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Tom Lymburn received his Ph.D. in Applied Mathematics from the University of Western Australia in 2021. Prior to that, he completed a Bachelor of Philosophy in Physics and Mathematics in 2017 at the same institution. His research interests encompass complex systems and artificial intelligence, focusing on synchronization, unconventional computation, and optimization of complex models. Lymburn has been an active investigator in various projects related to AI-enabled traffic intelligence, drone video analytics for safety reviews, and enhancing active transport infrastructure through video analytics community reporting. His collaborative work has made significant contributions to the understanding of these fields, leveraging advanced concepts in mathematics and computer science to address real-world challenges.
Various Projects • Perth, Australia
Engaged in multiple research projects exploring AI in traffic analytics and safety reviews.
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