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About

Dr. Wang Jing-yan is a pioneering researcher at the intersection of robotics, nuclear decommissioning, and intelligent information systems. Her work is defined by two distinct but equally impactful research areas: the development of autonomous robotic ecosystems for hazardous nuclear environments and the advancement of mobile agent-based information retrieval technologies. Her most notable contribution, the 2023 paper "Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments," has already garnered 19 citations, reflecting its immediate relevance to the global challenge of safely measuring radiation levels during Post Operational Clean Out (POCO) of nuclear facilities. This work proposes a paradigm shift from single-robot deployments to collaborative, multi-agent robotic teams that can autonomously navigate and characterize contaminated spaces, directly addressing a critical regulatory and safety need in the UK's nuclear decommissioning sector. Earlier in her career, Dr. Wang made foundational contributions to internet search efficiency with her 2005 paper on mobile agent-based retrieval systems, which earned 6 citations by pioneering an alternative to traditional robot and artificial classifying search techniques. Her career trajectory—from optimizing digital information flows to engineering physical robotic swarms for extreme environments—demonstrates a rare ability to translate computational principles into tangible, life-saving technologies. Dr. Wang’s work is essential reading for researchers in field robotics, nuclear safety, and multi-agent systems.