Principal Investigators
Collaborators
Staff
Edward McDonnell
Edward McDonnell is the Director of the National Centre for Applied Data Analytics & Machine Intelligence old.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
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.
Dr. John Kelleher
Lecturer in the DIT School of Computing and a founding member of AIRC, TU Dublin
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 TU Dublin’s School of Computing.
Dr. Robert Ross
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.
Abdollah Malekjafarian
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”.
Dr. Susan McKeever
Senior Lecturer and CeADAR PI, TU Dublin
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
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.
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, TU Dublin
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
Hector Franco-Pena
Senior Postdoctoral Researcher, TU Dublin
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.
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
Sam Kim
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 Le
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 Thibaut Lust
Senior Postdoctoral Researcher, TU Dublin
Thibaut Lust is a Senior Postdoctoral Researcher at CeADAR in TU Dublin. 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, 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.
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
Shen Wang
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.
Sreelakshmy Koonath
Commercialisation Manager
Sreelakshmy Koonath is a Computer Science engineer, with 5 years of experience in the health information technology sector. Sreelakshmy was a full stack developer for Cerner Corporation where worked with teams and clients across America, Europe and Asia.
She managed the Cerner Contract Management Suite, led technical transformation projects such as Docker implementation, Continuous Integration Continuous Deployment, and Electronic Health Record implementation during her tenure in Cerner. Sreelakshmy graduated with Bachelors of Technology in Computer Science and Engineering from Amrita University, India in 2015. She also has a Masters degree in Business Administration (MBA) from UCD Michael Smurfit Business School.
Dr. Caroline Maillet
Postdoctoral Researcher, TU Dublin
Dr. Caroline Maillet is a postdoctoral researcher based at CeADAR in TU Dublin. 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, TU Dublin
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, TU Dublin
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.
Aditya Grover
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
David Smyth
Data Scientist, UCD
David is a data scientist at CeADAR. He has been involved in two EU horizon 2020 projects, “ROCSAFE” and “SAUCE”, the first involving AI for a multi-agent robotic system and the second involving designing AI for crowd simulation using environment semantics. He has also worked as a research assistant for the V-SENSE group in Trinity College Dublin, working on computer vision applications in the domain of 3D geometry on tasks such as pose estimation and shape estimation. He has previously worked with Pramerica and Orreco as a data scientist. He has an MSc. by research from NUIG.
Luis Miralles
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.
Muhammad Atif Qureshi
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.
Mohammed Mesabbah
Postodoctoral Researcher,TU Dublin
Mohammed Mesabbah is a senior Researcher in the School of Computing at Technological University Dublin. Mohammed obtained his PhD in developing smart planning and decision support tools for complex systems from TU Dublin 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.
Saad Shahid
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
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.
James Sweeney
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.
Ciaran Kelly
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.
Lauren Burnham-King
Data Scientist II, 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.
Andres Suarez-Cetrulo
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.
Manokamna Singh
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
Patricia O'Byrne
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.
Paul Nulty
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-Salvador
Lecturer, TU Dublin
Marisa Llorens is a lecturer in the School of Computer Science in TU Dublin and CeADAR collaborator. Marisa received her PhD from TU Dublin 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, TU Dublin
Ayman Farahat is a Senior Researcher in the School of Computing at Technological University Dublin. 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 Lee
TU Dublin
Thomas has a degree in Engineering and has a strong interest in Computer Vision as well as systems integration.
Damon Berry
TU Dublin
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
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.
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.
Aniket Sanyal
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
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.
Simon Caton
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
DeepuJohn
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
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.
Shridhar Kulkarni
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
Jayadeep Sasikumar
Jayadeep Sasikumar, Data Science Software Engineer, TU Dublin
Jayadeep Sasikumar is a Computer Science engineer with over four years of experience in software development. He has a Master’s degree in Data Analytics from TU Dublin and has recently joined up with CeADAR. Jayadeep brings his software engineering and data science expertise to the team together with a highly analytical, detail-oriented and problem-solving mindset.
