Massimo FranceschettiAssoc Professor, Electrical and Computer Engineering Faculty-Affiliate, Calit2 Information science of complex networks and systems: Random networks, phase transitions and critical phenomena, wave propagation in random media, wireless communication, control systems with information loss, algorithms and protocols. Applications in the areas of wireless ad-hoc and sensor networks Professor Franceschetti's recent research has deepened the understanding of key mechanisms underlying how large-scale distributed systems, including wireless networks, handle, process, and communicate information. Examples of such systems include small, networked, application-specific wireless sensors that could monitor everything from battlefield conditions to the environment, from hospitalized patients to bridges structural integrity. Such pervasive networking is expected to lead to massive changes in the way we interact with the world, and Franceschetti's papers in this area span a continuum from algorithms, models of wave propagation, network analysis and design, information theoretic limits, and control technologies. One of his key contributions is in the application of tools from statistical physics, namely percolation theory, to analyze and explain observable phenomena such as scaling laws. He also has applied random walk theory to describe wireless signal propagation and its interaction with the environment.
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