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).
Prof. Pádraig Cunningham
He has previously worked with the Principal Investigators Barry O’Sullivan (theme two) from UCC and Brian Mac Namee (theme one) from DIT. Padraig has successfully sourced €6.5M in grant income over the last 10 years including Clique, a Science Foundation Ireland (SFI) strategic research cluster on Network Data Analytics.
Pádraig is Professor of Knowledge and Data Engineering in the School of Computer Science and Informatics in University College Dublin. He has over 15 years’ experience in applications of Machine Learning and Data Mining. He also has experience in network data analysis, supervised machine learning, feature selection and clustering. He has worked on the identification of anomalous patterns in very large volumes of data, initially in email spam detection and more recently in financial fraud detection.
Dr. Brett Becker
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
Dr. Vivek Nallur
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.
Dr. Sarah Jane Delany
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.
Dr. John Kelleher
Lecturer in the DIT School of Computing and a founding member of AIRC, TUD
In 1997, Dr. John D Kelleher graduated from the School of Computing in Dublin City University (DCU) with a B.Sc. in Computer Science. After graduating, he worked in DCU as a lecturer and started a Ph.D. He was awarded his Ph.D in 2003. In October of that year he joined the Common Sense research group at Media Lab Europe as a postdoctoral researcher. In 2004 he moved to DFKI at Saarbruecken in Germany to work as a senior researcher on the COSY project. In September 2005 he moved back to Dublin to take up a post as a lecturer in TUD’s School of Computing.
Dr. Robert Ross
Senior Lecturer and CeADAR PI, TUD
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.
Dr. Sean Russell
Assistant Professor, UCD
Dr Seán Russell is an Assistant Professor in the School of Computer Science at University College Dublin. Dr Russell received his primary degree in computer science from University College Dublin (UCD), Ireland. He then started his PhD in the Clarity research centre, as part of the school of Computer Science at University College Dublin. The focus of his PhD was intelligent transportation systems, machine learning and agent-oriented programming languages and was completed in 2014. Dr Russell then began working as an Assistant Professor in the School of Computer Science at University College Dublin. His research interests include intelligent transportation systems, wireless sensor networks, agent-oriented programming languages and computer science education.
Areas of expertise/interest: Agent-oriented programming languages, Multi-agent systems, machine learning, wireless sensor networks, intelligent transportation systems, routing optimisation.
Dr. Susan McKeever
Senior Lecturer and CeADAR PI, TUD
Susan McKeever is a senior lecturer in the School of Computer Science at the Technological University Dublin City Campus. She is a principal investigator with CeADAR, working with companies to deliver innovative data analytics solutions. Susan’s research areas cover a range of technique and application domains with artificial intelligence including machine learning, text analytics, video analytics, autonomous systems, sensor-driven system interpretation. Prior to completing her PhD in Artificial Intelligence at University Collge Dublin, Susan worked for 10 years in the IT consultancy sector, including Accenture, and a variety of client in the financial and retail sectors.
Areas of expertise/interest: Machine learning, deep learning, video analytics, text analytics, audio analysis, sensor driven system, evidence theory
Dr. Catherine Mooney
Catherine obtained her PhD from University College Dublin (2009), in the field of protein structure prediction using bidirectional recurrent neural networks. Subsequently she held postdoctoral research positions in UCD School of Medicine and Medical Science, DIT School of Physics and the Department of Physiology and Medical Physics in the Royal College of Surgeons in Ireland. Her research interests lie in the areas of bioinformatics, computational biology and medical data science.
Dr. David Lillis
David Lillis is an Assistant Professor in the School of Computer Science at University College Dublin (UCD). He is affiliated to the Beijing-Dublin International College: a joint undertaking with Beijing University of Technology (BJUT) and has previously lectured in Fudan University, Shanghai.
David 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 data fusion for information retrieval, agent oriented software engineering, component-based systems, wireless sensor networks and digital forensics. A keen advocate of the practical application of research, he coordinated UCD’s entries to the NIST-sponsored Text REtrieval Conference (TREC) for a number of years. He now participates in collaboration with researchers from BJUT’s College of Computer Science.
