ISHIBUCHI Hisao

Professor Hisao Ishibuchi is Chair Professor of Computer Science and Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China, a role he has held since April 2017. Previously, he spent nearly three decades at Osaka Prefecture University, progressing from Research Associate (1987-1993) to Assistant Professor (1993), Associate Professor (1994-1999), and full Professor (1999-2017). He is an IEEE Fellow, served as Vice-President of the IEEE Computational Intelligence Society (2010-2013), and is currently President of the Japan Society for Evolutionary Computation (2016-2018). He is Editor-in-Chief of IEEE Computational Intelligence Magazine (2014-2019) and the Journal of the Japan EC Society (2014-2018).

Education:

• Ph.D. in Engineering, Osaka Prefecture University, 1992
• M.S. in Engineering, Kyoto University, 1987
• B.S. in Engineering, Kyoto University, 1985

Research Focus:
Professor Ishibuchi is internationally recognised as a pioneer of computational intelligence, with seminal contributions to evolutionary multi-objective optimisation, evolutionary machine learning, fuzzy systems, neural networks, and hybrid intelligent systems. He introduced the first multi-objective memetic algorithm and early methods for multi-objective fuzzy rule-based classifier design that balance accuracy and interpretability.

Publications & Impact:
With over 100 journal papers in top-tier venues such as IEEE Transactions on Evolutionary Computation and nearly 500 conference papers, his work has attracted more than 24 000 Google-Scholar citations and an h-index of 68. His recent articles concentrate on many-objective optimisation, fuzzy machine learning, and transfer learning techniques.

Honours & Awards:

• IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award 2019
• IEEE Fellow 2014
• JSPS Prize 2007 (Japan’s most prestigious mid-career award)
• Multiple Best Paper Awards from GECCO, FUZZ-IEEE, SCIS & ISIS, WAC, ACIIDS, HIS-NCEI, and others

Teaching & Mentoring:
At SUSTech he teaches Advanced Algorithms and Advanced Optimization Algorithms, covering greedy algorithms, hyper-heuristics, memetic algorithms, multi-objective optimisation, and performance assessment. His research group actively recruits post-doctoral fellows and research assistants in evolutionary computation, fuzzy systems, and neural networks.

Labs & Teams:
He leads the Computational Intelligence Research Group at SUSTech, maintaining active collaboration networks across Asia, Europe, and North America, and supervising several post-doctoral researchers and graduate students working on next-generation intelligent systems.