Faculty Spotlight: ISyE’s David Goldberg Appointed to the A. Russell Chandler III Assistant Professorship

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Shelley Wunder-Smith

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Stewart School of Industrial & Systems Engineering

404.385.4745

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Faculty Spotlight: ISyE’s David Goldberg has been appointed to the A. Russell Chandler III Assistant Professorship.

Full Summary:

Georgia Tech’s Stewart School of Industrial & Systems Engineering (ISyE) announced that Assistant Professor David Goldberg has been appointed to the A. Russell Chandler III Assistant Professorship within the school, beginning on February 15, 2016. 

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  • ISyE's A. Russell Chandler III Assistant Professor David Goldberg ISyE's A. Russell Chandler III Assistant Professor David Goldberg
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Georgia Tech’s Stewart School of Industrial & Systems Engineering (ISyE) announced that Assistant Professor David Goldberg has been appointed to the A. Russell Chandler III Assistant Professorship within the school, beginning on February 15, 2016. 

About Goldberg’s appointment, ISyE’s H. Milton and Carolyn J. Stewart School Chair and Professor Edwin Romeijn said, “Dave was selected for this professorship because of his exceptional record of scholarship and service to ISyE, and his leadership in the areas of applied probability, stochastics, and machine learning.”

About A. Russell Chandler III Assistant Professor David Goldberg

Goldberg works in applied probability, interpreted broadly, on topics ranging from inventory control and queueing theory to distributionally robust and combinatorial optimization. Much of his work focuses on using ideas from probability theory to prove that high-dimensional complex systems can be well-approximated by much simpler systems, and using these insights to devise novel algorithms with provable performance guarantees. His work in inventory control has focused on applying this mantra to challenging problems in which there is a lead-time delay between when an order is placed and when it is received, such as lost sales models and dual-sourcing problems, for which Goldberg has derived some of the first nearly optimal efficient algorithms. His work in queueing theory has focused on the so-called stochastic comparison approach to multi-server queues, in which one proves that certain performance metrics (such as the probability of rare events) can be bounded above and below by those of more tractable models. He has also investigated robust approaches to optimizing inventory models with demand forecasting, as well as certain questions regarding the independent sets of large graphs.

He has received several honors for his work, including an NSF CAREER award, first place in the 2015 George Nicholson Student Paper Competition, second place in the 2015 JFIG Paper Competition, as well as finalist in the 2014 MSOM Student Paper Competition and 2010 George Nicholson Student Paper Competition.

Goldberg received his undergraduate degree in computer science at Columbia University, minoring in both industrial engineering/operations research and applied math. He completed his Ph.D. at the MIT Operations Research Center.

He is a member of INFORMS.

Additional Information

Groups

School of Industrial and Systems Engineering (ISYE)

Categories
Institute and Campus, Engineering
Related Core Research Areas
Systems
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Keywords
David Goldberg, isye
Status
  • Created By: Shelley Wunder-Smith
  • Workflow Status: Published
  • Created On: Jan 21, 2016 - 6:19am
  • Last Updated: Oct 7, 2016 - 11:20pm