise is in Bayesian statistical modelling, with applications in spatial statistics, model based clustering, and data mining. His project experience has included applications in gambling, fraud detection, spatial modelling and models for customer behaviour.
Shen Wang
UCD
Shen Wang
UCD
Assistant Professor, School of Computer Science, UCD
Shen previously worked as the lead researcher for CeADAR on the AURORA EU H2020 project (big streaming data framework calculating flight efficiency) and the EXPERTS demonstrator project (explanable graph data analytics).
Shen’s Ph.D. work is on reducing urban road traffic using vehicular communications and artificial intelligence. He also worked with the team of Intelligent Transportation at IBM Ireland in 2013, and Natural Resources Solutions group at IBM Research Brazil in 2015.
His research interests include intelligent transportation systems, big streaming data, trajectory data mining, and network analysis. His is now an academic collaborator with the CeADAR Centre.
Anca Delia Jurcut
UCD
Anca Delia Jurcut
UCD
Assistant Professor, UCD
Dr. Anca Jurcut is an Assistant Professor in the UCD School of Computer Science since 2015. She received a BSc in Computer Science and Mathematics from West University of Timisoara, Romania in 2007 and a PhD in Security Engineering from University of Limerick (UL) in 2013 funded by the Irish Research Council for Science Engineering and Technology (IRCSET). She worked as a postdoctoral researcher at UL as a member of the Data Communication Security Laboratory and as a Software Engineer in IBM in Dublin in the area of data security and formal verification. She has recently acted as an evaluator of H2020 proposals for the Cryptography and Cybersecurity call. Dr. Jurcut research interests include Security Protocols Design and Analysis, Mathematical Modelling, Automated Techniques for Formal Verification, Cryptography, Computer Algorithms, Security for Internet of Things and Blockchain Security. Much of her work has focused on formal verification techniques for security protocols using deductive reasoning methods (modal logics and theorem proving); automation of logics for formal verification; the development of new logic-based techniques and tools for formal verification; the design and analysis of security protocols; formalisation and modelling of design requirements for security protocols.
Simon Caton
UCD
Simon Caton
UCD
Assistant Professor in the School of Computer Science, UCD
Dr. Caton is an Assistant Professor of Computer Science at University College Dublin (UCD). Before joining UCD he was a lecturer of data analytics at the National College of Ireland (NCI) from 2014 to 2019. Before joining NCI he was a senior researcher at the Karlsruhe Service Research Institute and the Head of Corporate and Cloud Services Research Division at the Institute for Information Systems and Management at both at Karlsruhe Institute of Technology (KIT) from 2009 to 2014. Prior to that he was a research associate with the School of Computer Science and Informatics at Cardiff University from 2008 to 2009 earning his PhD in Computer Science in 2010. His research interests sit at the intersection of parallel and distributed computing and data analytics with applications in computational social science, fintech, and medical imaging.
Areas of expertise/interest:
social / collaborative cloud computing, social media analysis, parallel / scalable machine learning, bias mitigation, text analytics and natural language processing
Deepu John
UCD
Deepu John
UCD
Dr. Deepu John, Assistant Professor, UCD
Deepu John received PhD degree in electrical engineering from National University Singapore, Singapore in 2014. He is a recipient of Institution of Engineers Singapore Prestigious Engineering Achievement Award (2011), Best design award at Asian Solid State Circuit Conference (2013), IEEE Young Professionals, Region 10 individual award (2013). He served as a member of technical program committee for IEEE conferences ASICON 2019, TENCON 2016. He is a reviewer of several IEEE journals and conferences and serves as an Associate Editor for IEEE Transactions on Biomedical Circuits and Systems.
Areas of Expertise:
His research interests include biomedical devices, energy efficient circuits & signal processing, low power AI for IoT devices etc. He is a senior member of the IEEE.
Deepak Ajwani
UCD
Deepak Ajwani
UCD
Dr. Deepak Ajwani, Assistant Professor in the School of Computer Science, UCD
His research interests lie at the confluence of algorithms and data-structures (with a focus on scalable graph algorithms), algorithm engineering, semantic analysis, combinatorial optimization and machine learning.
Dr. Ajwani has worked as a research scientist at Nokia Bell Labs from 2012-2018. As part of his work at Nokia Bell Labs, he co-lead the design and development of a cognitive computing tool for interpreting, organizing and navigating unstructured content. He addressed critical problems in the area, including (i) disambiguation of natural language text, (ii) automated topic labelling of a document, (iii) automatically extending knowledge hierarchies, (iv) automatically cleaning knowledge hierarchies and (v) comparing knowledge hierarchies.
He received his Ph.D. from Max Planck Institute for Informatics in 2008, for his work on I/O-efficient graph traversal algorithms. Thereafter, he worked as a Postdoctoral Researcher at MADALGO – Centre for Massive Data Algorithms, where he developed shared memory multicore algorithms for discrete optimization problems. In 2010, he was awarded a grant of around 75,000 Euro from the Irish Research Council for Science, Engineering and Technology (IRCSET) and IBM Research for a project on designing graph partitioning and repartitioning techniques in the context of Exascale stream computing systems. As part of this Postdoctoral work carried out at University College Cork, he proposed a methodology to co-optimize the inter-related hard problems of interconnect topology configuration, graph partitioning and routing, that provided fairly good solutions in very little time.
M. Atif Quereshi
TU Dublin
M. Atif Quereshi
TU Dublin
Lecturer/Assistant Professor at Technological University Dublin
Dr. Muhammad Atif Qureshi is a lecturer based in TU Dublin. He has authored more than 40 research publications and his areas of interests are Text Mining, Information Retrieval, Knowledge Graphs, Text Analytics, Business Analytics, Machine Learning, Explainable AI, Predictive Maintenance and Social Network Analysis.
Bianca Schoen Phelan
TU Dublin
Bianca Schoen Phelan
TU Dublin
Senior Data Scientist, TU Dublin
Dr. Bianca Schoen-Phelan is a lecturer and researcher in the School of Computer Science at TU Dublin City Campus. Bianca holds a B.Sc. in Computer Science from the University of Applied Sciences, Darmstadt Germany, and a Ph.D. in Computer Science from University College Dublin.
Bianca has previous industry experience as well as strong research experience on commercially focused research projects.
Bianca’s research interests are primarily in the areas of geospatial data, which includes airborne LiDAR data, satellite data and crowd-sourced data that contains geospatial components, as well as VR simulations of such. Furthermore, current research projects investigate machine learning and deep learning techniques on such data with a special focus on natural disaster analysis and management.
Santos Fernandez Noguerol
TU Dublin
Santos Fernandez Noguerol
TU Dublin
Assistant Lecturer, TU Dublin
Santos Fernández Noguerol is an Assistant Lecturer in Geomatics at the Technological University Dublin. He joined CeADAR as a Marie Curie Post-Doc Research Fellow in the School of Computer Science in TU Dublin. Previously, he completed a research stay at the National Centre for Scientific Research of France (CNRS).
He obtained a PhD in Spatial Analysis, Cartography and Land Planning, and holds an BSc (Hons) in Geography from University of Oviedo, Spain. His PhD Thesis was awarded by ESRI as the best GIS research of 2015, and it is catalogued in the Library of Congress and the British Library. In addition, he has been funded by Microsoft and Amazon Web Services.
Areas of expertise/interest:
Geographic Information Systems, spatial analysis, mapping, cloud computing.
Luis Miralles
TU Dublin
Luis Miralles
TU Dublin
Assistant Lecturer in the School of Computer Science, TU Dublin
Luis is currently an Assistant Lecturer at TU Dublin. He has a PhD in 2012 on creating new approaches within the Online Advertising world at the University of Murcia (Spain). He did postdoc levels I and II in CeADAR, UCD working on a project about predictive maintenance predicting oil and gas valves failures in the subsea for Wood Group Kenny. After that, he was involved in other projects related to reinforcement learning and explainability in natural language processing.
He has a good number of publications on topics related to how to apply ML to online advertising and Human Activity Recognition. He has also published on predictive maintenance applied to valve failure prediction. He has researched how to apply Reinforcement Learning to fight the COVID-19 pandemic and plan the containing levels considering both public health and the economy.
Areas of expertise/interest:
Machine Learning, Reinforcement Learning, Online advertising, Human activity recognition, Feature selection, Lecturing.
Dr Luca Longo
TUD
Dr Luca Longo
TUD
Dr Luca Longo, TUD
Artificial Intelligence & Cognitive Load Research Lab (AICL-lab)
MSc dissertation coordinator
School of Computer Science
College of Sciences & Health
Technological University Dublin
(TU Dublin City Campus)
www.lucalongo.eu
TEDx (DIT) | TEDx (Vicenza) | TEDx (Innopolis)
Affiliations
- Applied Intelligence Research Centre (AIRC)
- EI National Centre for Applied AI & Data Analytics Research (CeADAR)
- SFI Centre for Research Training in Machine Learning (ML-Labs)
- SFI Centre for Digitally Enhanced Reality (D-REAL)
- Applied Social Computing Research Group and Network (ASCNET)
- SFI global centre of excellence for digital content, media innovation (ADAPT)
Journals
(participating journals FRONTIERS in Human Neuroscience, Neuroergonomics, Psychology, Education, Computer Science, Neuroinformatics, Computational neuroscience)
- Issue Advances in Explainable Artificial Intelligence (MDPI Machine Learning & Knowledge Extraction Journal)
- Research Methods (FRONTIERS in Research Metrics & Analytics journal)
- Real-World Applications of Neurophysiological Monitoring for Passive Brain-Computer Interfaces (FRONTIERS in Human Neuroscience Journal)
- Special Non-invasive neuroergonomic approaches for understanding user & teams in everyday contexts (FRONTIERS in Neuroergonomics Journal)
https://youtu.be/mjoBCwmeHKs
Commercialisation Project Teams
Richard Cooke
UCD – La Casa Project
Richard Cooke
UCD – La Casa Project
An engineering graduate from UCD, he has over 30 years’ experience in senior leadership roles in ICT, medtech and telecoms. Richard has worked in the telecommunications industry since 1990, became MD of Ireland’s first internet provider, EUnet in 1997 and ultimately, CEO of Esat Group (now BT Ireland) in 2000.
