He Wang

He Wang is an Asscoiate Professor at University College London

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Join My Lab

[What background am I looking for?] In general, I am looking to working with people on research topics of mutual interests. If you would like to do a PhD or joint PhD with me, I look at multiple criteria but mainly: reputation of the undergraduate (graduate) school, GPA, the quantitative GRE/IELTs score, mathematics skills (grades in mathematics courses), and programming skills (including the design of systems and algorithms, design of experiments, debugging, ...). Mathematics and programming are crucial in the type of research in my group. If you would like to do a post-doc, it depends on the required experiences and skills of the project. An exception is if you would like to apply for a post-doctoral fellowship under my hosting, then again we will need to discuss a proper research topic.
[PhD students] I am constantly looking for passionate PhD students. Potential areas include Computer Graphics, Computer Vision and Machine Learning. If you are wondering if you should get a PhD or why in computer science, I recommend this article. If you decide to apply, normally you will need to apply for a Computer Science (4 Year Programme) MPhil/PhD. The PhD position is separate from PhD funding. The funding information can be found here. Different scholarships have different deadlines. UCL has a vast number of PhD scholarships including funding supporting all students, or country-based scholarships (e.g. CSC-UCL), or minority groups. You are also welcome to apply if you have your own funding source e.g. from your goverment or self-funded.
If you are interested in joining as a PhD student, click here
  1. Please read the PhD application process and make sure that you will meet the minimum requirements.
  2. Email me all the following:
  3. -Your full CV
    -All your transcripts, including your undergraduate, master's or even PhD's if applicable
    -A research proposal. Please refer to the PhD application process. The proposed research topic should be within our research area and the proposal needs to explain the research topic and how your background would contribute to such a topic. Some potential topics we are recruiting PhDs for can be found here.
    -If you already have publications, please send them too.
  4. If there is a good match, I will contact you and explain how to prepare a formal application (this step can take some time)
  5. You submit a formal application and go through the whole application process.

  6. (Note: Please do realise that me being happy to help you to prepare your application does not necessarily mean you will be offered a PhD position and PhD funding automatically. To ensure fairness, UCL has transparent processes for PhD competition and PhD funding competition. Especially for funding competition, all candidates will be ranked across the whole faculty or even the whole university which is very competitive. All candidates are strongly encouraged to apply for all possible PhD funding they are eligible for.)
[Visiting/Joint PhD students] You are welcome to visit my lab. Normally you are expected to have your own funding source to support your visit. Some governments have dedicated programmes such as CSC-UCL. If you decide to apply, click here
  1. Please read the Visiting student application process and make sure that you will meet the minimum requirements.
  2. Email me all the following:
  3. -Your full CV
    -A research proposal, which should contain your research background, track record and the proposed research you would like to do during your visit
    -If you already have publications, please send them too.
  4. If there is a good match, I will contact you and explain how to prepare a formal application
  5. You submit a formal application and go through the whole application process.
[Visiting Researchers/Scholars] I am always excited to work with peers/colleagues. Please email me with details of the intented visit. Normally you are expected to have your own funding. Some governments have dedicated programmes such as CSC-UCL.
[Post-docs] I post job ads on my website whenever we are recruiting. I am happy to support post-doc funding applications with a legit research project. There are many funding sources. Please email me with a CV and a publication list.
[Internship, Work Placement, etc.] Alas, there is usually limited funding for this. But if you have your own funding and want to gain research experiences, details can be found here.

