Angelo Oddi

Angelo Oddi [M.S. Electronic Engineering 1993, Ph.D. Medical Computer Science 1997] is a researcher of the Institute of Cognitive Science and Technology of the Italian National Research Council (ISTC-CNR) since 2001. He has been visiting scholar at Carnegie Mellon University, Pittsburgh (US) in 1995-6. His work focuses on the application of Artificial Intelligence (AI) techniques for scheduling, automated planning and constraint-based reasoning. In particular, he has worked on several algorithms for temporal reasoning and developed both local search and randomized approaches for schedule optimization. He has published more than 60 papers, both in journals, book and peer-reviewed international AI conferences. Dr. Oddi has been in the program committee of several international conferences, including the International Conference on Automated Planning and Scheduling (ICAPS), the European AI Conference (ECAI), the national conference of the Association for the Advancement of Artificial Intelligence (AAAI), and the International Joint Conference on AI (IJCAI). He has been Conference Chair of the International Conference on Automated Planning and Scheduling 2013 (ICAPS-2013), Rome, June 10-14, 2013. He has a vast experience in the design of intelligent and autonomous systems for real-world applications. He participated in several national and international projects; in particular, he was involved in the realization of the MEXAR2 and RAXEM systems for the European Space Agency (ESA). Relatively the MEXAR2 system (still operating within the Mars-Express mission) he acted as technical director and is still responsible for its maintenance. He was national coordinator of the FIRB VISEL project (MIUR – Ministry of Education University and Research – funds). The VISEL project aimed at creating an e-learning environment to promote the autonomous use of written language for both deaf young people and adults.