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Professor of Applied Probability and Queueing Theory at the University of Amsterdam

Research

Michel Mandjes received M.Sc. degrees in mathematics and econometrics, and a Ph.D. degree in operations research from the Free University of Amsterdam (The Netherlands), in 1993 and 1996, respectively. After having been a Member of Technical Staff with KPN Research (The Netherlands) and Bell Laboratories (Murray Hill, NJ, USA), a full professor in stochastic operations research with the University of Twente (The Netherlands), and a department head at CWI (Amsterdam, The Netherlands), he currently has full professor positions in probability and operations research at the universities of Leiden and Amsterdam. 

Michel is also affiliated as an advisor with EURANDOM, Eindhoven (The Netherlands). He was a visiting professor with Stanford University, New York University, and Columbia University. Since 2015 he is affiliated with the University of Amsterdam's Institute for Advanced Study (IAS). He is main applicant and project leader of the research programme NETWORKS, in the framework of the prestigious Dutch Gravitation call. 

His main research interests include stochastic processes, queueing processes, efficient simulation techniques, and the probabilistic analysis of networks. He has an interest in a broad range of applications, primarily in transportation and communication networks, but in addition in sociology, healthcare, actuarial science, and biology.  

He is the author of three books: the single-authored book "Large Deviations for Gaussian Queues: Modelling Communication Networks", and the coauthored books "Queues and Levy Fluctuation Theory" and "The Cramér-Lundberg model and its variants". He has published over 350 papers in journals and conferences proceedings. 

He was the Program Chair of several leading conferences, such as "INFORMS Applied Probability" and "Stochastic Networks". He is the Editor-in-Chief of "Queueing Systems" and serves on the editorial board of multiple other journals, such as "Stochastic Systems" and "Journal of Applied Probability".