Since 2002, he has been CEO with number of ICT and medtech ventures from company start-up, through to sale and exit. Since 2014 he has been active as a Management Consultant & investor.
Avril Power
UCD – Giyst Project
Avril Power
UCD – Giyst Project
A masters graduate of The Michael Smurfit Business School, UCD, Avril has over 17 years experience specialising in marketing, brand development and growth across a range of multinational companies and start-ups. A creative and results-oriented leader who is passionate about using data-led insights to successfully launch new products and enter new markets.
Alan Power
UCD – FeetAI Project
Alan Power
UCD – FeetAI Project
Graduate in electronic engineering, with masters in both mobile development and business in ecommerce from UCD. Alan has over 20 year’s experience working in product development, service and consulting at a senior level in the eLearning and mobile tech markets, with significant experience in start-up and high-growth environments.
Yogeesha Yogeesha
UCD – FeetAI Project
Yogeesha Yogeesha
UCD – FeetAI Project
Yogeesha, Software Developer, CeADAR UCD
Yogeesha is a Software Developer at CeADAR and holds more than 6 years experience in Software Development. He holds a Bachelor’s Degree in Computer Science and Engineering from NMAMIT Nitte,India.
Prior to this Position he has worked at Teslon Technologies Pvt Ltd, a Healthcare IOT company where he applied various software technologies to build telemedicine platform, tele ICU solutions, remote patient monitoring IOT solutions. He has worked on projects that involved multiple domain expertise including Medical and Healthcare.
He has also worked at Infosys Technologies Pvt Ltd as Systems Engineer.
Areas of Expertise :
Full Stack Software development.
Interests:
Machine Learning, Deep learning, Real time Data analysis, Data Visualization
Professional Staff
Erin Finnerty
Centre Operations Manager
Erin Finnerty
Centre Operations Manager
Erin is an experienced operations, programme, events and project manager. She has worked for companies in public, private and non-profit sectors. More recently Erin has specialised in post award project management and administation working on H2020, EI, SFI, HRB and FP7 projects.
Méabh Garrick
Europe Funding Manager UCD
Méabh Garrick
Europe Funding Manager UCD
Méabh Garrick is the Europe Funding Manager at CeADAR. She obtained an M.Sc. in Photonics from the Friedrich-Schiller Universität in Jena, Germany. As a student and subsequent graduate researcher at the Fraunhofer-Institut für Angewandte Optik und Feinmechanik, she specialised in the area of laser-induced damage to optical materials and angle resolved scattering (ARS) from surfaces. Prior to joining CeADAR, she worked as an optical engineer and technical lead on a number of large European H2020 projects with topics including: inline NIR spectroscopy and thin film measurement. She is an experienced and well-rounded scientific researcher and project coordinator with a broad knowledge of both academic and commercial worlds and their respective challenges.
Sara Stevenson
Business Development Manager (Part-time)
Sara Stevenson
Business Development Manager (Part-time)
Sara is an experienced management consultant having worked in the UK and Ireland across a number of industries including the public sector, banking & insurance, utilities and the health service. Most recently Sara lead the programme that saw the establishment of the Leadership Academy in the HSE. Sara joins CeADAR to oversee the Work Ready Graduate Programme.
Tricia Logan
Research Accounts (part-time)
Tricia Logan
Research Accounts (part-time)
Tricia joins CeADAR as an experienced accounts assistant.
She has gained valuable experience in various sectors including insurance, aviation, pharmaceutical & med tech. She holds a BA Degree (Economics) from UCD and is a member of Accounting Technicians Ireland and Irish Tax Institute.
Nathalie Norton
UCD
Nathalie Norton
UCD
Nathalie has over 20 years’ experience in Marketing and Communications and has worked in both the UK and Ireland across a number of industries including Entertainment, Automotive and Retail.
Most recently Nathalie worked with an Aeronautical Software company delivering Communications as part of a European Horizon 2020 project.
Nathalie graduated from the University of Glasgow and went on to complete the DIT & Enterprise Ireland International Selling Post Graduate Diploma in 2018.
Principal Investigators
Edward McDonnell
Centre Director
Edward McDonnell
Centre Director
Edward McDonnell is the Director of the National Centre for Applied Data Analytics & Machine Intelligence www.ceadar.ie The Centre which is funded by EI and the IDA has over 80 member companies across a wide span of industries. The Centre’s primary focus is on delivering industry prototypes, technology demonstrators and state-of-the-art reviews. The CeADAR Centre won
i-Spaces accreditation from the EU’s BDVA in 2018 and the Dunn & Bradstreet award for best research group.
CeADAR is a founder along with NextGeneration of the annual European Data Science Awards.
Prior to being appointed Director of CeADAR, Edward was European Director of Innovation & Technology Research at Fidelity Investments. The role involved prospecting for FinTech technology and investment opportunities across Europe, understanding developments in the European innovation ecosystem, and directing technology trials.
Edward has also held various technical and global senior management roles in the Office of Strategy and Technology at Hewlett-Packard Europe based in England.
Edward has a PhD in Analytics and AI from the University of Edinburgh, is a Fellow of the IEE & ICS, and is the named inventor on 76 granted patents. He has been awarded several international prizes including the Scientific American top 50 technologies that demonstrate outstanding leadership, Grand Award and Overall Winner for Innovation, Popular Science (USA), Horizon Award “10 Cool Cutting Edge Technologies”, Computer World (USA).
Oisin Boydell
Principal Data Scientist and Head of the Applied Research Group UCD
Oisin Boydell
Principal Data Scientist and Head of the Applied Research Group UCD
Dr Oisín Boydell is Principal Data Scientist and Head of the Applied Research Group at CeADAR, Ireland’s centre for Applied AI at University College Dublin. His primary research interests include deep learning and machine learning, real-time analytics and blockchain technology. After working as a software developer in the UK, Oisín returned to UCD to undertake a PhD in Computer Science, researching novel approaches for personalized information retrieval. Prior to joining CeADAR he worked for a number of years in the research and innovation team at ChangingWorlds Ltd (subsequently acquired by Amdocs Ltd) where he developed big data analytics and machine learning solutions for the telecommunications industry. At CeADAR, Oisín leads industry focussed research projects in collaboration with industry partners across a broad range of technology areas including machine learning, deep learning, blockchain, recommender systems, data stream processing and real-time analytics.
Areas of expertise/interest:
Machine Learning, Blockchain, Realtime Analytics
Ricardo Simon Carbajo
Head of Innovation & Development UCD
Ricardo Simon Carbajo
Head of Innovation & Development UCD
Dr Ricardo Simon Carbajo is the Head of Innovation & Development at CeADAR. Ricardo leads the IDG group, composed of senior data scientists, which focuses on the development of bespoke advanced data analytics and AI solutions for SMEs and MNCs operating in a large range of verticals (energy, manufacturing, insurance, fintech, healthcare, telecoms, etc). He is also responsible for EU Research & Innovation and actively participates in European colloquiums and events to foster collaboration at EU level. Prior to this position, Ricardo was Adjunct Lecturer, Senior Research Fellow and Post-Doctoral Researcher in Trinity College Dublin, University College Dublin and Dublin City University. Ricardo holds a B.Sc. in Computer Science from the University of Leon (Spain), an M.Sc. in Networks and Distributed Systems and a PhD in Computer Science from Trinity College Dublin (Ireland). His applied research background includes areas such as wireless networking, distributed systems, signal processing, sensor data fusion, real-time data analytics and advanced machine learning. Ricardo also has experience in entrepreneurship, as founder of a start-up company in the Industry 4.0 sector. LinkedIn: https://ie.linkedin.com/in/ricardo-simon-carbajo-7141464
Areas of expertise/interest:
Advanced Machine Learning, Wireless Networking, Distributed Systems, Signal Processing, Sensor Data Fusion, Real-time Data Analytics with application to multiple verticals.
