Posts Tagged ‘INFORMS’
Professor Candi Yano wins INFORMS Kimball Medal
Professor Candi Yano was awarded the INFORMS George E. Kimball Medal in recognition of distinguished service to the Institute and to the profession of operations research and the management sciences. The award is a medallion and a certificate. INFORMS, or otherwise known as the Institute for Operations Research and the Management Sciences, is a organization…
Read MoreMax Z. Shen awarded as a 2018 INFORMS Fellow
IEOR Professor Max Shen has been named a 2018 INFORMS Fellow. INFORMS Fellows Awards are announced once per year, and are reserved for researchers that exemplify outstanding lifetime achievement in operations research and management sciences or have demonstrated exceptional accomplishments or significant contributions to the advancement of operations research and/or management sciences over time. Prof. Shen…
Read MoreProf. Oren Video Interview With INFORMS History And Traditions
IEOR Professor Shmuel Oren was recently interviewed by Dr. Ramteen Sioshanshi, professor of integrated systems engineering at The Ohio State University, presented by INFORMS as part of the History and Traditions series.
Read MoreIEOR Alum Mauricio G. C. Resende Chosen As INFORMS Fellow For Class Of 2016
IEOR Alum Mauricio G. C. Resende Chosen As INFORMS Fellow For Class Of 2016 Eugene Pang November 7, 2016 Mauricio G. C. Resende was chosen to be a 2016 INFORMS fellow. Resende received his PhD in Operations Research (’87) at the University of California Berkeley. Currently, he works as a principle research scientist for Amazon.com, Inc. According to…
Read MoreProfessor Alper Atamturk Delivers Keynote At INFORMS
Professor Alper Atamturk was a speaker at the annual INFORMS conference held this year in Philadelphia from November 1-4. At the conference, Alper delivered his keynote titled “Conic Integer Optimization” (abstract below). Conic Integer Optimization In the last 25 years we have experienced significant advances in conic optimization. Polynomial interior point algorithms that have earlier been developed for linear optimization…
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