Faculty

Bio: Daniel Morris leads the 3D Vision Lab which seeks to leverage artificial intelligence for solving difficult sensing problems in the automotive and agricultural domains. His work includes multi-sensor fusion for detecting vehicles and pedestrians, for estimating their motion and for tracking. In the agricultural domain, his team developed automated 3D posture estimation for walking swine and was given the MSU Innovation of the Year award for 2022.

Google Scholar Page: https://scholar.google.com/citations?user=IqXi0YcAAAAJ&hl=en

Webpage: https://www.egr.msu.edu/~dmorris/

Bio: Guoming Zhu received the B.S. and M.S. degrees from Beijing University of Aeronautics and Astronautics (currently Beihang University), Beijing, China, in 1982 and 1984, respectively, and the Ph.D. degree in aerospace engineering from Purdue University, West Lafayette, IN, USA, in 1992. He is currently a Gardner Endowed Chair and Professor with the Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA. He was a Technical Fellow in advanced powertrain systems with Visteon Corporation, and a Technical Advisor with Cummins Engine Co., Ltd. He has over 40 years of experience related to control theory, engine diagnostics/control, and vibration control. He has authored or co-authored over 280 refereed technical papers and two books, and he holds more than 40 U.S. patents. His current research interests include powertrain system modeling, identification, and closed-loop control, autonomous and connected vehicle control and optimization, urban air mobility, and vibration suppression of aero-structural systems. Dr. Zhu is a Fellow of SAE and ASME. He is an Associate Editor of ASME Dynamic Systems and Control Letter and an Editorial Board Member of the International Journal of Powertrain. He was the Program Chair of the 2018 ASME Dynamic Systems and Control Conference.

Google Scholar Page: https://scholar.google.com/citations?user=iZO10LIAAAAJ&hl=en&oi=ao

Webpage: www.egr.msu.edu/zhug

Bio: Hayder Radha received the Ph.M. and Ph.D. degrees from Columbia University, in 1991 and 1993, respectively, the M.S. degree from Purdue University, in 1986, and the B.S. (Hons.) degree from Michigan State University (MSU) in 1984, all in electrical engineering. He is currently MSU Foundation Professor of Electrical and Computer Engineering, Director of the Connected and Autonomous Networked-Vehicles for Active Safety (CANVAS) program, and the Director of the Wireless and Video Communications Laboratory (WAVES Lab) at MSU. He was a Principal Member of Research Staff and Fellow at Philips Research (1996-2000). He was also a Distinguished Member of Technical Staff at Bell Laboratories, where he worked from 1986 to 1996. Professor Radha is an IEEE Fellow (2009) and was appointed as a Philips Research Fellow (1998). He received the Amazon Robotics Research Award (2019), Semiconductor Research Consortium Award (2019), Google Faculty Research Award (2014 and 2015), the William J. Beal Outstanding Faculty Award (2015), the Bell Labs Distinguished Member of the Technical Staff Award, the AT&T Bell Labs Ambassador Award, the AT&T Circle of Excellence Award, the MSU College of Engineering Withrow Distinguished Scholar Awards (2003 and 2015), the Microsoft Research Content and Curriculum Award, and three Microsoft Research Awards. He has more than 40 patents granted and more than 300 papers published. His current research areas and interests include autonomous systems’ perception, connected and autonomous vehicles, multimodal sensor fusion, deep learning, information theoretic and signal processing aspects of deep learning and autonomous systems.

Bio: Dr. Tan received his Bachelor's and Master's degrees in automatic control from Tsinghua University, Beijing, China,  in 1995, 1998, respectively,  and his Ph.D. in electrical and computer engineering from the University of Maryland in 2002. From September 2002 to July 2004, he was a Research Associate with the Institute for Systems Research (ISR) at the University of Maryland. In August 2004 he joined the Department of Electrical and Computer Engineering at Michigan State University, where he is currently an MSU Foundation Professor and the Richard M. Hong Endowed Chair. His research interests include underwater robotics, soft robotics, smart materials, and control systems. Dr. Tan's research has been supported by National Science Foundation, Office of Naval Research, National Institutes of Health, U.S. Geological Survey, the Great Lakes Fishery Commission, Toyota, Naval Research Lab, U.S. Department of Transportation, and MSU Foundation, among others.  

Dr. Tan is a Fellow of IEEE and ASME. He received an NSF CAREER Award in 2006, MSU Teacher-Scholar Award in 2010, Withrow Distinguished Scholar Award (senior category) from MSU College of Engineering in 2018, and Distinguished Alumni Award from Department of Electrical and Computer Engineering at University of Maryland in 2018. He has received several Best Paper Awards.  He has served as a Senior Editor for IEEE/ASME Transactions on Mechatronics (TMECH), an Associate Editor/Technical Editor for TMECH, Automatica, and International Journal of Advanced Robotic Systems, and a guest editor for six journal special issues or sections. Dr. Tan has served on the organizing or program committees for a number of international conferences, including serving as the Program Chair for the 15th International Conference on Advanced Robotics (ICAR'2011), General Chair for the 2018 ASME Dynamic Systems and Control Conference (DSCC'2018), Program Chair for the 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM'2020), and General Chair for 2023 American Control Conference (ACC'2023). Dr. Tan is also keen to integrate his research with educational and outreach activities, including serving as Director of an NSF-funded Research Experiences for Teachers (RET) Site program at MSU from 2009 – 2016 and Curator of a robotic fish exhibit at MSU Museum from April 2016 to January 2017. 

Google Scholar Page: https://scholar.google.com/citations?user=tsJSW2MAAAAJ&hl=en

Webpage: https://www.egr.msu.edu/~xbtan/