Arsalan Shahid
UCD
Arsalan Shahid
UCD
Technology Solutions Lead and Head of CeADAR Connect Group UCD
Arsalan Shahid, PhD, works as a Technology Solutions Lead and serves as the Head of CeADAR Connect Group (CCG) at Ireland's National Centre for Applied AI (CeADAR). Serving as a “connection between CeADAR and industry clients and members” and engaging with a range of industry verticals, the CeADAR Connect group delivers AI/ML-focused R&D and technology solutions to the clients. Previously, Arsalan worked as a research scientist in the Insight SFI Research Centre for Data Analytics, Ireland. Arsalan contributed to a number of technology projects funded by European Commission H2020, Enterprise Ireland, Science Foundation Ireland, and ICT R&D Ignite Pakistan. His research is in advanced healthcare data analytics using AI/ML, intelligent cloud-based technologies, and high-performance supercomputing and embedded computing platforms. Arsalan received his MBA from Quantic School of Business and Technology, Washington USA and a PhD in High-performance Computing from University College Dublin, Ireland. He graduated as a gold medalist for the best final year project in BS Electrical Engineering from HITEC University, Pakistan.Website: www.arsalanshahid.info
Areas of Expertise/Interest
AI in Healthcare, Energy of Computing, High Performance Computing, Intelligent Cloud Computing.Funded Investigators
Robert Ross
TUD
Robert Ross
TUD
Senior Lecturer and CeADAR PI, TU Dublin
Robert Ross is a Senior Lecturer in the School of Computer Science in the Technological University Dublin. Robert leads up the CeADAR team in TU Dublin. Robert has over 20 years of experience working in the field of artificial intelligence, having studied in UCD before moving to Germany to complete a PhD and work at the Spatial Cognition Research Centre in Bremen. Robert’s primary research interest is in Situated Intelligence including Robotics and Spoken Language Technology. Robert has a practical interest in all aspects of applied Machine Learning and has applied these technologies across domains ranging from Ag Science through the Automotive Industry.Areas of expertise/interest:
Deep Learning, Dialogue Systems, Robotics, Computer Vision.
Quan Le
UCD
Quan Le
UCD
Research Fellow, UCD
Quan is a Research Fellow based in CeADAR, UCD. He did a PHD in protein structure classification, using neural networks and kernel methods. After his PHD, he did a postdoc in bioinformatics, working on the application of profile Hidden Markov Models in sequence alignments. His interests include machine learning – deep learning, and machine learning applications.
Dr Luca Longo
TUD
Dr Luca Longo
TUD
Dr Luca Longo, TUD
Artificial Intelligence & Cognitive Load Research Lab (AICL-lab) MSc dissertation coordinator School of Computer Science College of Sciences & Health Technological University Dublin (TU Dublin City Campus) www.lucalongo.eu TEDx (DIT) | TEDx (Vicenza) | TEDx (Innopolis)Affiliations
- Applied Intelligence Research Centre (AIRC)
- EI National Centre for Applied AI & Data Analytics Research (CeADAR)
- SFI Centre for Research Training in Machine Learning (ML-Labs)
- SFI Centre for Digitally Enhanced Reality (D-REAL)
- Applied Social Computing Research Group and Network (ASCNET)
- SFI global centre of excellence for digital content, media innovation (ADAPT)
Journals
(participating journals FRONTIERS in Human Neuroscience, Neuroergonomics, Psychology, Education, Computer Science, Neuroinformatics, Computational neuroscience)
- Issue Advances in Explainable Artificial Intelligence (MDPI Machine Learning & Knowledge Extraction Journal)
- Research Methods (FRONTIERS in Research Metrics & Analytics journal)
- Real-World Applications of Neurophysiological Monitoring for Passive Brain-Computer Interfaces (FRONTIERS in Human Neuroscience Journal)
- Special Non-invasive neuroergonomic approaches for understanding user & teams in everyday contexts (FRONTIERS in Neuroergonomics Journal)
Staff
Aditya Grover
UCD
Aditya Grover
UCD
Data Scientist II, UCD
Aditya is a Data Scientist at CeADAR and has worked on several projects across various domains including aviation, finance, transportation and mining. His work in transportation and logistics was done using constraint programming and optimization techniques. He previously worked on the AURORA European Union Horizon 2020 project using Big Data streaming technologies that help in the dynamic monitoring of efficiency metrics generated by air traffic management (ATM) systems. Aditya completed his Masters’ in Computer Science with the Data Science specialization from University College Dublin. He began as a summer intern with CeADAR, where he worked on a Deep Learning project using Tensorflow. He also holds a Bachelor’s degree in Computer Science Engineering from Vellore Institute of Technology, India. He previously worked with Accenture for 1.5 years, predominantly as a database administrator for Cassandra.Areas of expertise/interest:
Machine Learning, Combinatorial Optimization, Aviation, Logistics, Big Data Streaming
Quan Le
UCD
Quan Le
UCD
Research Fellow, UCD
Quan is a Research Fellow based in CeADAR, UCD. He did a PHD in protein structure classification, using neural networks and kernel methods. After his PHD, he did a postdoc in bioinformatics, working on the application of profile Hidden Markov Models in sequence alignments. His interests include machine learning – deep learning, and machine learning applications.
Andres Suarez-Cetrulo
UCD
Andres Suarez-Cetrulo
UCD
Senior Data Scientist, UCD
Andrés L. Suarez-Cetrulo is a Senior Data Scientist at CeADAR (UCD). Previously, he worked as a Senior Consultant in Deloitte Analytics Ireland and as a Data Analyst at Vodafone Spain. Andrés has industry experience in the banking, finance, insurance, telecommunications and energy sectors. He has held multiple roles throughout his career such as Data Analyst, analysing massive data sets of information to support decision-making processes and using Hadoop and Spark as main Big Data technologies; ETL developer, e.g. helping to develop processes to support online marketing and business operations; and Data Scientist, applying and proposing new Machine Learning algorithms at research and programming level. He is currently completing his PhD in self-adaptive Machine Learning algorithms for data streams and non-stationary time series.Areas of expertise/interest:
Machine Learning, Evolving and self-adaptive algorithms, Big Data, Real-time Analytics, Data Analysis
Saad Shahid
UCD
Saad Shahid
UCD
Data Scientist/Software Engineer, UCD
Saad’s background is in product development, data analytics, machine learning, e-commerce and recommender systems. Saad’s interests are focused on deep-learning, blockchain and augmented reality.
Corrado Grappiolo
UCD
Corrado Grappiolo
UCD
Dr. Corrado Grappiolo Applied Research Group, UCD
Corrado Grappiolo holds a PhD in Computational Intelligence (2014, IT University of Copenhagen, Denmark), a MSc in AI with a major in gaming (2008, Universiteit van Amsterdam, The Netherlands) and a BS and MS in Computer Science, the latter with a major in nature-inspired computation (2002 and 2004, University of Milan Bicocca, Italy). Corrado expertise is in bio-inspired AI approaches.Areas of interest/expertise:
Corrado’s main interest is on the combination of different forms of intelligence (human, nature-inspired, connectionist, symbolic, etc.) for the creation of computational systems that can cooperatively and continually learn in real-life domains and scenarios. He tries to spice it all up by means of self-organisation, adaptation and evolution.
Rajnish Rakholia
UCD
Rajnish Rakholia
UCD
Dr. Rajnish Rakholia is a Data Scientist at CeADAR.
He holds B.Sc. in Physics from Saurashtra University, Master’s in Computer Science from Ganpat University and PhD in Computer Science from R K University, Gujarat, India. Prior to this position, Rajnish was working (as an Assistant Professor) at S. S. Agrawal Institute of Management & Technology, Gujarat Technological University (GTU), India.Areas of expertise/interest:
Machine Learning, Data Science, Deep Learning, Big Data, Data Analysis and Visualization
Cristian Bosch Serrano
UCD
Cristian Bosch Serrano
UCD
Cristian is a Senior Research Data Scientist at CeADAR, UCD. With a M.Sc. degree in Nanotechnology and a Ph.D. in Physics, his prior research comprises topics such as Qubit realization with spin control in molecules and Beyond Standard Model phenomenology. During his physics research period, he was invited to the high energy research centres CERN (Switzerland) and Fermilab (US). He joined CeADAR as a Marie Curie Career-FIT fellow and since then has performed research in the fields of Predictive Maintenance for wind turbines and Computer Vision applications to industry.
Manokamna Singh
UCD
Manokamna Singh
UCD
Data Scientist, UCD
Manokamna Singh is a Data Scientist at CeADAR. He did his Bachelors in Information Technology from RGPV, India and completed his MSc. in Data Science & Analytics from Maynooth University, Ireland . His MSc. thesis was on “Comparison of Statistical Models to near-infrared spectroscopic data in food authentication studies.” His research background includes data engineering, machine learning, feature selection, and data visualization. He has industrial exposure banking and payment domain companies. His work experience is in the area of database management, code optimization, database designing, data mining, data analysis, and visualization.Areas of expertise/interest:
Database Engineering, Application of machine learning, Data Analysis and Visualization
Tamara Matthews
UCD
Tamara Matthews
UCD
Senior Postodoctoral Researcher, TU Dublin
Tamara Matthews is a Researcher in the School of Computing at TU Dublin. Tamara obtained her PhD in Plasma Physics (diagnostics of magnetized plasma) from Dublin City University and pursued research in plasma physics (plasma diagnostics, optimization, numerical modelling). She holds a Physicist Engineer degree from the University of Bucharest. Prior to her PhD, she worked as a researcher in Radiation Dosimetry at NIPNE – Bucharest specializing in 3D Monte Carlo simulations for radiation transport. She also holds a recent MSc degree in Data Analytics from the National College of Ireland. Her recent expertise includes NLP and non-linear algorithms for drift compensation of online sensors.Areas of expertise/interest:
Machine Learning, Deep learning, Text Analytics, Optimization Algorithms, Data Visualization.
