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      Dr Xin-She Yang

      ROLE: Associate Professor in Simulation & Modelling
      SCHOOL: Science & Technology
      DEPARTMENT: Design Engineering & Maths
      TELEPHONE: +44 (0)20 8411 2351
      EMAIL: X.Yang@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        My main interests are applied mathematics, algorithm development,  computational intelligence, engineering optimisation, mathematical modelling, optimisation and swarm intelligence.  

        Some of my recent publications can be found at
        Middlesex University Research Repository   or     Google scholar


        Languages Spoken

      • Learning &
        Teaching Interests

        Modules for Master Programmes:

        PDE4905 Engineering Simulation

        MSO4511 Optimisation Theory

        MSO4512 Applied Optimisation

         

        Modules for Undergraduates:

        MSO2140 Problem Solving Methods

        PDE1430  Formal Methods: Mathematics and Matlab

      • Research Outputs &
        Interests

        Some of my recent publications can be found at
        Middlesex University Research Repository   or     Google scholar

        Publication Feed

        Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team

        Palmieri, Nunzia and Yang, Xin-She and Rango, Floriano De and Santamaria, Amilcare Francesco (2018) Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team. Neurocomputing . ISSN 0925-2312 (Published online first)

        Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks

        De Rango, Floriano and Palmieri, Nunzia and Yang, Xin-She and Marano, Salvatore (2017) Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks. Soft Computing . ISSN 1432-7643 (Published online first)

        Optimisation of relay placement in wireless butterfly networks

        Vien, Quoc-Tuan (2017) Optimisation of relay placement in wireless butterfly networks. In: Nature-Inspired Algorithms and Applied Optimization. Yang, Xin-She , ed. Studies in Computational Intelligence, 744 . Springer International Publishing, pp. 275-311. ISBN 9783319676685

        Nature-inspired computing and optimization

        Patnaik, Srikanta and Yang, Xin-She and Nakamatsu, Kazumi , eds. (2017) Nature-inspired computing and optimization. Modeling and Optimization in Science and Technologies, 10 . Springer. ISBN 9783319509198

        How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics

        Fong, Simon and Deb, Suash and Yang, Xin-She (2018) How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics. In: ICACNI 2016: 4th International Conference on Advanced Computing, Networking and Informatics, 22-24 Sept 2016, Odisha , India.

        View more publications

      • Funded Research &
        Knowledge Exchange Projects

        Research projects have been supported by National Measurement Office (NMO), BIS, Southwest Development Agency (UK), EuroMet, EPSRC, NPL, National Science Foundation of China and industrial partners such as Petrochina and Shell.

      • Engagement &
        Impact

        IEEE CIS Task Force Chair of BIKM, also part of the Technical Committee of Computational Finance and Economics of IEEE Computational Intelligence Society

        Advisor for Int. J. Bio-Inspired Computation (IJBIC, SCI-indexed)

        Editorial Board Member of Elsevier's Journal of Computational Science (SCI-indexed)

        Editor-in-Chief of Int. J. Mathematical Modelling and Numerical Optimisation (Scopus)

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