Research
Research
Postgraduate research alongside engineering work, focused on making real-time systems more efficient without adding operational risk.
Current focus
Edge AI for energy-efficient multi-zone professional audio systems — using lightweight, on-device inference and predictive control to reduce power draw across distributed AV hardware without degrading responsiveness.
Related themes
- Edge AI and embedded inference
- Time-series forecasting
- Reinforcement learning for control
- Predictive, energy-aware control loops
- Professional AV and multi-zone systems
Publications & research work
Research outputs will be added here as they become available.