Abstract: Comprehensive data on global biodiversity patterns is only obtainable through in-situ distributed sensor networks. However, these multi-device networks are constrained by battery lifetimes, must gather rich data from power-hungry sensors, and yet must be deployed in remote environments for long periods. We look at the feasibility of a prototype multi-sensor device using on-device reinforcement learning for power management.

Bio: Josh Millar is a PhD based at the NetSys Lab at Imperial-X.

Their current research interests include:

• energy-aware ML
• IoT and on-device ML
• applied ML for sustainability