University: DCU
Vivek Manmohan Bulani
PhD Researcher
Vivek Bulani is a PhD student in the School of Computing in Dublin City University from October 2022. He is part of the Fourth Cohort being funded by the Science Foundation Ireland’s Centre for Research Training in Artificial Intelligence. He has recently graduated with a First – class Honours (1.1) degree in MSc Data and Computational Science from University College Dublin, Ireland. As a part of master’s thesis, he has worked on the Federated Learning framework for Recommendation Systems. His focus was on exploring Model-Poisoning Attacks on the Federated Recommendation Model and proposing defence strategies against them.He has completed his Bachelor in Computer Engineering from Pune University, India with First – class Honours. In his undergraduate studies, he has developed various projects at the intersection of Data Science and Health Industry. His Final Year project work used Photoplethysmogram signals to predict the presence of any illness in the human body using the principles of Signal Processing, Machine Learning, Deep Learning and Ayurveda, thus helping in early detection and treatment of human diseases. He has also published a survey paper on Machine Learning Algorithms for Diabetes Detection. He has been among the top five University Rank Holders in his first year of bachelor’s.For his PhD, he is aiming to work on the use of Deep Learning techniques in Cryptocurrency with primary focus on user portfolios. Apart from academics, he likes to play Football and Badminton, walking and exploring in the midst of nature.
Supervisors – Dr. Martin Crane, Dr. Marija Bezbradica.
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Professor Boualem Benatallah
CRT in AI Supervisor
Prof. Boualem Benatallah is a full professor of computing at Dublin City University (DCU, Ireland) since Jan 2022. He is a fellow of the IEEE. His main research interests are developing fundamental concepts and techniques in service Web services middleware, business process automation, quality control in crowdsourcing services, automated and crowdsourced training data curation, intelligent and AI-augmented services, conversational cognitive services. He has published more than 300 refereed papers including more than 100 journal papers. His work is highly cited (over 23,800 citations, h-Index: 67, according to Google School). Most of his papers appeared in very selective and reputable conferences and journals. He is frequently invited to give keynotes and seminars at international conferences, workshops and PhD schools. Prof. Benatallah has been general and PC chair of a number of international conferences. He has been guest editor of several special issues for reputable international journals. He is a member of the steering committee of BPM (Business Process Management) and ICSOC (Int. Conference on Service Oriented Computing) conferences. He is member of the editorial board of numerous international journals including ACM Transactions on Web and IEEE transactions on services computing. He is a member of the Executive Committee of IEEE Computer Society’s Technical Committee on Business Informatics and Systems. He has built a strong set of international relationships with leading researchers and practitioners in his field, and multiple productive collaborations with internal universities, industry and government organizations.
He supervised over 35 research (30 PhD and 5 Masters by Research) students to completion as principal or joint supervisor. He was also associate supervisor of several research students. Professor Benatallah has had over 21 years as a senior lecturer, associate professor, professor and then Scientia professor at UNSW Sydney (Australia) before joining DCU. Earlier in his academic career, he was also an academic at Queensland University of Technology and James Cook University (Australia). He was a member of the team (comprising multiple university, government, and industry partners) that constructed the successful bid for the Smart Services CRC (Cooperative Research Centre, Australia, 2008-2013). He was research leader of the data curation foundry research stream at the Data to Decisions CRC (Australia, 2017-209). His research attracted a large amount of competitive grant income, including ARC (Australian Research Council) Discovery Projects, ARC Linkage Projects) and ARC Linkage, Infrastructure, Equipment and Facilities, ARC International Awards and several other Australian government and European Union competitive grants and networks. He held visiting professor positions at several prestigious research institutes and universities including INRIA-LORIA, Trento University (Italy), Clermont Ferrand, University of Lyon, Paris Dauphine University (France). He obtained a PhD in computer science from Grenoble University (France).
Teerath Kumar
PhD Researcher
Teerath Kumar, is a full time PhD Student, at Dublin City University, Glasnevin, Ireland. Previously I was full time research Assistant at Kyung Hee University, South Korea for 2 years, and published journals and conference papers in the field of computer vision and machine learning. I also worked as a Data Scientist at Human Focus Technologies, UK based company, Islamabad, Pakistan for 8 months. Before that, I was also part time internee during my undergrad study at Automotive Artificial Intelligence Germany based in Islamabad. I have been working on deep learning for computer vision for the last 4 years. My research interests (are not limited to): image classification, detection and segmentation. Additionally, I worked with medical imaging as well in last 6 months.
