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Darren Chitty

Dr

    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    20192019
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    Personal profile

    General

    Darren is a highly experienced researcher within high performance machine learning, data science and optimisation, specialising in evolutionary or population based approaches. Darren spent ten years at QinetiQ whereby he achieved considerable success in designing bespoke machine learning, data mining and optimisation algorithms applied to a variety of highly complex problem domains such as radar optimisation, mission planning and cyber defense.

    Darren has developed an expertise in multi-core parallel architectures, both CPU and GPU, applying this technology to machine learning and data science algorithms for significant performance gains. Indeed, Darren was the first to port Genetic Programming onto a multi-core graphics card. More recently, Darren has demonstrated that multi-core CPUs can match graphics cards for certain tasks by improving the performance of Genetic Programming by up to 420x on a CPU. Darren has also significantly improved the computational performance of Genetic Programming on a GPU. He has also applied his expertise in exploiting parallel hardware for the purposes of high performance machine learning to other techniques such as ACO and clustering algorithms.

    Darren is using his expertise in exploiting parallel multi-core hardware for the purposes of machine learning, data science and optimisation algorithms to improve performance in terms of both accuracy and timeliness. This enables improved solutions to be obtained and greater insights into large datasets that previously could only be obtained by using high-end supercomputers. Darren is also exploring combining efficiencies with the exploitation of parallel multi-core hardware for optimal performance including reducing energy consumption. This will enable high performance machine learning algorithms to be run on low power devices such as phones and tablets.

    Darren is also a Chartered Engineer and Chartered Information Technology Professional with the British Computer Society (CEng MBCS CITP)

    Specialties: Machine Learning, Optimisation, Parallel Processing, Multi-core Technology, Data Mining, Social Network Analysis, Evolutionary Algorithms, CUDA, Cg, Visual C++

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    • 4 Similar Profiles
    Air quality Engineering & Materials Science
    Scaling Mathematics
    Partial Mathematics
    Optimization Mathematics
    Industry Engineering & Materials Science
    Scalability Engineering & Materials Science
    Scheduling Engineering & Materials Science
    Vehicle Scheduling Mathematics

    Research Output 2019 2019

    • 2 Conference contribution

    Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets

    Chitty, D. M., Parmar, R. & Lewis, P. R., 24 Aug 2019, Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. Bi, Y., Bhatia, R. & Kapoor, S. (eds.). Springer, Vol. 1038. p. 70-89 20 p. (Advances in Intelligent Systems and Computing; vol. 1038).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Air quality
    Pollution
    Ant colony optimization
    Air pollution
    Genetic algorithms

    Scaling ACO to large-scale vehicle fleet optimisation via partial-ACO

    Chitty, D. M., Wanner, E., Parmar, R. & Lewis, P. R., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, p. 97-98 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Scaling
    Partial
    Optimization
    Scalability
    Industry