Brief Biography
Dr Giorgos Stamou is currently a Professor in the School of Electrical and Computer Engineering, National Technical University of Athens, Director of Artificial Intelligence and Machine Learning Systems Laboratory (AILS Lab) and Visiting Professor of Operations Research and Statistics at the MIT Sloan School of Management and MIT Open Learning. His research interests include deep learning, multimodal AI, explainable AI, knowledge representation and automated reasoning, with specific interest in areas like Large Language Models-LLMs, explainable AI, LLM reasoning, and applications. He has been working in more than 60 funded research projects in the above areas, in many of them as the scientific coordinator. He has published more than 150 papers in scientific Journals and Conference Proceedings, co-edited books and one monograph, served as organizer or member of the organization committees of Conferences. He has been a member of several scientific committees (Steering Committee of Web Reasoning and Rule Systems Association (RRA), Description Logics Steering Committee W3C AC rep of NTUA in Rule Interchange Format WG, Web Ontology Language WG, Uncertainty Reasoning for the Web (URW3) XG and a Steering Committee member of RuleML co-chairing the Fuzzy RuleML Technical Group). He was a senior researcher of Institute of Communications and Computer Systems (2000-2008) and an academic visitor of Oxford University, Information Systems Laboratory (academic year 2011-2012). Finally, he was the founding Director of the MSc "Data Science and Machine Learning" of National Technical University of Athens, from 2018 until 2022.
Research Interests
Deep Learning • Large Language Models (LLMs) • Knowledge Representation • Automated Reasoning • Explainable AI • LLM reasoning • Data Analysis • AI applications
Publications
Publications LinkCourses
- Foundations of Computer Science (Undergraduate - 3rd Semester)
- Artificial Intelligence (Undergraduate - 6th Semester)
- Machine Learning (Undergraduate - 7th Semester)
- Neural Networks and Intelligent Systems (Undergraduate - 8th Semester)
- Knowledge Systems and Technologies (Undergraduate - 9th Semester)
- Technologies of Semantic Web (Graduate - Spring Semester)