Dr Martin Esugo

Dr Martin Esugo is a Research Fellow in Data and Artificial Intelligence at Birmingham City University, contributing to the West Midlands Health Tech Innovation Accelerator Programme. His research interests lie at the intersection of artificial intelligence, machine learning, and healthcare innovation, with a particular focus on the development of robust and trustworthy AI systems.

Martin holds a Ph.D. in Transportation Engineering from Coventry University, where his doctoral research focused on deep learning-based traffic flow forecasting. He brings expertise in Python programming, data science, deep learning, and natural language processing, with practical experience spanning time series forecasting, computer vision, and the development of AI-driven solutions for MedTech companies.

He has contributed to a range of applied research projects, including advanced traffic simulation, road-marking detection using computer vision, and the deployment of intelligent transport systems. His broader academic interests include computational modelling, physics, and the global energy transition.