I am a Ph.D. Student in the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology working in control theory, being advised by Prof. Dong Eui Chang. I work on problems concerning bias estimation in rigid body system measurements. As a part of the lab, I also implement various machine learning algorithms for real world applications.

I graduated with a Dual Degree (B.Tech + M.Tech) in Mechanical Engineering from the Indian Institute of Technology, Bombay where I was advised by Prof. Ravi Banavar in the Department of Systems and Control Engineering.

My profiles can be found here: ORCID, LinkedIn, Google Scholar.

Contact: soham (dot) shanbhag (at) gmail (dot) com

Select Publications

• S. Shanbhag, and D. E. Chang, "Machine Learning Based State Observer for Discrete Time Systems Evolving on Lie Groups." in Engineering Applications of Artificial Intelligence, vol 139, 109576, 2025. 🗋
• S. Shanbhag and D. E. Chang, "Angular velocity and linear acceleration measurement bias estimators for the rigid body system with global exponential convergence," in International Journal of Robust and Nonlinear Control.
• S. Shanbhag and D. E. Chang, "Globally exponentially convergent observer for systems evolving on matrix Lie groups". in Mathematics and Computers in Simulation, vol. 232, pp. 475 — 482, 2025. 🗋
• S. Shanbhag and D. E. Chang, "Globally exponentially convergent observer for the rigid body system on SE(3)," Proc. 61st IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022. 🗋

Teaching

• ME 310: Microprocessors and Automatic Control Lab, Spring 2019
• ME 311: Microprocessors and Automatic Control, Autumn 2018