There is strong trend in nowadays research on advanced engineering systems to endow the systems with self-organizing, self-healing capabilities. This poses great challenges to the research on decentralized systems, but at the same it offers great potentials for future developments, especially in view of the current trends in nano-technologies. In this context, biological systems offer many examples of self-organization, as testified for example by swarming, self-synchronization and so on. It is then of great interest to derive mathematical models of biological systems with the goal of devising innovative design tools for engineers. Signal processing can play a big role in this cross-fertilization operation, as it can help to find out manageable mathematical models, study their behavior and test the performance in the presence of realistic disturbances. The challenge is to establish a cross-fertilization of ideas from biological to artificial systems, as well as to help better understanding biological systems as such. The aim of this talk is to review some of the mathematical models underlying simple biological systems and to show some examples of adaptation of these models to solve engineering problems, such as decentralized sensing and resource allocation in cognitive radios.
Sergio Barbarossa received the M.Sc. and the Ph.D. in electrical engineering from the University of Rome ``La Sapienza'', Rome, Italy, where he is now a full professor.
He has held positions as research engineer at Selenia SpA (1984-86), at the Environmental Institute of Michigan (1988) and visiting professor at the University of Virginia (1995 and 1997), the University of Minnesota (1999), and he has taught short graduated courses at the Polytechnic University of Catalonia (2001 and 2009). He has been the principal investigator in several international projects funded by the European Union. He has been the scientific coordinator of the European Project WINSOC, on wireless sensor networks, and he is the scientific coordinator of the European Project FREEDOM, on femtocell networks.
He is currently involved in the European Project SIMTISYS, on the monitoring of maritime traffic from constellations of satellites and in the design of the radar system to be used for the landing module of ExoMars, a spacecraft to be launched by the European Space Agency to land on Mars.
He has been a member of the IEEE Signal Processing for Communications Technical Committee (1998-2004) and he served as an Associate Editor of the IEEE Transactions on Signal Processing (1998-2001 and 2004-2006). He has been a plenary speaker at SAM 2008 and SPAWC 2009 and a tutorial speaker at EUSIPCO 2011.
He has co-edited a special issue of the IEEE Journal on Selected Areas in Communications on Optimization of MIMO Transceivers for Realistic Communication Networks: Challenges and Opportunities and a special issue of the EURASIP Journal of Applied Signal Processing on MIMO Communications and Signal Processing. He received the 2000 IEEE Best Paper Award from the IEEE Signal Processing Society and the 2010 EURASIP Technical Achievements Award for his contributions on radar, communications and networks. He is an IEEE Fellow. He is the author of a research monograph titled ``Multiantenna Wireless Communication Systems.'' His h-index is 38. His current research interests lie in the areas of cognitive and femtocell networks, bio-inspired signal processing, sensor networks, cooperative communications, and distributed decision.