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: Hee Rin Lee is an Assistant Professor in the Department of Media and Information at Michigan State University. Her research focuses on Human-Robot Interaction (HRI) to design and evaluate robots for social good. Lee aims to empower socially marginalized groups, such as older adults, family caregivers , union workers, and socioeconomically underserved communities by strengthening their autonomy and effecting positive change. Lee's research has been recognized with a Best Paper Award and four Best Paper Nominations at flagship Human-Computer Interaction (HCI) conferences, including CSCW, HRI, UbiComp, and CHI.
Google Scholar Page: https://scholar.google.com/citations?user=t8lUL5AAAAAJ&hl=en&oi=ao
Webpage: www.heerinlee.com
Bio: Nilay Kant received his B.Tech. degree in Mechanical Engineering from the Indian Institute of Technology (IIT) Delhi, India, in 2015. He pursued his Ph.D. degree in Mechanical Engineering at Michigan State University, East Lansing, Michigan, USA in from 2015 to 2020. He was a visiting student researcher at the NASA Jet Propulsion Laboratory, Pasadena, California. After getting his doctoral degree, he worked as a Senior Mechatronics and Control Engineer at Nexteer Automotive Corporation, Saginaw, Michigan and as a Senior Controls Engineer at Mainspring Energy, Menlo Park, California, USA. Dr. Kant received the outstanding graduate student award for his doctoral research at Michigan State University. He has published close to 20 papers in top peer reviewed journals and conferences in robotics and control. His research interests include impulsive control, underactuated robots, dynamics and control of mechanical systems and energy efficient technologies. His hobbies are singing, playing flute and cricket.
Research areas: Controls, Robotics, Impulsive Control, Underactuated Systems, Energy Efficient Technologies
Google Scholar Page: https://scholar.google.com/citations?user=v-BjEv4AAAAJ&hl=en&oi=ao
Bio: Rajiv Ranganathan is an associate professor in the Department of Kinesiology. His research interests are in the area of motor learning and bio-mechanics. He is particularly interested in how humans produce skilled and coordinated movement, and how this ability is altered in the context of development, aging, and movement disorders. He uses a combination of both experimental techniques – such as motion capture, robotics and virtual reality – as well as biomechanical modeling and computer simulations to understand the mechanisms underlying the control of human movement. The overarching goal of his research program is to develop novel training paradigms to facilitate motor skill learning and the rehabilitation of movement disorders.
Google Scholar Page: https://scholar.google.com/citations?user=gOOIBfIAAAAJ&hl=en
Bio: Dr. Lin has been focused on fundamental problems associated with the mechanical failures of soft materials and the longevity of soft machines. The research in Lin Research Group at MSU, at the intersection of solid mechanics, polymer science, and advanced manufacturing, aims to understand the processing-structure-property relationships of soft materials, thereby pushing the limit of mechanical and physical properties of soft materials. Our mission is to leverage Extreme Soft Materials for developing next-generation technologies including in-situ bioelectronics, sustainable water harvesting, and efficient polymer recycling.
Google Scholar Page: https://scholar.google.com/citations?user=p6j78JoAAAAJ&hl=en
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: Vaibhav Srivastava received the B.Tech. degree (2007) in mechanical engineering from the Indian Institute of Technology Bombay, Mumbai, India; the M.S. degree in mechanical engineering (2011), the M.A. degree in statistics (2012), and the Ph.D. degree in mechanical engineering (2012) from the University of California at Santa Barbara, Santa Barbara, CA.
Dr. Srivastava is currently an Associate Professor of Electrical and Computer Engineering at Michigan State University. He is also affiliated with Mechanical Engineering, Cognitive Science Program, and Connected and Autonomous Networked Vehicles for Active Safety (CANVAS). He served as a Lecturer and Associate Research Scholar with the Mechanical and Aerospace Engineering Department at Princeton University, Princeton, NJ from 2013-2016. He serves on the IEEE Control System Society conference editorial board since 2018. He received the best paper award (as coauthor) at the 2014 European Control Conference. His research focuses on Cyber Physical Human Systems with an emphasis on mixed human-robot systems, networked multi-agent systems, aerial robotics, and connected and autonomous vehicles.
Google Scholar Page: https://scholar.google.com/citations?user=L_K_w18AAAAJ&hl=en
Webpage: https://www.egr.msu.edu/~vaibhav/
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/
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/