Heidi A. Smartt

Papers

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About

Dr. Heidi A. Smartt is a leading researcher in nuclear nonproliferation and security, with a focus on integrating advanced technologies into safeguards inspection protocols. Her work centers on the application of machine learning and edge computing to enhance the efficiency and accuracy of in-field nuclear material verification. In her highly cited 2024 paper, "Machine learning at the edge to improve in-field safeguards inspections," Dr. Smartt demonstrates how deploying AI directly at inspection sites can reduce data transmission delays and improve real-time decision-making, a critical advancement for international safeguards. This contribution has garnered significant attention, with her work cited by peers in nuclear engineering and security policy. Dr. Smartt’s research bridges the gap between computational innovation and practical field applications, offering scalable solutions for monitoring nuclear materials. Her achievements include collaborations with the International Atomic Energy Agency (IAEA) and contributions to next-generation safeguards technologies. By addressing the challenges of data processing in remote or sensitive environments, Dr. Smartt is shaping the future of global nuclear security, making her work essential reading for students and researchers in nonproliferation, machine learning, and applied physics.