Ed Waller

Papers

Total Citations

H-Index

About

Ed Waller is a leading researcher at the intersection of nuclear engineering and robotics, specializing in autonomous radiation mapping and in-core reactor safety. His most impactful work introduces a probabilistic framework for robotic radiation mapping using sparse data, enabling mobile platforms to generate accurate, real-time radiation intensity maps with minimal sensor input. This methodology, detailed in his 2017 paper (11 citations), represents a significant advance in nuclear decommissioning and environmental monitoring, allowing safer remote inspections in hazardous zones. Waller also developed a mobile robotic platform for generating radiation maps (2012, 5 citations), demonstrating practical deployment in contaminated environments. In reactor safety, he applied MCNP simulations to model in-core dose rates for offline CANDU® reactors (2017, 2 citations), addressing critical inspection limitations by proposing enhanced methodologies for pressure tube assessments. His work bridges computational modeling and field robotics, offering scalable solutions for nuclear waste management and reactor maintenance. With a focus on reducing human exposure to radiation, Waller’s contributions are pivotal for advancing autonomous systems in nuclear facilities, earning recognition for their innovation in sparse-data inference and real-world applicability.