Planning the path: an aviation perspective
Prof. George Vouros (University of Piraeus, Greece)
Abstract
This talk will focus on exploiting mobility data to resolve trajectory planning problems in the aviation domain. First, will present aviation data sources and explain domain-specific terminology, operational concerns, and problems, and will focus on two major issues: Planning trajectories using a data-driven approach through imitation learning, revealing airspace users’ preferences, and resolving demand-capacity problems in utilizing airspace resources via multiagent reinforcement learning. The talk will share a broader perspective on the topic and will explain state-of-the-art imitation learning and reinforcement learning methods used. Finally, it will present challenging issues towards planning “paths” to address complex and safety-critical problems in the aviation domain.
Short bio
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 served as Dept. Head and Prof in the University of the Aegean (Dept. of Information and Communication Systems Eng.), as Dean of School of Sciences in the same University, while previous to that he had more than 10 years collaboration with the Inst. Of Informatics and Telecommunications of NCSR “Demokritos” (Skel Lab). He has done research in the areas of Expert Systems (has developed 4 successful systems in critical and complex domains during 1990-1997), Knowledge Management, Collaborative Systems, Ontologies (engineering, alignment of, learning and population, extracting modules from, decentralized reasoning with), Agents and Multi-Agent Systems (focusing on organizations and adaptation, information sharing), Reinforcement Learning in Multi-Agent complex settings (e.g. in the aviation domain).
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 a 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.
He recently coordinated the successful DART project (SESAR project) towards data-driven trajectory prediction in the Air Traffic Management domain, and coordinates the datACRON Big Data project (H2020 ICT-16) and he is responsible for two ENGAGE projects in the aviation domain regarding trajectory planning.
Further details concerning his work can be found in http://ai-group.ds.unipi.gr/georgev/
