Yingxu Wang

Prof. Yingxu Wang

PhD., FIEEE, FBCS, FI2CICC, FAAIA, FWIF

Positions

Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Adjunct Professor

Hotchkiss Brain Institute

Full Member

Hotchkiss Brain Institute

Contact information

Email

yingxu@ucalgary.ca

Web presence

Website

Phone number

Office: +1 (403) 220-6141

Background

Educational Background

B.S. Electrical Engineering, Shanghai Tiedao Universtiy, 1983

Doctor of Philosophy Computer Science, Nottingham Trent University, 1998

Biography

President, International Institute of Cognitive Informatics and Cognitive Computing (I2CICC) World Rank by Google Scholar: Top#1-Software Sci.; #1-Cognitive Robots; #2-Cog. Computing; #7-Autonomous Sys.; #1-Knowledge Sci.

Research

Areas of Research

cognitive informatics
cognitive robotics
Activities

My research interests are in brain science, brain informatics, cognitive informatics, neuroinformatics, neurocomputing, denotational mathematics, cognitive robotics, and computational intelligence. My lab is developing a coherent mathematical model of the brain at the neuron, physiological, cognitive, and logical levels from the bottom up. Some current results are such as the Layered Reference Model of the Brain (LRMB), the Abstract Intelligent Model of the Brain (AIMB) mapping onto brain’s physiological structures, the Neural Circuit Theory, the Memory Model of the Brain (MMB), and the mathematical model of consciousness. Latest findings in these areas have been applied in neural and cognitive science, clinical studies, cognitive informatics, and computational intelligence. The studies result in novel technologies initiated in my lab such as cognitive robotics, cognitive computers, cognitive knowledge bases, the machine learning engine, and the estimation of human memory capacity.

I am the founding Editor-in-Chief of Int. Journal of Cognitive Informatics & Natural Intelligence (IJCINI), founding Editor-in-Chief of Int. Journal of Software Science & Computational Intelligence (IJSSCI), Associate Editor of IEEE Trans. on SMC (Systems), and Editor-in-Chief of Journal of Advanced Mathematics & Applications (JAMA). I’ve served as general chairs/program chairs/keynote speakers in more than 20 international conferences.

Courses

Course number Course title Semester
ENEL 503 LEC 01 01 Computer Vision 2020
ENEL 503 LAB 01 B01 Computer Vision 2020
ENSF 604 LEC 01 01 Theor Foundation Software En 2021

Awards

  • 2015 IEEE ICCI*CC Steering Committee Award, 2015
  • Recognition Award (U of C, 2015), The University of Calgary. 2015
  • 2014 IEEE ICCI*CC Steering Committee Award, 2014
  • Awards for Outstanding Contribution to the Organization of IEEE ICCI*CC 2002-2019, IEEE ICCI*CC Steering Committee. 2019
  • 2013 IEEE ICCI*CC Steering Committee Award, 2013
  • Elected Fellow, ICIC - International Institute of Cognitive Informatics and Cognitive Computing, 2013
  • 2012 IEEE ICCI*CC Steering Committe Award, 2012
  • 2011 IEEE ICCI*CC Steering Committe Award, 2011
  • Best paper award of IEEE ICCI*CC 2011, 2011
  • 2010 IEEE ICCI Steering Committe Award, 2010
  • 2009 IEEE ICCI Steering Committe Award, 2009
  • 2008 IEEE ICCI Steering Committee Award, 2008
  • 2007 IEEE ICCI Steering Committee Award, 2007
  • 2006 IEEE ICCI Steering Committee Award, 2006
  • 2005 IEEE ICCI Steering Committee Award, 2005
  • The American Biographical Institute, 2005
  • Best Paper Award, 2004
  • IEEE Senior Member, 2004
  • Best Paper Award, 2003
  • Elected Fellow, WIF, 2001
  • Distinguished Young Scientist (Communications) Award, 1994
  • National Zhan Tianyou Young Scientist Prize, 1994

