Saeid Nahavandi
Distinguished Professor Saeid Nahavandi is currently Swinburne University of Technology’s inaugural Associate Deputy Vice-Chancellor Research and Chief of Defence Innovation. He previously served as Pro Vice-Chancellor (Defence Technologies) and Founding Director of the Institute for Intelligent Systems Research and Innovation, Deakin University. Saeid Nahavandi received a Ph.D. from Durham University, U.K. in 1991. His research interests include autonomous systems, modeling of complex systems, robotics and haptics. He has published over 1300 scientific papers in various international journals and conferences. Saeid was the recipient of the Clunies Ross Entrepreneur of the Year Award 2022 from the Australian Academy of Technological Sciences & Engineering, Researcher of the Year for Australian Space Awards 2021, Australian Defence Industry Awards – Winner of Innovator of the year, The Essington Lewis Awards, and Australian Engineering Excellence Awards – Professional Engineer of the Year.
Professor Nahavandi holds six patents, two of which have resulted in two very successful start-ups (Universal Motion Simulator Pty Ltd and FLAIM Systems Pty Ltd).
Professor Nahavandi is the Vice President: Human-Machine Systems, IEEE SMCS, Senior Associate Editor: IEEE Systems Journal, Associate Editor of IEEE Transactions on Cybernetics.
Professor Nahavandi is a Fellow of IEEE (FIEEE), Engineers Australia (FIEAust), the Institution of Engineering and Technology (FIET). Saeid is a Fellow of the Australian Academy of Technology and Engineering (ATSE).
Chee Peng Lim
Professor Chee Peng Lim received his Ph.D. degree from the University of Sheffield, UK in 1997. His research focuses on CI-based models and their applications. He has published over 600 research papers, edited over 10 books, and received more than 10 best paper awards in international conferences. In collaboration with co-researchers, he has developed multiple award-winning CI-based software tools. These include Gold Medal at Invention and New Product Exposition, Pittsburgh, USA, Gold Medal and Special Award at British Innovation Show, UK, Gold Medal at Geneva International Exhibition of Inventions, Switzerland, and Silver Prize at Open Source Software World Challenge, South Korea.
Professor Peng Shi
Over my 30-year career, I have made sophisticated contributions in the fields of automation and control systems. I have worked with my team members and collaborators to build up significant fundamental pillars of advanced control theory and then demonstrated their feasibility in numerous interdisciplinary applications to cyber-physical systems, human-machine collaboration, network systems, autonomous and robotic systems, and artificial intelligent systems.
My track record demonstrates sustained high productivity, while my increasing trajectory of citations in recent years reflects the future potential for continued ground-breaking research. I am lucky enough to be selected as a Highly Cited Researcher in both Engineering and Computer Science (2014 to present). I have published 25 research monographs (Springer and Wiley), 800+ journal articles (300+ JCR Q1 journals), 250+ peer-reviewed conference papers, 20 edited journal special issues, and 5 book chapters. My work has generated 90,000+ citations and an h-index of 164 (Google Scholar). Of note, 159 of my published articles are/were Highly Cited Papers (ESI 1%), and 25 are/were Hot Papers (ESI 0.1%).
Hailing Zhou
Dr. Hailing Zhou is an Associate Professor in the Department of Mechanical and Product Design Engineering. She received her PhD from Nanyang Technological University, Singapore. Her research interests focus on Robotic Vision, AI, and the engineering applications. She has over three years industry working experience, project delivery and team leadership, including a R&D Principal role in Accenture leading solution deliveries to real-world problems (such as quality control, human behavior analysis, forecasting) in manufacturing and retail domains. Prior to that, she has over seven years of academic experience at Deakin University. She was a senior research fellow on robotic vision, with successful grants and established collaborations with universities and institutes such as DSTG, MIT, USF, and AIMS. She has over 40 publications including those published in high-impact journals such as IEEE Transactions on Image Processing, Pattern Recognition, IEEE Transactions on GeoScience and Remote Sensing and IEEE Transactions on Intelligent Transportation. She also served as an Associated Editor of the IEEE Intelligent Transportation Systems Conference and a program committee member of the IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Adetokunbo Arogbonlo
Dr Adetokunbo is a senior research fellow in Autonomy at Swinburne University. He completed his PhD in engineering specialising in control theory from Deakin University. Prior to joining Swinburne, Adetokunbo successfully delivered several defence and industry projects. He was the systems architect and core control systems designer for the Autonomous Leader-Follower with Obstacle Avoidance project which saw the design, development, and integration of autonomous vehicle technology on a fleet of trucks for the Australian Army. The technology was successfully demonstrated on Victorian public roads with live traffic.