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Vasu Alagar PhD & Professor Emeritus, Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada |
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C.L. Philip Chen PhD & Professor, FIEEE, FAAAS, FIAPR, MAE, Dean, School of Computer Science and Engineering, South China University and Technology, China |
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Prashan Premaratne PhD & Senior Lecturer, Senior Member IEEE, Australian TEQSA Expert in Artificial Intelligence, School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, Australia. |
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Yongduan Song PhD & Professor, IEEE/AAIA/CAA Fellow, FIEAS, IEEE TNNLS Editor-in-Chief Dean, Research Institute of Artificial Intelligence, Chongqing University |
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Andrew E Teschendorff PhD & Professor, Head of Computational Systems Epigenomics, Shanghai Institute for Nutrition and Health, CAS, and Honorary Research Fellow University College London |
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Fangxiang Wu PhD & Professor, Departments of Computer Science, Biomedical Engineering, and Mechanical Engineering, University of Saskatchewan, Canada |
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Tiantian Xu PhD & Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
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Lefei Zhang PhD & Professor, School of Computer Science, Wuhan University, Wuhan, China |
Patient-Centered Treatment Based on Semantics of Similar Situations
Vasu Alagar, PhD, Professor Emeritus
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada H3G 1M8
Email:vangalur.alagar@concordia.ca
Bio-Sketch:Vasu Alagar is an Emeritus Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal, Canada. His academic career, spawning over four decades, has been rich and varied that includes Algorithm Development and Complexity Analysis, Formal Methods, Language Semantics, and Rigorous Development of Large Complex Systems. His recent research centers around Formal Component-based Software Development, Context-aware Systems, and in particular the embedding of context in programming languages and Service-oriented Systems, and Big Data discovery and Analytic. He has written and edited several books and conference proceedings. He has graduated more than 150 masters and PhD students, and his research results are widely published in many journals and conferences.
Fuzzy Broad Learning (Neuro) Systems (FBLS): Explainability and Analysis on the Tradeoff between Accuracy and Complexity
C.L. Philip Chen, FIEEE, FAAAS, FIAPR, MAE
Dean, School of Computer Science and Engineering,
South China University and Technology
Bio-Sketch:C. L. Philip Chen is the Chair Professor and Dean of the College of Computer Science and Engineering, South China University of Technology. He is a Fellow of IEEE, AAAS, IAPR, CAA, and HKIE; a member of Academia Europaea (AE), and a member of European Academy of Sciences and Arts (EASA). He received IEEE Norbert Wiener Award in 2018 for his contribution in systems and cybernetics, and machine learnings, and IEEE Joseph G. Wohl Outstanding Career award, and Wu WenJun Outstanding Contribution award from Chinese AI Association, received two times best transactions paper award from IEEE Transactions on Neural Networks and Learning Systems for his papers in 2014 and 2018. He is a highly cited researcher by Clarivate Analytics from 2018-2022. His current research interests include cybernetics, systems, and computational intelligence. He was the Editor-in-Chief of the IEEE Transactions on Cybernetics, the Editor-in-Chief of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, and the President of IEEE Systems, Man, and Cybernetics Society.
Human Computer Interaction Using Hand Gestures ¨C Past, Present and Future
Prashan Premaratne, PhD & Senior Lecturer
Senior Member IEEE, Australian TEQSA Expert in Artificial Intelligence
School of Electrical, Computer & Telecommunications Engineering
University of Wollongong, New South Wales, Australia
Bio-Sketch: Prashan was born in Sri Lanka in 1972 and was awarded an Australian government scholarship under John Crawford Scholarship Scheme (JCSS) to pursue undergraduate studies at the University of Melbourne, Australia in 1994. Since 2003, he has been an academic at the University of Wollongong, Australia and is currently a Senior Lecturer at the School of Electrical, Computer and Telecommunications Engineering. In 2005, he developed a computer vision-based system to control any computer interface which resulted in worldwide acclaim which was called ¡®The Wave Controller¡¯. Dr. Premaratne is a Senior Member of IEEE and is the author of the book ¡°Human Computer Interaction Using Hand Gestures¡± published by Springer International. Dr. Premaratne has been a founding member of the International Conference on Intelligent Computing (ICIC). He has been the program co-chair, tutorial chair, plenary speech chair and International Liaison Chair for the past 19 years and has received Outstanding Leadership Award for his contribution to ICIC in 2015. Dr. Premaratne has published over one hundred publications and is also a reviewer for major International Journals. He has been Guest Editor for many technological Journals over the years and was also an Assistant Editor of Springer Journal of Cognitive Science.
Several Critical Issues in Neural Network (NN) Driven Control Design and Analysis
Yongduan Song, IEEE/AAIA/CAA Fellow, FIEAS, IEEE TNNLS Editor-in-Chief
Dean, Research Institute of Artificial Intelligence, Chongqing University.