Publications

  • In Search of Cognitive Foundations of Creativity. Yingxu Wang. Springer. 350.1-350.12. (2018)
  • Cognitive Informatics and Computational Intelligence: From Information Revolution to Intelligence Revolution. Yingxu Wang; Shushma Patel; Newton Howard; etc.. IGI, USA. 278 - 295. (2018)
  • Software Engineering Paradigms: Empirical and Formal Design Frameworks of Large-Scale Software Systems. Y. Wang. MIT Press. 620. (2020)
  • Proceedings of the 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'14). Y. Wang; S. Patel; W. Kinsner; D. Patel; L.A. Zadeh (eds.). IEEE CS Press. (2014)
  • Proceedings of the 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*Cc'16, Stanford Univ.). K. Plataniotis; L.A. Zadeh (eds.); N. Howard; Y. Wang; B. Widrow. IEEE CS Press. (2016)
  • Proceedings of the 16th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'17, Univ. of Oxford). Amir Hussain; Lotfi A.; Bernard Widrow; F. Hamdy; Yingxu Wang; Newton Howard. IEEE CS Press. 528. (2017)
  • Proceedings of the 2014 International Conference on Neural Networks and Fuzzy Systems. P. Borne; Editors: Y. Wang. WSEAS. (2014)
  • Proceedings of the 17th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'18, UC Berkeley). J. Feldman; P. Sheu; S. Kwong; Y. Wang; B. Widrow (eds.); N. Howard. IEEE CS Press. 628. (2018)
  • Proceedings of the 18th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'19). Paolo Soda; Garry Jacobs; Newton Howard; Rodolfo A. Fiorini; Bernard Widrow; Jerome Feldman (eds.); Yingxu Wang. IEEE CS Press. 580. (2019)
  • Developments in Natural Intelligence Research and Knowledge Engineering. Y. Wang (ed.). IGI, USA. (2014)
  • A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks. Marina L. Gavrilova; Daniel Graves; Yingxu Wang; Shushma Patel; Omar Zatarain*; Newton Howard; Phillip Sheu; Sam Kwong; Jianhua Lu; Henry Leung. 6-15. (2018)
  • A Methodology for RTPA-MATLAB Code Generation based on Machine Learning Rules. James Y. Xu*; Y. Wang. 117-123. (2018)
  • A Hierarchical Theory of System Topology and Distributed Functional Fusions. Y. Wang. 3195-3200. (2017)
  • From Computing with Words (CW) to Reasoning with Fuzzy Concepts (RFC). Y. Wang. (2016)
  • On a Theory of Fuzzy Numbers and Fuzzy Arithmetic. Y. Wang. 82-90. (2014)
  • Formal Concept Refinement by Deep Cognitive Machine Learning.. Omar A. Zatarain*; Yingxu Wang. 71-78. (2017)
  • Optimal Color Image Watermarking Using Neural Networks and Multiobjective Memetic Optimization. W. Kinsner; H. Dang*; Y. Wang. 64-73. (2014)
  • Formal Ontology Generation by Deep Machine Learning. Omar A. Zatarain*; Amir Hussain; Newton Howard; Mehrdad Valipour*; Shushma Patel; Yingxu Wang; Marina L. Gavrilova. 1-15. (2017)
  • Building Semantic Hierarchies of Formal Concepts by Deep Cognitive Machine Learning. Mehrdad Valipour*; Yingxu Wang. 51-58. (2017)
  • Music Emotions Recognition by Cognitive Classification Methodologies. Jun Peng; Junjie Bai*; Lixiao Feng*; Yingxu Wang; Jinliang Shi; Jianqing Li; Ying Wu; Kan Luo. 121-129. (2017)
  • Towards National Robotics Strategy of Canada. Gregor Wolbring; Garnette Sutherland; Alex Ramirez-Serrano; Terry J. Ross; Qiao Sun; Yaoping Hu; Henry Leung; Peter Goldsmith; Ehud Sharlin; Jeffrey F. Dunn; Chris Macnab; Yingxu Wang. 2.1-2.10. (2017)
