List of Speakers
(in alphabetic order)
Ilker is a professor of AI & Optimization Techniques for Business & Society in University of Amsterdam (UvA), where he is a faculty member at the Business Analytics section of the Amsterdam Business School (ABS). In the past, he had served for three years as a professor of Data Science and Optimization at the Department of Econometrics of Erasmus University (EUR), and before EUR, he had been a professor of optimization at the Industrial Engineering Department of Sabancı University for more than a decade. His research interests center around optimization methods in artificial intelligence and decision making. Lately, he is interested in explainable optimization.
Paul is a researcher at INRIA, part of the VALDA project-team—a collaboration between INRIA Paris, École Normale Supérieure, and CNRS. Previously, he was a postdoctoral researcher at ENS Paris-Saclay (Centre Borelli). He earned his Ph.D. from the University of Paris and EDF R&D, and completed an internship at the University of Chicago. He holds bachelor’s and master’s degrees in computer science and applied mathematics from Grenoble INP ENSIMAG, and worked as a research engineer at Ecole Polytechnique. His research focuses on large-scale time series analytics, anomaly detection, and machine learning for time series.
Rommert is a (em) Professor of Operations Research, Quantitative Logistics, and IT at the Erasmus School of Economics. He currently leads an industry-sponsored research program on service logistics. He has received numerous accolades for his research including ERIM's impact award which honours ERIM researchers who have successfully impacted management practice and the OR Society's Goodeeve medal for best applied paper. He began his career working at Shell Research. During his seven years at the company he published over 100 papers on topics including reverse logistics, service logistics, inventory control, maintenance optimisation, container logistics and transport optimisation. He was also co-founder of the well-known network for reverse logistics REVLOG.
Michail earned his Ph.D. in Computer Science from the University of Clermont Auvergne, France, in 2023, and an M.Sc. from the University of Crete, Greece, in 2020. He also holds a B.Sc. in Informatics Engineering from the Technological Educational Institute of Crete, Greece (2017). Since 2017, he has worked as a research and teaching assistant and completed a Data Scientist internship at SAP, France, during his M.Sc. He is currently a postdoctoral researcher at the Signal Processing Laboratory, FORTH-ICS, focusing on signal processing and machine learning for analyzing scientific data. Michail has co-authored papers in journals and conferences like VLDB and Pattern Recognition and won a best paper award at VLDB for his work on online anomaly detectors.
Dimitris is a Professor of Computational Statistics – Time Series at the Department of Electrical and Computer Engineering of the Aristotle University of Thessaloniki. He previously held roles as Associate Professor at ECE (2013-2017), Assistant and Associate Professor at the Department of Mathematical, Physical, and Computational Sciences (2001-2013), and Lecturer at the University of Glasgow (2000-2001). He also worked as a PostDoc at the Max-Planck Institute for Physics of Complex Systems (1998-1999) and as an associate researcher at the State Center for Epilepsy in Norway (1997). Since 2019, he has directed the Informatics Lab at ECE and the Interdepartmental MSc in Biomedical Engineering (2021-2023).
Pavlos is a Professor of Computer Science at Université Paris Cité, where he leads the Distributed Artificial Intelligence (DAI) Group and directs the DAI Master's program. He served as Director of the LIPADE laboratory (2009–2019) and holds degrees including a Ph.D. and Habilitation in Artificial Intelligence from Paris Dauphine University. Before academia, he worked as a consulting engineer at Capgemini. His research focuses on intelligent agents, multi-agent systems, and computational argumentation. He has led and participated in several European and industrial projects, collaborating with companies like SingularLogic and THALES. Since 2019, he is co-founder and CEO of ARGUMENT THEORY, which develops rAIson, a no-code symbolic AI platform for automated decision-making. He has also held leadership roles in EURAMAS and co-founded the International Workshop Series on Argumentation in Multi-Agent Systems.
