Hisao Ishibuchi

Chair Professor School of Sciences

Prof. Hisao Ishibuchi received the BS and MS degrees from Kyoto University in 1985 and 1987, respectively. In 1992, he received the Ph. D. degree from Osaka Prefecture University where he has been a professor since 1999. From April 2017, he is with Department of Computer Science and Engineering, SUSTech, Shenzhen, China as a Chair Professor. He received a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ-IEEE 2009, WAC 2010, SCIS & ISIS 2010, FUZZ-IEEE 2011, ACIIDS 2015 and GECCO 2017. He also received a 2007 JSPS (Japan Society for the Promotion of Science) Prize. He was the IEEE CIS Vice-President for Technical Activities (2010-2013) and an IEEE CIS Distinguished Lecturer (2015-2017). Currently, he is the President of the Japan EC Society (2016-2018), the Editor-in-Chief of IEEE CI Magazine (2014-2019) and Journal of Japan EC Society (2014-2018), an IEEE CIS AdCom member (2014-2019). He is also an Associate Editor of IEEE TEVC (2007-2018), IEEE Access (2013-2018) and IEEE TCyb (2013-2018). He is an IEEE Fellow.

Personal Profile

Dr. Ishibuchi received the BS and MS degrees from Kyoto University in 1985 and 1987, respectively. In 1992, he received the Ph. D. degree from Osaka Prefecture University where he has been a professor since 1999. From April 2017, he is with Department of Computer Science and Engineering, SUSTech, Shenzhen, China as a Chair Professor. He received a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ-IEEE 2009, WAC 2010, SCIS & ISIS 2010, FUZZ-IEEE 2011, ACIIDS 2015 and GECCO 2017. He also received a 2007 JSPS (Japan Society for the Promotion of Science) Prize. He was the IEEE CIS Vice-President for Technical Activities (2010-2013) and an IEEE CIS Distinguished Lecturer (2015-2017). Currently, he is the President of the Japan EC Society (2016-2018), the Editor-in-Chief of IEEE CI Magazine (2014-2019) and Journal of Japan EC Society (2014-2018), an IEEE CIS AdCom member (2014-2019). He is also an Associate Editor of IEEE TEVC (2007-2018), IEEE Access (2013-2018) and IEEE TCyb (2013-2018). He is an IEEE Fellow. In 2018, he was selected in the “Recruitment Program of Global Experts for Foreign Experts” known as the “Thousand Talents Program.”

Research Area:

Computational Intelligence

Evolutionary Multiobjective Optimization

Evolutionary Machine Learning

Fuzzy Systems

Linguistic Data Mining

Evolutionary Games

 

Educational Background

1992: Osaka Prefecture University, Ph D

1985-1987: Kyoto University, MS

1981-1985: Kyoto University, BS

 

Professional Experience

2017-: Chair Professor of Computer Science and Engineering Department, SUSTech

1999-2017: Professor, Osaka Prefecture University

1994-1999: Associate Professor, Osaka Prefecture University

1993: Assistant Professor, Osaka Prefecture University

1987-1993: Research Associate, Osaka Prefecture University

 

