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Massimo Franceschetti is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. His research spans several domains including continuum algorithms, wave propagation models, network analysis and design, and control technologies. He has made significant contributions to statistical physics, notably in percolation theory, and has applied random walk theory to describe wireless signal propagation in relation to environmental interactions. Franceschetti's recent work focuses on dynamical systems involving agents interacting in networks, including rigorous solutions related to social segregation models. His extensive research into the online behaviors of users, particularly regarding emotional responses to social network dynamics, relies on data from millions of users and has utilized a novel non-invasive technique. His interests further encompass the intersection of electromagnetic and information theories, as illustrated in his book 'Wave Theory Information,' published by Cambridge University Press in 2018. Franceschetti has been recognized with numerous awards such as the S.A. Schelkunoff Transactions Prize Paper Award from the IEEE Antennas and Propagation Society and the IEEE Communications Society Tutorial Paper Award, alongside being elected a Fellow of IEEE in 2018.
University of California, San Diego • La Jolla, CA
Joined the faculty of the Department of Electrical and Computer Engineering.
University of California, Berkeley • Berkeley, CA
Conducted research in the Department of Electrical Engineering and Computer Science.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).