AI and Machine Learning

The research conducted in the Group of Artificial Intelligence and Machine Learning is to understand, interpret, learn and model images and signals in real world. We are dedicated to developing innovative artificial intelligence technologies and statistical models of images and signals, in addition to applications of our proposed theoretical models in social sciences, computational intelligence, clinical sciences, engineering and finance. Our research areas span over classical machine learning (incl. Bayesian, Markov Chains, and logic reasoning) and emerging deep learning.

Research expertise

• Artificial Intelligence technologies
• Operational Research
• Medical imaging (including medical image processing and analysis)
• Image and Vision Computing

Group members

• Professor Huiyu Zhou (group lead)
• Dr Artur Boronat
• Dr Zheheng Jiang
• Dr Daqi Liu
• Dr Yakun Ju
• Dr Jiayan Qiu
• Professor Rajeev Raman