Ivan Serina is  associate professor in Information Processing Systems at the  Dept. of Information Engineering of the University of Brescia, Italy. In 1995 he received his degree in Computer Science at the University of Milan with full marks and honours. Since 1997 he has been a member of the Artificial Intelligence Research Group at the University of Brescia, headed by Professor Alfonso Gerevini, working on various topics such as Plan Generation and Adaptation through Local and Systematic Search Techniques. In 2000 he  received his PhD degree in Computer Science Engineering at the University of Brescia and in 2003 he has received a Marie Curie Fellowship in the field of Planning and Scheduling at the Department of Computer and Information Sciences of the University of Strathclyde (Glasgow). He worked at the Faculty of Education of the Free University of Bozen-Bolzano from 2008 to 2012.
He participated in the 3rd International Planning Competition (2002) with LPG, a planner developed with Professor Alfonso Gerevini that was awarded for "Distinguished performance of the first order"; he participated in the 4th International Planning Competition (2004) with LPG-td, a planner developed with Professor Alfonso Gerevini and Ing. Alessandro Saetti that was awarded for its performance in temporal and numeric domains.  He was Senior Member of the Program Committee of IJCAI-11 (International Joint Conference on Artificial Intelligence) and Co-chair with  Neil Yorke-Smith (American University of Beirut, Lebanon and SRI International, USA) of the ICAPS-2010 Exhibits and Demonstrations Session and with Marco Maratea of RCRA17.  Currently, he is Associate Editor of AI Communications and Member of the Program Committees of AAAI 2021, ICAPS 2020  and co-chair of IPS2020 and SOCS2021. Ivan Serina is author or co-author of  more than 60  published reviewed papers in various fields of Artificial Intelligence.

Research interests: Planning,  Artificial Intelligence, Case-Based Planning, Autonomous Agents, Machine Learning, Deep Learning, Neural Networks, Knowledge Representation, Knowledge-based systems, E-Learning, Learning Objects, Operating Systems.

Academic curriculum (in Italian)

Theses (in Italian only)

Main software developed:

• INNE: an Interactive Neural Network Environment (University of Milano- Italy).

• LPG: a fast planner based on local searchtechniques and planning graphs (University of Brescia - Italy).  Bib entry.
   
• LPG-adapt (1999 and 2006-07), a variant of LPG forfast adaptation/revision of a given plan (University of Brescia - Italy). Bib entry.
  
  
• ADJ (2000 and 2008-09), another planning system for fast plan adaptation based on planning graphs, replanning windows andheuristic goals (University of Brescia - Italy). Bib entry.
  
  
• LPG-diff, a variant of LPG for producingdiverse set of plans satisfying the same goals (Arizona State University, NASA Ames Research Center, University of Brescia). Bib entry.
  

• OAKplan: Objects Assignment Kernelcase-based planner (Free University of Bozen-Bolzano & University of Brescia - Italy). Bib entry.  
  

• myPtutor: joint work to take advantage of Artificial Intelligence planning techniques in the adaptation of sequences of Learning Objects to pedagogical andstudents' requirements (Universitat Politècnica de València).  Bib entry.
  
  
• bfws: Best-First Width Search for Multi Agent Privacy-Preserving Planning (University of Brescia - Italy; University of Melbourne- Austalia). Bib entry.
  

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