Brief Bio
I am currently pursuing PhD degree in Mechanical and Aerospace Engineering,
with advisors Sonia Martinez and Nikolay Atanasov.
Prior to this, I received my Master's degree from Purdue University ( 1, 2 )
, and Bachelor's degree from Indian Institute of Technology Guwahati.
Some of my work with undergraduate students and interns at MURO lab is mentioned here.
Research
I am currently working on provably correct distributed estimation in networked systems, and applications to sensor networks.
More recently, I am testing variational inference approach towards distributed estimation for general applications.
News
Sept 2023: Presented a poster on “Distributed Variational Inference for Online Supervised Learning” with a new Turtlebot4 team mapping implementation at SoCal Robotics Symposium 2023.
July 2023: Submitted our work on “Distributed Variational Inference for Online Supervised Learning”
Read here.
Dec 2022: Presented our work on “Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks”
at IEEE CDC 2022
Aug 2022: Our work titled “Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks”
was accepted to IEEE Control Systems Letters
Mar 2022: Senate exam with a talk discussing “Scalable and Efficient Bayesian algorithms for Distributed Estimation and Inference”
Teaching
Teaching assistant for Cooperative Controls [MAE 247 syllabus], Spring 2023: Graded homework solutions and held office hours.
Additional teaching assistant MAE 242, Fall 2022: Discussion sessions and coding tutorials for motion planning.
Teaching assistant for Robot Motion Planning [MAE 242 syllabus], Spring 2022: Prepared homework solutions, created programming assignments, autograders and held office hours.
Teaching assistant for Introduction to Mathematical Analysis [MAE 289A syllabus], Fall 2021: Prepared homework solutions, and held office hours.
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