PeopleofSuperintelligence

Researcher

Joshua Knowles

Also known as J D Knowles, J Knowles, J. D. Knowles, J. Knowles, J.D. Knowles, Joshua D. Knowles

Joshua Knowles is a computer scientist whose research focuses on multiobjective optimization. With David Corne, he wrote a paper on the Pareto Archived Evolution Strategy, and he published ParEGO, a hybrid method for expensive optimization. His career includes research fellowships, a Birmingham professorship, work on energy trading, and a 2025 paper applying deep optimization to job scheduling. As of October 2026, he is a Principal Scientist at Schlumberger Cambridge Research and an IEEE Fellow.

Now at
Schlumberger Cambridge Research and University of Birmingham
Works
201
Citations
18,843
h-index
58

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 1993–2002

    Reading and the PAES algorithm

    He earns a physics degree in 1993, an MSc in information systems engineering in 1996, and a computer-science PhD in 2002 at Reading. His research focuses on multiobjective optimization; with David Corne, he publishes a 2000 paper on the Pareto Archived Evolution Strategy.

  2. 2001–2008

    Research fellowships

    He holds a Marie Curie postdoctoral fellowship from 2001 to 2003 and a BBSRC David Phillips Fellowship from 2002 to 2008.

  3. 2006–2008

    ParEGO and an IEEE award

    He publishes ParEGO, a hybrid algorithm for expensive multiobjective optimization, in 2006; IEEE Transactions on Evolutionary Computation gives the paper its Outstanding Paper Award in 2008.

  4. 2015

    Professor at Birmingham

    He accepts a professorship in computational intelligence for software engineering at the University of Birmingham in February 2015.

  5. 2017

    A SIGEVO Impact Award

    He and David Corne receive the 2017 ACM SIGEVO Impact Award for their 2007 paper on many-objective optimization.

  6. 2020–2025

    Energy trading and scheduling

    At Invenia Labs from 2020 to 2022, he works on energy trading algorithms to reduce spikes and congestion on the US electricity grid. In 2025, he coauthors a GECCO paper that explores Deep Optimization for single-stage job scheduling.

  7. 2026

    An IEEE Fellowship

    IEEE names him a 2026 Fellow of the Computational Intelligence Society for contributions to multiobjective optimization.

  8. Since 2022

    Principal Scientist at SLB

    Since 2022, he is a Principal Scientist at Schlumberger Cambridge Research and works in its AI group on algorithms to support the energy transition.

Sources and credits

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  1. Professor Joshua Knowles, Honorary Research Fellow, Computer Science - University of Birmingham birmingham.ac.uk. Checked 15 October 2026.
  2. Joshua D. Knowles staff.cs.manchester.ac.uk. Checked 15 October 2026.
  3. Joshua D. Knowles staff.cs.manchester.ac.uk. Checked 15 October 2026.
  4. Joshua Knowles - Research Explorer The University of Manchester research.manchester.ac.uk. Checked 15 October 2026.
  5. ParEGO: an algorithm for multiobjective optimization of expensive functions staff.cs.manchester.ac.uk. Checked 15 October 2026.
  6. Joshua D. Knowles staff.cs.manchester.ac.uk. Checked 15 October 2026.
  7. GECCO 2024 | Tutorials gecco-2024.sigevo.org. Checked 15 October 2026.
  8. Towards Deep Optimization in Operations Scheduling - Research Explorer The University of Manchester research.manchester.ac.uk. Checked 15 October 2026.
  9. Fellows Evaluation Committee - IEEE Computational Intelligence Society cis.ieee.org. Checked 15 October 2026.