April 2019
Zeyu Zheng – Non-stationary Markov processes: Approximations, simulation, and decision-making
In many Markov modeling contexts, the system under consideration exhibits strong time-of-day effects, day-of-week effects, or seasonality effects. In fact, most real-world systems that are modeled as Markov processes exhibit such non-stationarities. Nevertheless, the great majority of the academic literature focuses on modeling and theory for Markov processes with stationary transition probabilities, which describe systems that have no such time-of-day effects or seasonality. In this talk, we will describe an analytical approximation approach to handle non-stationary Markov models, anchored on…
Find out more »David Morton
David Morton is the David A. and Karen Richards Sachs Professor of Industrial Engineering and Management Sciences and chair of Industrial Engineering and Management Sciences at the McCormick School of Engineering at Northwestern University. He also serves as the director for the Center for Optimization and Statistical Learning.
Find out more »James Renegar
James Renegar is a Professor in the Department of Mathematics at Cornell University. He is currently devoting the majority of his research efforts to devising new algorithms for linear programming, i.e., for solving systems of linear inequalities.
Find out more »Gireeja Ranade
Gireeja Ranade is an assistant teaching professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. Before joining the faculty at UC Berkeley, Dr. Ranade was a Researcher at Microsoft Research AI in the Adaptive Systems and Interaction Group. She also designed and taught the first offering for the new course sequence EECS16A and EECS16B in the EECS department at UC Berkeley and received the 2017 UC Berkeley Electrical Engineering Award for Outstanding Teaching. Dr. Ranade received her PhD in Electrical Engineering…
Find out more »Jesus De Loera
Jesus De Loera is a Professor of Mathematics at the University of California, Davis. He is an expert in the field of Discrete Mathematics, but his research encompasses a diverse set of topics including his work in (pure) Convex Geometry, Algebraic Combinatorics, and Combinatorial Commutative Algebra, as well as his (applied) work in Combinatorial Optimization and Algorithms. In addition to more than 80 published research papers, he has co-written two graduate level textbooks: `` Triangulations: Structures for Algorithms and Applications'' (Springer, with…
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