Supervisors: Dr. Malika Benechache
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Bunyarit Puangthamawathanakun
PhD Researcher
Bunyarit is a first-year PhD student at the School of Computing, Dublin City University, where he is supervised by Dr. Graham Healy and Dr. Cathal Gurrin. His research is in the field of face de-identification which is a subfield in Artificial Intelligence Computer Vision that is concerned with tools and techniques to synthesise faces while protecting privacy and preserving semantic for faces in lifelogging data. Bunyarit holds an BSc. in Computer Science from King Mongkut’s University of Technology Thonburi in Thailand prior to joining the CRT-AI funded PhD programme. In his spare time Bunyarit enjoys social activities, cooking and playing music instruments such guitar and piano.
Supervisor: Dr. Graham Healy & Professor Cathal Gurrin
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Kislay Raj
PhD Researcher
Kislay Raj is a first-year Ph.D. student at the school of computing, Dublin city university(DCU), where he is supervised by Dr. Alessandra Mileo.
His research is in the field of NeuroSymbolic Artificial Intelligence, which is concerned with Bridging the gap between Deep Learning and Reasoning for Explainable and Trustworthy Decision Support that is a concerning possibility of creating a common representation space where high dimensional probability distribution and causal/temporal reasoning over data streams can be combined to enable explainable and trustworthy decision support that exhibit continuous neural learning as well as cognitive stream reasoning capabilities. He holds a First class MSc. in Data Analytics, Ireland, where his thesis was focused on Fake News detection using machine learning algorithms; Prior to joining the CRT-AI-funded Ph.D. program, He worked in several positions which include, software engineering intern, Junior soft commodity analyst, online marketing manager, and data analytics consulting.
In his spare time, he enjoys writing poetry, hanging out with friends, and playing guitar.
Supervisors: Dr. Alessandra Mileo
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Praveen Acharya
PhD Researcher
Praveen Acharya is a first-year Ph.D. student in the School of Computing at Dublin City University (Ireland) where he is supervised by Professor Gareth J.F. Jones. His area of research is in Natural Language Processing with a focus on natural language understanding and information retrieval. Praveen holds an M.Eng. in Computer Engineering from Kathmandu University (Nepal) where his thesis focused on Statistical and Neural Machine translation for under-resourced language pairs. Before joining the CRT-AI programme, he worked as a Machine Learning Engineer/Project Developer wherein he worked in healthcare workflow automation in US Healthcare Industry by developing and integrating machine learning pipelines for document classification and information extraction. When he is not working he enjoys spending time alone and is trying to take up running and travelling.
Supervisor: Professor Gareth J.F. Jones
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ZhengFei Ren
PhD Researcher
Zhengfei is a first-year PhD student at the School of Computing in the Faculty of Engineering and Computing, Dublin City University, where he is supervised by Dr. Annalina Caputo. His research is in the field of Natural Language Processing which is a subfield of Artificial Intelligence that is concerned with tools and techniques to automatically explore diachronic change in human languages from historical documents. Zhengfei holds an MSc. in University College Cork, Ireland, where his thesis was focused on multi-dimensional sentiment analysis based on daily languages. Prior to joining the CRT-AI funded PhD programme, Zhengfei worked as a project team member on the 21st Extracurricular Academic Exchange Project held by Sochoow University. The project aimed to develop an AI-based digital recognition system to facilitate industrial production. In his spare time Zhengfei enjoys playing basketball, jogging and playing guitar.
Supervisor: Dr. Annalina Caputo.
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Dr. Brian Davis
CRT in AI Supervisor
Brian Davis is an Assistant Professor at the School of Computing, DCU. Previously, he was a Lecturer in Computer Science at Maynooth University and Research Fellow, Adjunct Lecturer and Research Unit Leader at the Science Foundation Ireland (SFI) funded INSIGHT Centre for Data Analytics, NUI Galway (NUIG) for four years and led the Knowledge Discovery Unit. He also coordinated a 3-year Horizon 2020 Innovation Action – SSIX – Social Sentiment Financial Indexes (Grant No 645425). His core expertise intersects with Natural Language Processing (NLP) and Ontology development. Specific research interests include: offensive language detection, Data2Text NLG, Knowledge Base population from text.
