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Jonathan Shapiro

Dr

 https://orcid.org/0000-0002-9572-9544

Personal profile

Biography

I am a Reader in the School of Computer Science, where I teach and carry out research on machine learning, probabilistic modeling and evolutionary algorithms. I have particular interests in reinforcement learning and active learning for optimization. I am the head of the Machine Learning and Optimization Research Group in the School of Computer Science, Deputy Director of CICADA, an interdisciplinary project on hybrid systems spaning the schools of Computer Science, Control Engineering and Mathematics. I have previously been associated with the Santa Fe Institute, through their programs on Adaptive Computation and Evolutionary Dynamics and by directing their Complex Systems Summer School in 2003. Previously, I was a research theoretical physicist at the University of Manchester and the University of California, where I did research on condensed matter physics.

My group

Opportunities

I currrently have projects in machine learning applied to optimization, learning in multi-agent systems and methods of adaptation in hybrid dynamical systems associated with the CICADA project. Students with a good background in probabilistic mathematics or physics are particularly welcome.

Research Highlights, Institutes and Platforms

  • Digital Futures

Keywords

  • Estimation of Distribution Algorithms
  • Evolutionary Computation
  • Learning in Games
  • Machine Learning
  • Reinforcement Learning

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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  • A Bayesian Approach to Dealing with Device Heterogeneity in an Indoor Positioning System

    Davies, K., Jones, I. & Shapiro, J., 2018, IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation. 8533730. (2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Opponent Modelling by Expectation-Maximisation and Sequence Prediction in Simplified Poker

    Mealing, R. & Shapiro, J. L., 1 Mar 2017, In: IEEE Transactions on Computational Intelligence and AI in Games. 9, 1, p. 11-24 14 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    1374 Downloads (Pure)

  • Convergence of Strategies in Simple Co-Adapting Games

    Mealing, R., Shapiro, J. L., He, J. (Editor), Jansen, T. (Editor), Ochoa, G. (Editor) & Zarges, C. (Editor), 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17 - 20, 2015. He, J., Jansen, T., Ochoa, G. & Zarges, C. (eds.). ACM Digital Library: Association for Computing Machinery, p. 176-190 15 p.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    File
    542 Downloads (Pure)

  • Detecting and reducing redundancy in alarm networks

    Butters, T. D., Guttel, S. & Shapiro, J. L., 2015, {IEEE} International Conference on Automation Science and Engineering, {CASE} 2015, Gothenburg, Sweden, August 24-28, 2015. p. 1224-1229 6 p.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments

    Prügel-Bennett, A., Rowe, J., Shapiro, J., He, J. (Editor), Jansen, T. (Editor), Ochoa, G. (Editor) & Zarges, C. (Editor), 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17 - 20, 2015. He, J., Jansen, T., Ochoa, G. & Zarges, C. (eds.). ACM Digital Library: Association for Computing Machinery, p. 69-75 7 p.

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    File
    588 Downloads (Pure)
View all 45 research outputs