Research Interests
My work sits at the intersection of reinforcement learning, control theory, and networked systems — developing algorithms that let distributed agents cooperate safely under real-world communication and computation constraints.
- Multi-agent systems Cooperative MARL, distributed optimization, networked control systems
- Safe learning Control barrier functions, constrained RL, resilient control
- Edge computing Resource management, edge–cloud optimization, real-time systems
- Learning & control Reinforcement learning, game theory, cyber-physical systems