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ISyE Distinguished Lecture Series
ISyE Distinguished Lecture Series
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ItemRiding Technology Waves: Opportunities for Operations Research(Georgia Institute of Technology, 2017-03-30) Dietrich, BrendaBrenda Dietrich's talk includes a fly-by of five decades of information technology beginning with its use to automate business processes and extending to its current role in intermediating social processes. The resulting "data exhaust," together with the availability of low cost computing capacity, spawned the age of analytics, the rise of big data, and the birth of cognitive computing. The past, current, and potential role of operations research in these technology waves will be discussed.
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ItemAdventures in Policy Modeling!( 2016-03-28) Kaplan, Edward H.Policy Modeling refers to the application of operations research, statistics, and other quantitative methods to model policy problems. Recognizing that analyses of all sorts often exhibit diminishing returns in insight to effort, the hope is to capture key features of various policy issues with relatively simple “first-strike” models. Problem selection and formulation thus compete with the mathematics of solution methods in determining successful applications: where do good problems come from? how can analysts tell if a particular issue is worth pursuing? In addressing these questions, I will review some personal adventures in policy modeling selected from public housing, HIV/AIDS prevention, bioterror preparedness, suicide bombings and counterterrorism, in vitro fertilization, predicting presidential elections, and sports.
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ItemLessons Learned on Hard Work, Thinking Ahead, and Just Showing Up( 2014-10-09) Marshall, JohnThere is no such thing as an overnight success. Like the actor who does ten years of dinner theater before making it big, most of today’s leaders undergo significant challenges on the road to success. However, applying those insights can lead to significant growth. Join John Marshall, Senior Vice President and General Manager of AirWatch by VMware, as he shares how his experiences at Georgia Tech helped him take AirWatch from an apartment startup to a billion dollar buyout.
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ItemService Engineering: Data-Based Science in Support of Service Management, or Empirical Adventures in Call Centers and Hospitals(Georgia Institute of Technology, 2011-02-24) Mandelbaum, AvishaiSynopsis: In this lecture, Dr. Mandelbaum will describe examples of complex service operations for which data-based simple models have been found useful, which he refers to as "Simple Models at the Service of Complex Realities." Examples include call centers, hospitals, banks, courts and more. He views these service systems through the mathematical lenses of Queueing Science, with a bias towards Statistics. The mathematical framework for his models is asymptotic queueing theory, where limits are taken as the number of servers increases indefinitely, in ways that maintain a sought-after (often delicate) balance between staffing level and offered-load. A specific such balance reveals an operational regime that achieves, under already moderate scale, remarkably high levels of both service quality and efficiency. This is the QED regime (Quality- & Efficiency- Driven), discovered by Erlang and substantiated mathematically by Halfin & Whitt. The data-source for the lecture is a unique data repository from call centers and hospitals. The data is maintained at the Technion's SEE Laboratory (Service Enterprise Engineering). It is unique in that it is transaction-based; it details the individual operational history of all the service transactions (e.g., calls in a call center or patients in an emergency department). One source of data, publicly available, is a network of four call centers of a U.S. bank, spanning two and a half years and covering about 1,000 agents; there are 218,047,488 telephone calls overall, out of which 41,646,142 were served by agents, while the rest were handled by answering machines. The data can be explored via SEEStat, an environment for online Exploratory Data Analysis. SEEStat is accessible here after registration.
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ItemLearning From the Experiences of Others(Georgia Institute of Technology, 2010-09-23) Efron, BradleyFamiliar statistical estimates such as batting averages, political polls, and medical trial results are obtained by direct observation of cases of interest. Sometimes, though, we can learn from the experience of "others": for instance there may be information about Player A's batting ability in the observed averages of Players B,C,D, etc. In his presentation, Professor Efron will present several examples showing how this works in practice, indicating some of the surprising theoretical ideas involved. The talk is mainly descriptive in nature, and is intended for a general scientific audience.