Eliza Rezvanova research focuses on developing novel mathematical modeling and numerical frameworks for the continuous-time stochastic optimal control of large-scale coupled power systems.
Biography
Eliza Rezvanova is a Ph.D. candidate in Applied Mathematics and Computational Science at King Abdullah University of Science and Technology (KAUST), advised by Professor Raúl F. Tempone. She has presented her research at workshops hosted by RWTH Aachen University, Hong Kong Polytechnic University, and KAUST. Before joining KAUST, she worked in the Russian oil industry at a Rosneft subsidiary. She received her M.S. in Applied Mathematics and Computational Science from KAUST in 2021 and a Specialist degree in Mathematical Methods in Economics from Ufa State Petroleum Technical University, Russia, in 2010.
Expertise and Interests
Eliza's research focuses on stochastic optimal control, dynamic programming, and numerical methods, with applications to renewable energy and partially observed systems.
Education
- Master of Science (M.S.)
- Applied Mathematics and Computational Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2021
- Specialist Degree (Spec.)
- Mathematical Methods in Economics, Ufa State Petroleum Technical University (USPTU), Russian Federation, 2010
