معرفی
Giovanni Bacci is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark. His primary affiliation is within The Technical Faculty of IT and Design, specifically the Distributed, Embedded and Intelligent Systems group, focusing on Artificial Intelligence and Machine Learning. He holds an ORCID identifier (0000-0001-8529-0681) and his contact information includes giovbacci@cs.aau.dk and a personal website.
His research interests center on probabilistic systems, formal methods, and stochastic models, with a focus on Markov chains, Markov decision processes, and bisimilarity distances. He has contributed to the development of tools like the BisimDist library and Jajapy, a learning library for stochastic models.
Bacci has received notable awards, including the Best Paper Award at QEST 2018 and Teacher of the Year 2022/2023 for the Faculty of IT and Design. His work spans theoretical foundations and practical applications, such as optimizing membrane desalination processes via reinforcement learning (2023-2024 project).
Key publications include studies on dissimilarity in linear dynamical systems, parameter estimation in continuous-time Markov chains, and active learning of MDPs using Baum-Welch algorithms. His research often bridges theoretical computer science and real-world engineering challenges.
