Discrete Optimization Talks (DOTs)

DOTs are virtual discrete optimization talks, organized by Aleksandr M. Kazachkov and Elias B. Khalil. To receive updates (and the Zoom link) for upcoming DOTs, please join our mailing list. If you would like to give a DOT, please fill out this form or email us.

Topics of interest include theoretical, computational, and applied aspects of integer and combinatorial optimization.

The format is a weekly session with two 30-minute talks. Currently, the seminars are scheduled on Fridays at 1:00 p.m. ET. We will have a limited schedule for the time being, with a more active series of talks starting January 2021.

A special feature of DOTs will be a social component. After a usual talk, you might grab a tea/coffee and chat with other attendees. Why not here too? Join us for some informal discussion after each DOT and throughout the week on our Discord channel.

Videos of past DOTs are posted under Past Talks and can also be found on our Youtube Channel.

Join the mailing list to receive information about our upcoming seminars and how to virtually participate. Joining this list is necessary to receive the password for each DOT (usually sent on Monday mornings). You may also wish to subscribe to our Google calendar (also available in ics format).

Upcoming Talks

Friday, October 2, 2020 at 1:00 p.m. ET

Tuomas Sandholm
Carnegie Mellon University

New Results on Machine Learning for Integer Programming


Andrea Lodi
CERC - Polytechnique Montréal

Fair COVID-19 Test Allocation at Roche

Roche is a multinational pharmaceutical company, among the first ones to commercialize COVID-19 test kits, the first to make them available in Canada. Roche Canada reached out in March being overwhelmed by the excessive demand while dealing with the allocation of test kits to the various laboratories in all Canadian Provinces. This is a case in which the demand is way larger than the supply and allocation decisions have to be made so as guarantee the social good. We report on the first phase of the solution of such a problem, leveraging both predictive and prescriptive analytics. The software tool designed for such a first phase is in production as a result of a collaboration among Roche, the AI enabler IVADO Labs and Academia. The project has been generously funded by Scale AI, the Canadian Supply Chain Supercluster.

Friday, October 23, 2020 at 1:00 p.m. ET

Felipe Serrano
Zuse Institute Berlin



Santanu Dey
Georgia Tech