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 Professor Jim Dai wins 2018 ACM SIGMETRICS Achievement Award

  • 2018.07.03
  • News
The 2018 ACM SIGMETRICS Achievement Award is given to Jim Dai for his fundamental contributions to the analysis of the stability of queueing network with applications to computer and communication systems. 

The 2018 ACM SIGMETRICS Achievement Award is given to Jim Dai for his fundamental contributions to the analysis of the stability of queueing network with applications to computer and communication systems. 

 

The ACM SIGMETRICS Achievement Award is presented annually to an individual who has made long-lasting, influential contributions to the analysis and evaluation of computer/ communication system performance. 

 

The contributions may be theoretical advances that have influenced the techniques used to predict, control and optimize the performance of computer/ communication systems, practical procedures or software tools that have been used widely to manage system performance, or innovative applications of performance evaluation models that have impacted the design of computer/communication systems. 

 

The SIGMETRICS Achievement Award recipient is selected by an Awards Committee comprised of five individuals appointed by the SIGMETRICS EXECUTIVE COMMITTEE. In selecting the achievement award recipient, the

Awards Committee will place particular emphasis on seminal contributions and a sustained record of high- impact in the field.

(https://www.sigmetrics.org/awards.shtml)

 

Jim Dai delivered the 2018 SIGMETRICS Achievement Award Lecture on June 19th, 2018.

 

     Professor  Jim Dai

     

Jim Dai holds a Presidential Chair at The Chinese University of Hong Kong, Shenzhen, co-directing the Institute for Data and Decision Analytics (iDDA). 

 

He is currently on leave from Cornell University, where he is the Leon C. Welch Professor of Engineering in the School of Operations Research and Information Engineering (ORIE). 

 

Prior to joining Cornell in 2012, 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. 

 

Dai studies applied probability models for efficient resource allocations in processing networks that model service systems such as customer contact centers, data centers, hospital patient flow management, airline yield management, and ridesharing networks.
 

Dai received his BA and MA in mathematics from Nanjing University and his PhD in mathematics from Stanford. He is an elected fellow of Institute of Mathematical Statistics and an elected fellow of Institute for Operations Research and the Management Sciences (INFORMS). 

 

He received the Erlang Prize in 1998 from the Applied Probability Society (APS) of INFORMS. He also received two Best Publication Awards from APS, one in 1997 and one in 2017. Dai has been the Editor-In-Chief of Mathematics of Operations Research since 2013.