Prashant G. Mehta
Biography
Prashant Mehta received his M.S. degree in Electrical and Computer Engineering from the University of Massachusetts at Amherst in 1996 and the Ph.D. degree in Applied Mathematics from the Cornell University in 2004 (with Prof. Tim Healey). He is now a Professor of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC). He is affiliated with the Coordinated Science Laboratory, the Department of Electrical and Computer Engineering, and the Neuroscience program at UIUC. He was the co-founder and the Chief Science Officer of the startup Rithmio whose gesture recognition technology was acquired by Bosch Sensortec in 2017. Prior to his academic appointment at UIUC in 2005, he worked at United Technologies Research Center (1996-98 and 2002-05) where he invented the symmetry-breaking solution to suppress combustion instabilities. This solution — which helped solve a sixty year old open problem — has since become an industry standard and is widely deployed in jet engines and afterburners sold by Pratt & Whitney.
At UIUC, Prashant works with his students on mathematical and computational aspects of dynamics and control theory. His most significant recent contribution is the feedback particle filter algorithm (see recent projects for details on ongoing research in his lab). He is passionate about working with and mentoring undergraduate and graduate students. His students have won the best paper awards at IEEE CDC 2007, 2009, 2019, and have been finalist for the best paper awards at ACC 2010 and at IEEE CDC 2012. He teaches dynamics and control classes as well as the graduate course sequence on engineering mathematics (see list of courses taught). For his teaching, he frequently makes the Incomplete list of teachers rated as excellent at UIUC.
He serves as an Associate Editor for the IEEE Transactions on Automatic Control (2019-), Systems and Control Letters (2011-14) and the ASME Journal of Dynamic Systems, Measurement and Control (2012-16). He guest edited the special issue of the ASME Journal of Dynamic Systems, Measurement and Control to commemorate the life, achievements and impact of Rudolph E. Kalman. He is a senior member of IEEE, and a member of ASME and SIAM.
Heng-Sheng Chang
I graduated with my Ph.D. in 2025 from the University of Illinois at Urbana-Champaign (UIUC), where I was a part of the Mehta research group. My doctoral work was centered on energy shaping control for soft actuators, a field within soft robotics that I advanced through a combination of innovative design, detailed simulation, and rigorous experimental evaluation. During my time at UIUC, I was honored to serve as a teaching fellow for the ME360 signal processing course in the spring of 2023, an experience that culminated in receiving the Robert E. Miller Excellence in Teaching Award. Following the completion of my Ph.D., I am now a postdoctoral researcher. In this new role, my focus has shifted to language modeling, where I apply my robust research background and problem-solving skills to explore and contribute to the cutting-edge of natural language processing and artificial intelligence.
Anant Joshi
My research is currently on applying particle methods for observer design to problems in reinforcement learning. The project involves studying the ensemble Kalman filter, and finding ways to apply the same idea to solve optimal control problems which appear in reinforcement learning.
Udit Halder is now an Assistant Professor in the Department of Mechanical Engineering at the University of South Florida.
S. Yagiz Olmez is now an Assistant Professor at Hongik University in Seoul, South Korea.
Ph.D. 2025; Duality for Nonlinear Filtering
Tixian Wang is now an Assistant Professor at Hongik University in Seoul, South Korea.
Ph.D. 2025; Duality for Nonlinear Filtering
Heng-Sheng Chang is now a Postdoctoral Researcher at University of Illinois Urbana-Champaign
Ph.D. 2025; Energy Based Modeling, Control and Reconstruction of Soft Continuum Arm
Jin Won Kim is now an Assistant Professor at Hongik University in Seoul, South Korea.
Ph.D. 2022; Duality for Nonlinear Filtering
Amirhossein Taghvaei is now an Assistant Professor at University of Washington in Seattle.
Ph.D. 2019; Design and Analysis of Particle-based Algorithms for Nonlinear Filtering and Sampling
Chi Zhang is now a Data Scientist at Experian DataLabs
Ph.D. 2017; Controlled Particle Systems for Nonlinear Filtering and Global Optimization
Adam Tilton is now a Fellow at Nike
Almost Ph.D. 2015; for his excellent contributions to machine learning for motion sensing applications
Tao Yang is now a Data Scientist at Facebook
Ph.D. 2014; Feedback Particle Filter and its Applications
Kun Deng is now a VP of Application Engineering at Black Sesame Technology
Ph.D. 2013; Model Reduction of Markov Chains with Application to Building Systems
Huibing Yin is now a Software Engineer at Yahoo!
Ph.D. 2012; Noncooperative Static and Dynamic Games: Addressing Shared Constraints and Phase Transitions
Yu Sun is now a Senior Software Engineer at LinkedIn
Ph.D. 2011; An Information Theoretic Study of Modeling and Control of Dynamical Systems
Rohan Arora now a Technical Lead at IBM Thomas J. Watson Research Center
M.S. 2016; Metrics for Analytics and Visualization of Big Data with Applications to Activity Recognition
Shane Ghiotto is now a Principal Engineer at Nike
M.S. 2014; Feedback Particle Filter for Target State Estimation
Krishna Medarametla is now a Senior Manager at highradius
M.S. 2014; Comparison of Two Nonlinear Filtering Techniques - Extended Kalman Filter and the Feedback Particle Filter
Joseph Niedbalski is now a Senior Principal Mechanical Engineer at Abbott Labs, Chicago
M.S. 2007; Full and Reduced Order Estimation of Traffic Dynamics using Markov Chains
Paul Wang is now an Associate at Merill Lunch, Hong Kong
M.S. 2007; Dynamics of Delay Differential Equations in Communication Networks