About
Dr. Zhiwu Huang is a Lecturer (Assistant Professor) affiliated with the Vision, Learning, and Control (VLC) group in the School of Electronics and Computer Science (ECS) at the University of Southampton.
Research
Research groups
Research interests
- Computer Vision
- Machine Learning
- Generative AI
- Continual Learning
- Affective Computing
Current research
Dr. Huang specializes in computer vision and machine learning in the context of artificial general intelligence. His research focuses on improving machine learning by understanding human learning processes and exploring how AI can support and enhance both human life and the physical world. Central to his research team’s mission is the development of safe, happy, and green AI—artificial intelligence that is human-centered, emotionally aligned, and environmentally sustainable. Their work advances artificial machine intelligence with generative capabilities in perception, emotion, and action across computers, devices, and robots, with applications spanning healthcare, the arts, and education.
Publications
Teaching
COMP3223/6245: Foundations of Machine Learning
COMP6252: Deep Learning Technologies
COMP6237: Data Mining
AICE1006: Data Analytics
COMP6200: MSc Project
COMP3200: Part III Individual Project
ELEC1028: Personal Tutorial
IS424: Data Mining and Business Analytics, SMU Singapore
IS483: IS Application Project, SMU Singapore
Biography
Dr. Zhiwu Huang is a Lecturer (Assistant Professor) in the School of Electronics and Computer Science at the University of Southampton, where he has been serving since January 2023. Prior to joining Southampton, he held the position of Postdoctoral/Guest Researcher at ETH Zurich from September 2015 to July 2021. Following that, he served as an Assistant Professor of Computer Science at Singapore Management University from September 2021 to December 2022. Dr. Huang obtained his Ph.D. degree from the University of Chinese Academy of Sciences in 2015.
Dr. Huang specializes in computer vision and machine learning in the context of artificial general intelligence. His research focuses on improving machine learning by understanding human learning processes and exploring how AI can support and enhance both human life and the physical world. Central to his research team’s mission is the development of safe, happy, and green AI—artificial intelligence that is human-centered, emotionally aligned, and environmentally sustainable. Their work advances artificial machine intelligence with generative capabilities in perception, emotion, and action across computers, devices, and robots, with applications spanning healthcare, the arts, and education.
Dr. Huang is an estiblished researcher and lecturer in computer vision, machine learning, and artificial intelligence. He is a Fellow of the HEA and currently serves as an Associate Editor for IET Computer Vision. He is also actively involved in the academic community, contributing as a reviewer and meta-reviewer for major conferences and journals in these fields. He has played a key role in organizing multiple workshops in collaboration with prestigious conferences, including CVPR, ICCV, and ECCV.