Professor Zheng Wang
- Position: Professor of Intelligent Software Technology
- Areas of expertise: distributed systems; computing systems; compilers; machine learning; artificial intelligence; parallel programming; programming languages
- Location: 3.25b Sir William Henry Bragg Building
- Website: Intelligent Systems Software Lab
Profile
I lead the Intelligent Systems Software Lab.
I am a member of the Distributed Systems and Services Group at Leeds, the EPSRC Peer Review College, the UKRI Talent Peer Review College (PRC), and the HiPEAC Network of Excellence. I was a Turing Fellow at The Alan Turing Institute. I was named among the Elsevier and Stanford World’s Top 2% Scientists between 2020 – 2024.
Research interests
I work to make software development easier and more accessible so that every programmer can easily write, maintain and optimise software. I maintain a list of must-read research papers for machine learning in compilers. I am interested in solving real-world problems by building working prototypes to be tested in real-life environments and real computing hardware using realistic workloads.
PhD students: Scholarships are available for outstanding candidates. Being an advisor to students is the best part of my job. Have a look at my research interests and recent publications. If any of those grab you, email me a CV and a short text describing your background. I am also open-minded - if you have a great idea you would like to pursue, get in touch! Please read here before applying.
Professional memberships
- ACM
- BCS
- IEEE
Research groups and institutes
- Artificial Intelligence
- Distributed Systems and Services
Current postgraduate researchers
<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>Projects
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<li><a href="//phd.leeds.ac.uk/project/377-automatic-software-bug-detection-and-fixing-by-learning-from-large-code-examples">Automatic Software Bug Detection and Fixing by Learning from Large Code Examples</a></li>
<li><a href="//phd.leeds.ac.uk/project/2008-democratise-large-deep-learning-models">Democratise Large Deep Learning Models</a></li>
<li><a href="//phd.leeds.ac.uk/project/792-energy-efficient-computing-through-fine-grained-energy-accounting">Energy-efficient Computing Through Fine-grained Energy Accounting</a></li>
<li><a href="//phd.leeds.ac.uk/project/2156-high-level-pattern-aware-parallel-software-development">High-level Pattern-aware Parallel Software Development</a></li>
<li><a href="//phd.leeds.ac.uk/project/791-modernise-compiler-technology-with-deep-learning">Modernise Compiler Technology with Deep Learning</a></li>