George Vouros short biography & research interests

Academic Position

Professor

Short Biography

Prof. George VOUROS (B.Sc, Ph.D) holds a BSc in Mathematics (1986), and a PhD in Artificial Intelligence (1992) all from the University of Athens, Greece. Currently he is a Professor in the Department of Digital Systems in the University of Piraeus and head of the AI-Lab in this Department. He has done research in the areas of Expert Systems, Knowledge Management, Collaborative Systems, Ontologies, and Agents and Multi-Agent Systems. He served/serves as program chair, chair and member of organizing committees of national and international conferences (AAMAS, AAAI, IJCAI, ECAI, WI/IAT, AT, EUMAS, ICMLA, ESWC, CSCL, AIAI) and as member of steering committees/boards of international conferences/workshops (EURAMAS, SETN, AT, COIN, OAEI). He has given keynote speeches in conferences and workshops (WoMo, ICTAI, CLIMA, IF&GIS) and he has organized several workshops (MATES@EDBT, Data-Driven ATM@WAC, Data-Enhanced Trajectory Based Operations@ICRAT; the most recent ones). He served/serves as guest editor in special issues in well-reputed journals (e.g. IJCIS, AIR, GEOINFORMATICA, AICom, ISF). He is/was senior researcher in numerous EU-funded and National research projects (GSRT/AMINESS, FP7/Grid4All, FP7/SEMAGROW, COST/Agreement Technologies the most recent ones and has supervised 13 PhD students. He currently supervises 4 PhD students. He recently coordinated the successful DART project (SESAR project) and coordinates the datACRON Big Data project (H2020 ICT-16).

George Vouros has served 3 times as chair of the Hellenic A.I. Society board.

He is the head of the Ai LAb @ Dept. Digital Systems, University of Piraeus (http://ai-group.ds.unipi.gr/ai-group/) and director of the MSc on AI in collaboration with Inst. of Informatics and Telecom. of NCSR “Demokritos” (http://msc-ai.iit.demokritos.gr/)

Research Interests

Agents and multi-agent systems

-- Reinforcement Learning in Multiagent Systems
-- Deep Reinforcement Learning
-- Imitation Learning
-- Collaborative and Coordinated Action
-- Information Sharing & Semantic Coordination
-- Multi-Agent Based Simulation and Modeling
-- Agents' Organizations and Adaptation


Ontologies and Semantic Web

-- Methodologies and tools for collaborative evolution and engineering of living ontologies
-- Learning Ontologies from (mostly textual) data
-- Mapping and Aligning Ontologies
-- Distributed Reasoning with Description Logics
-- Partitioning large ontologies into modules
-- Computation of Emergent Semantics in Open Agent Societies