D. Herbison

Papers

Total Citations

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About

D. Herbison’s research focuses on the intersection of radiation effects, system reliability, and probabilistic modeling, with a particular emphasis on total-ionizing dose (TID) environments. Their work addresses the critical challenge of translating component-level radiation degradation into system-level performance impacts, a key concern for robotics and electronics deployed in nuclear remediation and space applications. Herbison pioneered the use of Bayesian inference to model these complex, multi-scale effects, as demonstrated in their most-cited paper, “Bayesian Inference Modeling of Total Ionizing Dose Effects on System Performance” (9 citations), which introduced a probabilistic framework for predicting system failure from component shifts. This approach was extended in “System Health Awareness in Total-Ionizing Dose Environments” (4 citations), where a hierarchical Bayesian model was developed to assess system health by integrating radiation-induced interactions across components. Herbison’s experimental work, notably “Impact of gamma radiation on range finding sensor performance” (6 citations), provided novel insights into sensor degradation beyond simple failure points, quantifying performance changes in gamma-irradiated rangefinders. With a total of 19 citations across these key papers, Herbison’s contributions are foundational for designing radiation-tolerant autonomous systems, offering a rigorous methodology for predicting and mitigating TID effects in real-world environments.