Xinqi Fan

Dr. Xinqi Fan is a Lecturer in Artificial Intelligence at Manchester Metropolitan University, with expertise in deep learning, computer vision, and their applications across facial analysis, medical imaging, and energy systems. He has collaborated with institutions including Northern Care Alliance NHS Foundation Trust and the Chinese University of Hong Kong.

• Ph.D. from City University of Hong Kong
• M.Sc. from University of Western Australia
• B.Sc. from Southwest University

His research focuses on advancing AI techniques for emotion understanding, interpretable biomarker development, and energy system optimization. Recent work emphasizes multimodal learning, motion retargeting, and spatiotemporal analysis. Publications span leading venues like CVPR, MICCAI, and IEEE TIP.

Key trends in his articles include attention mechanisms, graph neural networks, and self-supervised learning models applied to medical diagnostics, facial expression recognition, and renewable energy. Awards include two Silver Medals and academic scholarships.

• National Scholarship
• Yuhui Scholarship
• Geneva Inventions Silver Medal
• Internet+ Innovation Competition Silver Medal
• ACM Multimedia Micro-Expression Challenge Runner-up

Dr. Fan supervises PhD students in the Human-Centred Computing Group and contributes to academic service as a conference reviewer and former IEEE student branch chair.