Keynote Speakers




Keynote Speaker I:

Prof. Dapeng Oliver Wu---IEEE Fellow

University of Florida, USA


Biography: Dapeng Oliver Wu received Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. Since 2003, he has been on the faculty of Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, where he is currently Professor. His research interests are in the areas of networking, communications, video coding, image processing, computer vision, signal processing, and machine learning.
He received University of Florida Term Professorship Award in 2017, University of Florida Research Foundation Professorship Award in 2009, AFOSR Young Investigator Program (YIP) Award in 2009, ONR Young Investigator Program (YIP) Award in 2008, NSF CAREER award in 2007, the IEEE Circuits and Systems for Video Technology (CSVT) Transactions Best Paper Award for Year 2001, the Best Paper Award in GLOBECOM 2011, and the Best Paper Award in QShine 2006. He has served as Editor-in-Chief of IEEE Transactions on Network Science and Engineering, and Associate Editor of IEEE Transactions on Communications, IEEE Transactions on Signal and Information Processing over Networks, and IEEE Signal Processing Magazine. He was the founding Editor-in-Chief of Journal of Advances in Multimedia between 2006 and 2008, and an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology. He has served as Technical Program Committee (TPC) Chair for IEEE INFOCOM 2012. He was elected as a Distinguished Lecturer by IEEE Vehicular Technology Society in 2016. He is an IEEE Fellow.


Keynote Speaker II:

Prof. Ponnuthurai Nagaratnam Suganthan---IEEE Fellow

Nanyang Technological University, Singapore


Biography: Ponnuthurai Nagaratnam Suganthan finished schooling at Union College (Tellippalai, Jaffna) and subsequently received the B.A degree, Postgraduate Certificate and M.A degree in Electrical and Information Engineering from the University of Cambridge, UK in 1990, 1992 and 1994, respectively. He received an honorary doctorate (i.e. Doctor Honoris Causa) in 2020 from University of Maribor, Slovenia. After completing his PhD research in 1995, he served as a pre-doctoral Research Assistant in the Dept. of Electrical Engineering, University of Sydney in 1995–96 and a lecturer in the Dept. of Computer Science and Electrical Engineering, University of Queensland in 1996–99. He was an Editorial Board Member of the Evolutionary Computation Journal, MIT Press (2013-2018) and an associate editor of the IEEE Trans on Cybernetics (2012 - 2018) and IEEE Trans on Evolutionary Computation (2005 -2021). He is an associate editor of Applied Soft Computing (Elsevier, 2018- ), Neurocomputing (Elsevier, 2018- ), Information Sciences (Elsevier, 2009 - ), Pattern Recognition (Elsevier, 2001 - ), Engineering Applications of Artificial Intelligence (2022-) and IEEE Trans. on SMC: Systems (2020 - ). He is a founding co-editor-in-chief of Swarm and Evolutionary Computation (2010 - ), an SCI Indexed Elsevier Journal. His co-authored SaDE paper (published in April 2009) won the "IEEE Trans. on Evolutionary Computation outstanding paper award" in 2012. His former PhD student, Dr Jane Jing Liang, won the IEEE CIS Outstanding PhD dissertation award, in 2014. IEEE CIS Singapore Chapter won the best chapter award in Singapore in 2014 for its achievements in 2013 under his leadership. His research interests include swarm and evolutionary algorithms, pattern recognition, forecasting, randomized neural networks, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited (Googlescholar Citations: ~56k). He was selected as one of the highly cited researchers by Thomson Reuters every year from 2015 to 2021 in computer science. He is ranked by He served as the General Chair of the IEEE SSCI 2013. He is an IEEE CIS distinguished lecturer (DLP) in 2018-2021. He has been a member of the IEEE (S'91, M'92, SM'00, Fellow’15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014-2016.

Title: Randomization Based Deep and Shallow Learning Methods for Classification and Forecasting

Abstract: This talk will first introduce the main randomization-based feedforward learning paradigms with closed-form solutions. The popular instantiation of the feedforward neural networks is called random vector functional link neural network (RVFL). Other feedforward methods included in the tutorials are random weight neural networks (RWNN), extreme learning machines (ELM), Stochastic Configuration Networks (SCN), Broad Learning Systems (BLS), etc. We will also present deep random vector functional link implementations. Hyperparameter tuning will be addressed in detail. The talk will also present extensive benchmarking studies using classification and forecasting datasets.