Hossam Zawbaa
TU Dublin
Hossam Zawbaa
TU Dublin
Dr Hossam Zawbaa is a Marie Curie Research Fellow at CeADAR, TUD.
Hossam received his BSc in 2008 and MSc degree in 2012, both from the Faculty of Computers and Artificial Intelligence, Cairo University, Egypt. He received his PhD in 2018 from the Faculty of Mathematics and Computer Science, Babes-Bolyai University, Romania. Interestingly in 2020, Hossam has rated as one of the top 2% scientists worldwide by Stanford in Artificial Intelligence. Also, Hossam has awarded the State Encouragement Award for the year 2020 in the field of Engineering Sciences from the Academy of Scientific Research and Technology, Egypt. He has authored/co-authored over 65 publications in peer-reviewed reputed journals and international conference proceedings. As per Google Scholar, Hossam has more than 2600 citations, 29 h-index, and 45 i10-index.Areas of Expertise/Interest:
Machine Learning, Computer Vision, Pattern Recognition, Deep Learning, Artificial Intelligence, Metaheuristic Optimization
Bujar Raufi
TUD
Bujar Raufi
TUD
Bujar Raufi holds a PhD in Communications and Computer Technologies – Computer Systems, Complexes and Networks from Technical University in Sofia, Bulgaria. Bujar’s research background is in designing and implementing new approaches and directions regarding user Adaptive Intelligent Systems by fusing Data Mining and IR techniques with Semantic Web. Bujar’s has been awarded with Marie Curie fellowship in 2020 and he is researching in the field of Human Mental Workload and personalization. The fellowshi
Areas of expertise/interest:
Computer Systems and Networks, Personalisation and Human Mental Workoad.
Hamidreza Rabiei Dastjerdi
UCD
Hamidreza Rabiei Dastjerdi
UCD
Marie Skłodowska-Curie Fellow, UCD
Dr Hamidreza Rabiei Dastjerdi is a Marie Skłodowska-Curie Fellow at School of Computer Science (UCD), CeADAR, and Future Analytics Consulting. Previously, he was a National Elites Foundation research fellow at the Faculty of Social Sciences, University of Tehran. He completed his PhD in Spatial Planning and Urban Development at the University of Politecnico di Milano, an MSc in Remote Sensing and Geographic Information Systems at Tarbiat Modares University and a B.Eng. in Mining Engineering (Exploration) at Yazd University in Iran.Areas of expertise/interest:
Urban Data Analytics, Smart Cities, Remote Sensing & GIS Applications and Development, Spatial Social Research Methods, Spatial Demography, and Spatial Inequality.
Garima Vatsa
UCD
Garima Vatsa
UCD
Garima is a Data Scientist at CeADAR, UCD, with experience in Machine Learning, Natural Language Processing, and application development in the banking and insurance domain. She recently finished a master’s degree in Advanced Computer science at the University of Leeds specializing in data analytics. Her dissertation topic was “Deep Learning for under-resourced languages and dialects”. Previously, she completed her undergraduate degree at BIT Sindri, India.
Areas of expertise/interest:
Machine Learning, Natural Language Processing, Computer Vision, Data mining and analytics
Pankaj Badatia
UCD
Pankaj Badatia
UCD
Data Scientist , UCD
Pankaj is a Data Scientist at CeADAR and holds more than 5 years experience in Research & Development. He holds Masters Degree in Electronics Engineering (VLSI and Embedded) . from College of Engineering, Pune and Bachelor in Electronics and Telecommunication Engineering. Prior to this Postion he has worked with Analytics company where, he applied various deep learning and machine learning technique for Text , Audio, Image and Video Processing. He has worked on projects that involved multiple domain expertise including Energy, Medical and Healthcare, BFSI Sector. In Renewable Energy sector he has worked on providing solutions on various solar projects ranging from milli watt mW to Mega Watt (MW). He has also worked in a Biomedical Company as Design Engineer in there R&D Team and have launched several products like Glucometer and Hemoglobin meter(Invasive and Non Invasive) that involved extensive use of data analytics for improving accuracy of the device.Areas of Expertise/Interest :
Applying Machine Learning to Real World Problems, Deep learning,Computer vision,Signal Processing,Video Processing ,Real time Data analysis, Sensor Data Fusion, Data Visualization, Audio Analysis ,Text Analytics.
Polat Goktas
UCD
Polat Goktas
UCD
Polat Goktas’ Ph.D. research is a highly interdisciplinary mix of image acquisition, image processing, data analysis and life sciences. His main project was on the analysis and experimental study of single biological cells especially for red blood cells, to identify structures without staining for label-free, high throughput classification and detection of cellular information at the single cell level, especially for in vitro diagnostic research.
Polat is currently undertaking a Marie Sklodowska Curie Career-FIT PLUS fellowship with funding from Enterprise Ireland and the European Union under the MSCA COFUND scheme. His project titled “DeepStain: Deep Learning for Cell Image Analysis” is harnessing artificial intelligence to power the future of stem cell manufacturing.
Areas of expertise/interest:
Deep learning, image processing, data analytics
Romila Ghosh
UCD
Romila Ghosh
UCD
Romila is a Data Scientist at CeADAR, UCD with experience in developing Machine Learning, and Natural Language Processing solutions across various industries including healthcare, finance, forensics and government. Previously, she has worked with Dun & Bradstreet as a Senior Data Scientist and with PwC as a Data Scientist. She has made various contributions in application and solution development for clients where she has built applications leveraging NLP and predictive modelling, development of recommendation engines, development of scores leveraging machine learning algorithms, statistics and big data technologies, etc. She holds a Master degree in Statistics from Amity University, India. Apart from her professional engagements, she has published research papers on emotion recognition in a conversational context and the application of Deep Learning in Population Genetics.
Areas of expertise/interest:
Machine learning, Natural Language Processing, Deep Learning
Vikas Ojha
UCD
Vikas Ojha
UCD
Vikas is a Data Scientist at CeADAR, UCD, with experience in Machine Learning, Computer Vision and Data Analytics. He holds a Bachelor’s Degree in Computer Science and Engineering from Manipal University Jaipur, India. Previously, he worked as an Artificial Intelligence Engineer at Mercer-Mettl, where he applied deep learning and computer vision solutions to various real world projects in the EdTech domain.
Areas of expertise/interest:
Machine Learning, Computer Vision, Deep learning, Data analytics.
Adrian Byrne
UCD
Adrian Byrne
UCD
Dr Adrian Byrne Marie Curie Fellow
With qualifications and work experience in economics and statistics, Adrian is a quantitative social scientist with expertise in multilevel modelling investigating inequalities at different levels and examining how these inequalities interact. Adrian has been awarded funding to undertake a research project entitled “Algorithmic auditing for improving model explainability and detecting bias using sociodemographic data”. This project is jointly supported by the CeADAR centre (National Centre for Applied Data Analytics & Machine Intelligence at University College Dublin) and Idiro Analytics.
Daniel Gibert
UCD
Daniel Gibert
UCD
Dr. Daniel Gibert Marie Curie Fellow, UCD
Daniel Gibert is a Marie Curie Career Fit PLUS Fellow at CeADAR, UCD. He holds a PhD in Engineering and Information Technologies from University of Lleida, Spain. His doctoral work explored the application of machine learning and deep learning to detect and classify malware. Daniel has been awarded funding to undertake a research project named “Development of a Robust, Scalable, and Explainable AI-based System for Malware Detection”. The project is supported by CeADAR and IBM.
Areas of interest/expertise:
Machine Learning, Natural Language Processing, Deep Learning, Computer Security.
Hristo Stoev
UCD
Hristo Stoev
UCD
Hristo has a MSc in Computer Science from TUD and an undergraduate degree in Management Science and Information Systems Studies.
Before completing his Masters Hristo worked as a freelance website developer and data analyst. In addition to this Hristo continues to teach classes for gifted secondary school students in the area of website design, cybersecurity and app design.
Hristo is currently working on placement with a leading Irish consultancy firm working across a number of clients and projects including developing a proof of concept text recogniser tool using deep learning techniques.
Areas of interest/expertise:
machine learning, predictive analytics, neural language, and the integration with cloud computing.
Fatma Hachani
UCD
Fatma Hachani
UCD
Dr Fatma Hachani is a Project Coordinator at CeADAR where she is involved in a number of European projects. Her current interests include data science, artificial intelligence and big data, and her work aims at facilitating data access and knowledge exchange between applied data analytics hubs across Europe.
Area of interest / expertise:
Dr Hachani is originally a geophysicist. She obtained a PhD in geophysics from the University of Tsukuba in Japan in 2011 and worked as a researcher in Tunisia for a few years in applied data research.
Venkatesh B. Parthasarathy
UCD
Venkatesh B. Parthasarathy
UCD
Venkatesh BP is from the southern part of India. He completed his Masters in MSc in Data Analytics at DCU. During his master’s he worked on Data Augmentation on Low resource languages using Neural Machine translation. After that he worked as an Associate Developer at KantanAI where he worked on building text analytics tool and machine translation projects. Venkatesh joins the CeADARConnect programme.
Areas of Interest:
Data Analytics, NLP, Machine Learning, Deep Learning, Text Analytics.
