1. Faculty of Engineering and Physical Sciences
  2. School of Computer Science
  3. People
  4. Profile

Professor Zheng Wang

  • Position: Professor of Intelligent Software Technology
  • Areas of expertise: Computer systems; Programming languages; Compiler technology; Parallel computing; Machine learning
  • Location: 3.25b Sir William Henry Bragg Building
  • Website: Intelligent Systems Software Lab

Profile

I work to make software development easier and more accessible, so that every programmer can easily write, maintain, and optimise software. 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. I lead the Intelligent Systems Software Lab.

I am a member of the Distributed Systems and Services Group at the University of Leeds and a Royal Society Industry Fellow. I was named among the Elsevier–Stanford World’s Top 2% Scientists (2020–2025).

I am honoured to have received:

  • HiPEAC Technology Transfer Award (2025)
  • Royal Society Industry Fellowship (2025 - 2029)
  • Meta Research Award (2023)
  • Test-of-Time Award (CGO 2024)
  • Distinguished Paper Award (ACM CGO 2025)
  • Best Paper Awards (ACM PACT 2010 & 2017, ACM CGO 2017 & 2019)
  • Best Presentation Awards (PACT 2010, CGO 2013)
  • HiPEAC Paper Awards (×4)
  • Best Paper Nominations/Finalist (ACM SC 2024, ACM SenSys 2019, ACM CCS 2018)

I am also listed in the unofficial CGO Hall of Fame and have an Erdős Number and a Dijkstra Number of four.

<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
    <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>