He has reviewed several conferences and journals in the field of Semantic Web and NLP over the years i.e., EMNLP, COLING. ACL, NAACL, ESWC, ISWC, LREC,NLDB, SEMANTICs and JNLE, LRE, JWS, ACM Surveys. He has over eight years research experience in Text Analytics, Information Extraction and the intersection with NLP for ontology development and access. His current research interests include exploring pipelined neural architectures for i) data/knowledge -to-text Natural Language Generation (NLG) systems and ii) relation extraction and/or event extraction
Dr. Alessandra Mileo
CRT in AI Supervisor
Dr. Alessandra Mileo is currently a Lecturer in the School of Computing, a Funded Investigator at the INSIGHT Centre for Data Analytics, and a Funded Investigator at the I-Form Advanced Manufacturing Centre, Dublin City University. She was previously a Senior Research Fellow, Adjunct Lecturer and Unit Leader at the INSIGHT Centre for Data Analytics, National University of Ireland Galway. She holds an MSC and a PhD in Computer Science from the University of Milan, Italy.
Before Joining the Digital Enterprise Research Institute (DERI, NUIG) in 2010, she was a Post-doctoral Researcher at the Nomadis Lab, Dept. of Informatics, Systems and Communication of the University of Milano-bicocca, conducting interdisciplinary research activities involving Ambient Intelligence and Knowledge-driven Sensor Fusion, which converged in the succesful EU project proposal EasyReach, AAL, 2009-2-17, as well as the establishment of a spin-off company in 2009, now called Contexta. She continued her active contribution to successful EU proposals within DERI and later INSIGHT, acquiring a competitive EU project in the Smart Cities realm (CityPulse: Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications) and she has been Principal Investigator for the primary industry collaboration within the Research Centre portfolio (Enabling the Internet of Everything: a Linked Data infrastructure for networking, managing and analyzing streaming information and follow up industry-funded projects).
In the last 5 years, Dr. Mileo has developed a research programme in Knowledge Representation and Stream Reasoning, leveraging Semantic Technologies, expressive reasoning and statistical relational learning to design new approaches for scalable stream reasoning.
Dr. Mileo has secured almost 1 million euros in funding including national (SFI, IRC), international (EU, NSF) and industry-funded projects, publishing 90+ papers often in high impact journals and conferences. Dr. Mileo is an active PC member of over 20 top-ranked conferences and high-impact journals in her areas of interests within Artificial Intelligence, including Stream Reasoning, Complex Systems, Logic Programming, Semantic Web, Probabilistic Rule Learning, Knowledge Discovery and Knowledge Representation. including the Journal of Web Semantics (JWS), IEEE Intelligent Systems (IEEE IS), Theory and Practice of Logic Programming (TPLP), and she is Area Editors of the Databases and Semantic Web track of the Association of Logic Programming Newsletter. Dr. Mileo has been involved as a Program Chair, Panelist and Doctoral Consortium Mentor and Chair in a number of conferences, workshops and tutorials. As a member of the W3C, she is involved in standardization activities such as the W3C Community Group on RDF Stream Processing. She is Steering Committee member of the Web Reasoning and Rule Systems Association (RRA) and she is acting as evaluator for H2020 proposals.
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Professor Graham Healy
CRT in AI Supervisor
Graham Healy
I’m an Assistant Professor in the School of Computing at Dublin City University, Dublin, Ireland. My research interests involve human-computer interaction, brain-computer interfacing, machine learning and data analytics.
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Professor Gareth Jones
CRT in AI Supervisor
Gareth Jones is a Professor in the School of Computing at Dublin City University (DCU), and Principal Investigator in SFI ADAPT Centre. His research focuses on topics centred on information retrieval, including multimedia (spoken and visual content), cross-language and multilingual, personal archives and lifelog, information sources; application areas including medical, legal, patents; and theoretical work on search models and personalisation in search. His current work focuses mainly on proactive and conversational search. He has received several conference best paper awards. In 2021, he was recipient of the DCU President’s Research Award for physical sciences and engineering.
He has extensive experience in evaluation benchmarks in information retrieval including, CLEF, TREC, TRECVID, NTCIR and FIRE, and was co-founder of the MediaEval multimedia evaluation campaign. He was programme co-chair of ECIR 2010 and ACM SIGIR 2011, and general co-chair of ACM SIGIR 2013 and CLEF 2017, will serve as general co-chair of Interspeech 2023, and has taken a range of roles at other conferences. He regularly serves as a committee member of international conferences in information retrieval, natural language processing, multimedia, and speech processing.
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Professor Martin Crane
CRT in AI Supervisor
I received my B.A. B.A.I. (Mech. Eng.) degrees from Trinity College Dublin in 1989 and my Ph.D. from the same institution in 1993. I have been at DCU School of Computing since 1999 and Professor since 2020.
My areas of Research include Quantitative Finance and Complex Systems. Please feel free to email me should you be interested in doing Research in these areas.
Currently I am Head of School in the School of Computing and Funded Investigator in ADAPT
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