Hanene Jemoui
UCD – Giyst Project
Hanene Jemoui
UCD – Giyst Project
Hanene is a Software Engineer at CeADAR and holds more than 13 years’ experience. She worked as a software developer and as a technical project manager and she contributed to the implementation of several IT projects within Banks and Telecom companies. She holds an engineering degree in computer science from ENSEIRB-MATMECA a French Grande Ecole.
Interests:
Mobile and web applications ecosystem, security, and AI.
Waqar S. Qureshi
TUD
Waqar S. Qureshi
TUD
Dr. Waqar S. Qureshi Marie Curie Fellow, TUD
Waqar S. Qureshi is an electrical engineer by training with over 17 years of experience in research and development in industry and academia. He has a strong passion for automated image analysis and artificial intelligence techniques in signal processing with a focus on solving real-world societal problems. After he graduated from UET Lahore Pakistan he worked at the National Engineering and Scientific Commission Pakistan as an electronic testing engineer. He completed his master’s in computer engineering in 2007 from UET Taxila Pakistan with a major in digital design and signal processing. Since 2007, he has taught many undergraduate and graduate subjects related to computer programming, digital logic design, electronics, robotics, signal, and image processing. He received the Doctor of Engineering degree in Mechatronics at the Asian Institute of Technology Thailand in 2015. After his PhD, he joined XYZPrinting Inc. Thailand, where he developed commercially viable products that led to US, Chinese and EU patents. In 2016, he returned to academia to fulfil his obligation to work at the National University of Sciences and Technology (NUST), Islamabad Pakistan for five years. At NUST, he focussed on applied research in image processing and machine learning for precision agriculture and consumer products. As part of his administrative duties, he was departmental research head (2016-2021) and a core team member that organized IEEE international conferences (ICRAI 2016, 2019, and 2021), national workshops, national annual robotic competitions (2016-2019), and outcome-based education accreditation for mechatronics engineering program 2019. During his tenure at NUST, he supervised eight master's students and co-supervised one PhD student. He has a strong publication record (14 international journal articles and 12 conference papers) and has secured four research grants/awards (excluding Career-FIT plus) and many development projects (approx. 284 thousand USD), all of which are completed. These projects enabled collaboration with diverse researchers in Thailand, Australia, Russia, Czechia, France, Japan, Taiwan, Saudi Arabia, and China. His strong interpersonal skills allow him to interact with a wide range of stakeholders, build effective relationships and manage project partners. He has won several awards including an NUST Faculty Development Fellowship, a Visiting Researcher Scholarship to Japan, travel grants to present his research at a conference in Portugal in 2014 and later in Italy in 2015 and the best poster award in 2014 at the Asian Institute of Technology Research Exhibition. He is now a CareerFit plus Fellow at CeADAR. He is working on automated analysis of visual cues will be a combination of image processing and machine learning techniquesAreas of Interest
Computer programming, digital logic design, electronics, robotics, signal, and image processing.
Krithika Sharon
UCD
Krithika Sharon
UCD
Krithika Sharon Komalapati, CeADAR Connect Data Scientist
I'm Krithika Sharon having a MSc in Artificial Intelligence from Dublin City University where my thesis was on "Aspect Based Sentiment Analysis using BERT". After this, I worked as a Data Science Intern at Orcawise, Dublin where I worked on Annotating Data and Acquiring keywords for Buying Signals. I completed my undergraduate degree in Computer Science in India after which I worked as a QA at Harman International, Bangalore, India.
Areas of Interest
Machine Learning, Natural Language Processing, Deep Learning, Data Analysis
Assem Alsawy Abdel Hak
TUD
Assem Alsawy Abdel Hak
TUD
Assem Alsawy Abdel Hak, Marie Curie Research Fellow, TUD
Assem has completed his Ph.D. (2014) in Artificial Intelligence at Cairo University (Egypt), MSc (2010) in Computer Sciences at Cairo University, and a BSc (1993) in Mathematics at Ain Shams University - Egypt. He worked as Lecturer at the Faculty of Science, Cairo University (Egypt) (2014-2016). He conducted a research period as a Chief data science in AR-Vision Company (2016-2020). Assem also worked as an Assistant professor at Ahram Canadian University (Egypt) (2019-2021). Since March 2021 Assem joined CeADAR and TU Dublin as Marie Skłodowska-Curie postdoctoral fellow and he is a member of the Cairo Innovation Team, Egypt, and the Intelligent Applied Research Centre, IrelandAreas of interest
- Machine Learning (Deep Learning) - Computer Vision - NLP
- Granular Computing and Uncertainty
Arsalan Shahid
UCD
Arsalan Shahid
UCD
Technology Solutions Lead and Head of CeADAR Connect Group UCD
Arsalan Shahid, PhD, works as a Technology Solutions Lead and serves as the Head of CeADAR Connect Group (CCG) at Ireland's National Centre for Applied AI (CeADAR). Serving as a “connection between CeADAR and industry clients and members” and engaging with a range of industry verticals, the CeADAR Connect group delivers AI/ML-focused R&D and technology solutions to the clients. Previously, Arsalan worked as a research scientist in the Insight SFI Research Centre for Data Analytics, Ireland. Arsalan contributed to a number of technology projects funded by European Commission H2020, Enterprise Ireland, Science Foundation Ireland, and ICT R&D Ignite Pakistan. His research is in advanced healthcare data analytics using AI/ML, intelligent cloud-based technologies, and high-performance supercomputing and embedded computing platforms. Arsalan received his MBA from Quantic School of Business and Technology, Washington USA and a PhD in High-performance Computing from University College Dublin, Ireland. He graduated as a gold medalist for the best final year project in BS Electrical Engineering from HITEC University, Pakistan.Website: www.arsalanshahid.info
Areas of Expertise/Interest
AI in Healthcare, Energy of Computing, High Performance Computing, Intelligent Cloud Computing.
Natalia Resende
UCD
Natalia Resende
UCD
Natalia Resende, PhD is a former post-doctoral researcher and Marie Skłodowska–Curie research fellow at Dublin City University, School of Computing where she worked for 4 years on several research projects involving Machine Translation, Natural Language Processing and Psycholinguistics. Natalia Resende holds a degree in English from the Federal University of Minas Gerais, Brazil. She received her doctorate in Linguistics with an emphasis in psycholinguistics from the Federal University of Santa Catarina, Brazil, in 2015 and a Master's degree in Natural Language Processing from the University of Wolverhampton, UK, in 2009.
Aafaq Khan
Aafaq Khan
Aafaq did a bachelor's degree in Electrical Engineering from the University of Engineering and Technology, Lahore, and a master's degree in Data Analytics from the National College of Ireland. Aafaq joins CeADARConnect programme. He also has 2.5 years of teaching experience at the university level. His interests include Machine Learning, Deep Learning, Data Analytics, and Cricket.
Vicky Kumar
UCD
Vicky Kumar
UCD
Vicky is an ex-Software Enigneer at Dell EMC and currently Research Software Engineer II at CeaDAR. Vicky is joining the IDG group working initially on the Giyst project.
Alireza Dehghani
UCD
Alireza Dehghani
UCD
Alireza Dehghani, PhD is a skilled, research-oriented technologist and passionate entrepreneur with a Doctorate Degree in Computing from Dublin City University, He has continuously worked in different high-tech companies, including Movidius, Intel of Ireland, Geowox, and CeADAR over the last eight years. During this period of time, he has been involved in Artificial Intelligence, Computer Vision, and Data Science topics and projects. He worked at Azad University as a faculty member for about eight years. Alireza leads the Lighthouse Projects a CeADAR's Applied Research Group.
Sebastian Cajas
UCD
Sebastian Cajas
UCD
Sebastian Cajas is an enthusiast of AI in the aerospace and biomedical field with experience working as a computer vision and machine learning scientist. He holds a B.S. in Electronics and Telecommunications Engineer from the University of Cauca - Colombia and was an awarded scholarship recipient from the European Union Erasmus Mundus EMJM on Image processing and computer vision Joint Master; He is a fellow Computer Vision in the Visual Computing Group (VCG) of the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) under the supervision of Hanspeter Pfister and Siyu Huang, developing techniques on cancer cells discovery based on instance segmentation algorithms and unsupervised learning techniques; Previously, he has worked in as ML Intern and then as a Computer vision and Machine learning engineer in AI India Innovation center developing the project “Land Use Land Cover Classification using advanced ML and DL techniques for Larger Study Area” project. He completed his MsC thesis in the AI Center of Excellence in EcoVadis (Paris), where he created a logo detection and verification framework based on the current state-of-the-art Object detectors, attribution and verification based on Contrastive text-image training, transfer-learning using transformers and image processing approaches.
Areas of Expertise/interest
Image processing and Computer Vision, time-series, anomaly detection, machine learning & deep learning, and Data science.
Julia Palma
UCD
Julia Palma
UCD
Julia is the Programmes Manager of the Innovation Development Group at CeADAR. Julia has an academic background in health sciences and her professional background includes more than 15 years of experience in research, teaching, business development, consultancy and project/programme management for manufacturing and IT companies. In her previous role as Innovation Manager at the European Institute of Technology (EIT Health), she directly supervised over 200 project ideas and managed a pipeline of 17 collaborative innovation digital health projects (around 35M€). Julia has participated in the European Commission's DIH working groups within the "Digitising European Industry" initiative and chaired the Data i-Spaces subgroup of the Big Data Value Association (BDVA).
