Li Zhang

Li Zhang is a Professor in the Department of Computer Science at Royal Holloway, University of London, affiliated with the Centre for Intelligent Systems and the Centre for Reliable Machine Learning. His research focuses on artificial intelligence, machine learning, and their applications in areas such as generative models, audio processing, and optimization algorithms. His work contributes to UN Sustainable Development Goals through technological advancements.

Education: Not explicitly detailed in provided text.

Research Interests:

• Development of advanced AI frameworks for image and audio synthesis
• Optimization techniques for machine learning models
• Applications of deep learning in emotion recognition and recommendation systems

Recent Research Trends: Recent publications emphasize generative adversarial networks, audio emotion classification, and algorithmic innovations for multi-task optimization. Collaborations span interdisciplinary projects with industry and academic partners.

Awards & Grants: Recipient of multiple Innovate UK grants including leadership in KTP projects such as Automated Classification and Identification of Plant Specimens (2022–2026) and Improving Long COVID patient recovery through voice-based AI (2022–2023).

Advising & Projects: Principal Investigator (PI) in key projects:

• Royal Holloway & Rubberatkins Limited KTP (2024–2026)
• DDM Health Limited KTP (2025–2027)

Labs/Teams: Research conducted through the Centre for Intelligent Systems and collaborations with institutions like Royal Botanic Gardens Kew and Innovate UK.