Dr. Mark Scanlon
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
Dr. Lina Xu
Dr. Lina Xu is an Assistant Professor in the School of Computer Science at University College Dublin (UCD). Lina Xu received her science degree from Computer Science in University College Dublin (UCD), Ireland. Then she started her PhD in Clarity Research Centre, Computer Science in UCD and received her doctoral degree in 2014. After graduation, firstly she worked as a research assistant in AUTHENTIC, which was a joint Smart Home project between UCD and Enterprise Ireland. Then she worked in HP Networking and Mobility Lab as a research scientist from the end of 2014 till 2016. Now she is a lecturer/assistant professor in Computer Science UCD. Her research interests include Internet of Things (IoT), network optimization, 5G network, smart networking, etc. Currently She is working on a smart transportation project to provide information and predictive analysis for road users and city plan department.
Dr. Gavin McArdle
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
Dr. 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
Dr. Bojan Bozic
Research Fellow, TUD
Dr. Bojan Božić is a researcher in computer science at Technological University Dublin and has worked on Semantic Web, Machine Learning, and Data Science technologies for 6 years. He was a software engineer in Speech Recognition at Philips Speech Recognition Systems, a Scientist at the Austrian Institute of Technology and a Lecturer at the University of Applied Sciences Burgenland and University of Vienna. At AIT’s Safety and Security department, he worked in leading roles in European research projects such as SANY (Sensor Web Enablement), TaToo (Tagging Tools for Semantic Discovery), Europeana Creative (Cultural Inheritage), PELAGIOS (Linked Data), and C2-SENSE (Sensor Web and Interoperability).
At Trinity College he worked on the ALIGNED project, modelling data and software engineering processes through ontologies and annotations for the Dacura platform. He joined CeADAR at TUD to commence research in Data Science and approach innovation and collaboration opportunities in new projects
CJ is currently studying computer science at the University of Alaska Anchorage, and is going into his Junior (third) year. He is very interested to learn about data analytics at CeADAR, and he knows he will be learning a lot. He also has an interest in the video game industry and software engineering.
Senior Postdoctoral Researcher, TUD
Hector Franco is a Researcher in the School of Computing at TU Dublin. Hector obtained his PhD in Natural Language Processing (Semantic Role Labelling) from Trinity College Dublin. He studied Computer Science at the University of Valencia (Spain). Prior to working in CeADAR, he worked as a data scientist at VHI health care building predictive models.
Areas of expertise/interest: Deep learning, text analysis, image analysis, algorithms, active learning and entrepreneurship.
Renaud Fontana is a software engineer in CeADAR UCD with a versatile skill set in analytics, machine learning and visualisation. He joined CeADAR after a venture in analytics consultancy. Renaud previously worked in research groups in Intel and UCD on cloud technologies, graph analytics, real time analytics and visualisation. His interests are in the use of machine learning and artificial intelligence in the video game industry.
Dr. David Haughton
Data Science Architect, UCD
Dr David Haughton is a Data Science Architect at CeADAR. He specialises in applying data analytics to solve problems in industry, having worked extensively on translational research and development projects in CeADAR. Prior to joining CeADAR, David completed a Computer Science PhD at UCD in the areas of digital signal processing, bioinformatics and steganography. After this, he worked as a Full Stack Developer for a media monitoring company called Kantar Media. There he helped maintain and develop new features for several web platforms. In CeADAR, David is involved in project scoping, planning and management. He also actively develops data analytics and software solutions.
Areas of expertise/interest: blockchain, deep learning and software development
As a fourth-year Computer Science student at Brown University, Sam has joined CeADAR as an intern to gain valuable hands-on experience and skills in Machine learning and Big Data analytics. He previously participated in several data analytics competitions at Kaggle and was able to reach the top 6 percent in the leaderboard. He is a deliberative learner willing to have CeADAR as the perfect medium to immerse himself in variety of data from different areas.
Quan is a postdoctoral researcher 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 Thibaut Lust
Thibaut Lust is a Senior Postdoctoral Researcher at CeADAR in Dublin Institute of Technology (DIT). Thibaut holds a MSc in Computer Science from the Polytechnic Faculty of Mons (Belgium) and a PhD in the field of Operational Research from the University of Mons. He was previously Assistant Professor in Computer Science at University Pierre and Marie Curie in Paris and Postdoctoral Researcher at Catholic University of Louvain (Belgium) and University of Lyon (France). His main research interests are in the field of multicriteria decision making, algorithmic decision theory and combinatorial optimization problems. He has 25+ peer reviewed publications in journals and conferences.
