About Me

I obtained my PhD in Electrical and Computer Engineering from the University of Arizona in May 2022. My dissertation work provides a workflow of controller design, synthesis, and their real-world deployment for societal-scale systems such as connected-and-autonomous vehicles, and traffic control. I contributed to several projects including (1) Domain-Specific Modeling Techniques for Cyber-Physical Systems, (2) Cyber-Physical Systems Virtual Organization: Active Resources, (3) Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles, (4) REU Site: Cognitive and Autonomous Test Vehicles.

My most recent project is Lagrangian Traffic smoothing using Connected-and-Autonomous Vehicles that concluded on Nov 2022. Visit project's website https://circles-consortium.github.io/ for upto date information. I also worked on FHWA-funded project on model-based desig of traffic signal controller for interfacing with SUMO.

Some of my research at the University of Arizona were done in free-space optical communication to improve channel capacity and bit-error rate using quantum information-theoretic phenomena such as squeezin and quantum-entanglement.

Research Interests: Intelligent Transportation, Cyber-physical Systems, Machine Learning, Quantum Information Science

Employment

  • Post-doctoral Research Fellow, Vanderbilt University, July 2022 - Present
  • Graduate Research Assistant, The University of Arizona, August 2015 - May 2022
  • Instructor, Software Engineering Concepts ECE 473/573, The University of Arizona, January 2021 - June 2021
  • Graduate Teaching Assistant, Programming-II ECE 273, The University of Arizona, August 2019 - December 2019
  • Graduate Supervisor and Instructor, ECE 492, CAT VEHICLE Research Experience for Undergraduates, Every summer, since 2016
  • Application Engineer-II, Oracle, August 2014 - July 2015

Education

  • PhD, Electrical and Computer Engineering, The University of Arizona; May 2022
  • MS, Statistics, The University of Arizona; May 2022
  • MS, Optical Sciences and Engineering, The University of Arizona; August 2021
  • MS, Electrical and Computer Engineering, The University of Arizona; May 2017

Funding Sources

  • ARPA-E
  • National Science Foundation
  • Department of Energy
  • Federal Highway Administration/Leidos

Honors and Awards

  • Best Paper Award, IEEE VNC 2018
  • International Switching Symposium Fellowship (ISS Graduate Fellowship), 2016-2020
  • Michael Pate Optical Sciences Memorial Scholarship, 2020