Alessandro Saetti is associate professor (professore) in Information Processing Systems at the Dept. of Information Engineering of the University of Brescia, Italy. He has been working at the University of Brescia since 2002: from 2002 to 2005 was a Ph.D. student, from 2006 to 2008 a Postdoctoral Researcher, from 2008 to 2016 an assistant professor and since 2016 he has been associate professor.

He was a program committee member or served as a reviewer of many international workshops, conferences and journals. He co-organized the classical track of IPC-5 (The Fifth International Planning Competition), and AI*IA 2010 (The 11th Symposium of the Italian Association for the Artificial Intelligence); he was also co-chair of PlanSig 2010 (The 28th Workshop of the UK Planning and Scheduling Special Interest Group) and 1st AI*IA Doctoral Consortium; currently, he is a PC-member of IJCAI-19 (The 28th International Joint Conference on Artificial Intelligence), ICAPS-19 (The 29th International Conference on Automated Planning and Scheduling), SOCS-19 (The 12th AAAI Symposium on Combinatorial Search), and AAAI-19 (The 33rd AAAI Conference on Artificial Intelligence).

He is author or co-author of more than 70 reviewed papers in various fields of Artificial Intelligence, which have been published in international journals (including "Artificial Intelligence" and "Journal of Artificial Intelligence Research") and conferences (including CP, ECAI, IJCAI, ICAPS, AAAI, SOCS). Most of his scientific work concerns the following aspects: design and analysis of languages for knowledge representation and automated reasoning, computational complexity analysis, development of efficient algorithmic techniques and data structures, implementation of innovative software systems and experimental analysis of the proposed algorithmic techniques. The software systems that he developed, LPG, LPG-td, PbP.s and PbP2.q have been awarderd at several editions of the Internation Planning Competition (IPC), which is an important scientific event organized in the context of the International Conference on Planning and Scheduling (ICAPS).

His research interests focus on temporal reasoning, constraint-based reasoning, anytime planning, machine learning for planning, mixed-initiative planning, plan execution, monitoring and repair, planning with resources and time constraints and HTN-planning.

Alessandro Saetti, August 2019