Rate My Professor Yuan Miao

Professor Yuan Miao is a Professor in the College of Arts, Business, Law, Education, and IT at Victoria University, Australia, and serves as the Head of the Information Technology Program. He leads the Next-Gen Informatics & Technology Lab (NITL), a research group dedicated to developing innovative information technology applications in artificial intelligence, machine learning, data analytics, and computational intelligence. The lab's multidisciplinary efforts address societal challenges in areas such as cyber security, healthcare, smart cities, tourism, domestic violence prevention, health informatics, water resource management, services-oriented computing, privacy protection in distributed data mining, and intelligent software agents. Miao's research has been supported by funding from 15 Australian Research Council projects since 2003, with collaborations involving institutions like the Royal Brisbane and Women’s Hospital, CSIRO, Tasmanian Department of Health and Human Services, and Chinese Academy of Sciences.

Miao obtained his PhD from the Department of Automation at Tsinghua University and a B.S. in Mathematics from Shandong University. His distinguished career trajectory includes serving as Associate Professor in the Department of Computer Science and Technology at Tsinghua University, Assistant Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University from 1998 to 2004, Research Fellow at Deakin University, and Senior Research Fellow at the University of Wollongong. With over 2,500 citations on Google Scholar, Miao's influential publications feature works on fuzzy cognitive maps and related computational models, including 'Dynamical cognitive network - an extension of fuzzy cognitive map' (IEEE Transactions on Fuzzy Systems, 2001), 'On causal inference in fuzzy cognitive maps' (IEEE Transactions on Fuzzy Systems, 2000), and 'Transformation of cognitive maps' (IEEE Transactions on Fuzzy Systems, 2009). His contributions advance e-technologies for health, environment, business processes, and legal information management, fostering high commercialization potential through academic-industry partnerships.