Areas of expertise/interest: Software Development, Data Science, Machine Learning, Deep Learning, Computer Vision
Ihsan Ullah
Dr. Ihsan Ullah
Dr. Ihsan did his Ph.D. from the University of Milan specializing in designing lightweight deep neural network architectures with the pyramidal approach. He has extensive experience in applying Machine Learning sub-branch i.e. Deep Learning to a variety of images, video, text, and time-series recognition problems. More than seven years of research and development experience in implementing and designing classification and regression models. Worked with renowned labs in the US, Europe, and the Middle East. Before joining CeADAR, He was working at NUI Galway as a Senior Postdoc, Adjunct Lecturer, and Project Manager of the H2020 project ‘ROCSAFE’. He also worked as Postdoc at INSIGHT Research Centre in NUIG, Visiting Researcher at Computational Vision and Geometry Lab at Stanford University, Researcher at CVPR Lab at the University of Naples Parthenope, and Research Assistant at Visual Computing Lab in King Saud University, Riyadh, Saudi Arabia. He worked on projects related to action recognition from videos using deep learning, modelling deep architectures for CNN, object detection and tracking using deep models, analyzing EEG brain signals for emotion and epilepsy detection, IoT, and biometrics.
Areas of Expertise/Interest:
Deep Learning, Computer Vision and Pattern Recognition, Data Analysis, Designing lightweight deep models, Machine Learning, Explainable AI, and Federated Learning
Anthony Faustine
Anthony Faustine is a Data Scientist at CeADAR (UCD) with over four years of successful experience in data science, machine learning, and deep learning techniques for multiple applications. Previously, he worked as a Machine learning researcher at IDLab, imec research group of the University of Ghent pursuing data science work within the context of energy analytics. At IDLab, Anthony worked extensively with machine learning techniques applied to energy smart-meter data. The project focused on the method to identify active appliances and extract their corresponding power consumption from aggregate power (energy disaggregation) in residential and industrial buildings. His research interests lie in the intersections between machine learning and computational sustainability. He works towards bridging the gap between laboratory and industrial applicability of Machine Learning for computational sustainability.
Areas of expertise/interest: Data Science, Machine Learning, Deep Learning, Computer Vision, Energy analytics, Causal Inference.
Prabhakaran AK
Prabhakaran AK, Blockchain Developer, CeADAR UCD
Prabhakaran is a senior blockchain developer at CeADAR. Previously he worked with Mindtree Ltd India, developing the blockchain platform for ripe.io a silicon valley based food supply chain startup. He has industrial exposure to telecom, banking and supply chain and worked across various database technologies.
Areas of Expertise : Blockchain application development
Inder Preet
Data Scientist, UCD
Inder is a Data Scientist at CeADAR currently working on using AI and ML methods for Earth Observation data from satellites. He has previously worked in time-series analytics for wind energy, telecommunications sector and is an author of an open-source Python library for analytics in the renewable energy domain. He also enjoys tinkering with electronics and AI specific hardware architectures. He completed his bachelor’s degree in Physics from St. Stephen’s College, Delhi and a master’s in Computational Physics from University College Dublin.
Eren Aktas
Senior Data Scientist, TU Dublin
Eren Aktas is a Senior Data Scientist at CeADAR with a history of working in Advanced Analytics & Digital Transformation on Energy & Oil, Telecommunication, e-Commerce, Stock Market industries and SAP ecosystem. He is an information technology professional with a Master’s Degree focused on Data Analytics from Dublin Business School and with a Bachelor’s Degree focused on Mathematics Engineering from Istanbul Technical University.
Areas of ExpertiseInterest: Artificial Intelligence, Renewable Energy, Optimization, Big Data Technologies, IoT, Sensor Analytics
Bianca Schoen Phelan
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.
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Pankaj Badatia
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.
Fan Zhang
Fan Zhang Postdoc, TU Dublin
Fan Zhang is currently a postdoctoral researcher in School of Computer Science at TU Dublin, where his work focuses on applying prediction models and Machine Learning algorithms in the agricultural domain. Fan has been working on research and innovation aspects around the Internet of things, energy forecasting, applied AI techniques at the software team in NIMBUS Research Centre, CIT for two years. Fan completed his PhD research in 2018 from Cork Institute of Technology. His doctoral work explored the prediction of the milk production for the Irish dairy industry using novel mathematical modelling techniques. He obtained MSc and BSc in Computer Science from TU Dublin and BLCU Beijing.
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Vinayaka Reddy Hanumanthappa
Vinayaka Reddy H, Data Science Software Engineer, TU Dublin
Vinayaka is a Computer Science engineer with over three years of experience in software development. He has a Master’s degree in Data Analytics from Technological University of Dublin. Previously he worked with cognizant India, developing and designing applications in Health Care, e-commerce, enterprise, high-performance web technologies and worked across various database technologies.
Areas of expertise/interest: Software Development, Data Science, Machine Learning, Deep Learning, Computer Vision
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Roberto Cideos
Roberto Cideos, Software Engineer at CeADAR.
