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Operations and Logistics Research Seminars

Past Operations and Logistics Division and Centre for Operations Excellence Seminars

Past OPLOG Division Seminars - September 2016 - July 2017

Past OPLOG DIVISION AND COE SEMINARS - Sept 2015-Aug 2016

Past OPLOG Seminars January 2015 -  August 2015
Past OPLOG Seminars - August 2014 - December 2014
Past OPLOG Seminars September 2013 - May 2014

Past OPLOG Seminars - September 2012 - May 2013


Past OPLOG Division Seminars for September 2017 - Onwards




Date: Monday, November 27th, 2017

Speaker: John Dickerson, University of Maryland
Topic: "Using Optimization to Balance Fairness and Efficiency in Barter Markets"
Time: 2:30PM - 3:30PM
Place: Henry Angus 969

Abstract: The exchange of indivisible goods without money addresses a variety of constrained economic settings where a medium of exchange - such as money - is considered inappropriate. Participants are either matched directly with another participant or, in more complex domains, in barter cycles and chains with other participants before exchanging their endowed goods. We show that techniques from computer science and operations research, combined with the recent availability of massive data and inexpensive computing, can guide the design of such matching markets and enable the markets by running them in the real world. A key application domain for our work is kidney exchange, an organized market where patients with end-stage renal failure swap willing but incompatible donors. We present new models that address three fundamental dimensions of kidney exchange: (i) uncertainty over the existence of possible trades, (ii) balancing efficiency and fairness, and (iii) inherent dynamism. Next, we combine these dimensions, along with high-level human-provided guidance, into a unified framework for learning to match in a general dynamic setting. This framework, which we coin FutureMatch, takes as input a high-level objective (e.g., "maximize graft survival of transplants over time") decided on by experts, then automatically learns based on data how to make this objective concrete and learns the "means" to accomplish this goal - a task that, in our experience, humans handle poorly. Throughout, we draw on insights from our work with the United Network for Organ Sharing (UNOS) US-wide exchange and experiments on data from the National Health Service UK-wide exchange.



Date: Monday, January 8th, 2018

Speaker: Vishal Gupta, USC Marshall School of Business
Topic: TBA
Time: 2:30PM - 3:30PM
Place: Henry Angus 969

Abstract
: TBA




Date: Monday, January 15th, 2018

Speaker: Merve Bodur, University of Toronto
Topic:
TBA
Time: 2:30PM - 3:30PM
Place: Henry Angus 969

Abstract: TBA




Date: Monday, January 22nd, 2018

Speaker: Miguel Anjos, Polytechnique Montreal
Topic: TBA
Time: 2:30PM - 3:30PM
Place: Henry Angus 969

Abstract: TBA



Date: Monday, January 29th, 2018

Speaker: Gonzalo Romero, Rotman School of Business
Topic: TBA
Time: 2:30PM - 3:30PM
Place: Henry Angus 969

Abstract: TBA