Giorgos Stamou

Professor   Division of Computer Science

  •   +30 (210) 7723040, +30 (210) 7722521
  •   +30 (210) 7722492
  •   Office 1.1.7, 1st Floor, Old Electrical and Comp. Engineering

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). His research interests include knowledge representation, automated reasoning and machine learning, with specific interest in areas like knowledge graphs, explainable artificial intelligence, semantic interoperability 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 organiser or member of the organisation committees of Conferences. He has ~5000 citation and a 34 h-index (according to Google Scholar). 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

Knowledge Representation Formalisms and Methods • Inference engines • Uncertainty, fuzzy and probabilistic reasoning • Computational logic • Knowledge acquisition • Machine Learning • Neural Networks • Intelligent Systems • Content Analysis and Indexing • Semantic Data Access • Data Analysis


 Publications Link