academic

This page contains information about my academic and professional activities.

Please find a recent copy of my resume here.

My alma mater is IIT, Bombay from where I graduated in 2002 with B.Tech. in Mechanical Engineering. My bachelor's thesis was advised by Prof. Issac. Since then I worked in GE Global Research, Bangalore, as an EEDP (Edison Engineering Developement Program) candidate. At GE I dabbled in various projects from neural networks, to wind simulation, to wind turbine control, to rail loco traction control and really learnt a Lot about team work, project management, six sigma, global teams, working with vendors in Bangalore. This stint encouraged me to pursue career in controls, and I later pursued a PhD at UCSD, under the guidance of Prof. McEneaney.

In summer 2005, I interned at GE Global Research, Niskayuna, NY in Automation & Controls Lab. I worked on a time critical design and prototyping of Realtime hardware in the loop system to simulate medical ventilator system.

In summer 2008, I interned at Ford Research, Dearborn, MI on fuel optimal control of hybrid electric vehicles.

At UCSD, I had been fortunate to be taught by the very best faculty in control, fluids & maths. Here is some of my coursework at UCSD.

Doctoral Thesis

Here is my doctoral thesis and thesis presentation.

Presentations

- Dimensionality and Complexity: abating the two curses. slides for the talk given in UCLA, Southern California Nonlinear Control workshop, June 9th 2007.
- Slides of the senate defence at UCSD, Dec 2007
- Poster for the UCSD Research Expo 2008, San Diego.
- New Fundamental solution to the DREs with time-varying coefficients. slides for the talk given in UCSD, Southern California Nonlinear Control workshop, Oct 7th 2008.

Published/submitted papers

Bridging a Gap in Applied Kalman Filtering: Estimating Outputs When Measurements Are Correlated with the Process Noise Focus on Education section in IEEE Controls Systems Magazine, June 2017. An earlier preprint from arxiv.
- Summary: Based on an accidental discovery, this paper makes a case to correct a long-standing bug (30+ years) in almost all known Kalman filter toolbox implementation. Such bug is now corrected in Matlab control design toolbox per this publication. This bug-fix can allow infinite bandwith disturbance estimation for problem that exhibit disturbance feedthrough in measurements, e.g. thrust in measured accelerations in motion control application.

Wind Turbine Controller Design Considerations for Improved Wind Farm Level Curtailment Tracking by A. S. Deshpande and R. R. Peters, accepted for IEEE PES GM 2012. link
Curse-of-Complexity attenuation using Semidefinite programming in solution of HJB PDEs by William McEneaney & Ameet Deshpande, American Control Conference (ACC), 2008.
Payoff Suboptimality and Errors in Value Induced by Approximation of the Hamiltonian by William McEneaney & Ameet Deshpande, 47th IEEE Conference on Decision and Control (CDC), 2008.
Unifying Framework for solving Differential Riccati Equations using Semiconvex Duality by Ameet Deshpande accepted for American Control Conference (ACC), 2009.
- Payoff Suboptimality and Errors in Value Induced by Approximation of the Hamiltonian by William McEneaney & Ameet Deshpande, to appear in SIAM Journal on Control and Optimization (SICON).
- Max-Plus Representation for the Fundamental Solution of the Time-Varying Differential Riccati Equatio by Ameet Deshpande, accepted for Automatica. A preprint is also available at Arxiv. Author's copy.