Dr. 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.
Dr Gerard Lynch
Dr. Gerard Lynch is a postdoctoral researcher based at CeADAR in University College Dublin. He received his PhD in 2013 from Trinity College Dublin where he worked on text analytics applied to textual data in the humanities in conjunction with the CNGL research cluster. He has extensive expertise in natural language processing and text analytics and within CeADAR has expanded his skill-set to encompass network analytics and visualisation, working on projects related to sentiment analysis and people search on Twitter. He previously worked at the Irish Times newspaper, training and deploying a commercial system for named entity recognition of Irish named entities and the University of Bologna at Forli, where he developed a web-based system for translation alignment in concert with the School of Translation and Cultural Studies.
Dr Tamara Matthews
Senior Postodoctoral Researcher, TUD
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.
Dr Eoghan O'Shea
Dr. Eoghan O’Shea graduated from UCD in 1994 with a BSc in Experimental Physics. He then began a PhD in Solar Physics at Armagh Observatory/Queen’s University Belfast, which was completed in November 1997. As a researcher, he has worked at a number of different research institutes in Europe: Queen’s University Belfast (1998-2000), The European Space and Technology Centre (ESTEC) in The Netherlands (2000-2002), the Institute of Astrophysics of the Canary Islands (IAC)(2002-2004) and Armagh Observatory (2004-2009). He has published 38 refereed journal articles in international research journals (Astronomy & Astrophysics, Solar Physics journal, A&A Letters, etc). In 2009, he returned to full-time education to complete a Masters in Engineering (Electronic Systems) in DCU (November 2010). From 2010-2011, he was employed in ESB Independent Energy (later Electric Ireland) as a Pricing and Strategy Analyst. He started work in DIT, in the Applied Intelligence Research Centre, in February 2013 as a Senior Research Fellow in the CeADAR research group
Fei received his BEng in Communication Engineering from Beihang University in 2007 and MSc in Computing from Dublin Institute of Technology in 2014. He also had more than six years’ industry work experience in ICT. His research mainly focuses on data analytics and machine learning, especially unsupervised learning. Fei is currently working on the CeADAR Innovation Partnership Project SmartSeg 2.
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.
Dr. Jing Su
Jing’s PhD research focussed on automated segmentation and analysis of speech using classification methods over acoustic features. He also holds MSc’s in both applied statistics and artificial intelligence, along with commercial research experience working with the National Digital Research Centre (NDRC) in Ireland and Eli Lilly and Company in Belgium. Jing brings to CeADAR specialist skills including advanced statistics, artificial intelligence and machine learning. His recent work in CeADAR is TopicListener project, which observes key topics from multi-channel audio streams and is in trials with CeADAR partners.
Dr. Caroline Maillet
Dr. Caroline Maillet is a postdoctoral researcher based at CeADAR in Dublin Institute of Technology (DIT). Caroline obtained her PhD from ISAE (Institut Supérieur de l’Aéronautique et de l’Espace, Toulouse, France) in the field of artificial intelligence. She worked as a research engineer for Airbus Defence and Space (Toulouse, France) and as a lead data scientist for Finiti Research (Dublin, Ireland). Her research interests are in the field of operational research, constrained optimisation, machine learning and data visualisation.
Dr. Kristina Luus
Dr. Kristina Luus is a postdoctoral researcher with CeADAR at DIT. She received her MSc (2009) and PhD (2013) from the University of Waterloo in Canada, and completed two years of postdoctoral research at the Max Planck Institute for Biogeochemistry in Germany.
Kristina’s current research involves generating satellite-data-driven estimates of the rate at which methane and carbon dioxide are exchanged between the atmosphere, and northern soils/vegetation. She is eager to collaborate within CeADAR, and is especially keen on assisting with projects involving spatial data.