Miguel Aspis
Miguel Aspis
Miguel Aspis is an A.I developer at CeADAR with experience working on multiple projects from a number of different domains such education, e-commerce, finance and agrotech. His focus is on Transformers, NLP and large language models.
Areas of Interest
NLP, Deep Learning, Transformers, Machine Learning.
Sana Alamgeer
UCD
Sana Alamgeer
UCD
Sana Alamgeer received her PhD in Electronic and Automation Systems Engineering from the University of Brasília, Brazil, in July 2022. During her research, Sana developed deep learning-based visual quality metrics and bottom-up saliency models for multidimensional media (360-degree videos, 4D Light Fields, and 2D images/videos).
Interests include:
Visual attention and quality metrics, Light Field image processing, feature extraction, and deep learning.
Jaydeep Samanta
UCD
Jaydeep Samanta
UCD
Jaydeep Samanta is a Data Scientist at CeADAR. He holds a Bachelor's degree in Electronics and Communication from Gujarat Technological University, India. He recently graduated from the University of Limerick, Ireland with a Master's degree in Artificial Intelligence and Machine Learning. "Personal Protective Equipment Detection Using Deep Learning on Embedded Platforms” was the title of his MSc thesis. Previously, he worked as a Software Engineer at Nvidia where he contributed towards building tools and applications for Intelligent Video Analytics apps and services powered by Nvidia’s Jetson embedded platforms and GPUs. His area of interest is Deep Learning, Computer Vision, Applied Artificial Intelligence and Machine Learning, Data Engineering and Data Analytics.
Yilin Li
UCD
Yilin Li
UCD
Yilin is a data scientist at CeADAR, UCD. She completed a Master's degree in computer science from the University College Dublin in 2022 and an undergraduate degree in software engineering from China in 2016. Her interests are focused on machine Learning - deep learning, computer vision, and data analytics.
Omid Memarian Sorkhabi
UCD
Omid Memarian Sorkhabi
UCD
Omid Memarian Sorkahbi received a Ph.D. degree in surveying engineering from the University of Isfahan, in 2021. From September 2021 to September 2022, he was a postdoctoral researcher at the University of Isfahan. His research interests include remote sensing, deep learning, radar image, GNSS, and natural hazards.
Chan Le Van
Senior Data Scientist
Chan Le Van
Senior Data Scientist
Chan Le Van is a Senior Data Scientist at CeADAR. With a background that includes working at multiple industrial companies, Chan brings a wealth of experience to his role. Prior to joining CeADAR, he was a Software Development Engineer at Amazon Web Services (AWS), a Senior Full-stack Software Developer at Novartis Ireland, and an AI Software Developer at Accenture Ireland. Additionally, Chan has worked as a Research Assistant at Insight Centre for Data Analytics, NUI Galway. With a focus on full-stack application development, Chan has developed a wide range of hands-on skills, spanning from software engineering to artificial intelligence. In his free time, he enjoys gardening, reading books, and playing musical instruments.
Area of Expertise/Interests:
Software Engineering, Data Science, Machine Learning, Deep Learning, Big Data
Collaborators
Robert Ross
TUD
Robert Ross
TUD
Senior Lecturer and CeADAR PI, TU Dublin
Robert Ross is a Senior Lecturer in the School of Computer Science in the Technological University Dublin. Robert leads up the CeADAR team in TU Dublin. Robert has over 20 years of experience working in the field of artificial intelligence, having studied in UCD before moving to Germany to complete a PhD and work at the Spatial Cognition Research Centre in Bremen. Robert’s primary research interest is in Situated Intelligence including Robotics and Spoken Language Technology. Robert has a practical interest in all aspects of applied Machine Learning and has applied these technologies across domains ranging from Ag Science through the Automotive Industry.Areas of expertise/interest:
Deep Learning, Dialogue Systems, Robotics, Computer Vision.
David Lillis
UCD
David Lillis
UCD
Assistant Professor in the School of Computer Science, UCD
In addition to being a Principal Investigator of CeADAR, David is the Principal Investigator of the €3m TRANSPIRE project (an industry collaboration funded through the Department of Enterprise, Trade and Employment’s Disruptive Technologies Innovation Fund), an SFI Funded Investigator in the CONSUS project (a €17.6m industry-focused collaborate research partnership funded through the SFI Strategic Partnership Programme in the area of Digital Agriculture), and a Collaborator within the UCD Forensics and Security Research Group.
David originally graduated from the University of Limerick with a B.A. in Law and Accounting. Following this, he moved to UCD where he switched to Computer Science. There he earned a H.Dip., M.Sc. and Ph.D. prior to joining the academic staff. He has published peer-reviewed research papers in a variety of subject areas, including Natural Language Processing, Information Retrieval, Agent-Oriented Software Engineering, Component-Based Systems, Wireless Sensor Networks and Digital Forensics.
Mark Scanlon
UCD
Mark Scanlon
UCD
Assistant Professor and CeADAR PI, UCD
Dr Mark Scanlon is an Assistant Professor in the UCD School of Computer Science (UCD CS), Principal Investigator for Cybersecurity in CeADAR, Founding Director of the UCD Forensics and Security Research Group, and the Director of UCD CS’s Masters in Forensic Computing and Cybercrime Investigation. He is on the Management Committee for the EU COST Action CA17124 (Digital forensics: evidence analysis via intelligent systems and practices), and a Fulbright Scholar in Cybersecurity and Cybercrime Investigation. His research interests include Automated Evidence Processing, Evidence Whitelisting & Data Deduplication, Intelligent Systems for Cybersecurity, and Network Forensics and Analytics. To date, Dr Scanlon has published over 50 peer-reviewed international conference and journal publications and has been presented with three Best Paper Awards. Dr Scanlon is an extremely active member of the digital forensics and cybersecurity research communities and is a keynote speaker, associate editor, reviewer, and conference organiser across a range of key journals and conferences in these fields.Areas of expertise/interest:
Cybersecurity, Digital Forensics, Automation, Computer Vision, Network Analytics
Sarah Jane Delany
TU Dublin
Sarah Jane Delany
TU Dublin
Professor, TU Dublin
Sarah Jane Delany is a Professor at TU Dublin where she is responsible for postgraduate studies and research in the School of Computer Science. She is a co-founder of the Applied Intelligence Research Centre at TU Dublin and a co-PI of ML-Labs, the SFI Centre for Research Training in Machine Learning. She has over 15 years of experience in applications of machine learning, specifically in the areas of text analytics, information retrieval, concept drift and active learning. Prior to getting her PhD from DIT in 2006, she worked as a technology consultant for a number of years.Areas of expertise/interest:
Machine Learning, text analytics, active learning, concept drift.
Brett Becker
UCD
Brett Becker
UCD
Assistant Professor, UCD
Dr Brett Becker is an Assistant Professor at University College Dublin in the School of Computer Science. He is an expert in Computer Science Education and is also active in Parallel, High-Performance, and Heterogeneous Computing. He is currently serving as the head of the Steering Committee for the ACM CompEd conference, has won two best paper/presentation awards at ACM conferences, and is an Associate Editor for ACM Transactions on Computing Education. Brett holds leadership positions in several national and international education associations including being the current president of the All-Ireland Society for Higher Education, and a member of the International Consortium for Educational Development (ICED) council. Brett has established several industry/academic partnerships and has also served as the external expert for the Irish Department of Education and Skills teacher qualification subgroup for the Leaving Certificate Computer Science.Areas of expertise/interest:
Educational Data Analytics; Learning Analytics; Educational Data Mining; Parallel, High-Performance and Heterogeneous Computing; Computer Science Education Research
Vivek Nallur
UCD
Vivek Nallur
UCD
Assistant Professor in the School of Computer Science, UCD
Vivek did a first degree in Business Management (University of Delhi, India) before crossing over to Computer Science. He did his Masters in Software Engineering from Carnegie Mellon University (US) and has a PhD from the University of Birmingham (UK). He has worked in the field of fraud detection and data mining for the Customs & Excise Deptt, Govt of India. He has also worked in quality assurance of APIs with VMware Inc. (Palo Alto, US) before turning to academia. His research interests lie in the areas of emergence detection, anomaly detection, nature-inspired optimization, predictive analytics and cognitive computing. Ever an advocate of applied research, he has worked on optimization of supply-chain management with SMEs in the US, as a part of his post-doctoral work.
Abdollah Malekjafarian
UCD
Abdollah Malekjafarian
UCD
Assistant Professor in the school of Civil Engineering at UCD.
Dr Abdollah Malekjafarian obtained his PhD in Civil Engineering at UCD in 2016 which was focused on “Drive-by bridge health monitoring using the response measured on a passing vehicle”, winning the “KB Broberg” medal for “Best UCD PhD Thesis in Mechanics- 2016”. Other awards include the Royal Irish Academy Charlemount award in 2018 for his collaboration with University of Alberta. He was awarded a SFI-Industry Fellowship in 2018 which allowed him to spend one year at Gavin & Doherty Geosolutions (GDG) Ltd. working on “Dynamic soil-structure interaction modelling for the optimisation of offshore wind turbines”. Main areas of research interest are Structural Dynamics and Random Vibrations for Civil Infrastructure including “Transport Infrastructure” and “Offshore Wind Turbines”.
