Dr. Jim Dai 2018 ACM SIGMETRICS Achievement Award
ACM SIGMETRICS is pleased to announce the selection of Dr. Jim Dai
of Cornell University as the recipient of the 2018 ACM SIGMETRICS Achievement
Award in recognition of his influential contributions to the fluid and diffusion
analysis of queueing networks with applications to computer, communication, and
processing systems.
Dr. Dai received his Ph.D. from the Department of Mathematics at Stanford University.
He joined Cornell University in 2012 as a professor in the School of Operations
Research and Information Engineering (ORIE). Prior to joining Cornell, he held the
Chandler Family Chair of Industrial and Systems Engineering at Georgia Institute
of Technology, where he was a faculty member from 1990 to 2012. He is a Special
Term Professor at Tsinghua University. He was a James Riady Distinguished Visiting
Professor in Decision Sciences at National University of Singapore (May 2009-Apr 2011),
a visiting professor at Aarhus University (Oct 1998-Dec 1998) and Stanford University
(Dec 1998-June 1999), and a visiting assistant professor at University of
Wisconsin-Madison (Aug 1991-Dec 1991).
Jim Dai studies applied probability models for efficient resource allocations in
service systems such as customer contact centers, data centers, hospital patient
flow management, airline yield management, and ride-sharing networks. Much of his
research is motivated by the challenge of efficiently managing a finite capacity
system facing a time-varying, uncertain load. He developed the theory of fluid
and diffusion limits to study the stability and the control of processing networks.
Dr. Dai has received numerous awards for his work over the years. He is a Fellow of
the Institute of Mathematical Statistics and of the Institute for Operations
Research and the Management Sciences (INFORMS). He received the Best Publication
Award and the Erlang Prize from the Applied Probability Section of INFORMS, the
IBM Faculty Award, and he gave the Markov Lecture at INFORMS.
Additional information is available on his website: https://people.orie.cornell.edu/jdai/.