Lei Fang

Dr. Lei Fang is a Lecturer in the School of Computer Science at the University of St Andrews. Their research focuses on Bayesian machine learning, statistical learning, wireless sensor networks, and adversarial machine learning. They advise PhD students Zhongliang Guo and Weiye Li. Key research interests include Bayesian nonparametrics, transfer learning, and human activity recognition through sensor data analysis.

Dr. Fang's work spans interdisciplinary areas such as federated learning for healthcare applications and security in neural networks. They are affiliated with the Centre for Research into Ecological & Environmental Modelling, contributing to projects involving complex system analysis and sensor network optimization.

Recent publications highlight advancements in adversarial attacks on signature verification systems, link prediction in heterogeneous social networks, and AI-driven software repository analysis. Their research emphasizes practical applications in cybersecurity, healthcare monitoring, and environmental modeling.