About
Anthony C. Brooms is a Lecturer at the School of Computing and Mathematical Sciences. His research focuses on Uncertainty Quantification (specifically forward uncertainty propagation analysis for line-of-sight reconstruction problems), Converging Beam Triple LIDAR, Non-Cooperative Games, Stochastic Service Systems, and Non-globally uniformizable stochastic systems. He teaches modules including Data Science (BUEM135S6) and Probability and Stochastic Modelling (EMMS018S7).
Dr. Brooms' work bridges theoretical stochastic analysis with applied problems in engineering and data science. His research on LIDAR technology and stochastic systems indicates expertise in sensor data interpretation and probabilistic modeling.
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