Themis is an elected Senior Fellow of the French University Institute (IUF), a distinction that recognizes excellence across all academic disciplines, and Distinguished Professor of computer science at Université Paris Cité (France), where he is director of the data management group, diNo, and was the founding director of the Data Intelligence Institute of Paris (diiP). He received the BS degree from the National Technical University of Athens, Greece, and the MSc and PhD degrees from the University of Toronto, Canada. He has previously held positions at the University of California at Riverside, University of Trento, and at IBM T.J. Watson Research Center, and visited Microsoft Research, and the IBM Almaden Research Center. His interests include problems related to data science (big data analytics and machine learning applications). He is the author of 15 patents. He is the recipient of 3 Best Paper awards, and the IBM Shared University Research (SUR) Award. His service includes the VLDB Endowment Board of Trustees (2018-2023), Editor-in-Chief for PVLDB Journal (2024-2025) and BDR Journal (2016-2021), PC Chair for IEEE BigData 2023 and ICDE 2023 Industry and Applications Track, General Chair for VLDB 2013, Associate Editor for the TKDE Journal (2014-2020), and Research PC Vice Chair for ICDE 2020.
Nikos is an Assistant Professor in the Department of Electronic Engineering at Hellenic Mediterranean University, also collaborating with the Technical University of Crete on research projects. He holds a Ph.D. in Computer Science – Artificial Intelligence from Paris Descartes University, a Master's in Organization and Administration from the Technical University of Crete, and a Diploma in Computer Engineering and Informatics from the University of Patras. His Ph.D. thesis, "The Agents Systems Engineering Methodology (ASEME)", introduced the Agent Modeling Language (AMOLA). His research interests include Agent-Oriented Software Engineering (AOSE), Knowledge Representation, Computational Argumentation, Model-Driven Engineering, and AI applications in fields such as Ambient Intelligence, e-commerce, finance, and Ambient Assisted Living, among others.
Satellite Events
Maria is a seasoned expert in innovation management, business development, and technology transfer, with a strong focus on digital health and health data utilization. She leads Business Development and Innovation Management at the Center for eHealth Applications and Services (CeHA) of FORTH-ICS, where she drives research commercialization, strategic partnerships, and funding acquisition. Her work centers on leveraging health data to develop digital health solutions. She co-founded Ypsilon Care Tech, a FORTH spin-off, and plays a key role in the flagship project PRECISEU, which helped establish Crete as a European Regional Innovation Valley. She is also part of the coordination team of smartHEALTH, the European Digital Innovation Hub supporting digital transformation in health. Previously, Maria headed FORTH’s Technology Transfer Office and served as a consultant in IP management, spin-off creation, and commercialization strategy. She led the creation of gnΩsi, Greece’s largest TTO network, and contributed to national initiatives such as the Hellenic Digital Health Cluster (HDHC), EKEPEK, and the EquiFund VC program. At the European level, she serves as Greece’s Ambassador in the RM Roadmap project and as National IPR Helpdesk Ambassador. She has held several roles as National Contact Point for EU Framework Programmes (Horizon 2020, Horizon Europe) and contributed to the Enterprise Europe Network’s Health and BioChemTech groups. Maria holds a PhD in Optical Neuroscience from the University of Manchester, an MSc in Optics and Vision, and a BSc in Physics from the University of Crete. She is certified as an AI Trainer and Innovation Assessor.
Greg is an Assistant Professor in the Computer Science Department at the University of Crete and an associate researcher at the Signal Processing Lab (SPL) of FORTH-ICS. He holds a BSc (2005) and MSc (2007) from the Technical University of Crete and a PhD (2011) from the Rochester Institute of Technology, USA. From 2019-2022, he was a Marie Skłodowska-Curie fellow at USC, working on the CALCHAS project with Prof. Mahta Moghaddam. His research interests include signal and image processing, machine learning, deep learning, compressed sensing, remote sensing, and astrophysics.