George Vouros

George Vouros 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, Reasoning with Ontologies, Agents and Multi-Agent Systems, Reinforcement Learning and Imitation Learning. 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, ISWC) and as member of steering committees/boards of international conferences/workshops (EURAMAS, SETN, AT, COIN, OAEI). He has given keynote speeches in conferences, workshops and summer schools, he has organized several workshops. He served/serves as guest editor in special issues in well-reputed journals (e.g. IJCIS, AIR, GEOINFORMATICA, AICom, ISF) and he serves the editorial board of scientific journals (e.g Discover Artificial Intelligence, Springer Nature, IJAIT, Information MDPI, etc). He is/was senior researcher in numerous EU-funded and National research projects and has supervised 13 PhD students. He currently supervises 4 PhD students.

 

George Vouros has served 4 times as chair of the Hellenic A.I. Society board where he currently serves as the President of the 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/)

Publications

I) Most Recent Publications in Journals

• • Gennady L. Andrienko Natalia V. Andrienko, Jose Manuel Cordero Garcia Dirk Hecker George Vouros A. Supporting Visual Exploration of Iterative Job Scheduling. IEEE Comput Graph Appl . , 42 (3), pp. 74-86, 2022.

   

  • Georgios M. Santipantakis Konstantinos I. Kotis, Apostolos Glenis George Vouros Christos Doulkeridis Akrivi Vlachou A RDF-Gen: generating RDF triples from big data sources, Knowledge and Information Systems, 64 , pp. 2985–3015, 2022

   

  • Alevizos Bastas, George Vouros A Data-driven prediction of Air Traffic Controllers reactions to resolving conflicts, Information Sciences, 613, pp. 763-785, 2022.

   

  • George A. Vouros, Explainable Deep Reinforcement Learning: State of the Art and Challenges, ACM Computing Surveys, ACM Computing Surveys, 55 (5), pp. 1-39, 2023.

   

  • T. Kravaris, et al., Explaining Deep Reinforcement Learning Decisions in Complex Multiagent settings, Applied Intelligence (APIN), Applied Intelligence, 53 , pp. 4063-4098, 2023,  DOI: 10.1007/s10489-022-03605-1.

   

  • Spatharis C., Bastas A., Kravaris T., Vouros GA., Blekas K., Garcia Cordero JM.. Hierarchical multiagent reinforcement learning schemes for air traffic management, Neural Computing and Applications, 35 , pp. 147-159, 2023.

   

  • Alevizos Bastas, George Vouros, Data-Driven Modelling of Air Traffic Controllers’ Policy to Resolve Conflicts, Aerospace 2023, 10(6), 557, 2023.

   

  • George Papadopoulos, et al., Deep Reinforcement Learning in service of Air Traffic Controllers to resolve tactical conflicts, Expert Systems With Applications (ESWA), 2023, https://doi.org/10.1016/j.eswa.2023.121234.

   

  • Christos Spatharis et al., Modelling Flight Trajectories with Multi-modal Generative Adversarial Imitation Learning, Applied Intelligence (APIN), Applied Intelligence, , Springer Nature, To appear.
  • Theocharis Kravaris, George Vouros Transferable Aircraft Trajectory Prediction with Generative Deep Imitation Learning, International Journal of Data Science and Analytics, Springer Nature, To appear.

II) Most Recent Publications in Conference Proceedings 

• • George A. Vouros George Papadopoulos, Alevizos Bastas Jose Manuel Cordero Garcia Ruben Rodrigez Rodrigez, 2022. Automating the Resolution of Flight Conflicts: Deep Reinforcement Learning in Service of Air Traffic Controllers, PAIS 2022, IOS PRess, 2022.

   

  • Apostolos Glenis, George Vouros, 2022. A SCALE-BOSS: A framework for scalable time-series classification using symbolic representations, SETN 2022.

   

  • George A. Vouros, Theodore Tranos, Konstantinos Blekas, Georgios Santipantakis, Marc Melgosa, Xavier Prats, 2022. Data-driven estimation of flights’ hidden parameters , SIDs 2022.

   

  • * Natividad Valle, M Florencia Lema, José Manuel Cordero, Enrique Iglesias , Rubén Rodríguez,  George A. Vouros, Theocharis Kravaris, George Papadopoulos, Alevizos Bastas, Georgios Santipantakis, 2022.   Explainability & Transparency in higher levels of automation in the ATM domain, SIDs 2022.

   

  •   Andreas Kontogiannis, George A. Vouros, 2023. Inherently Interpretable Deep Reinforcement Learning through Online Mimicking. EXTRAAMAS 23 @ AAMAS 2023.

   

  •  Antonio Gracia-Berna, Jose Manuel Cordero, Natividad Valle, Ruben Rodriguez, Gennady Andrienko, Natalia Andrienko, George Vouros, Ian Crook,Sandrine Molton, 2023. Framework for transparent, explainable and trustworthy automation in ATM, DASC 2023.

   

  • Georgios Santipantakis, Christos Doulkeridis, George Vouros, 2023. An Ontology for Representing and Querying Semantic Trajectories in the Maritime Domain. ADBIS 2023.

III) Recent books – Edited volumes 

 

• • George A. Vouros, Gennady L. Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, José Manuel Cordero Garcia, David Scarlatti:
    Big Data Analytics for Time-Critical Mobility Forecasting, From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains. Springer 2020, ISBN 978-3-030-45163-9
  • Doulkeridis C, Vouros GA, Qu Q, Wang S.  2018.  Mobility Analytics for Spatio-Temporal and Social Data – First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers. . 10731
  • Επιμέλεια της ελληνικής έκδοσης του τίτλου “SemanticWeb for The Working Ontologist” (D.Allemang, J.Hendler), διαθέσιμο ως διδακτικό υλικό σε περιορισμένο ακροατήριο
  • Rovatsos M, Vouros GA, Julián V.  2016.  Multi-Agent Systems and Agreement Technologies – 13th European Conference, EUMAS 2015, and Third International Conference, AT 2015. Lecture Notes in Computer Science . 9571
  • Vouros: GA, Bassiliades N, Bikakis A, Vrakas D, Vlahavas IP.  2016.  Proceedings of the 9th Hellenic Conference on Artificial Intelligence. ACM 2016.
  • Nick Bassiliades, Antonis Bikakis, Dimitris Vrakas, Ioannis P. Vlahavas, George A. Vouros: Proceedings of the 9th Hellenic Conference on Artificial Intelligence, SETN 2016, Thessaloniki, Greece, May 18-20, 2016. ACM 2016, ISBN 978-1-4503-3734-2
  • Michael Rovatsos, George A. Vouros, Vicente Julián: Multi-Agent Systems and Agreement Technologies – 13th European Conference, EUMAS 2015, and Third International Conference, AT 2015, Athens, Greece, December 17-18, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9571, Springer 2016, ISBN 978-3-319-33508-7
  • S.Ossowski,Editor,Vouros G,among the co-editors. 2012. Agreement TechnologiesCOST Action IC0801. Law, Governance and Technology Springer Series. Vol 8:645.

• Translation in Greek of  the “SemanticWeb for The Working Ontologist” (D.Allemang, J.Hendler) – DISIGMA
• Big Data Analytics for Time-Critical Mobility Forecasting, From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains
• Agreement Technologies. Law, Governance and Technology Springer Series. Vol 8:645.
• Διακριτά Μαθηματικά και Μαθηματική Λογική