Deniz Sezer | PIMS - Pacific Institute for the Mathematical Sciences

Associate Professor of Mathematics, University of Calgary

Dr. Sezer received her Ph.D. in Operations Research from Cornell University in 2005. After holding a postdoctoral fellowship at York University during 2005-2008, Dr. Sezer joined U Calgary, Department of Mathematics and Statistics in 2008. Her research interests include Markov processes, martingale theory, applications to mathematical finance and more recently spatio-temporal processes and applications to wind and solar energy.

Dr. Sezer is currently leading a research group called MathForWind+ working on a diverse selection of topics in renewable energy involving cross disciplinary collaborations with researchers in engineering and policy.

Dr. Sezer holds an NSERC Discovery grant on Spatio-temporal processes and applications to renewable energy and is one of the leaders of the PIMS Collaborative Research Group: Forecasting and Mathematical Modeling for Renewable Energy (2023-2026).

Special Guest Lecture Judith Sayers, indigenous leader, Chancellor of Vancouver Island University, President of Nuu-chah-nulth Tribal Council Conference Sessions Stochastic modeling of atmosphere, and applications to energy and environment-Part 1...

Join us on July 27, 2023 for an afternoon and evening of discussion and learning on Tackling Climate Change and the Just Transition to Renewable Energy. This free two-part event is part of a series of French-Ameri-Can Climate Panels (FACTS) on...

Abstract: The classical Martin boundary is concerned with harmonic functions: the non-negative solutions of Laplace's equation 1/2\Delta u=0 in a given domain D of R^n. Harmonic functions are extensively studied and well understood. A culminating...

In this talk I am going to describe a measure valued stochastic process called Super Brownian Motion(SBM) and how one can obtain certain conditional distributions of this process via X-harmonic functions. I will show an explicit construction of a...