Honors & Awards

2015 IEEE CIS Distinguished Lecturer

2015 ACIIDS 2015 Best Regular Paper Award (Indonesia, International Conference)

2015 TAAI 2015 Merit Paper Award (Tainan, Taiwan, International Conference)

2015 IEEE Trans. on Cybernetics Outstanding reviewer

2014 IEEE Fellow

2013 ISIS 2013 Best Session Paper Award (Korea, International Conference)

2011 ISCI (Institute of Systems, Control and Information) Best Paper Award (Japan, Domestic Society)

2011 FUZZ-IEEE 2011 Best Paper award (Taiwan, International Conference)

2011 SOFT (Japan Society for Fuzzy Theory and Intelligent Informatics) Contribution Award (Japan, Domestic Society)

2010 WAC 2010 Best Paper Award (Japan, International Conference)

2010 SCIS & ISIS 2010 Best Paper Award (Japan, International Conference)

2009 FUZZ-IEEE 2009 Best Paper Award (Korea, International Conference)

2009 IEEE Trans. on Fuzzy Systems Outstanding Associate Editor 2008 (USA, IEEE CIS)

2007 GECCO 2007 Competition First Prize (UK, International Conference)

2007 JSPS Prize (Japan, Japanese Funding Agency)

2006 HIS-NCEI 2006 Best Paper Award (New Zealand, International Conference)

2006 SOFT (Japan Society for Fuzzy Theory and Intelligent Informatics) Outstanding Book Award (Japan, Domestic Society)

2005 ISIS 2005 Outstanding Paper Award (Korea, International Conference)

2004 SOFT (Japan Society for Fuzzy Theory and Intelligent Informatics) Contribution Award (Japan, Domestic Society)

2004 GECCO 2004 Best Paper Award (USA, International Conference)

1997 JIMA (Japan Industrial Management Association) Young Researcher Award (Japan, Domestic Society)

 

Others

Google Scholar: 20,000 Citations, H-Index 63 (January 2017)

H-Index Researcher Ranking in Computer Science of Guide 2 Research: Rank 2nd in Japan (January 2017)

Academic Ranking of World University (Shanghai Ranking): Most Cited Researchers (2016)

President of Japanese Society for Evolutionary Computation (JSEC): 2016-2018

Editor-in-Chief of JSEC Journal: 2014-2018

Editor-in-Chief of IEEE Computational Intelligence Magazine: 2014-2017

Vice President of IEEE Computational Intelligence Society: 2010-2013

Vice President of Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT): 2007-2009

Research

Prof. Hisao Ishibuchi is one of the world’s most influential scholars in the field of computational intelligence. His expertise includes evolutionary computation, fuzzy systems, neural networks and their hybrid systems. In his 30 years of research, Prof. Hisao Ishibuchi has established two novel and important research areas of computational intelligence.


Teaching

Advanced Algorithms:

The goal of this course is to learn how to analyze the behavior of heuristic algorithms for combinatorial optimization problems such as load balancing, center selection, set covering, vertex cover, disjoint path, and knapsack problems. For each problem, first a greedy algorithm is explained. Students will learn its basic search mechanism. Next, a theoretical lower bound of its solution quality is mathematically derived. Students will learn how to evaluate the greedy algorithm theoretically. Then students are asked to create easy and difficult problem instances for the greedy algorithm in order to deeply understand its search behavior in various situations.

Advanced Optimization Algorithms:

This course explains a variety of advanced topics on optimization algorithms, which include hyper-heuristics, interactive optimization, memetic algorithms, constraint handling, surrogate models, multi-tasking, transfer optimization, noisy optimization, and multi-objective optimization. The goal of this course is to learn how to design single-objective and multi-objective optimization algorithms for various optimization problems. In addition to this main goal, students will learn how to evaluate and compare different optimization algorithms. By implementing local search for flowshop scheduling and travelling salesperson problems, students will understand the importance of appropriate specifications of parameters and operators. Students will also learn several performance indicators for multi-objective optimization algorithms.


Publications Read More

Prof. Hisao Ishibuchi has published more than 100 papers in top tier academic journals and close to 500 international conference publications. His current Google Scholar citation is more than 24,000, with H-index of 68. He has received a number of international awards such as FUZZ_IEEE best paper award, GECCO best paper award, IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award.

Lab members Read More

Join us

Postdoctoral Fellow in Computational Intelligence

Responsibility:

There are two post-doctoral fellow positions available in the computational intelligence research group in the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. The successful applicants will be expected to work in research areas related to computational intelligence. The salary will be internationally competitive. The positions will be kept open until they are filled. For the application, please submit a cover letter, a comprehensive CV, and three reference letters to Prof. Hisao.

Requirement:

The successful applicants must have a PhD in Computer Science and Engineering, Mathematics, or a related discipline completed at the start date of his/her appointment, and must have research experience on any of research areas related to computational intelligence.

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Contact Us

Contact Address

Room 902, Building A7, Nanshan I park, 1001 Xue Yuan Road, Nanshan District, Shenzhen

Office Phone

0755-88015112

Email

liuq@mail.sustc.edu.cn

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