Dr. John McAuley
Postdoctoral Researcher, TUD
Dr. John McAuley received his PhD in Visual Analytics from Trinity College in 2014. Prior to his PhD, he worked as contract software developer and researcher, received a MPhil from TUD and founded a video social media startup called 45Sound (today Fan Footage). Since completing his PhD he has worked as the lead data scientist at Boxever, a venture backed personalisation start up, and supported the Real World Evidence team as a data scientist at Novartis. Currently, he works as a lecturer in visual analytics at Technological University Dublin. He is interested in researching and developing novel visual interfaces that enable business users to explore large and evolving datasets.
Dr. Patrick Jackman
Agricultural & Medical Applications specialist, TUD
Patrick Jackman specialises in applying the state of the art in machine learning to real-world agricultural and medical domains.
Patrick has published a total of 25 publications (16 in high impact peer-reviewed journals, 2 book chapters and 7 conference papers) of which 23 were as first author and 6 were without his PhD supervisor.
Areas of expertise/interest: Application of machine learning to current and difficult challenges.
Data Scientist, UCD
Aditya is a Data Scientist at CeADAR and is currently working on solving a variant of the traveling salesman problem using constraint programming and optimization techniques. He previously worked on the AURORA European Union Horizon 2020 project using Big Data streaming technologies that will 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. His summer internship was with CeADAR, where he worked on a Deep Learning project involving Tensorflow, Google’s cutting-edge deep learning framework. He also holds a Bachelor’s degree in Computer Science Engineering from Vellore Institute of Technology, India. He worked with Accenture for 1.5 years, predominantly as a database administrator for Cassandra, a database management system used to store and manipulate Big Data.
Areas of expertise/interest: Machine Learning, Combinatorial Optimization, Aviation, Logistics, Big Data Streaming
Postdoctoral Researcher, UCD
Luis Miralles is currently working as a full-time researcher in a data analytics project for CeADAR about Reinforcement Learning. He is a Computer Engineer with a PhD in Machine Learning applied to online advertising and a Postdoc in Data Science applied to the Oil and Gas industries. Luis Miralles worked as a full-time Professor/Researcher at the Faculty of Engineering at Universidad Panamericana in Mexico City for four years. The subjects he taught were “Object-Oriented Programming” and “Analysis and Design of Algorithms”, both in C Sharp. He has also teaching experience in other universities such as University of Santo Toribio de Mogrovejo (Peru) or Dublin Institute of Technology (Ireland). He has worked on issues related to machine learning and data science since 2013 and has published extensively on these topics. Finally, at the beginnings of his professional career, he was responsible for the technological part of Project Digitum (digitum.um.es)—a Java-based digital repository for the management of research documents of the University of Murcia (Spain).
Areas of expertise/interest: Machine Learning, Reinforcement Learning, Online advertising, Human activity recognition, Feature selection, Lecturing.
Muhammad Atif Qureshi
Senior Postdoc, UCD
Dr. Muhammad Atif Qureshi is a senior postdoctoral researcher based in CeADAR, UCD. He has authored more than 40 research publications and his areas of interests are Text Mining, Information Retrieval, Machine Learning, Knowledge Graphs.
Before joining CeADAR, he was a postdoctoral researcher based at Insight Centre for Data Analytics, UCD (Dec. 2015 – July 2017). He holds double Ph.D. from NUIG, Ireland and UNIMIB, Italy and an MS degree from KAIST, South Korea.
Postodoctoral Researcher, TUD
Mohammed Mesabbah is a senior Researcher in the School of Computing at Technological University Dublin (TUD). Mohammed obtained his PhD in developing smart planning and decision support tools for complex systems from TUD and pursued research in system modelling, data mining, machine learning and statistical analysis. He also holds a masters’ degree in system dynamics from the University of Bergen (UiB) and a bachelor degree from Faculty of Computers and Information in Cairo University. Prior to his PhD, he worked as a researcher in data mining and model developing for oil and gas industry.
Areas of expertise/interest: Big Data Analytics, Simulation and Modelling, Machine Learning and Optimisation Algorithms.
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.
