Marco Montali is Full Professor of Computer Engineering in the Faculty of Engineering at the Free University of Bozen–Bolzano, Italy, where he also serves as vice-dean for studies and as coordinator of the BSc programme in Informatics and Management of Digital Business. His research lies at the intersection of artificial intelligence, information systems and process science, with a focus on the modelling, analysis, and mining of processes and agents. A unifying theme of his work is the combination of model-driven and data-driven techniques to engineer trustworthy and reliable information systems and agents, with particular attention to their dynamic behaviour over time. He has served/will serve as PC Chair of BPM 2018, RuleML+RR 2019, ICPM 2020, CBI 2021, and PETRI NETS 2027, and as General Chair of ICPM 2022, EDOC 2022, and AIxIA 2024. He also served for three years as a member of the steering committee of the IEEE task force on process mining. He is co-author of more than 300 publications and recipient of 10 Best Paper Awards and 2 Test-of-Time Awards. Since 2025, he has been an EurAI Fellow, a distinction recognising exceptional scientific achievements in artificial intelligence and awarded to at most 3% of the members of European AI associations

Massimiliano Mancini is an Assistant Professor (RTDb) in the Department of Information Engineering and Computer Science at the University of Trento. He received his Ph.D. from Sapienza University of Rome and was a postdoc at the Cluster of Excellence in Machine Learning, University of Tübingen. He regularly serves as area chair for top venues in machine learning and computer vision (NeurIPS, CVPR,  ECCV, ICRA), and is associate editor for CVIU, TMLR, and IEEE RA-L. He has been recognized with the ICRA CEB award in 2024 and with the RomeCup award in 2026. His research focuses on compositional learning and trustworthiness for large multimodal foundation models.

Sarit Kraus is a Professor of Computer Science and Artificial Intelligence at Bar-Ilan University. Her research is focused on intelligent agents and multi-agent systems integrating machine-learning techniques (including LLMs) with optimization and game theory methods. In particular, she studies the development of intelligent agents that can interact proficiently with people and with robots. She has also contributed to the research on machine learning, XAI, agent optimization, robustness, autonomous vehicles, homeland security, adversarial patrolling, social networks and nonmonotonic reasoning. For her work, she received many prestigious awards. She was awarded the IJCAI Computers and Thought Award, the IJCAI Research Excellent Award, the ACM SIGART Agents Research Award, the ACM Athena Lecturer, the EMET prize, and was twice the winner of the IFAAMAS influential paper award and the AIJ Classic Paper Award. She is an ACM, AAAI and EurAI fellow and a recipient of the advanced ERC grant. 

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