  • Numerical Analyses of Collective Opinions in Social Networks and Digital Democracy. V. Wiebe*; Y. Wang. (2014)
  • Fuzzy Semantic Models of Fuzzy Concepts in Fuzzy Systems. Y. Wang. 19-24. (2013)
  • Building Cognitive Knowledge Bases for Human-Machine Interactions. Omar A. Zatarain*; Y. Wang; Merhdad Valipour*. 3189-3194. (2017)
  • Merging Minds and Machines: Cognitive Robots and Brain-Inspired Systems. Y. Wang. 2.1-2.20. (2017)
  • A Neural Circuit Theory for Neuroinformatics andCognitive Cybernetics. L. Lin; Y. Wang; J. Jin. (2019)
  • The Spike Frequency Modulation (SFM) Theory for Neuroinformatics and Brain-Machine Inferences. Y. Wang; N. Howard. (2019)
  • Objects Detection and Recognition in Videos for Sequence Learning. T. Tsai*; O.A. Zatarain*; Y. Wang. 211-216. (2019)
  • Sequence Learning for Image Recognition in Videos with Differential Neural Networks. Daniel Graves; Y. Wang; O. A. Zatarain*; T. Tsai*. 117-112. (2019)
  • On Autonomous Systems: From Reflexive, Imperative, and Adaptive Intelligence to Autonomous and Cognitive Intelligence. R. A. Fiorini; Y. Wang; S. Yanushkevich; K. N. Plataniotis; F. Karray; J. Wang; M. Hou; P. Soda; N. Howard; H. Leung; E. Tunstel; S. Patel; S. Kwong. 7-12. (2019)
  • RTPA-based Software Generation by AI Programming. Wang Y; J. Xu*. 41-46. (2019)
  • Dynamic Path Optimization for Robot Route Planning. O.A. Zatarain*; Y. Huang*; Y. Wang. 47-53. (2019)
  • A Cognitive Machine Learning System for Linguistic Phrase Composition and Semantic Comprehension. Yingxu Wang; Mahrdad Valipour*. 24-29. (2018)
  • Brain-Inspired Systems (BIS): Cognitive Foundations and Applications. J. Lu; Yingxu Wang; M. Gavrilova; J. Kacprzyk; R. A. Fiorini. 991-996. (2018)
  • Design and Implementation of a Knowledge Base for Machine Knowledge Learning. Omar Zatarain*; Yingxu Wang. 71-77. (2018)
  • Sentence Comprehensions and Semantic Syntheses by Cognitive Machine Learning. Yingxu Wang; Mehrdad Valipour*. 38-45. (2018)
  • Formal Description of a Supervised Learning Algorithm for Concept Elicitation by Cognitive Robots. M. Valipour*; O. Zatarain*; Y. Wang. (2016)
  • Towards a Fuzzy Logical Algebra (FLA) for Formal Inferences in Cognitive Computing and Cognitive Robotics. Y. Wang. 24-32. (2015)
  • A Formal Model Inspired by Human Decision-Making Process. Y. Wang; J. Cervantes*; F. Ramos. 375-383. (2015)
  • Fine-Grained Differential Harmony Search Algorithm. X. Lin*; Y. Wang; Y. Zhong. 59-66. (2015)
  • Properties and Rules of Concept Algebra. M. Valipour*; Y. Wang. 128-135. (2015)
  • A Cognitive Model of Motor Planning for Virtual Creatures. F. Ramos; Y. Wang; S. Lopez*; J. Cervantes*. 390-398. (2015)
  • Cognitive Algorithms for Determining Concept Similarity and Semantic Relations in Machine Learning based on Concept Algebra. M. Valipour*; O. Zatarain*; Y. Wang. (2016)
  • On Cognitive Foundations of Big Data Science and Engineering. Y. Wang. 252-259. (2016)
  • Big Data Analyses for Collective Opinion Elicitation in Social Networks. V. Wiebe*; Y. Wang. 630-637. (2014)
  • Towards a Theory of Fuzzy Probability for Cognitive Computing. Y. Wang. 21-29. (2014)