Bio-Sketch:Professor Yong-Duan Song is a Fellow of IEEE, Fellow of AAIA, Fellow of International Eurasian Academy of Sciences, and Fellow of Chinese Automation Association. He was one of the six Langley Distinguished Professors at National Institute of Aerospace (NIA), USA and register professional engineer (USA). He is currently the dean of Research Institute of Artificial Intelligence at Chongqing University. Professor Song is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and the founding Editor-in-Chief of the International Journal of Automation and Intelligence.
Using Network Physics to Improve Analysis and Interpretation of Single-Cell Omic Data
Andrew E Teschendorff, PhD & Professor
Head of Computational Systems Epigenomics,
CAS Key-Lab of Computational Biology,
Shanghai Institute for Nutrition and Health,
Chinese Academy of Sciences, and Honorary Research Fellow University College London
Bio-Sketch:Andrew Teschendorff studied Mathematical Physics at the University of Edinburgh (1990-1995) under the supervision of Physics Nobel Laureate Peter Higgs. In 2000 he obtained a PhD in Theoretical Physics from Cambridge University. In 2003 he became a Senior Research Fellow in Statistical Cancer Genomics at the University of Cambridge. In 2008 he moved to University College London (UCL) to work in Statistical Cancer Epigenomics and where he was awarded the Heller Research Fellowship. He currently holds an appointment as a PI at the CAS Key Lab of Computational Biology in Shanghai, formerly a joint CAS-Max-Planck Partner Institute for Computational Biology, and remains an Honorary Research Fellow at University College London. His research interests are broad and include Cancer System-omics & Systems Biology and Network Physics. He is well-known for developing pioneering statistical methods for analyzing various forms of genomic data, notably epigenomics and single-cell data. Professor A. Teschendorff has a Google H-index of 77, more than 150 peer-reviewed publications, including 8 book-chapters. He is an Associate Editor for many journals, including notably Genome Biology, and a reviewer and statistical advisor for journals that include Nature, Science, Bioinformatics, PLoS Computational Biology and IEEE Transactions on Computational Biology & Bioinformatics. He is a recipient of the Wolfson College Jennings Prize, Cambridge-MIT Initiative and Isaac Newton Trust Awards, a Wellcome Trust VIP Award, a CAS Visiting Professorship and a CAS-Royal Society Newton Advanced Fellowship. He holds various patents on algorithms for cancer risk prediction and cell-type deconvolution.
Intelligent Computing: from Matrix Factorization to Deep Network, for Biomarker Discovery
FangXiang Wu, PhD & Professor
Departments of Computer Science, Biomedical Engineering, and Mechanical Engineering, the University of Saskatchewan.
Bio-Sketch:Dr FangXiang Wu is?currently a full professor in the Departments of Computer Science,Biomedical Engineering, and Mechanical Engineering at the University of Saskatchewan. His research interests include Artificial Intelligence,Machine/Deep Learning,Computational Biology, Health Informatics, Medical Image Analytics,and Complex Network Analytics. Dr. Wu has published about 350 journal papers and more than 130 conference papers.?His total google scholar citations are over 13000, h-index is 55 (dated in early June, 2023). He is among top 2% world's scientists ranked by Stanford?University. Dr Wu is serving as the editorial board member of several international journals (including IEEE TCBB, Neurocomputing, etc.) and as the guest editor of numerous international journals, and as the program committee chair or member of many international conferences. He is an IEEE senior member.
Motion Control of Magnetically Actuated Microrobots Towards Targeted Therapy
Tiantian Xu, PhD & Professor
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Email:tt.xu@siat.ac.cn
Bio-Sketch:Tiantian Xu is currently Professor in Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. She received the Ph.D. degree at University of Pierre and Marie Curie, Paris, France. Her research interests are currently focused on magnetic microrobots, soft robots, medical robots, and etc. She has published over 20 IEEE Transactions papers, including TRO, T-cyber, TMECH, TASE, 6 of them are ESI high cited papers. She has received the NSFC excellent young scholar in 2020, the best application paper award in IROS2019, and the Second Prize of Wu Wenjun Natural Science of Artificial Intelligence in 2021 as first author, CAA Young Scientist. She is associate editor for TRO, TASE and RAL.
AI Innovation for Big Vision Data
Lefei Zhang, PhD & Professor
School of Computer Science, Wuhan University, Wuhan, China.
Email:zhanglefei@whu.edu.cn
Bio-Sketch:Lefei Zhang received the B.S. and Ph.D. degrees from Wuhan University, Wuhan, China, in 2008 and 2013, respectively. He was a Big Data Institute Visitor with the Department of Statistical Science, University College London, U.K., and a Hong Kong Scholar with the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China. He is a professor with the School of Computer Science, Wuhan University, Wuhan, China, and also with the Hubei Luojia Laboratory, Wuhan, China. His research interests include pattern recognition, image processing, and remote sensing. Dr. Zhang serves as a topical editor of IEEE Transactions on Geoscience and Remote Sensing, an associate editor of Pattern Recognition, and a section editor-in-chief of Remote Sensing.