Claudia Mazo Vargas
Marie Skłodowska-Curie Postdoctoral Fellow, UCD
Claudia Mazo is a Marie Skłodowska-Curie Postdoctoral Fellow at CeADAR – University College Dublin and Oncomark. She studied System Engineer (Computer Science) at the University of Valle and she has a double degree PhD in Engineering with Emphasis in Computer Science at the University of Valle and PhD in Production Engineering and Computing at the University of León. Claudia received three mentions for the doctoral thesis: International and Cum Laude Mentions and Meritoria mention offered by the University of Leon and Meritoria mention by the University of Valle. Her research mainly focuses on developing a clinical decision support system which stratifies breast cancer patients into risk categories of distant relapse following surgery and endocrine therapy, applying machine learning techniques and using particular characteristics of the individual patient.
Areas of expertise/interest: Machine Learning, Image Processing, Pattern Recognition, Data Analysis, Computer Vision, Personalized Medicine
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 TUD. 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.
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.
Ciarán is a PRINCE2 qualified project manager with over 20 years experience in consulting, software development and project management. He has held various technical and senior management roles in software development start-up’s and joint ventures. He has extensive experience of software project management and product management in diverse industries such as life assurance and broadcasting.
He is a graduate of TUD and UCD’s Smurfit Business School where he obtained a first in NITM’s Masters in Technology Management.
Data Scientist, UCD
Lauren has a masters degree in Astrophysics from the University of Cape Town where she modelled the interaction of light and dark matter in the cosmic web. Prior to becoming a Data Scientist at CeADAR, Lauren worked for a machine learning consulting company in Cape Town, South Africa called DataProphet where she was involved in manufacturing optimisation, customer segmentation and process analysis projects.
Areas of expertise/interest: Process optimisation and analysis, data analysis and visualisation, machine learning.
Data Scientist, UCD
Andrés L. Suarez-Cetrulo is a 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.
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
Senior Lecturer and Agri-analytics specialist, TUD
Patricia O’Byrne is a senior lecturer in the School of Computing in Dublin Institute of Technology, 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.
Marie Skłodowska-Curie Postdoctoral Fellow, UCD
Paul Nulty is a Marie Skłodowska-Curie COFUND Fellow at CeADAR, University College Dublin and Corlytics. His work focuses on applications of natural language processing to research questions in the social sciences and humanities. Paul graduated with a degree Computer Science and Linguistics from UCD and continued to complete his PhD in Computational Linguistics from the School of Computer Science in UCD in 2013. He worked as a postdoctoral researcher at the Department of Methodology at the London School of Economics from 2012-2015, and at the Centre for Research in Arts, Social Sciences and Humanities (CRASSH) at the University of Cambridge from 2016-2018
Areas of expertise/interest: Natural language processing, text analysis, computational linguistics, applications to problems in social science and humanities, legal and regulatory text analysis
Marisa Llorens is a lecturer in the School of Computer Science in TU Dublin and CeADAR collaborator. Marisa received her PhD from DIT and also holds an MSC in Applied Computing and a BEng Electrical and Electronic Engineering from the Universidad Politecnica de Valencia (Spain) and Nottingham Trent University (UK). Marisa’s research areas cover machine learning, text analytics, computational linguistics and data mining.
Areas of expertise/interest: Machine Learning, data analytics, text analytics, computational linguistics, data wrangling, data visualisation.
Anca Delia Jurcut
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.
Ayman Taha Farahat
Marie Sklodowska-Curie Postdoctoral Fellow, TUD
Ayman Farahat is a Senior Researcher in the School of Computing at Technological University Dublin (TUD). Ayman has received his PhD from the faculty of Computer and Information-Cairo University and the University of Minnesota, USA. His research interests broadly involve data mining and machine learning, specifically outliers and fraud detection, correlation and association data analysis, geospatial and temporal data computing and big data analytic management and analytics.
Areas of expertise/interest: Outlier, anomaly, intrusion and fraud detection, Categorical data analysis, Geospatial data management, Spatial and temporal data analytics, Statistical Correlation analysis, Data Warehousing and Business Intelligence, Machine learning.
Lilian Genaro Motti Ader
Marie Sklodowska-Curie Postdoctoral Fellow, UCD
Lilian is a Marie Skłodowska-Curie Career FIT COFUND Fellow at CeADAR, University College Dublin and Kinesis Health Technologies Ltd. The aim of her research is to improve data capture in health technologies by making them easier to use and empowering users. Lilian holds a PhD in Human-Computer Interaction from the University of Toulouse, France. Her PhD research investigated how the movements of older adults affect their interaction with touchscreen devices. She holds a master’s degree in Arts and Digital Media from the University of Paris 1 and a bachelor’s in Communication, Image and Sound from the Federal University of Sao Carlos, Brazil. Lilian has experience of work on web accessibility, interaction design and use of technologies by people with special needs.
