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Giorgos Stamou

ProfessorComputer Science

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

Giorgos Stamou

Short CV

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

Courses

TitleSemester
Artificial Neural Networks and Machine LearningPostgraduate - Fall Semester
Technologies of Semantic WebPostgraduate - Spring Semester
Knowledge Discovery from DataPostgraduate - Fall Semester
Artificial Intelligence and Data AnalysisPostgraduate - Spring Semester
Machine LearningPostgraduate - Fall Semester
Deep LearningPostgraduate - Spring Semester
Artificial Intelligence and Data AnalysisPostgraduate - Spring Semester
Artificial Intelligence in HealthcarePostgraduate - Spring Semester
Knowledge Systems and TechnologiesUndergraduate - 9th Semester
Artificial IntelligenceUndergraduate - 6th Semester
Neural Networks and Intelligent SystemsUndergraduate - 8th Semester
Foundations of Computer ScienceUndergraduate - 3rd Semester
Machine LearningUndergraduate - 7th Semester
Introduction to Artificial IntelligenceUndergraduate - 2nd Semester
Machine LearningPostgraduate - Fall Semester

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