ADCTM: Autonomous Data Centre Thermal Management via Closed-Loop RL
Coupling Fourier Neural Operator heat-flux surrogates with safe reinforcement learning to eliminate thermal hotspots and reduce data-centre cooling energy by 28.4%.
Engineered systems evaluated against quantitative benchmarks, hardware constraints, and failure modes.
Coupling Fourier Neural Operator heat-flux surrogates with safe reinforcement learning to eliminate thermal hotspots and reduce data-centre cooling energy by 28.4%.
A sub-millisecond edge neural architecture enabling deep-space probes to detect structural anomalies, diagnose cascading component failures, and adapt control policies under strict radiation-hardened compute constraints.
A zero-dependency C++20 inference engine and reproducible experimentation harness designed for rapid iteration on resource-constrained hardware.
A custom ground-up C++20 graphics engine using modern Vulkan 1.3 to achieve sub-2ms frame times for large-scale dynamic particle and physics simulations.
Graph-structured temporal reasoning for complex distributed multi-sensor telemetry networks under high-packet-loss environments.