Areas of expertise/interest: Human-Computer Interaction, User Experience, User-Centred Design, Usability, Accessibility, Human Movement Analysis, Biomechanics
Thomas has a degree in Engineering and has a strong interest in Computer Vision as well as systems integration.
Damon is a very experienced researcher who brings vast knowledge and skills with the Internet of Things and Assistive Technology platforms to anything he works on.
Santos Fernandez Noguerol
Marie Sklodowska-Curie Postdoctoral Research Fellow
Santos Fernandez Noguerol is a Marie Sklodowska-Curie Postdoctoral Research Fellow at Technological University Dublin. Previously, he worked at the French National Centre for Scientific Research (CNRS), the largest governmental research organisation in the country. He holds an Honours Bachelor’s Degree in Geography and obtained his PhD in Analysis, Cartography and Spatial Planning at the University of Oviedo. His research has been awarded several times by reference companies in the industry such as Environmental Systems Research Institute (ESRI), Microsoft and Amazon Web Services.
Areas of expertise/interest: Geographic Information Systems, Spatial Analysis, Geoprocessing, Cartography, Machine Learning, Property Valuation
Hamidreza Rabiei Dastjerdi
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.
Senior Applied Data Scientist, UCD
Aniket is a full stack senior architect in the applied data science, big data & AI space. He has an overall all-round work experience that spans across ‘IT Tech Consulting’, Applied Research & Engineering’, ‘Product’ and ‘Management Tech Consulting’ industries. He has a strong and relevant working experience in designing, developing and managing projects that uses applied research, AI, software engineering, data engineering, data science & big data analytics tools & programming languages. He holds an MSc Artificial Intelligence degree from The University of Edinburgh, Scotland and has experience in entrepreneurship, as founder of a start-up company in the AI FinTech sector.
Areas of expertise/interest: AI, Data Science, Big Data Analytics, Applied Research & Engineering, Product Development & Software Engineering
Senior Innovation Portfolio Manager, UCD
David Gardiner is the Senior Innovation Portfolio Manager at the Centre for Applied Data Analytics and Machine Intelligence (CeADAR). CeADAR is part funded by Enterprise Ireland and the IDA and is the national centre for applied data analytics and artificial intelligence.
Prior to being appointed as the Senior Innovation Portfolio Manager with CeADAR, David worked in the award winning Innovation and Knowledge Transfer office at Technological University Dublin. Whilst there, David set up and led Open Labs which created an external R&D facility for small firms, giving them access to more than 600 researchers and facilities in product prototyping, virtual reality, internet of things, data analysis for business and innovative surface coatings. David also co-founded both the virtual reality lab and rapid prototyping lab for Technological University Dublin.
David is a technology transfer professional and holds an MSc in Global Business, a Bachelor of Business (Honours) in Accounting & Finance, Postgraduate Diploma in International Business Development, Postgraduate Certificate in Entrepreneurship, Innovation and Enterprise and has studied a Degree in Digital Technology, Design and Innovation. David also has considerable experience working with entrepreneurs and start-ups. He set up and ran Technological University Dublin’s student entrepreneurship programme, which focuses on developing TU Dublin students and alumni as entrepreneurs with the intention to create viable and sustainable businesses.
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
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.
Shridhar Kulkarni, Data Scientist, UCD
Shridhar is a Data Scientist at CeADAR, Ireland. Prior to joining CeADAR, he worked at Insight Centre for Data Analytics, UCD as a Research Scientist focusing on unsupervised time series classification. He holds a Masters degree in Data Analytics and enthusiastic about research in machine learning, deep learning, blockchain and recommender systems. Previously he worked with NTT Data and IBM gaining extensive experience in multiple roles throughout his careers such as DB2 Database Administrator, DB2 Database Developer and Business Analyst.
Areas of expertise/interest: Deep Learning, Blockchain, Statistics, Applied Research and Engineering