Prof. Avishai Mandelbaum

Operations Research and Optimization|*|Statistics


Avishai Mandelbaum is a professor and the serving dean of the Faculty of Industrial Engineering and Management, Technion, Israel. He holds the Benjamin & Florence Free chair in Operations Research, Statistics and Service Engineering. 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 left the U.S.A., in 1991, to assume a position at the Technion.

Prof. Mandelbaum is an INFORMS fellow. He was an associate editor of the leading journals in his field, for example Mathematics of Operations Research, Management Science and Queueing Systems. He created the function and has been serving, over many years, as the faculty adviser for IE&M outstanding students. His research and teaching have enjoyed various prizes, in particular the Yanai Prize for Academic Excellence at the Technion. His research has covered stochastic models (analysis, asymptotics, control) and statistics, with applications to queueing theory/science and service systems (e.g. tele-services, hospitals).

Prof. Mandelbaum is the founder and director of the Technion SEE Laboratory. This lab, created in 2007, has been collecting and maintaining a unique rich repository of data from service operations, mainly telephone call centers and hospitals. Data granularity is at the level of the individual customer-server transaction (event logs). And through its data, the SEELab has been supporting worldwide research and teaching of Service and Data Science, Engineering and Management.


General : Probability, Stochastic Processes, Operations Research, Operations Management,
Service Engineering and Management, Healthcare Operations, Statistics, Control;
Undergraduate: Probability, Stochastic Processes, Statistics, Service Operations, Queueing
Theory and Practice; Service Engineering and Management;
PhD : Probability and Stochastic Processes - foundations, modelling, stochastic calculus; Dynamic
Programming, Stochastic Control; Queueing, Fluid and Di usion Networks; Linear Complementarity;
Service Networks;
MBA : MIS/DSS, Computer Implementations of Mathematical Models, Linear and Integer
Programming, Simulation, Production and Operations Management - cases and theory.
Service Engineering: Developed and taught a unique course to a wide audience
(undergraduates, graduates), applying up-to-date research tools and real-world data.
Course material available in
Course described in


Operations Research, Statistics and Service Engineering
Stochastic processes, queuing theory, service enterprise engineering applications
Service Enterprise Engineering Laboratory, Statistics Laboratory

Contact Info

Room 416 Bloomfield Building