ICCRDec. 4-6, 2025

Dr. Subhas Mukhopadhyay, Professor

FIEEE (USA), FIEE (UK), FIETE (India)
School of Engineering, Macquarie University, Australia

Biography: Subhas holds a B.E.E. (gold medalist), M.E.E., Ph.D. (India) and Doctor of Engineering (Japan). He has over 36 years of teaching, industrial and research experience. Currently he is working as a Professor of Mechanical/Electronics Engineering, Macquarie University, Australia and is the Discipline Leader of the Mechatronics Engineering Degree Programme. His fields of interest include Smart Sensors and sensing technology, instrumentation techniques, wireless sensors and network (WSN), Internet of Things (IoT), Robotics, Mechatronics and Drones etc. He has supervised over 60 postgraduate students and over 200 Honours students. He has examined over 80 postgraduate theses.
He has been co-inventor of 14 patents and published over 500 papers in different international journals and conference proceedings, written ten books and sixty two book chapters and edited twenty conference proceedings. He has also edited forty five books with Springer-Verlag and forty journal special issues. He has organized over 25 international conferences as either General Chairs/co-chairs or Technical Programme Chair. He has delivered 455 presentations including keynote, invited, tutorial and special lectures. As per Scholargoogle, his total citation is 26291 and h-index is 83.
He is a Fellow of IEEE (USA), a Fellow of IET (UK), a Fellow of IETE (India). He is a Topical Editor of IEEE Sensors journal, an associate editor of IEEE Transactions on Instrumentation and Measurements and IEEE Reviews in Biomedical Engineering (RBME). He is EiC of the International Journal on Smart Sensing and Intelligent Systems. He was a Distinguished Lecturer of the IEEE Sensors Council from 2017 to 2022. He chairs the IEEE Instrumentation and Measurement Society NSW chapter.

More details can be available at https://scholar.google.com.au/citations?user=8p-BvWIAAAAJ&hl=en;
https://orcid.org/0000-0002-8600-5907; http://web.science.mq.edu.au/directory/listing/person.htm?id=smukhopa.

Speech Title: Next Generation of Smart Devices, IoT, Robots and Drones

Abstract: The advancement of sensing technologies, embedded systems, wireless communication technologies, nano-materials, miniaturization, vision sensing and processing speed makes it possible to develop smart mechatronics and machine systems. This seminar will discuss recent research and developmental activities on different sensors and sensing system, Mechatronics, (robotics and drones), IoT along with machine visions at Macquarie University as applicable to medical science, biology and environmental monitoring.

Dr. Li Zhang, Professor

FIEEE, FRSC, FAAIA
The Chinese University of Hong Kong (CUHK), Hong Kong, China

Biography: Li Zhang is a Professor in the Department of Mechanical and Automation Engineering (MAE) and a Professor by Courtesy in the Department of Surgery at The Chinese University of Hong Kong (CUHK). He is also a director of the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences (CAS) – CUHK Joint Laboratory of Robotics and Intelligent Systems. Before he joined CUHK as an Assistant Professor in 2012, he worked in Prof. Bradley Nelson’s group as a postdoc and then as a senior scientist and lecturer in the Institute of Robotics and Intelligent Systems (IRIS), Swiss Federal Institute of Technology (ETH) Zurich, Switzerland.
Dr. Zhang’s main research interests include small-scale robotics, from individual and multiple robots to swarms, and their applications for translational biomedicine. He has authored or co-authored over 300 publications, including Science Robotics, Nature Machine Intelligence, Science Advances, Nature Communications, Advanced Materials, Matter, ACS Nano, AFM, TRO, IJRR, SoRo, Annual Review of Control, Robotics, and Autonomous Systems, as the corresponding author. His H-index is 70 and 63 based on Google Scholar Citations and Web of Science, respectively. His research work on artificial bacterial flagella was indexed by the Guinness Book of World Records 2012 for the “Most Advanced Mini Robot for Medical Use.” And his research work on magnetic slime robot was selected as “Top 10 Innovation and Technology News in Hong Kong in 2022”. Dr. Zhang has won several awards from IEEE international conferences, including NANOMED 2010, ICRA 2010, IROS 2012, Living Machines 2013, CASE 2020, ICARM 2020, 3M-NANO 2021, and MARSS 2022. He won the Hong Kong Research Grants Committee (RGC) Early Career Award in 2013, CUHK Young Researcher Award 2017, United College Early Career Research Excellence Merit Award 2018, CUHK Research Excellence Award 2019-20, and RGC Research Fellow (RFS) Award 2021/22. He currently serves as Editor/Associate Editor/Editorial Board Member of ten international journals, such as IEEE TRO, IEEE/ASME T-MECH, IEEE T-ASE, IEEE T-MRB, Advanced Intelligent Systems (Wiley), Biomicrofluidics (AIP), Research (SPJ/AAAS) and Med-X (Springer). Dr. Zhang is a Distinguished Lecturer appointed by IEEE NTC in 2020 and 2021. Since 2012 (after he joined CUHK), he has been acted/acting as PC/PI for over 26 competitive grants from RGC (15 projects including Early Career Award, RFS Award, STG, RIF, EU-RGC, GRF, JLFS, and PROCORE-HK JRS), ITC (8 projects including MRP, Tier-2, Tier-3, PSTS, and TSSSU), the Croucher Foundation (3 projects including Croucher Advanced Study Institute), NSFC and Shenzhen government. He is also Co-PI in 2 RGC CRF projects. Dr. Zhang is an Outstanding Fellow of the Faculty of Engineering at CUHK and elected as a Fellow of IEEE (FIEEE), Royal Society of Chemistry (FRSC) and Asia-Pacific Artificial Intelligence Association (FAAIA).

Dr. Juntao Fei, Professor

Hohai University, China

Biography: Juntao Fei is working as a Professor at the College of Artificial Intelligence and Automation, Director of Institute of Electrical and Control Engineering, Hohai University. He received his M.S and Ph.D. degree from the University of Akron, USA. He was visiting scholars at University of Virginia, USA, North Carolina State University, USA respectively. He ever served as an assistant professor at the University of Louisiana, USA. His fields of interest include neural network, intelligence control, mchatronics and robotics, adaptive control. He is IAAM Fellow, Vebleo Fellow, IEEE Senior Member. He was a Principal Investigator of 30 projects in the last ten years. He has published over 300 papers in Journals and Conferences and five books, 220 SCI Index papers. He authorized 115 invention patents. He has actively served as associate editors for a number of International Journals; chairs for numerous International Conferences. He is an awardee of the Recruitment Program of Global Experts (China). He is selected as the top 0.05% scientists in the world, and "highly cited scholars in China" by Elsevier.

Speech Title: Fuzzy Neural Finite-time Sliding Mode Control of DC-DC Buck Converter

Abstract: This speech will discuss a nonsingular fast terminal sliding mode control (NFTSMC) with a self-organizing Chebyshev fuzzy neural network (SOCFNN) to achieve voltage tracking control of a DC-DC buck converter. The NFTSMC can ensure the finite-time convergence property of the tracking error. The SOCFNNis utilized to estimate the nonlinear dynamics, in which a novel structure learning mechanism is constructed to dynamically generate the number of the fuzzy rules. Both the simulation and experimental comparisons illustrate that the proposed controller presents higher voltage tracking accuracy and faster dynamic response.