FEIT Research Excellence Lecture: Professor Hao Ying

In 2001, we introduced the theory of fuzzy discrete event systems (FDES) to tackle uncertainties and subjectivity in real-world problems, particularly in medicine. Unlike traditional discrete event systems, FDES models event-driven systems as fuzzy automata with ambiguous states and transitions. We extended optimal control to FDES and developed a framework using fuzzy vectors and matrices, allowing values between [0, 1]. Recently, we devised algorithms for FDES to autonomously learn event transition matrices from sensor data, eliminating the need for human input. Additionally, we introduced stochastic fuzzy discrete event systems (SFDES), which consist of randomly occurring fuzzy automata with varying probabilities. Our technique determines the number of automata, their transitions, and estimates their probabilities, advancing the capabilities of FDES for complex applications. This presentation discusses these innovations and their implications for solving real-world problems.

  
Dr. Hao Ying is a professor at the Department of Electrical and Computer Engineering, Wayne State University, USA. He has published two fuzzy control books and over 130 journal papers. He received the 2023 IEEE CIS Fuzzy Systems Pioneer Award, which is the highest level honour of the IEEE Computational Intelligence Society, with the citation “For fundamental contributions to model-free fuzzy control theory and its biomedical applications.” Professor Ying is serving as an Associate Editor or a Member of Editorial Board for 17 international journals, including the IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Systems, Man, and Cybernetics: Systems. He is an IEEE Fellow.

 

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UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.