Keynote Speaker III:

Prof. Shuanghua Yang

University of Reading, UK


Biography: Shuang-Hua Yang received the B.S. degree in instrument and automation and the M.S. degree in process control from the China University of Petroleum (Huadong), Beijing, China, in 1983 and 1986, respectively, and the Ph.D. degree in intelligent systems from Zhejiang University, Hangzhou, China, in 1991. He is currently the Head of Department of Computer Science at University of Reading, UK, and the director of Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet at Southern University of Science and Technology, China. His research interests include cyber-physical systems, the Internet of Things, wireless network-based monitoring and control, and safety-critical systems. He is a senior member of IEEE and a fellow of IET and InstMC, U.K. He is also an Associate Editor of IET Cyber-Physical Systems: Theory and Applications.


Keynote Speaker IV:

Prof. Patrick Wang

Fellow of IAPR, ISIBM and WASE

Northeastern University, USA


Biography: Prof. Wang is Fellow of IAPR, ISIBM and WASE, IEEE Outstanding Achievement Awardee,Tenured Full Professor, Northeastern University, USA, iCORE (Informatics Circle of Research Excellence).,Visiting Professor, University of Calgary, Canada.,Otto- Von-Guericke Distinguished Guest Professor, Magdeburg University, Germany,Zijiang Visiting Chair, ECNU, Shanghai, China.,NSC Visiting Chair Professor, NTUST, Taipei, Taiwan,Honorary advisory professor of several key universities in China, including Sichuan University, Xiamen University, East China Normal University, Shanghai, and Guangxi Normal University, Guilin. Prof. Wang received his BSEE from National Chiao Tung University (Jiaotong University), MSEE from National Taiwan University, MSICS from Georgia Institute of Technology, and PhD, Computer Science from Oregon State University.,Published over 26 books, 160 technical papers, 3 USA/European Patents, in PR, AI, TV, Cybernetics and Imaging,Founding Editor-in-Chief of IJPRAI (International Journal of Pattern Recognition and Artificial Intelligence), and Book Series of MPAI, WSP.,Co-Chief Editor, IJPRAI and MPAI Book Series, WSP Northeastern University, Boston, MA, USA.,In addition to his technical interests, Dr. Wang also published a prose book, “Harvard Meditation Melody” and many articles and poems regarding Du Fu and Li Bai's poems, Beethoven, Brahms, Mozart and Tchaikovsky's symphonies, and Bizet, Verdi, Puccini and Rossini's operas.,;; on document published on 6 April 2015).


Keynote Speaker V:

Assoc. Prof. Yiwen Wang

Hong Kong University of Science and Technology, HK


Biography: Yiwen Wang received B.S. and M.S. degrees from University of Science and Technology of China (USTC), Hefei, Anhui, China in 2001 and 2004 respectively. She received a Ph.D. degree from University of Florida, Gainesville, FL, USA in 2008. She then joined the Department of Electronics and Computer Engineering as a Research Associate at the Hong Kong University of Science and Technology, Kowloon, Hong Kong. In 2010, she joined as an Associate Professor at Zhejiang University, Hangzhou, China. In 2017, she joined the faculty at the Department of Electronic and Computer Engineering, Department of Chemical and Biological Engineering, the Hong Kong University of Science and Technology. In 2022, she was promoted to Associate Professor with substantiation.
Her research interests are in neural decoding of brain-machine interfaces, adaptive signal processing, computational neuroscience, neuromorphic engineering. She serves as the chair of IEEE BRAIN publication subcommittee, the Chair in the IEEE EMBS Neural Engineering Tech Committee, the Board Member of Brain Computer Interfaces Society. She is the Editor-in-Chief of IEEE Brain Newsletter, she serves in the editorial board of the Journal of Neural Engineering, and is the associate editor of Frontiers in Human Neuroscience (Brain-Computer Interfaces), an associate editor of the IEEE Transactions on Cognitive and Developmental Engineering. She was an associate editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering. She was recognized as IEEE EMBS distinguished lecturer in 2022. She holds one US patent and has authored more than 100 peer-reviewed publications.

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