Bojan Božić
TU Dublin
Bojan Božić
TU Dublin
Wael Rashwan
TU Dublin
Wael Rashwan
TU Dublin
Lecturer, TU Dublin
Wael Rashwan is a Data Scientist at CeADAR- Centre for Applied Data Analytics and Machine Intelligence- Dublin, Ireland. He holds a PhD in Operations Research and Optimisation from Technological University Dublin, Ireland and MSc in Optimisation from Cairo University. Wael has several years of industrial experience with one year in BELCO (Supply chain) and more than five years in MCE (Insurance). He led several projects in different industries agriculture, insurance and healthcare in Egypt and Ireland. Also, Wael has long experience in teaching international undergraduate and postgraduate students at Cairo University and TU Dublin. Wael is an active researcher in developing solutions and theories to support and address decision making in uncertain and complex environments. His particular research interests include Machine Learning, Prescriptive Analytics, Simulation, Optimisation, and Healthcare Innovation and Smart Hospitals. Currently, he is leading the healthcare innovation in CeADAR, passionate about using Machine Learning & Optimisation Technologies for solving problems in healthcare and Business domains. Wael has several papers published in top-tier Journals and conferences in different fields: Innovative Healthcare, Machine Learning, Simulation and Optimisation, Decision-making. In 2016, Wael received the Best Citizen Award for Innovating smart hospitals by IBM.
Gavin McArdle
UCD
Gavin McArdle
UCD
Assistant Professor, UCD
Dr Gavin McArdle is an Assistant Professor in the UCD School of Computer Science. Previously Gavin was a Research Fellow at the National Centre for Geocomputation (NCG) in Maynooth University and a Science Foundation Ireland funded Research Fellow at IBM Research. His research focus includes location-based services, user profiling, geovisual analysis, smart transport, smart city technology and urban dynamics. Gavin has an extensive publication record including edited books, book chapters, articles and research papers. He has been a keynote speaker at several international conferences and institutes and has received several grants from National and European Funding agencies to support collaboration with researchers in academia and industry.Areas of expertise/interest:
Spatial Data Analysis, Urban Dynamics, Smart Cities, Human Mobility, Geovisual Anaysis, Urban Dashboards, Location Based Services, Spatial Recommnder Systems
Patricia O Byrne
TU Dublin
Patricia O Byrne
TU Dublin
Senior Lecturer and Agri-analytics specialist, TU Dublin
Patricia O’Byrne is a senior lecturer in the School of Computing in TU Dublin, having previously worked on automated process control systems and administration systems for a transport company. She holds a B.Sc. from University College Dublin and an M.Sc. in IT for Strategic Management from the University of Staffordshire. She is currently working on novel ways to use fusion sensors to estimate biomass in pastureland.Areas of expertise/interest:
Deep Learning, Agri-analytics.
James Sweeney
UCD
James Sweeney
UCD
Assistant Professor in the School of Business, UCD
James Sweeney is an Assistant Professor in the Discipline of MIS, within the Quinn School of Business at University College Dublin (UCD). James graduated from UCD with a BSc in Mathematical Sciences in 2007. He obtained a Ph.D. in Statistics from Trinity College Dublin in 2012, with research focused primarily on computational statistics. He completed a postdoctoral position in University College Cork, where he worked in the area of medical imaging, before joining UCD as an academic member of staff. James’s interests are in applied statistical modelling, with a wealth of consulting experience in that area. He has worked on projects for Colossus Betting, Styker Engineering (on behalf of Think Evolve Solve), iNavatas, and Brandyfloss Marketing amongst others. In each case the focus of the work was on the development and implementation of in-house statistical models operating in real-time. He has also supervised a number of projects with companies such as Paddy Power, Western Union, Zurich Insurance, The Revenue Commissioners and e-Health Ireland, and is involved in the commercialisation of a geospatial customer segementation product with Zurich Insurance. His primary area of expertise is in Bayesian statistical modelling, with applications in spatial statistics, model based clustering, and data mining. His project experience has included applications in gambling, fraud detection, spatial modelling and models for customer behaviour.
Shen Wang
UCD
Shen Wang
UCD
Assistant Professor, School of Computer Science, UCD
Shen previously worked as the lead researcher for CeADAR on the AURORA EU H2020 project (big streaming data framework calculating flight efficiency) and the EXPERTS demonstrator project (explanable graph data analytics). Shen’s Ph.D. work is on reducing urban road traffic using vehicular communications and artificial intelligence. He also worked with the team of Intelligent Transportation at IBM Ireland in 2013, and Natural Resources Solutions group at IBM Research Brazil in 2015. His research interests include intelligent transportation systems, big streaming data, trajectory data mining, and network analysis. His is now an academic collaborator with the CeADAR Centre.
Anca Delia Jurcut
UCD
Anca Delia Jurcut
UCD
Assistant Professor, UCD
Dr. Anca Jurcut is an Assistant Professor in the UCD School of Computer Science since 2015. She received a BSc in Computer Science and Mathematics from West University of Timisoara, Romania in 2007 and a PhD in Security Engineering from University of Limerick (UL) in 2013 funded by the Irish Research Council for Science Engineering and Technology (IRCSET). She worked as a postdoctoral researcher at UL as a member of the Data Communication Security Laboratory and as a Software Engineer in IBM in Dublin in the area of data security and formal verification. She has recently acted as an evaluator of H2020 proposals for the Cryptography and Cybersecurity call. Dr. Jurcut research interests include Security Protocols Design and Analysis, Mathematical Modelling, Automated Techniques for Formal Verification, Cryptography, Computer Algorithms, Security for Internet of Things and Blockchain Security. Much of her work has focused on formal verification techniques for security protocols using deductive reasoning methods (modal logics and theorem proving); automation of logics for formal verification; the development of new logic-based techniques and tools for formal verification; the design and analysis of security protocols; formalisation and modelling of design requirements for security protocols.
Simon Caton
UCD
Simon Caton
UCD
Assistant Professor in the School of Computer Science, UCD
Dr. Caton is an Assistant Professor of Computer Science at University College Dublin (UCD). Before joining UCD he was a lecturer of data analytics at the National College of Ireland (NCI) from 2014 to 2019. Before joining NCI he was a senior researcher at the Karlsruhe Service Research Institute and the Head of Corporate and Cloud Services Research Division at the Institute for Information Systems and Management at both at Karlsruhe Institute of Technology (KIT) from 2009 to 2014. Prior to that he was a research associate with the School of Computer Science and Informatics at Cardiff University from 2008 to 2009 earning his PhD in Computer Science in 2010. His research interests sit at the intersection of parallel and distributed computing and data analytics with applications in computational social science, fintech, and medical imaging.Areas of expertise/interest:
social / collaborative cloud computing, social media analysis, parallel / scalable machine learning, bias mitigation, text analytics and natural language processing
Deepu John
UCD
Deepu John
UCD
Dr. Deepu John, Assistant Professor, UCD
Deepu John received PhD degree in electrical engineering from National University Singapore, Singapore in 2014. He is a recipient of Institution of Engineers Singapore Prestigious Engineering Achievement Award (2011), Best design award at Asian Solid State Circuit Conference (2013), IEEE Young Professionals, Region 10 individual award (2013). He served as a member of technical program committee for IEEE conferences ASICON 2019, TENCON 2016. He is a reviewer of several IEEE journals and conferences and serves as an Associate Editor for IEEE Transactions on Biomedical Circuits and Systems.Areas of Expertise:
His research interests include biomedical devices, energy efficient circuits & signal processing, low power AI for IoT devices etc. He is a senior member of the IEEE.
Deepak Ajwani
UCD
Deepak Ajwani
UCD
Dr. Deepak Ajwani, Assistant Professor in the School of Computer Science, UCD
His research interests lie at the confluence of algorithms and data-structures (with a focus on scalable graph algorithms), algorithm engineering, semantic analysis, combinatorial optimization and machine learning. Dr. Ajwani has worked as a research scientist at Nokia Bell Labs from 2012-2018. As part of his work at Nokia Bell Labs, he co-lead the design and development of a cognitive computing tool for interpreting, organizing and navigating unstructured content. He addressed critical problems in the area, including (i) disambiguation of natural language text, (ii) automated topic labelling of a document, (iii) automatically extending knowledge hierarchies, (iv) automatically cleaning knowledge hierarchies and (v) comparing knowledge hierarchies. He received his Ph.D. from Max Planck Institute for Informatics in 2008, for his work on I/O-efficient graph traversal algorithms. Thereafter, he worked as a Postdoctoral Researcher at MADALGO – Centre for Massive Data Algorithms, where he developed shared memory multicore algorithms for discrete optimization problems. In 2010, he was awarded a grant of around 75,000 Euro from the Irish Research Council for Science, Engineering and Technology (IRCSET) and IBM Research for a project on designing graph partitioning and repartitioning techniques in the context of Exascale stream computing systems. As part of this Postdoctoral work carried out at University College Cork, he proposed a methodology to co-optimize the inter-related hard problems of interconnect topology configuration, graph partitioning and routing, that provided fairly good solutions in very little time.
M. Atif Quereshi
TU Dublin
M. Atif Quereshi
TU Dublin
Lecturer/Assistant Professor at Technological University Dublin
Dr. Muhammad Atif Qureshi is a lecturer based in TU Dublin. He has authored more than 40 research publications and his areas of interests are Text Mining, Information Retrieval, Knowledge Graphs, Text Analytics, Business Analytics, Machine Learning, Explainable AI, Predictive Maintenance and Social Network Analysis.
