To hell with Georgia
sbansal34 [AT] gatech.edu
PhD in Computer Science

Room 308K
College of Computing
Georgia Institute of Technology
801 Atlantic Drive
Atlanta, GA 30332
USA













About

I am pursuing a PhD in Computer Science at the Georgia Institute of Technology since August 2014. I am affiliated with the Computational Perception Lab (CPL) and the Institute for Robotics & Intelligent Machines (RIM). I am advised by Prof. Aaron Bobick.

My interests pertain to Computer Vision, Machine Learning and Robotics.

I also completed a Master's in Computer Science at Georgia Tech in 2014 and enjoyed my time here so much that I made the decision to stay on. Before this I did a Bachelor's in Computer Engineering from the Delhi College of Engineering, India, in 2010. After graduating, I worked at Bank of America for two years. Broadly, my work was in two aspects of Business Intelligence, that of Data-Warehouse engineering and creating dynamic reports.


Publications

Conferences

  • Kelsey P. Hawkins, Shray Bansal, Nam Vo, and Aaron F. Bobick. Anticipating human actions for collaboration in the presence of task and sensor uncertainty. Accepted in the IEEE International Conference on Robotics and Automation (ICRA), 2014. [PDF]
  • Kelsey P. Hawkins, Nam Vo, Shray Bansal, and Aaron F. Bobick. Probabilistic human action prediction and wait-sensitive planning for responsive human- robot collaboration. In proceedings, Humanoids 2013, Atlanta, USA.[PDF]
  • Workshop

  • Kelsey P. Hawkins, Shray Bansal, Nam Vo, and Aaron F. Bobick. Modeling structured activity to support human-robot collaboration in the presence of task and sensor uncertainty. In the 2nd International Workshop on Cognitive Robotics Systems: Replicating Human Actions and Activities at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), Tokyo, Japan. [PDF]



  • Teaching

  • Teaching Assistant: Spring 2014. CS 7616 - Pattern Recognition.
  • Teaching Assistant: Fall 2013. CS 4495A/GR - Computer Vision.
  • Grader: Spring 2013. CS 3510A - Algorithms




  • Updated: Feb, 2015