Faculty

Bio: Andrew J. Mason received the BS in Physics from Western Kentucky University in 1991, the BSEE from the Georgia Institute of Technology in 1992, and the MS and Ph.D. in Electrical Engineering from The University of Michigan, Ann Arbor in 1994 and 2000, respectively. After starting his academic career at the University of Kentucky, since 2001 Dr. Mason has been with the Department of Electrical and Computer Engineering at Michigan State University in East Lansing, Michigan, where he is currently a Professor and a member of the Neuroscience Program and the Environmental Science and Policy Program. His research explores technologies for augmented human awareness and biomedical applications, including microfabricated structures, mixed-signal and embedded circuits, and machine learning algorithms, and his teaching focuses on embedded smart systems and biomedical instrumentation.

Google Scholar Page: https://scholar.google.com/citations?user=4YUNXeQAAAAJ&hl=en

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

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: 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: Josh Siegel is an Assistant Professor of Computer Science and Engineering at Michigan State University and an instructor for multiple programs within the Massachusetts Institute of Technology's Open Learning. He received Ph.D., S.M. and S.B. degrees in Mechanical Engineering from MIT. Josh and his automotive companies have been recognized with accolades including the Lemelson-MIT Student Prize and the MassIT Government Innovation Prize. Dr. Siegel's ongoing research develops architectures for secure and efficient connectivity, applications for pervasive sensing including to vehicle diagnostics, and new approaches to partially and fully automated driving.

Google Scholar Page: https://scholar.google.com/citations?user=Y7530HwAAAAJ&hl=en

Webpage: deeptech.egr.msu.edu

Bio: Sijia Liu received the Ph.D. degree (with All-University Doctoral Prize) in Electrical and Computer Engineering from Syracuse University, NY, USA, in 2016. He was a Postdoctoral Research Fellow at the University of Michigan, Ann Arbor, in 2016-2017, and a Research Staff Member at the MIT-IBM Watson AI Lab in 2018-2020. His research focuses include scalable and trustworthy machine learning, optimization theory and methods, computer vision, and computational biology. He received the Best Student Paper Award at the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’16), and the Best Paper Runner-Up Award at the 38th Conference on Uncertainty in Artificial Intelligence (UAI’22). He has published over 60 papers at top-tier ML/CV conferences. He is currently a Senior Member of IEEE, a Technical Committee (TC) Member of Machine Learning for Signal Processing (MLSP) in the IEEE’s Signal Processing Society, and an affiliated faculty at the MIT-IBM Watson AI Lab, IBM Research. He has organized a series of Adversarial ML workshops in KDD’19-’22 and ICML’22-23, and provided tutorials on Trustworthy and Scalable ML in CVPR’20, NeurIPS’22, AAAI'23, and CVPR'23.

Google Scholar page: https://scholar.google.com/citations?user=C7dO_UgAAAAJ&hl=en

Webpage: https://lsjxjtu.github.io/index.html

Bio: Vishnu Naresh Boddeti is an Associate Professor in the computer science department at Michigan State University. He received a Ph.D. degree in the Electrical and Computer Engineering program at Carnegie Mellon University in 2013. His research interests are in Computer Vision and Machine Learning. He received the best paper awards at BTAS 2013, ACCV 2018, GECCO 2019, SMASIS 202, IJCB 2022 and IJCB 2023.

Google Scholar Page: https://scholar.google.com/citations?user=JKcrO9IAAAAJ&hl=en&oi=ao

Webpage: http://hal.cse.msu.edu

Bio: Dr. Yu Kong is now an Assistant Professor directing the ACTION Lab at Michigan State University. Prior to joining MSU, he was an Assistant Professor at the Rochester Institute of Technology, and a postdoctoral research associate at Northeastern University and University at Buffalo, SUNY. Dr. Kong's research in Computer Vision and Machine Learning has been supported by the National Science Foundation, Army Research Office, and Office of Naval Research, etc. His work has been publishing on top-tier conferences and transactions in the AI community such as CVPR, ECCV, ICCV, T-PAMI, IJCV, etc. He is an Associate Editor for Springer Journal of Multimedia Systems, and also serves as reviewers and PC members for prestige journals and conferences, including T-PAMI, T-IP, T-NNLS, T-CSVT, CVPR, ICLR, AAAI, and IJCAI.

Google Scholar Page: https://scholar.google.com/citations?user=wXA8nb4AAAAJ&hl=en

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

Bio: Dr. Lu is an Assistant Professor in Biosystems Engineering at MSU with research interests in in-field & postharvest sensing and automation, AI & robotics in agriculture, imaging-based phenotyping.

Google Scholar Page: https://scholar.google.com/citations?user=mC5ZTvEAAAAJ&hl=en&oi=ao

Webpage: https://www.egr.msu.edu/bae/profiles/luyuzhen

Bio: Dr. Zhaojian Li is a Red Cedar Distinguished Professor in the Department of Mechanical Engineering at Michigan State University. He obtained an M.S. (2013) and a Ph.D. (2015) in Aerospace Engineering (flight dynamics and control) at the University of Michigan, Ann Arbor. Dr. Li worked as an algorithm engineer at General Motors from January 2016 to July 2017. His research interests include Optimal Control and Machine Learning, with applications to Robotics and Connected Automated Vehicles. He is the author of more than 100 top journal articles and several patents. He is currently the Associate Editor for IEEE Transactions on Control System Technology, IEEE Transactions on Intelligent Vehicles, and ASME Journal of Dynamic Systems, Measurement. His research has been funded by the National Science Foundation, the National Institute of Health, the U.S. Department of Agriculture, the Army, the Office of Naval Research, Ford, DENSOR, T-Mobile, among others. He is a senior member of IEEE and the recipient of the 2025 ASME DCSD Outstanding Young Investigator Award, the 2021 NSF CAREER Award, the 2023 ASABE Engineering Concept of the Year Award, and several Best Paper awards.

Google Scholar Page: https://scholar.google.com/citations?user=3TUhNa0AAAAJ&hl=en

Webpage: https://www.egr.msu.edu/rival/