May 2021 – Aug 2021 · 3 mos · Remote

• Built a forward imaging model for the Compton sensing project that accounted for spatial resolution ambiguities.
• Validated the new model using Geant4 simulations, providing a proof of concept for its ability to enhance image reconstruction with fewer measurements.

Jun 2018 – May 2024 · 5 yrs 11 mos

• As a part of my PhD research, led and successfully executed multiple research projects with applications in machine learning, computational imaging, computer vision and acoustics.
• Research published in top-tier conferences and journals like CVPR, ICLR, Asilomar, IEEE Transactions on Computational Imaging, etc.
• Our work is actively being used by academics and our research on shift invariance has also been industrially deployed by a sports analytics company based in Switzerland.

Aug 2017 – May 2018 · 9 mos

• Worked as a Teaching Assistant for the undergraduate course ECE-210: Analog Signal Processing at UIUC.
• Responsibilities included conducting office hours and discussion sessions, and managing lab hours.
• Ranked excellent by students for two consecutive semesters.

Aug 2016 – Dec 2017 · 1 yr 4 mos

• As a part of my MS research, worked at the Systems and Networks Research Group, UIUC on wireless networking and sensing.
• Designed and built a wireless sensing system that can detect the presence of eavesdropping RF radios with a >95% accuracy up to 5 m away (published in MobiCom 2018).
• Proposed interference cancellation algorithms that recover leakage signals from the eavesdroppers which are 4-5 orders of magnitude weaker and heavily buried under noise.

Jun 2015 – Jul 2015 · 1 mo · Duke University

• Worked as an undergraduate intern for 2 months at Intelligent Motion Lab, Duke University.
• Ran experiments on Python using Klamp’t toolkit to validate control algorithms for robot-hand docking on uncertain surfaces.

May 2014 – Jul 2014 · 2 mos · IIT Kanpur

• Built a real-time object detection and counting system utilizing classical image processing techniques, with a focus on application in inventory management.
• Research funded by the SURGE fellowship and the completed work published in ICEA 2015.