Research Group

Feixiang He

Feixiang He

PhD student

Zheyan Zhang

Zheyan Zhang

PhD student

Deshan Gong

Deshan Gong

PhD student

Baiyi Li

Baiyi Li

PhD student

Dody Dharma

Dody Dharma

PhD student

Sara Jones

Sara Jones

PhD student

Shaun Buckley

Shaun Buckley

PhD student

Jiagnbei Yue

Jiagnbei Yue

PhD student

Alhanouf Alolyan

Alhanouf Alolyan

PhD student

Jialin Zhu

Jialin Zhu

PhD student

Mou Li

Mou Li

PhD student

Nanzhu Chen

Nanzhu Chen

PhD student

Miranda Horne

Miranda Horne

PhD student

Xiaoyuan Yang

Xiaoyuan Yang

PhD student

Student Supervision

PhD Supervision

  1. Xiaoyuan Yang (2023/01-present), Human Motion Analysis
  2. Miranda Horne (2022/10-present), Deep Learning and PDEs
  3. Nanzhu Chen (2022/2-present), Human Motion Analysis
  4. Mou Li (2021/10-present), Deep Learning and PDEs
  5. Alhanouf Alolyan (2021/4-present), Crowd and Environment
  6. Jiangbei Yue (2020/11-present), Crowd Analysis
  7. Shaun Buckley (2020/10-present), Sound Analysis
  8. Sara Jones (2020/04-present), Machine Learning for Early Brain Tumor Detection
  9. Jialin Zhu (2019/12-present), Deep Learning on Texture Synthesis
  10. Deshan Gong (2019/10-present), Cloth Simulation
  11. Dody Dharma (2019/09-present), Deep Learning and Fluid Dynamics
  12. Baiyi Li (2019/09-present), Machine Learning on Human Motions
  13. Zheyan Zhang (2018/11-present), Deep Learning and Fluid Dynamics
  14. Feixiang He (2018/11-present), Crowd Analysis

PhD Co-supervision

  1. Jing Peng (2023/02-present), (with Dr Jian Liu)
  2. Mohsen Azarmi (2022/11-present), (with Dr Mahdi Rezaei)
  3. Yanjie Song (2022/10-present), (with Dr Xiaohui Chen)
  4. Oluwaseun Coker (2022/10-present), (with Professor Peter Jimack and Dr Amirul Khan)
  5. Usamah Adia (2022/10-present), (with Professor Andrew Sleigh and Dr Amirul Khan)
  6. Jose Lopez Florido (2022/10-present), (with Professor Peter Jimack and Dr Amirul Khan)
  7. Zerui Yang (2022/08-present), computational neuroscience (with Dr Jian Liu)
  8. Zhile Yang (2022/05-present), computational neuroscience (with Dr Jian Liu)
  9. Sally Wilson (2021/10-present), Ice sheet and AI (with Dr Anna Hogg)
  10. Ross Slater (2021/10-present), Ice sheet and AI (with Dr Anna Hogg)
  11. Maan Alhazmi (2021/10-present), Emotion Recognition and Reinforcement Learning (with Dr Abdulrahman Altahhan)
  12. Maria Taccari (2020/10-present), Underground Water Modelling (with Dr Xiaohui Chen, Prof Peter Jimack)
  13. Zisong Xu (2020/10-present), Robotics (with Dr Mehmet Dogar)
  14. Mingrui Zhang (2020/10-present), Bayesian & Deep Learning (with Dr Georgios Aivaliotis and Dr Leonid Bogachev)
  15. Jonathan Coney (2020/09-present), Weather Modelling (with Dr Andrew Ross)
  16. Jose Sosa Martinez (2019/09-present), Machine Learning on Medical Diagnostics (with Prof David Hogg)
  17. Kyle Le Huray (2019/09-present), Machine Learning on Protein Interactions (with Dr Antreas Kalli and Prof Frank Sobott)
  18. Yue Zhang (2019/09-present), Signal Processing on EEG (with Dr Zhiqiang Zhang and Prof Shane Xie)

Alumni

PhD Students

  • Usman Nazir (2021/05-2022/04), visiting PhD student
  • Yunfeng Diao (2019/09-2020/09), visiting PhD student, now a faculty at Hefei University Of Technology, China
  • Xue Sun (2019/09-2020/05), visiting PhD student
  • Yong Ji (2019/03-2020/02), visiting PhD student

Master Students

  • Huayang Jiang, Xiaoyuan Yang, Yiu Ho, Zhiyang Zhang and Jinyuan Zhu (Graduated, 2022)
  • Tian Zeng, Xuchen He (Graduated, 2021)
  • Benjamin Sweeney, Danyue Cheng, Govind Venkatesh, Jake Meegan, Xiaotong Ning, Ziyan Wang (Graduated, 2020)
  • Yunpeng Wu, Liam Dawson, George Burton, Reese Smith (Graduated, 2019)
  • Salma Hussein, Pok Law, Alastair Paterson (Graduated, 2018)
  • Yufei Wu (Graduated, 2017)

Copyright since 2016 He Wang