Scholar
Vedang M. Deshpande
Google Scholar ID: MEw3nOQAAAAJ
Mitsubishi Electric Research Laboratories
Citations & Impact
Citations
143
H-index
7
i10-index
5
Publications
20
Co-authors
20
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Presented 13 papers at the 2025 American Control Conference (ACC) covering topics such as Bayesian optimization, machine learning, model predictive control, and more. Presented 7 papers at the 2024 Conference on Decision and Control (CDC) covering topics such as safety shielding, reinforcement learning, physics-constrained meta learning, and more.
Research Experience
- Currently a Research / Technical Staff and Research Scientist at Mitsubishi Electric Research Laboratories (MERL). Research areas include Optimization, Machine Learning, Multi-Physical Modeling, Control, Signal Processing, Dynamical Systems, Computational Sensing, and Artificial Intelligence.
Education
- Ph.D., Texas A&M University, 2022
Background
- Research interests: nonlinear and robust estimation and control of uncertain dynamic systems. His doctoral research focused on developing theoretical frameworks and algorithms for designing sparse sensing and actuation architectures with optimal instrument precisions. Prior to his doctoral studies, Vedang worked full-time in the software verification and validation group at Honeywell Aerospace.
