Tingting Mu

Tingting Mu is a Senior Lecturer in the Department of Computer Science at The University of Manchester. Her research focuses on developing advanced mathematical modelling and large-scale optimisation techniques to simulate human intelligence and analyse complex real-world data. She teaches courses in machine learning, natural language systems, and machine learning and optimisation. Her work contributes to Sustainable Development Goals 3, 7, and 11. She is affiliated with the MCAIF Centre for AI Fundamentals and has published research in areas such as computer vision, text mining, and reinforcement learning.

Tingting Mu is a researcher in Computer Science at the University of Manchester, specializing in Machine Learning. Her work explores diverse areas such as ensemble learning, sentiment analysis, and video retrieval. She has contributed to cross-domain sentiment classification, stochastic multiview hashing, and context-aware route optimization for electric vehicles. Her research also includes breast cancer detection using SVM and SOM–RBF classifiers, as well as unsupervised video hashing techniques. Mu's publications highlight her focus on improving adversarial defense, label propagation for citation screening, and multi-output data embedding. Her research interests span both theoretical and applied machine learning, with an emphasis on real-world problem-solving.