Xinan Yang

Professor Xinan Yang is a faculty member at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science. He holds a PhD in Optimization from the University of Edinburgh (2011), an MSc in Operational Research (with distinction) from the same university (2007), and a BSc in Applied Mathematics from Fudan University (2006). His research focuses on optimization, logistics, and operations research, with applications in energy systems, drone/robot-assisted delivery, and stochastic programming. Prior to Essex, he worked as a Senior Research Associate at Lancaster University Management School.

Research interests include combinatorial optimization, metaheuristic algorithms, and their applications in transportation, energy management, and healthcare logistics. His recent work explores AI-driven solutions for surgery scheduling and dynamic routing in last-mile delivery systems. He also contributes to energy systems modeling, particularly in integrating renewable energy sources.

Publications highlight advancements in collaborative caching, container terminal operations, and volcano eruption algorithms for optimization. His academic support hours follow an open-door policy, and he is based at STEM 5.17 on the Colchester Campus.