ACAI 2018 Speaker

2018 International Conference on Algorithms, Computing and Artificial Intelligence!ACAI 2018

 

Keynote Speaker I

Distinguished Prof. Sun-Yuan Hsieh, National Cheng Kung University, Taiwan

Sun-Yuan Hsieh received the PhD degree in computer science from National Taiwan University, Taipei, Taiwan, in June 1998. He then served the compulsory two-year military service. From August 2000 to January 2002, he was an assistant professor at the Department of Computer Science and Information Engineering, National Chi Nan University. In February 2002, he joined the Department of Computer Science and Information Engineering, National Cheng Kung University, and now he is a distinguished professor. His awards include the 2007 K. T. Lee Research Award, President's Citation Award (American Biographical Institute) in 2007, Engineering Professor Award of Chinese Institute of Engineers (Kaohsiung Branch) in 2008, National Science Council’s Outstanding Research Award in 2009, IEEE Outstanding Technical Achievement Award (IEEE Tainan Section) in 2011, Outstanding Electronic Engineering Professor Award of Chinese Institute of Electrical Engineers in 2013, and Outstanding Engineering Professor Award of Chinese Institute of Engineers in 2014. He is Fellow of the British Computer Society (BCS).
Dr. Hsieh is also an experienced editor with editorial services to a number of journals, including serving as associate editors of IEEE ACCESS, IEEE Transactions on Reliability, Theoretical Computer Science (Elsevier), Discrete Applied Mathematics (Elsevier), Journal of Supercomputing (Springer), International Journal of Computer Mathematics (Taylor & Francis Group), Discrete Mathematics, Algorithms and Applications (World Scientific), Fundamental Informaticae (Polish Mathematical Society), and Journal of Interconnection Networks (World Scientific). In addition, he has served on organization committee and/or program committee of several dozens international conferences in computer science and computer engineering. His current research interests include design and analysis of algorithms, fault-tolerant computing, bioinformatics, parallel and distributed computing, and algorithmic graph theory.

 

Keynote Speaker II

Prof. WANG, Lusheng, City University of Hong Kong, Hong Kong

 

Keynote Speaker III

Prof. Dingli Yu, Liverpool John Moores University, U.K.

Speech title: Neural network fault tolerant control for robot systems

Bio: Professor Dingli Yu received B.Eng from Harbin Civil Engineering College, China in 1982, M.Sc from Jilin University of Technology (JUT), China in 1986, and the PhD from Coventry University, U.K. in 1995, all in Control Engineering. Dr. Yu was a lecturer at JUT from 1986 to 1990, a visiting researcher at University of Salford, U.K. in 1991, a post-doctoral research fellow at Liverpool John Moores University (LJMU) from 1995 to 1998. He joined LJMU Engineering School in 1998 as a Senior Lecturer and was promoted to a Reader in 2003, then to Professor of Control Systems in 2006. He is the associate editor of three journals, International Journal of Modelling Identification and Control and International Journal of Information & Systems Sciences, and International Journal of Automation and Computing. He organized two special issues and for Journal of Advances in Mechanical Engineering in 2017 and for Journal of Mathematical Problems in Engineering in 2018. He serves as a committee member of the IFAC SAVEPROCESS Committee, and has been IPC member for many international conferences. He leads the Control Systems Research Group at LJMU and act as co-director of the Mechanical Engineering and Materials Research Centre (MEMARC). His current research interests include fault detection and fault tolerant control of bilinear and nonlinear systems, adaptive neural networks and their control applications, model predictive control for chemical processes and automotive engines and real-time evaluations, in these areas he has published more than 200 journal and refereed conference papers and these papers have been cited more than 1120 times.

 

Plenary Speaker I

Assoc. Prof. LIU Yan, The Hong Kong Polytechnic University, Hong Kong

Dr Liu is the director of Cognitive Computing Lab, which focuses on both discovering the secrets of human brain by exploring information technologies, for example, fMRI imaging, and investigating novel computational models and systems by referencing brain structure and mind process, for example, deep learning. In addition to the theoretical study on the leading edge of scientific research, she works on applications with great commercial potentials, such as music therapy for emotional health. Her research interests span a wide range of topics, ranging from brain modeling and cognitive computing, imageideo retrieval, computer music to machine learning and pattern recognition. Dr Liu holds a PhD in Computer Science from Columbia University in the US and MSc in Business School from Nanjing University in China. The most precious gift her got from her graduate study was the love of doing research, which benefits her enormously in her whole career path. Dr Liu has been the principle investigator of more than ten projects and awarded the best paper awards several times. She serves as the organizing committee/technical program committee members for many conferences such as AAAI and ACM Multimedia, and as the reviewers for many journals such as IEEE Transactions on Neural Networks and Learning Systems as well as ACM Transactions on Intelligent Systems and Technology.

 

Plenary Speaker

Assoc. Prof. SUN Hanqiu, The Chinese University of Hong Kong, Hong Kong

Dr. Hanqiu Sun received B.S. in electrical engineering from HUST, M.S. in electrical engineering from University of British Columbia, and Ph.D. in computer science from University of Alberta, Canada. She is adjunct professor at University of ESTC, visit professor at Zhejiang University, and Shanghai Jiaotong University. Prof. Sun has published more than hundred technical papers, book chapters and international conferences refereed such as SIGGRAPH Asia. She has served as guest editors of MIT PRESENCE and Journals of CAVW and IJIG, program co-chair of ACM VRST, Chinagraph, organization co-chair of Pacific Graphics, CGI, director of advanced workshop on VR, and numerous international program committees. She has joint 973 national major projects in virtual reality and augmented reality. Her research interests include virtual reality, interactive graphics / animation, hybrid VR environments, virtual surgery, robust video synopsis, dynamics and haptics simulations.

 

Plenary Speaker

Assoc. Prof. TAN, Chee Wei, City University of Hong Kong, Hong Kong

Chee Wei Tan received the B.S. (First Class Honors) from the National University of Singapore and the M.A. and Ph.D. degrees from Princeton University, Princeton, NJ. He is an Associate Professor of Computer Science. His research interests are networks and graph analytics, algorithms at the interface of computer science and statistics, convex optimization theory and its applications, and artificial intelligence applications for learning at scale.

 

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