The FISITA Intelligent Safety Conference China will take place at China SAE’s SAECCE event in Shanghai on 29 October 2020. Junmin Wang, Accenture Endowed Professor in Mechanical Engineering at University of Texas at Austin. He will be speaking at the event about Ground Vehicle Driving Safety Enhancements via Personalized Learning, Prediction, Assistance, and Automation. We asked him a few questions prior to the event:
What are you planning on talking about at the Intelligent Safety Conference and what types of people do you think will benefit most from what you have to say?
I plan to discuss some of our recent work on personalized vehicle control to improve human-vehicle collaboration for safety enhancement. People in both academia (students and faculty) and industry would be interested in it.
Intelligent safety is being developed globally, but there have always been differences between safety regulations and market expectations around the world – do you see these differences encouraging more rapid development in the major economies in Asia, in the US or Europe? Will the differences push the development of different solutions for different markets or do you see regionally successful solutions leading the world and becoming global standards? How do you think this will change the global mobility industry?
I think there are differences as vehicles are integrated parts of our modern society and different regions would see variations on expectation and ways to improve safety in real-world driving. I think making vehicles to be individual human users’ partners may create a pathway for improving roadway safety in the modern world. Intelligence and learning are increasingly important across industry globally.
What attracts you personally to this area and are there any particular advances or changes in intelligent safety that you hope to see happening sooner rather than later?
Automotive systems and controls have been the main areas for my career. Given the high impact that vehicle safety can bring to our society, it is critical that we converge our efforts to push forward the technologies that can eventually benefit humans. I hope to see more and more multidisciplinary endeavours that can empower effective intelligence that makes future vehicles collaborate with individual humans for roadway safety.
Junmin Wang is the Accenture Endowed Professor in Mechanical Engineering at University of Texas at Austin. In 2008, he started his academic career at Ohio State University, where he founded the Vehicle Systems and Control Laboratory, was early promoted to Associate Professor in September 2013 and then very early promoted to Full Professor in June 2016. He also gained five years of full-time industrial research experience at Southwest Research Institute (San Antonio Texas) from 2003 to 2008. Prof. Wang has a wide range of research interests covering control, modeling, estimation, optimization, and diagnosis of dynamical systems, especially for automotive, smart and sustainable mobility, human-machine, and cyber-physical applications. Dr. Wang is the author or coauthor of more than 330 peer-reviewed publications including 168 journal articles and 13 U.S. patents. Prof. Wang is a recipient of numerous international and national honors and awards including 2019 IEEE Best Vehicular Electronics Paper Award, 2018 IEEE Andrew P. Sage Best Transactions Paper Award, 2017 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, and 2011 SAE International Vincent Bendix Automotive Electronics Engineering Award. He is an IEEE Vehicular Technology Society Distinguished Lecturer and Speaker, SAE Fellow, and ASME Fellow.
Dr. Wang received the B.E. in Automotive Engineering and his first M.S. in Power Machinery and Engineering from the Tsinghua University, Beijing, China in 1997 and 2000, respectively, his second and third M.S. degrees in Electrical Engineering and Mechanical Engineering from the University of Minnesota, Twin Cities in 2003, and the Ph.D. degree in Mechanical Engineering from the University of Texas at Austin in 2007.