Angelo Oddi is a research scientist at the Institute of Cognitive Science and
Technology of the Italian National Research Council (ISTC-CNR).  He received
his Master Degree in Electronic Engineering from University of Rome ``La
Sapienza'' in 1993 and his PhD in Medical Computer Science from the same
university in 1997.  He has been visiting scholar at the Intelligent
Coordination and Logistics Laboratory of the Robotics Institute at Carnegie
Mellon University in 1995-6.  His work focuses on the application of
Artificial Intelligence techniques for scheduling, automated planning and
constraint reasoning.  In particular, he has proposed several algorithms for
temporal reasoning and developed both local search and randomized approaches
for schedule optimization.  Regarding his professional activities, he has
published more than 40 papers, both in journals and in proceedings of
international conferences, and has a wide experience in the design of
intelligent systems for real world applications.  In particular, he has been
involved in several projects financed by the Italian and European Space
Agencies (ASI/ESA) concerning the development of intelligent mission planning
support software.