معرفی
David Lillis is an Associate Professor in the School of Computer Science at University College Dublin (UCD). His research focuses on Natural Language Processing (NLP), Artificial Intelligence (AI), and their applications in legal and forensic contexts. He leads projects like CeADAR (Ireland’s Applied AI Center) and the Transpire project, collaborating with organizations such as Corlytics and the Department of Enterprise, Trade and Employment. He holds adjunct roles as a Guest Professor at Beijing University of Technology’s Data Mining and Security Lab and has been a Fulbright Scholar at the University of New Haven’s Cyber Forensics Research and Education Group.
Education:
- B.A. (Hons) in Law and Accounting, University of Limerick
- Higher Diploma in Computer Science, UCD
- M.Sc., Ph.D. in Computer Science, UCD
- Professional Certificate in University Teaching & Learning, UCD
Research Interests: Legal AI, digital forensics, machine learning, multi-agent systems, and information retrieval. Recent work includes NLP for regulatory analysis, crop yield prediction via neural networks, and AR-driven decision support systems.
Grants & Projects:
- Principal Investigator: Transpire (AI Platform for Regulation)
- SFI Funded Investigator: CONSUS (Crop Optimization)
- PI: CeADAR Technology Centre
Teaching roles include Deputy Programme Director for Software Engineering at Beijing-Dublin International College (BDIC) since 2014.
Labs & Groups: UCD Forensics and Security Research Group, ML-Labs (SFI Centre for ML Training), and the Data Mining and Security Lab (BJUT).