Roberto Cideos works in the School of Computer Science at CeADAR, member of IEEE, has more than five years of experience working in front-end developing, back-end developing, e-commerce, dev-ops and data analytics/visualization. He holds a B.S. degree in Electrical Engineering from Universidad Centroamericana José Simeón Cañas and studied Software Engineering as well, he also was able to make an academic exchange at Universidad Católica del Uruguay, where he focused on Embedded Systems, Telecommunications, IoT and Power systems. He has worked with multiple modern web frameworks previously joining CeADAR, including: React, Vue.js, Backbone.js, Flask, Express.js and some others.
Areas of Expertise/Interest:
Software Engineering, Machine Learning, Data Analytics, IoT, Artificial Intelligence, Quantum Computing
Naser Razavi
Technical Programme Manager
Dr Naser Razavi is Technical Programme Manager within the Applied Research Group at CeADAR, Ireland’s centre for Applied AI at University College Dublin. His primary research interests include machine learning, deep learning, machine vision and natural language processing. He received his PhD in artificial intelligence from Iran University of Science and Technology, researching for complex systems modelling and simulation. Prior to joining CeADAR he worked 9 years as an assistant professor in department of electrical and computer engineering at University of Tabriz, Iran. There he engaged in training B.Sc., M.Sc and PhD students on a full time basis. Also he established the “Computational Intelligence and Machine Learning” research lab at University of Tabriz, where he developed machine learning solutions for a number of different problem domains such as a face recognition system for eKYC, a smart app for digital smile design and a machine translation system for Farsi.
Areas of expertise/interest: Artificial Intelligence, Machine Learning, Deep Learning, Optimization
Software Engineering, Machine Learning, Data Analytics, IoT, Artificial Intelligence, Quantum Computing
Yassine Jelassi
Yassine Jelassi is an oil & gas engineer with 6 years international experience in Schlumberger, an oilfield service company. Yassine covered multiple districts in North Africa, the Middle East and USA. He managed the operation of onshore fracturing projects and worked as technical and sales engineer for the client Saudi Aramco. Yassine developed multiple machine learning solutions for the oil and gas industry, one of which he has submitted a patent for. Yassine graduated in 2011 as an Industrial Engineer from the University of Carthage in Tunis. He also holds an MBA from the UCD Smurfit Business School.
Sean Mahon
Sean is a Data Scientist at CeADAR, UCD, with experience in Machine Learning, Natural Language Processing, and High Performance Computing. He recently finished a master’s degree In Artificial Intelligence at the University of Edinburgh, specialising in Deep Learning and NLP. His dissertation topic was “Semi Supervised Neural Machine Translation with Generative Adversarial Training”. Previously, he completed his undergraduate degree in Trinity College Dublin, receiving a Gold Medal in Theoretical Physics.
Areas of expertise/interest:
Machine Learning, Natural Language Processing, Deep Learning, Data Science
Sara perez Carbaza
Marie Skłodowska-Curie Postdoctoral Fellow, UCD
Sara Perez is a Marie Skłodowska-Curie Postdoctoral Fellow at CeADAR – University College Dublin and ProvEye. Her project focus on the application of deep learning techniques to monitor threatened Irish habitats.
In 2019, Sara finished her PhD studies financed by Airbus Group at the University Complutense of Madrid. Her PhD thesis proposes several path planning methods based on metaheuristics for optimizing the routes of a fleet of UAVs for target search missions. While finishing her PhD studies, Sara started working on deep learning methods for image classification problems. She collaborated with a Spanish company to apply siamese neural networks for a car plate identification problem. Later, she moved to Italy to do a research trainee at the Joint Research Centre of the European Commission, where she applied convolutional neural networks to a crop classification problem using imagery provided from the Sentinel-2 satellites.
Areas of expertise/interest: Deep Learning, Convolutional Neural Networks, UAVs, Remote Sensing, and Metaheuristics.
Sara Stevenson
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.
Yogeesha Yogeesha
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
Tricia Logan
Erin Finnerty
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.
Alan Power
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.
Avril Power
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.
Richard Cooke
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.
Tricia Logan
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.
Ankit Kumar
Ankit has a MSc in Computer Science (Negotiated Learning) from UCD and an undergraduate degree in Engineering in Computers.
Before completing his Masters Ankit worked as a software engineer in TIBCO working on a credit card fraud detection solution using machine learning. More recently Ankit was involved in a project that created a real-time statistical analyzer for COVID-19 data.
Ankit is currently working on placement with a leading Irish consultancy firm focused on developing client solutions in the area of text, form, and image recognition.
