Professor Gang Feng is a distinguished scholar and global leader in robotics and intelligent control systems at City University of Hong Kong. He currently serves as Director of the Centre for Robotics and Automation and holds dual Chair Professor appointments in the Department of Biomedical Engineering and Department of Mechanical Engineering. With a PhD in Electrical Engineering from the University of Melbourne earned in 1992 and earlier degrees in Automatic Control from Nanjing Aeronautical Institute, he established his academic foundation during his tenure as Lecturer and Senior Lecturer at the University of New South Wales from 1992 to 1999. His career trajectory has been marked by strategic transitions from theoretical foundations to practical implementations, culminating in his current leadership roles where he bridges engineering disciplines to advance robotic technologies.
Professor Feng's pioneering research in intelligent systems and control has fundamentally reshaped approaches to networked control systems and multi-agent coordination, with his theoretical frameworks becoming standard references in the field. His scholarly output includes over 200 international journal papers, more than 90 of which appear in prestigious IEEE Transactions publications, demonstrating exceptional impact and academic rigor. His groundbreaking work on fuzzy systems earned the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2007, while his sustained contributions were recognized with the 2022 IEEE CIS Fuzzy Systems Pioneer Award, cementing his status as a foundational thinker in computational intelligence. These contributions have enabled significant advancements in autonomous system coordination and decision-making capabilities across diverse application domains from industrial automation to medical robotics.
As a highly influential figure in his discipline, Professor Feng serves in editorial capacities for leading journals including IEEE Transactions on Fuzzy Systems and previously held positions with IEEE Transactions on Automatic Control. His recognition as a Clarivate Analytics Highly Cited Researcher from 2016 to 2022 reflects the extraordinary impact of his work across the global research community. Currently leading multiple major research projects while mentoring the next generation of engineers, he continues to expand the frontiers of robotics through his innovative approaches to system integration and intelligent control. His ongoing work promises to further bridge theoretical advances with practical implementations, driving the next wave of innovation in autonomous systems and intelligent robotics applications worldwide.
