معرفی
Dr Thomas Madsen is a Lecturer and Lead for Teaching and Quality in the School of Computing and Engineering at the University of West London. He previously served as a Lecturer at the University of Buckingham and held academic positions at Aarhus University (Denmark), Centro di Ricerca Matematica Ennio De Giorgi (Pisa), and King’s College London. His academic work bridges pure mathematics and applied computing disciplines.
His research interests include Differential Geometry, Partial Differential Equations in geometric contexts, Special Holonomy Manifolds, and Toric Geometry, with recent expansion into Neuromorphic Robotics, Spiking Neural Networks, and Computing Education. He applies symmetry techniques to solve geometric PDEs such as Einstein’s equations and explores practical implementations of neuromorphic systems on low-power hardware.
The trend in his recent publications (2020–2025) shows a dual focus: one on deep mathematical structures in differential geometry and theoretical physics, and another on innovative applications in artificial intelligence, robotics, and pedagogy in computing education. His collaborative work with researchers like Nicola Russo and Konstantin Nikolic emphasizes interdisciplinary innovation.
- Self-learning neuromorphic robot based on reward-driven Spiking Neural Network (2025)
- Enhancing Learning and Teaching Experience for International Students in Computing Subjects (2025)
- An Implementation of Communication, Computing and Control Tasks for Neuromorphic Robotics on Conventional Low-Power CPU Hardware (2024)
- Special holonomy manifolds with torus symmetry (2023)
- An interface platform for robotic neuromorphic systems (2023)
Dr Madsen teaches across a broad portfolio of programs including BSc and MSc degrees in Data Science, Mathematics and Computing, Artificial Intelligence, Cyber Security, and Biomedical Engineering. He supervises PhD students and contributes to curriculum development, particularly in enhancing educational experiences for international students. He has collaborated with advisees such as Sama Aleshaiker and Wei Jie on pedagogical research. While no specific grants are detailed, his active research output and teaching leadership suggest sustained scholarly engagement.
He is associated with research groups or labs focused on neuromorphic computing and mathematics for computing, contributing to both theoretical and applied advancements. His work on teaching resources and educational practice indicates a strong commitment to academic quality and innovation in STEM education.