Areas of interest/expertise: Machine Learning, Image Processing, NLP and Deep Learning.
Hristo Stoev
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.
Sajjad Zulphekari
Sajjad has a MSc in Computer Science from UCD and an undergraduate degree in Engineering in Information Technology.
Before completing his Masters Sajjad was a researcher and worked on projects relating to website data extraction and analysis (customer reviews), twitter sentiment analysis, and a website solution for restaurant managers to help reduce wait-times.
Sajjad is currently working on placement with an Irish financial company working on the automation and consolidation of multiple partner data for analysis, reporting and dissemination.
Areas of interest/expertise: machine learning, python, neural networks.
Sandesh Gangadhar
Sandesh has a MSc in Computing (Data Science) from TUD (on scholarship) and an undergraduate degree in Electronics and Communications.
Before completing his Masters Sandesh was a senior Researcher and Systems Analysts working in the areas of data consolidation, aggregation, cleansing and analysis across travel and retail projects.
Sandesh is currently working on placement with an Irish media company using and applying machine learning to optimise the production workflow.
Areas of interests/expertise are in the field of research in text processing using machine learning and AI techniques.
Aditi Bansal
Aditi has a MSc in Computer Science from UCD and an undergraduate degree in Information Technology.
Before completing her Masters Aditi worked for a number of years as a software engineer in Accenture supporting solution delivery across a number of projects using the agile delivery framework.
Aditi is currently working on placement with an Irish retail company focused on identifying valuable commercial and behavioural insights through data analytics.
Areas of interests/expertise:machine learning, python, neural networks.
Karishma Tyagi
Karishma has a MSc in Computer Science (Negotiated Learning) from UCD and an undergraduate degree in Engineering in Information Technology.
Before completing her Masters Karishma worked as a software engineer in TIBCO supporting technical solution delivery across a number of clients and projects.
Karishma is currently working on placement with an Irish recruitment agency developing a number of predictive machine learning models and analytical tools to support internal operations.
Areas of interest: Predictive Analytics, Natural Language Processing, Python, Data Visualisation.
Vidya Pawar
Vidya has a MSc in Data Analytics from Dublin Business School (DBS) and an undergraduate degree in Electronics and Communications.
Before completing her Masters Vidya worked for Reliance Industries Limited (a Fortune 500 company) supporting technical solution delivery across a number of their product and service projects. Vidya previously had a placement with an indigenous Irish marine technology company developing machine learning models linked to ocean satellite imagery. Vidya is supporting the CeADARConnect programme.
Areas of interest/expertise: machine learning, python, neural networks.
Raj Shekhar
Raj has a MSc in Data Science from UCD and an undergraduate degree in Computer Science.
Before completing his Masters Raj worked as a software engineer and data analyst both in WIPRO and Accenture delivering technical solutions for their clients.
Raj is currently working on placement with an Irish financial company developing multiple reporting and analytical dashboards to support internal operations.
Areas of interest are Python and Power BI and how they will be used in the future of data analysis.
Vaibhav Behl
Vaibhav has a MSc in Computer Science from UCD and an undergraduate degree in Computer Science and Engineering. Before completing his Masters Vaibhav worked as a software developer in Maruti Suzuki India Limited supporting the delivery of technical solutions.
Vaibhav is currently working on placement with an indigenous Irish agrochemical company developing solutions to improve operational efficiencies through data consolidation.
Areas of interest/expertise: Machine Learning, Deep Learning and Data Visualization
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Saurabh Manthapurwar
Saurabh has a MSc in Computer Science from UCD and an undergraduate degree in Computer Science.
Before completing his Masters Saurabh worked as a senior technical consultant and analyst for Accenture delivering technical solutions for their high value telco client.
Saurabh is currently working on placement with an indigenous Irish utility technology company developing machine learning models and data visualization on AWS cloud linked to energy usage.
Areas of interest/expertise: machine learning, python, neural networks, data visualization and data analysis.
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Hanene Jemoui
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.
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Garima Vatsa
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
Hossam Zawbaa
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
Rajnish Rakholia
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
Bujar Raufi
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.
Polat Goktas
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
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
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.
Dr Adrian Byrne
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.
Dr Daniel Gibert
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.
Dr Corrado Grappiolo
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.
Dr Fatma Hachani
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
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.
Vivek Tyagi
Areas of Interest: Applied R&D and AI Product development experience in Text/NLP AI, Spam/Hatespeech Content Moderation AI, and Speech Recognition AI.
Michael Spence
Areas of Interest: NLP, machine learning, real time analytics.
