Energy efficiency and thermal reliability are central to our work. We develop fast modeling and management techniques for power- and thermal-constrained systems, including multi-fidelity thermal modeling, dynamic resource management, thermally-aware scheduling, and reinforcement-learning-based optimization for heterogeneous and chiplet-based platforms.