Hello, I'm
Ph.D. student in Electrical Engineering at Texas A&M University, advised by Prof. Robert Balog in the Renewable Energy and Advanced Power Electronics Laboratory (REAPER). Previously M.S. in Electrical Engineering at Virginia Tech, advised by Prof. Ming Jin. I work on reinforcement learning, optimization, and grid-interactive power systems.
I'm interested in how we can build energy-management and decision-making systems that are not only efficient but also safe, interpretable, robust, and able to continually adapt as grid conditions, uncertainty, and disturbances evolve — so that learning-based control can be trusted in real, mission-critical energy infrastructure.
My work sits at the intersection of reinforcement learning, optimization, and power systems. Below are the directions I am actively exploring.
Building benchmarking simulations to evaluate RL algorithms in power-system environments with operational constraints, uncertainty, and non-stationary dynamics. Toward a standardized testbed: SustainRL-Bench.
Related papers →Model-free and hybrid RL-based control for coordinating PV, ESS, and EV / FCEV systems in grid-interactive homes. Adaptive policies that respect physical constraints while tracking changing tariffs and demand.
Related papers →Resilience-aware optimization for post-disaster energy restoration using constrained vehicle-to-home (V2H) resources, with stability and robustness analysis under stochastic, time-varying dynamics.
Related papers →Reverse-chronological. * indicates equal contribution.
Post-Disaster Home Energy Management with Fuel Cell Vehicles: Evaluating Reinforcement Learning Against MILP Under Islanding Conditions.
2026 8th Global Power, Energy and Communication Conference (GPECOM), pp. 1058–1063. Published
SustainRL-Bench: A Three-Axis RL Benchmark for Sustainable Energy Systems.
IEEE SmartGridComm 2026. Accepted
Hybrid Battery–Wireless Power Transfer System for Range-Extended Disaster-Relief UAVs: A Coupled Thermal–Electrical Battery Sizing Optimization.
Energies, 2026. Accepted
Post-Disaster Home Energy Management with Fuel Cell Vehicles: Adaptive MILP+RL Coordination via Deviation-Based Mode Switching Under Islanding Conditions.
Applied Energy, 2026. In preparation
Post-Disaster Energy Management for Homes Using Limited-Capacity Fuel Cell Electric Vehicle Batteries.
Renewable Energy, 2025. Under review
Estimation of Regions of Attraction for Nonlinear Systems via Coordinate-Transformed TS Models and Piecewise Quadratic Lyapunov Functions.
IEEE INTCEC 2025. Published
Optimization of End-Consumer Energy Management with PV, ESS, EV, and Peer-to-Peer Trading in Smart Grids.
IEEE INTCEC 2025. Published
Estimation of Regions of Attraction for Nonlinear Systems via Coordinate-Transformed TS Models.
IEEE INTCEC 2025. Published
A concise version of my background. Full PDF below.
Best reached by email — happy to chat about RL, power systems, or research collaborations.
mkoruturk@tamu.eduAlso reachable at mkoruturk@vt.edu
Department of Electrical and Computer Engineering · Texas A&M University · College Station, TX