Keynote Speakers 专家报告

Prof. Benjamin W. Wah, IEEE/ACM/AAAS Fellow
The Chinese University of Hong Kong, Hong Kong

Professor Benjamin Wah is the Provost and Wei Lun Professor of Computer Science and Engineering at the Chinese University of Hong Kong. Professor Wah is the Franklin W. Woeltge Emeritus Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, and is a prominent computer scientist, with expertise in non-linear programming, multimedia signal processing and artificial intelligence. He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Association for Computing Machinery (ACM), and the American Association for the Advancement of Science (AAAS) and has served as the President of IEEE Computer Society. Professor Wah has received numerous international honours and awards for his distinguished academic and professional achievements. Among these are the Distinguished Alumni Award in Computer Science of the University of California, Berkeley, the W. Wallace McDowell Award, the Tsutomu Kanai Award and the Richard E. Merwin Distinguished Service Award of the IEEE Computer Society.

In 1998-99, Professor Wah was Professor of Computer Science and Engineering at CUHK, and in that year received an Exemplary Teaching Award. His bonds with the University continued afterwards as he served in the capacity of Adjunct Professor in the Department from 1999 to 2003.

Professor Wah has also long been committed to enhancing the development of higher education and research in Hong Kong. He was a member of the Research Grants Council of the University Grants Committee in Hong Kong between 2005 and 2009, and served as the Chairman of its Engineering Panel between 2006 and 2009. He was re-appointed as member of the RGC in October 2011 and appointed as Chairman of the RGC in January 2013. He was appointed as ex-officio member of the Advisory Committee on Innovation and Technology of the HKSAR Government in the capacity as the Chairman of the Research Grants Council in 2015. He is currently member of various UGC Sub-Committees, including Strategy Sub-Committee and Research Group. He also serves on the Innovation and Technology Advisory Committee of the Hong Kong Trade Development Council as well as the Committee on Innovation, Technology and Re-industrialisation of the HKSAR Government.

Born and brought up in Hong Kong, Professor Wah graduated from Queen Elizabeth School and pursued further studies in the US. He received his BS and MS in Electrical Engineering and Computer Science from Columbia University, and his MS in Computer Science and PhD in Engineering from the University of California, Berkeley. He began teaching in Purdue University in 1979, and later joined the University of Illinois at Urbana-Champaign in 1985. He also served as Director of the Advanced Digital Sciences Centre established by the University of Illinois in Singapore in 2009, with funding from the Singapore government's Agency for Science, Technology and Research.

Prof. Ying Tan
Peking University, China

Ying Tan is a professor of Peking University, and director of Computational Intelligence Laboratory at Peking University, and also a professor of Faculty of Design, Kyushu University, Japan. He worked at Chinese University of Hong Kong in 1999 and 2004-2005, and at University of Science and Technology of China in 1998, 2005-2006 as a professor under the 100-talent program of CAS, and visited many universities including Columbia University, Auckland University of Technology, etc. He is the inventor of Fireworks Algorithm (FWA). He serves as the Editor-in-Chief of International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transactions on Evolutionary Computation (TEC), IEEE Transactions on Cybernetics (CYB), International Journal of Swarm Intelligence Research (IJSIR), International Journal of Artificial Intelligence (IJAI), etc. He also served as an Editor of Springer’s Lecture Notes on Computer Science (LNCS) for 32+ volumes, and Guest Editors of several referred Journals, including IEEE/ACM Transactions on Computational Biology and Bioinformatics, Information Science, Neurocomputing, Natural Computing, Swarm and Evolutionary Optimization, etc. He is a senior member of IEEE. He is the founder general chair of the ICSI International Conference series since 2010 and the DMBD conference series since 2016. He won the 2nd-Class Natural Science Award of China in 2009 and many best paper awards. His research interests include computational intelligence, swarm intelligence, swarm robotics, data mining, machine learning, intelligent information processing for information security and financial prediction, etc. He has published more than 300+ papers in refereed journals and conferences in these areas, and authored/co-authored 11 books, including “Fireworks Algorithm” by Springer-Nature in 2015, and “GPU-based Parallel Implementation of Swarm Intelligence Algorithms” by Morgan Kaufmann (Elsevier) in 2016, and 20 chapters in book, and received 4 invention patents.

Title--Advances in Swarm Intelligence for Optimization
--Recently, inspired from the collective behaviors of many swarm-based creatures in nature or social phenomena, swarm intelligence (SI) has been received attention and studied extensively, gradually becomes a class of efficiently intelligent optimization methods. Inspired by fireworks explosion at night, the fireworks algorithm (FWA) was developed in 2010. Since then, several improvements and some applications were proposed to improve the efficiency of FWA. In this talk, swarm intelligence algorithm for optimization is first described reviewed, then several effective improved SI algorithms including fireworks algorithms are highlighted individually. By changing the ways of calculating numbers and amplitudes of sparks in fireworks’ explosion, the improved FWA algorithms become more reasonable and explainable. Sequentially, a few of new efficient strategies for FWA are also briefed. In addition, the multi-objective fireworks algorithm and the graphic processing unit (GPU) based FWA are also reviewed. Finally, some applications of swarm intelligence algorithms are briefly described, while its shortcomings and future research directions are given.

Prof. Ben Niu
Shenzhen University, China

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