Professor of Service Engineering, Operations-Research and Statistics
Faculty of Data and Decision Sciences (formerly Industrial Engineering and Management), Technion, Israel
Avishai Mandelbaum is a Professor (emeritus) at the The Faculty of Data and Decision Sciences, Technion, Israel. He has a B.Sc. in Mathematics and Computer Science and an M.A. in Statistics, both summa cum laude from Tel Aviv University. His Ph.D. is in Operations Research, from Cornell University.
After graduation, in 1983, he joined the Graduate School of Business at Stanford University. He then returned to Israel, in 1991, to assume a position at the Technion. He served as IE&M Dean during 2015-2018.
Prof. Mandelbaum is a fellow of INFORMS and MSOM. He was an associate editor of the leading journals in his field, and his research and teaching have enjoyed various prizes, within Technion and beyond. His research covers stochastic models (analysis, asymptotics, control) and statistics, with applications to queueing theory/science and service systems (e.g. tele‐services, hospitals).
Prof. Mandelbaum is a cofounder of the Technion SEE Laboratory. Since its inception in 2007, this lab has been collecting and maintaining a unique rich repository of data from ample service operations. Data granularity is at the level of the individual customer‐server transactions (event logs). And through its data, the SEELab has been supporting worldwide research and teaching of Service Science, Engineering and Management.
Dynkin, E.B. and Mandelbaum, A., Symmetric Statistics, Poisson Point Processes and Multiple Wiener Integrals, The Annals of Statistics, 11, 739–745, September 1983.
Kaspi, H. and Mandelbaum, A., Multi-armed Bandits in Discrete and Continuous Time, The Annals of Applied Probability, 8, 1270–1290, November 1998.
Mandelbaum, A. and Stolyar, A., Gcm Scheduling of Flexible Servers: Asymptotic Optimality in Heavy Traffic, Allerton summary of the full OR version, 2004.
Momcilovic, P., Mandelbaum, A., Carmeli, N., Armony, M. and Yom-Tov, G., Resource-driven activity-networks (RANs): A modelling framework for complex operations, 2022-2025.
Huang, J., Mandelbaum, A. and Momcilovic, P., QED Appointments, May 2025.
Mandelbaum, A., Shepp, L.A. and Vanderbei, R.J., Optimal Switching Between a Pair of Brownian Motions, The Annals of Probability, 18, 1010–1033, July 1990.
Mandelbaum A., Massey W.A., and Reiman M., Strong Approximations for Markovian Service Networks, Queueing Systems: Theory and Applications (QUESTA), 30, 149-201, November 1998.
Ingolfsson A., Mandelbaum A., Schultz K. and Yom-Tov G., Preface to the Special Issue on Behavioral Queueing Science: The Need for a Multidisciplinary Approach, Operations Research, 71 (3), 791-797, May-June 2023.
