François Baccelli is an expert of stochastic network theory and communication network modeling. His research focuses on the interface of applied mathematics with communications, information theory and network sciences.
Baccelli is co-author of several influential research monographs on: point processes and queues (with P. Brémaud); max plus algebra — algebraic theory for network dynamics (with G. Cohen, G. Olsder and J.P. Quadrat); stationary queuing networks (with P. Brémaud); and stochastic geometry of wireless networks (with B. Blaszczyszyn).
Outside of the academic setting, Baccelli has worked on projects ranging from research on access networks with French telecommunications company Alcatel, investigating network inference with Sprint Corporation in the U.S.
Baccelli received his Doctorat d’Etat from the Université de Paris-Sud in 1983, where he wrote his thesis on probabilistic models for distributed systems. Before joining University of Texas at Austin, Baccelli’s research focused on network theory at Institut National de Recherche en Informatique et Automatique (INRIA) in Paris. He also held an academic appointment in computer science at Ecole Normale Supérieure in Paris.
Prior to that, he served as head of the computer and network performance evaluation research group at INRIA Sophia Antipolis and was professor of applied mathematics at the Ecole Polytechnique. He has held visiting positions at the University of Maryland, Bell Laboratory’s mathematics center, Stanford University, Eindhoven University as a Eurandom Chair, Heriot Watt University as an Honorary Professor, University of California, Berkeley as a Miller Professor, and the Isaac Newton Institute at the University of Cambridge, where he co-organized the 2010 program on Stochastic Processes and Communication Sciences. In 2005, Baccelli was elected as a member of the French Academy of Sciences.
In taking up the Simons Chair in Mathematics and Electrical and Computer Engineering at the University of Texas at Austin, François Baccelli has worked to develop the new, interdisciplinary Simons Center on Communication, Information and Network Mathematics.