Bianca Schoen Phelan
TU Dublin
Bianca Schoen Phelan
TU Dublin
Senior Data Scientist, TU Dublin
Dr. Bianca Schoen-Phelan is a lecturer and researcher in the School of Computer Science at TU Dublin City Campus. Bianca holds a B.Sc. in Computer Science from the University of Applied Sciences, Darmstadt Germany, and a Ph.D. in Computer Science from University College Dublin. Bianca has previous industry experience as well as strong research experience on commercially focused research projects. Bianca’s research interests are primarily in the areas of geospatial data, which includes airborne LiDAR data, satellite data and crowd-sourced data that contains geospatial components, as well as VR simulations of such. Furthermore, current research projects investigate machine learning and deep learning techniques on such data with a special focus on natural disaster analysis and management.
Santos Fernandez Noguerol
TU Dublin
Santos Fernandez Noguerol
TU Dublin
Assistant Lecturer, TU Dublin
Santos Fernández Noguerol is an Assistant Lecturer in Geomatics at the Technological University Dublin. He joined CeADAR as a Marie Curie Post-Doc Research Fellow in the School of Computer Science in TU Dublin. Previously, he completed a research stay at the National Centre for Scientific Research of France (CNRS). He obtained a PhD in Spatial Analysis, Cartography and Land Planning, and holds an BSc (Hons) in Geography from University of Oviedo, Spain. His PhD Thesis was awarded by ESRI as the best GIS research of 2015, and it is catalogued in the Library of Congress and the British Library. In addition, he has been funded by Microsoft and Amazon Web Services.Areas of expertise/interest:
Geographic Information Systems, spatial analysis, mapping, cloud computing.
Luis Miralles
TU Dublin
Luis Miralles
TU Dublin
Assistant Lecturer in the School of Computer Science, TU Dublin
Luis is currently an Assistant Lecturer at TU Dublin. He has a PhD in 2012 on creating new approaches within the Online Advertising world at the University of Murcia (Spain). He did postdoc levels I and II in CeADAR, UCD working on a project about predictive maintenance predicting oil and gas valves failures in the subsea for Wood Group Kenny. After that, he was involved in other projects related to reinforcement learning and explainability in natural language processing.
He has a good number of publications on topics related to how to apply ML to online advertising and Human Activity Recognition. He has also published on predictive maintenance applied to valve failure prediction. He has researched how to apply Reinforcement Learning to fight the COVID-19 pandemic and plan the containing levels considering both public health and the economy.
Areas of expertise/interest:
Machine Learning, Reinforcement Learning, Online advertising, Human activity recognition, Feature selection, Lecturing.
Dr Luca Longo
TUD
Dr Luca Longo
TUD
Dr Luca Longo, TUD
Artificial Intelligence & Cognitive Load Research Lab (AICL-lab) MSc dissertation coordinator School of Computer Science College of Sciences & Health Technological University Dublin (TU Dublin City Campus) www.lucalongo.eu TEDx (DIT) | TEDx (Vicenza) | TEDx (Innopolis)Affiliations
- Applied Intelligence Research Centre (AIRC)
- EI National Centre for Applied AI & Data Analytics Research (CeADAR)
- SFI Centre for Research Training in Machine Learning (ML-Labs)
- SFI Centre for Digitally Enhanced Reality (D-REAL)
- Applied Social Computing Research Group and Network (ASCNET)
- SFI global centre of excellence for digital content, media innovation (ADAPT)
Journals
(participating journals FRONTIERS in Human Neuroscience, Neuroergonomics, Psychology, Education, Computer Science, Neuroinformatics, Computational neuroscience)
- Issue Advances in Explainable Artificial Intelligence (MDPI Machine Learning & Knowledge Extraction Journal)
- Research Methods (FRONTIERS in Research Metrics & Analytics journal)
- Real-World Applications of Neurophysiological Monitoring for Passive Brain-Computer Interfaces (FRONTIERS in Human Neuroscience Journal)
- Special Non-invasive neuroergonomic approaches for understanding user & teams in everyday contexts (FRONTIERS in Neuroergonomics Journal)
Commercialisation Project Teams
Richard Cooke
UCD – La Casa Project
Richard Cooke
UCD – La Casa Project
An engineering graduate from UCD, he has over 30 years’ experience in senior leadership roles in ICT, medtech and telecoms. Richard has worked in the telecommunications industry since 1990, became MD of Ireland’s first internet provider, EUnet in 1997 and ultimately, CEO of Esat Group (now BT Ireland) in 2000.
Since 2002, he has been CEO with number of ICT and medtech ventures from company start-up, through to sale and exit. Since 2014 he has been active as a Management Consultant & investor.
Avril Power
UCD – Giyst Project
Avril Power
UCD – Giyst Project
A masters graduate of The Michael Smurfit Business School, UCD, Avril has over 17 years experience specialising in marketing, brand development and growth across a range of multinational companies and start-ups. A creative and results-oriented leader who is passionate about using data-led insights to successfully launch new products and enter new markets.
Alan Power
UCD – FeetAI Project
Alan Power
UCD – FeetAI Project
Graduate in electronic engineering, with masters in both mobile development and business in ecommerce from UCD. Alan has over 20 year’s experience working in product development, service and consulting at a senior level in the eLearning and mobile tech markets, with significant experience in start-up and high-growth environments.
Yogeesha Yogeesha
UCD – FeetAI Project
Yogeesha Yogeesha
UCD – FeetAI Project
Yogeesha, Software Developer, CeADAR UCD
Yogeesha is a Software Developer at CeADAR and holds more than 6 years experience in Software Development. He holds a Bachelor’s Degree in Computer Science and Engineering from NMAMIT Nitte,India. Prior to this Position he has worked at Teslon Technologies Pvt Ltd, a Healthcare IOT company where he applied various software technologies to build telemedicine platform, tele ICU solutions, remote patient monitoring IOT solutions. He has worked on projects that involved multiple domain expertise including Medical and Healthcare. He has also worked at Infosys Technologies Pvt Ltd as Systems Engineer.Areas of Expertise :
Full Stack Software development.Interests:
Machine Learning, Deep learning, Real time Data analysis, Data VisualizationProfessional Staff
Erin Finnerty
Centre Operations Manager
Erin Finnerty
Centre Operations Manager
Erin is an experienced operations, programme, events and project manager. She has worked for companies in public, private and non-profit sectors. More recently Erin has specialised in post award project management and administation working on H2020, EI, SFI, HRB and FP7 projects.
Méabh Garrick
Europe Funding Manager UCD
Méabh Garrick
Europe Funding Manager UCD
Méabh Garrick is the Europe Funding Manager at CeADAR. She obtained an M.Sc. in Photonics from the Friedrich-Schiller Universität in Jena, Germany. As a student and subsequent graduate researcher at the Fraunhofer-Institut für Angewandte Optik und Feinmechanik, she specialised in the area of laser-induced damage to optical materials and angle resolved scattering (ARS) from surfaces. Prior to joining CeADAR, she worked as an optical engineer and technical lead on a number of large European H2020 projects with topics including: inline NIR spectroscopy and thin film measurement. She is an experienced and well-rounded scientific researcher and project coordinator with a broad knowledge of both academic and commercial worlds and their respective challenges.
Sara Stevenson
Business Development Manager (Part-time)
Sara Stevenson
Business Development Manager (Part-time)
Sara is an experienced management consultant having worked in the UK and Ireland across a number of industries including the public sector, banking & insurance, utilities and the health service. Most recently Sara lead the programme that saw the establishment of the Leadership Academy in the HSE. Sara joins CeADAR to oversee the Work Ready Graduate Programme.
Tricia Logan
Research Accounts (part-time)
Tricia Logan
Research Accounts (part-time)
Tricia joins CeADAR as an experienced accounts assistant.
She has gained valuable experience in various sectors including insurance, aviation, pharmaceutical & med tech. She holds a BA Degree (Economics) from UCD and is a member of Accounting Technicians Ireland and Irish Tax Institute.
Nathalie Norton
UCD
Nathalie Norton
UCD
Nathalie has over 20 years’ experience in Marketing and Communications and has worked in both the UK and Ireland across a number of industries including Entertainment, Automotive and Retail.
Most recently Nathalie worked with an Aeronautical Software company delivering Communications as part of a European Horizon 2020 project.
Nathalie graduated from the University of Glasgow and went on to complete the DIT & Enterprise Ireland International Selling Post Graduate Diploma in 2018.
SMALL ENTERPRISE
CeADAR is a market-focused technology centre that drives the accelerated research, and deployment of AI and data analytics technology and innovation into businesses.
Cornmarket
We found our relationship with CeADAR to be highly productive in a number of ways. From direction on how to embed a data culture across the organisation, to meeting a range of other organisaitons and learning from their journeys, as well as assessing our own level of data maturity, this relationship is proving invaluable.
CPL
We are delighted to be working with CeADAR on the work ready graduate programme. Our graduate has already brought academic expertise, tools and approaches that we were not using before to help us drive our data and AI agenda, and we’re only a couple of months in.
Coalface
Coalface has collaborated with CeADAR on several occasions and chose CeADAR again for our latest project due to their technical expertise.
SSE Airtricity
this collaboration with CeADAR helped ‘‘take another big step towards meeting our goal of Net-Zero by 2050 and will also have added benefits for the entire energy chain, including customers.
