
Dr He Wang
- Position: Associate Professor
- Areas of expertise: computer graphics; computer animation; computer vision; machine learning
- Email: H.E.Wang@leeds.ac.uk
- Phone: +44(0)113 343 5767
- Location: Room 6.13 E C Stoner Building
- Website: My Personal Site | LinkedIn | Googlescholar | Researchgate
Profile
I am an Associate Professor at the School of Computing, University of Leeds, UK. I am the Director of High-Performance Graphics and Game Engineering and Academic Lead of Centre for Immersive Technology. My current research interest is mainly in computer graphics, vision and machine learning and applications. Previously I was a Postdoctoral Associate at Disney Research Los Angeles. I received my PhD and did a post-doc afterwards both in School of Informatics, the University of Edinburgh, where I mainly worked on motion control of character, deformable object control and 3D scene analysis. Before my PhD, I worked in the industry for 4 years after graduating from the College of Computer Science and Technology, Zhejiang University, China.
Responsibilities
- Director of High Performance Graphics and Game Engineering
- Academic Lead of Centre of Immersive Technologies
Qualifications
- PhD in Informatics, the University of Edinburgh, UK
- BEng in Computer Science and Technology, Zhejiang University, China
Professional memberships
- ACM
- IEEE
- Eurographics Association
Research groups and institutes
- Computational Science and Engineering
Current postgraduate researchers
- Zheyan Zhang
- Dody Dharma
- Deshan Gong
- Jose Sosa
- Maria Luisa Taccari
- Jiangbei Yue
- Zisong Xu
- Alhanof Alolyan
- Maan Alhazmi
- Miranda Horne
- Xiaoyuan Yang
Projects
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<li><a href="//phd.leeds.ac.uk/project/91-3d-human-motion-analysis">3D Human Motion Analysis</a></li>
<li><a href="//phd.leeds.ac.uk/project/1174-ai-powered-point-cloud-representation.-">AI powered point cloud representation. </a></li>
<li><a href="//phd.leeds.ac.uk/project/771-cider:-crowd-based-intelligent-design-of-environment">CIDER: Crowd-based Intelligent Design of EnviRonment</a></li>
<li><a href="//phd.leeds.ac.uk/project/1071-deep-learning-and-partial-differential-equations">Deep Learning and Partial Differential Equations</a></li>
<li><a href="//phd.leeds.ac.uk/project/770-fierce:-fast-interactive-simulation-for-crowds-and-environments-g">FIERCE: Fast IntERactive simulation for Crowds and Environments-G</a></li>