A Seminar by Prof. T.E.S. Raghavan
Title: On Martin's Determinacy of Borel and its application to Stochastic Games
Speaker: TES Raghavan, University of Illinois at Chicago
Time: Thursday, March 3, 2016, 3pm
Venue: LC 201
Title: On Martin's Determinacy of Borel and its application to Stochastic Games
Speaker: TES Raghavan, University of Illinois at Chicago
Time: Thursday, March 3, 2016, 3pm
Venue: LC 201
Title: On Martin's Determinacy of Borel and its application to Stochastic Games
Speaker: TES Raghavan, University of Illinois at Chicago
Time: Thursday, March 3, 2016, 3pm
Venue: LC 201
Title: India’s air traffic system: network topologies, hierarchies and evolution
Speaker: Hans J. Huber, IIM Ahmedabad
Time: Monday Feb 15, 11:35 am
Venue: Classroom LT 002
Title: India’s air traffic system: network topologies, hierarchies and evolution
Speaker: Hans J. Huber, IIM Ahmedabad
Time: Monday Feb 15, 11:35 am
Venue: Classroom LT 002
Title: How big is big data for AXA
Speaker: Philippe Marie-Jeanne, Data Innovation Lab, AXA
Time: 5:30pm, Tuesday, February 2nd, 2016
Venue: IC 2, SOM Building
Title: An Analysis of Multi-Issue Final-Offer Arbitration
Speaker: Brian Powers, University of Illinois at Chicago
Time: 2:00 pm, Monday February 1
Venue: Classroom LC 301
Title: An Analysis of Multi-Issue Final-Offer Arbitration
Speaker: Brian Powers, University of Illinois at Chicago
Time: 2:00 pm, Monday February 1
Venue: Classroom LC 301
Title: How big is big data for AXA
Speaker: Philippe Marie-Jeanne, Data Innovation Lab, AXA
Time: 5:30pm, Tuesday, February 2nd, 2016
Venue: IC 2, SOM Building
Dr. Manjesh Hanawal has joined IEOR family as an Assistant Professor on new year's day of 2016. He received a Ph.D. from INRIA and University of Avignon and M.Sc. (Engg.) from Indian Institute of Science Bangalore. Before joining us he was a postdoctoral researcher at Boston University. His research interests lie at the intersection of Communication Networks, Machine Learning, and Network Economics. He is currently developing learning-algorithms that use data efficiently.
We wish Prof. Hanawal all the best.