Publications | CV | Robots
I am a fourth year Ph.D. candidate in Computer Science at Yale University, advised by Prof. Brian Scassellatti at the Yale Social Robotics Lab working on human-robot collaboration.
Previously, I was a Masters student of Computer Science at University of , Amherst. I was working as a Graduate Research Assistant on my Masters Thesis at Laboratory for Perceptual Robotics, under Prof. Rod Grupen.
I earned my BS in Electronics and Communication Engineering from Manipal Institute of Technology, India where I focused on Embedded System Design and building robots.
I have enjoyed working at Technical University of Dresden (Germany), Nanyang Technological University, (Singapore) and Siemens Corporate Technology, (Munich, Germany).
I have been involved in projects in the domain of Robotics, Ubiquitous Computing, Machine Learning, Deep Learning for Computer Vision and Embedded System Design. Additionally, I am interested in the manipulation and control of robots in chaotic environments.
In my free time, I enjoy travelling, photography and cooking.
- December 2022 - Our paper Interactive Policy Shaping for Human-Robot Collaboration with Transparent Matrix Overlays was accepted to the ACM/IEEE International Conference on Human-Robot Interaction 2023 (HRI 2023), to be held in Stockholm, Sweden
- September 2022 - Our paper titled Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling Robot was accepted to the Conference on Robot Learning 2022 (CoRL 2022), to be held at Auckland, New Zealand
- May 2022 - Our paper titled The Impact of an In-Home Co-Located Robotic Coach in Helping People Make Fewer Exercise Mistakes was accepted to the IEEE International Conference on Robot & Human Interactive Communication 2022 (RO-MAN 2022), to be held at Napoli, Italy (PDF)
- September 2021 - Our paper titled Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images was accepted to the IEEE Winter Conference on Applications of Computer Vision 2022, to be held at Waikoloa, Hawaii. (PDF)
- Spring 2021 - Will be a Teaching Fellow for the graduate level Artificial Intelligence course taught by Brian Scassellati at Yale University.
- December 2020 - Our paper titled Why we should build Robots that both Teach and Learn was accepted to the ACM/IEEE International Conference on Human-Robot Interaction 2021 to be held at Boulder, Colorado (virtual due to COVID) (PDF)
- Fall 2020 - Will be a Teaching Fellow for the course Building Interactive Machines which is a graduate level robotics course taught by Marynel Vazquez at Yale University.
- Fall 2019 - Started working towards a Ph.D. in Computer Science at Yale University
- May 2019 - Graduated with a Masters in Computer Science from UMass Amherst.
- April 2019 - Will start working towards a Ph.D. in Computer Science at Yale University from Fall 2019 advised by Brian Scassellati and Marynel Vazquez at the Yale Social Robotics Lab
- April 2019 - Our paper Pedestrian Detection in Thermal Images using Saliency Maps was accepted to the IEEE Workshop on Perception Beyond the Visible Spectrum at CVPR, 2019 (Long Beach, California). Spotlight Talk Video (PDF)
- Summer 2018 - Received the DAAD RISE Professional Scholarship - 2018 to pursue a research internship with Siemens CT, Munich, Germany
- Fall 2017 - Started Masters in Computer Science at University of Massachsetts, Amherst
- Spring 2017 - Selected for a research internship at Nanyang Technological University, Singapore through the NTU India Connect Program
- October 2016 - Received the Best Student Award for the Batch of 2013-2017, from the Department of Electronics and Communication Engineering, Manipal Institute of Technology, India
- Summer 2016 - Selected for a summer internship at Techniche Universitat, Dresden, Germany
- April 2016 - Our project Road Accident Prevention System was one of the top 10 finalists at the Atmel Embedded Design Challenge, India 2015 among 2000 teams
- December 2014 - Our project Amphibious Rescue and Surveillance Hovercraft Won the Best Project Award in the IoT category of Intel India Innovation Challenge, 2014 among 650 teams Media Coverage
