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Conferences

  • SIGMETRICS is the flagship conference of the SIGMETRICS community.
  • Performance is the flagship conference of IFIP WG 7.3 and occurs jointly with SIGMETRICS once every three years.
  • IMC is at the intersection between SIGCOMM and SIGMETRICS, focusing on Internet measurement.
  • SenSys focuses on the design, implementation, and application of sensor networks.
  • Greenmetrics is a high-profile workshop that focuses on both designing sustainable ICT systems and using ICT to improve sustainability. Greenmetrics is returning in 2016 in conjunction with SIGMETRICS 2016.
  • MAMA is a high profile workshop that focuses on mathematical performance modeling tools.
  • ValueTools bridges the study of performance methodologies and the development of tools for performance evaluation.
  • ICPE (formerly WOSP) focuses on the intersection of software design and performance evaluation.

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/.

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