Xin Yao

  • Xin Yao

    Professor from Birmingham University
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    Xin Yao received the B.Sc. degree in computer science from the University of Science and Technology of China (USTC), Hefei, the M.Sc. degree in computer science from the North China Institute of Computing Technologies (NCI), Beijing, and the Ph.D. degree in computer science from the USTC, Hefei, in 1982, 1985, and 1990, respectively.

    He is currently a Professor of Computer Science and the Director of the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), the University of Birmingham, UK, a Distinguished Visiting Professor of USTC, and a Visiting Professor at several other universities in P. R. China and the Chinese Academy of Sciences. He was a lecturer, senior lecturer and associate professor at the University College, the University of New South Wales, the Australian Defence Force Academy (ADFA), in Canberra, Australia, between 1992 and 1999. He held post-doctoral fellowships from the Australian National University (ANU), Canberra, and the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Melbourne, between 1990 and 1992.

    He is a fellow of IEEE, the editor in chief of IEEE Transactions on Evolutionary Computation and an associate editor or an editorial board member of ten other international journals. He was the past chair (2001-03) of IEEE NNS Technical Committee on Evolutionary Computation and the recipient of the 2001 IEEE Donald G. Fink Prize Paper Award. He has given 32 invited keynote and plenary speeches at various international conferences and chaired/co-chaired 28 international conferences.

    His major research interests include evolutionary computation, neural network ensembles, global optimization, computational time complexity and data mining. He has more than 200 research publications, including 63 refereed journal papers. His publications have been well cited by others. His work has been supported by AWM, EPSRC, EU, Royal Society, Chinese Academy of Sciences, Honda, Marconi, BT, Thales and Severn Trent Water with over GBP4m in the last four years. All his completed EPSRC projects so far have been rated outstanding.

    He has developed a number of novel algorithms for evolutionary artificial neural networks (EANNs) and ANN ensembles that generalise well. He was among the first in the world who studied computational time complexity of evolutionary algorithms (EAs) with population size greater than 1. Some fundamental results have been proved which show how the population size can influence the time complexity of EAs for certain problems. He proved two important theorems on evolutionarily stable strategies in the $N (N>2)$ player iterated prisoner's dilemma with and without noise. He, with his students, developed fast evolutionary programming (FEP) and improved FEP (IFEP) for unconstrained optimisation and stochastic ranking for unconstraint handling. He has filed two EU patents from his joint work with Marconi and Honda. He led the development of a novel MSc in Natural Computation programme at The University of Birmingham, which is funded by a large EPSRC grant and industrial support. He has applied evolutionary computation and neural network ensemble techniques to many practical problems.

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