Hello there!


Who I am:

I am currently a Postdoctoral Fellow in Georgia Tech’s School of Interactive Computing, working with Sonia Chernova.

Check out my CV!

What I do:

I study the intersections of robotics, machine learning, and systems engineering. I am broadly interested in building collaborative intelligent systems that can learn in, and adapt to, complex and dynamic environments, by leveraging their interactions with humans. As part of the DCIST project, I am currently working on methods that enable large teams of heterogeneous agents to collaborate with humans in order to solve complex tasks that require intricate coordination.

You can check out a list of my publications here.

My background:

I received my Ph.D. from the University of Connecticut (UConn) in 2018, where I worked with Ashwin Dani. I was also a Graduate Fellow of the UTC Institute of Advanced Systems Engineering (UTC-IASE). As part of my dissertation, I developed computational methods for (i) learning movement primitives from demonstrations  with strong theoretical guarantees, and (ii) probabilistic inference of the intentions of human partners during collaborative tasks. Prior to my Ph.D., I received my M.S. from the Department of Electrical and Computer Engineering at the University of Florida, and my B.E. in Instrumentation and Control Engineering from Anna University, Chennai, India.

Recent Updates:

  • I received the college of computing’s Outstanding Post-Doctoral Research Award at Georgia Tech (April 2019).
  • Our paper on multi-coordinate cost balancing for learning from demonstration has been accepted for presentation at the 2019 IEEE International Conference on Robotics and Automation (ICRA). [link]
  • I will be in Austin, TX. during Jan 15-18, 2019, to present our recent work on multi-agent task assignment at the Army Science Planning and Strategy Meeting.
  • I received the Best Presentation from the College of Computing award at the Georgia Tech Postdoctoral Research Symposium (September 2018).
  • Our paper on human-intention-driven robot control has been accepted for oral presentation at the 2018 IFAC Conference on Cyber-Physical & Human Systems (CPHS). [link]
  • Our article on learning pose dynamics from demonstrations was accepted for publication in Autonomous Robots. [link]
  • Our article on Bayesian human intention inference was accepted for publication in the International Journal of Intelligent Robotics and Applications (IJIRA). [link]
  • I gave a talk about our work on human-robot collaboration at Google Brain, NYC (February 2018).