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Seminar Series

Each semester the Department of Industrial Engineering hosts a seminar series to educate our students, faculty, alumni, and partners. The department invites guest presenters from prominent industrial engineering programs as well as features the research of our own faculty and students.

Seminar Series - Spring 2017

Industrial Engineering Distinguished Researcher Seminar Series
Date  Time Location Speaker
April 27 2:00 - 2:45 p.m. 128 Freeman Hall Dr. Georgia-Ann Klutke
Program Director for the Operations Program

National Science Foundation

Title: Navigating NSF:  Funding Opportunities for Industrial Engineering and Operations Research

Abstract: The National Science Foundation offers a number of funding opportunities for investigators working in the field of industrial engineering and operations research, both within the disciplinary programs in Engineering and other directorates, and through cross-cutting initiatives that are foundation-wide.  This presentation will describe opportunities that are relevant to the Industrial and Operations Engineering communities, with particular emphasis on the Operations Engineering program in the Division of Civil, Mechanical, and Manufacturing Innovation.  For those not familiar with NSF, opportunities for junior investigators and an introduction to the merit review process will also be described. View Full Abstract & Bio »

Operations Research (OR) Week at Clemson - April 5-7
Date  Time Location Speaker
April 5 11:15 - 12:15 p.m. Martin Hall M-102 Dr. Daniel Bienstock
Professor, Industrial Engineering & Operation Research

Columbia University

Title: Using robust optimization to incorporate renewables in electric power generation

Abstract: A current widespread goal in electric power generation, around the world, concerns the economic incorporation of renewable sources. Contrary to what may be the popular perception, a central ingredient in this goal is driven by business, i.e. the business of exporting power to high-demand zones. Renewable power is cheap from a generation expensive, but can be expensive and/or risky when long-distance transport is a goal. The risk arises from the real-time variability of renewable output, which can be substantial. This variability must be counterbalanced in real-time, which can be difficultand expensive. View Full Abstract & Bio »

Date  Time Location Speaker
April 6 1:25 - 2:15 p.m. 128 Freeman Hall Dr. Arie Koster
Professor, Chair II, Mathematics

Aachen University

Title: Robust Optimization in the Age of Big Data: 2 Applications

Abstract: With huge amounts of historical data available, but an unknown future, robust optimization can help to determine better solutions. After a brief introduction to the area, we discuss two discrete optimization problems where demand uncertainty turns out to be beneficial: robust network design and robust lot sizing. We conclude with some perspectives for my research stay at Clemson University. View Full Abstract & Bio »

Date  Time Location Speaker
April 7 1:25 - 2:15 p.m. Freeman Auditorium Dr. Jeffery Linderoth
Professor and Department Chair, Industrial & Systems Engineering

University of Wisconsin - Madison

Title: Recent Progress on Dual Decomposition for Stochastic Integer Programming

Abstract: We will discuss two methods for efficiently computing the value of the Lagrangian Dual of a Stochastic Integer Program (SIP). First, we discuss a primal-dual algorithm, the well-known progressive hedging method, but unlike previous progressive hedging approaches for SIP, our algorithm can be shown to converge to the optimal Lagrangian dual value. The key improvement in the new algorithm is an inner loop of optimized linearization steps, similar to those taken in the classical Frank-Wolfe method. Second, we will discuss (preliminary) recent work on improving the performance of classical stochastic (sub)gradient methods for SIP. Enhancements include both subsampling and asynchronous versions that run effectively on large-scale, distributed, heterogeneouscomputing platforms. View Full Abstract & Bio »

Industrial Engineering Distinguished Researcher Seminar Series
Date  Time Location Speaker
January 13 1:25 - 2:15 p.m. Freeman Auditorium Dr. David Bergman
Assistant Professor, School of Business

University of Connecticut

Title: Decision Diagrams for Optimization

In recent years, there has been a proliferation of research on innovative uses of decision diagrams (DDs) for optimization.  DDs are a graphical representation of Boolean functions, and were originally introduced for circuit design, simulation, and formal verification.  A more recent perspective associates DDs with discrete optimization, where a DD is used to represent a set of solutions to a problem and as an engine for generating objective function bounds.  This viewpoint has led to the development of state-of-the-art algorithms for a variety of real-world optimization problems, including, for example, product assortment in retail stores, employee assignment in business process workflows, and portfolio optimization. 

In this talk, a general overview of recent trends in the application of DDs within the context of discrete optimization will be presented.  The focus will be on nonlinear discrete optimization problems, but other topics such as multiobjective optimization and scheduling will also be discussed.
View Full Abstract & Bio »