I received my Ph.D. in 2010 from Carnegie Mellon University,
advised by Tsuhan Chen.
I had the pleasure of spending the last 1.5 years of my grad school life at Cornell University, following my advisor's move.
I am interested in artificial intelligence (AI).
More specifically, my research lies at the intersection of machine learning and computer vision, with forays into natural language processing.
The long-term goal of my research is A-STAR: agents that
see (or more generally perceive their environment through vision, audition, or other senses),
talk (i.e. hold a natural language dialog grounded in their environment),
act (e.g. navigate their environment and interact with it to accomplish goals), and
reason (i.e., consider the long-term consequences of their actions).
Here are some representative projects from my lab:
Joanne Truong, PhD student (2019 — Present); Co-advised with Sonia Chernova
NSF Graduate Research Fellowship Google Women Techmakers Scholarship Adobe Research Fellowship
Andrew Szot, PhD student (2020 — Present); Co-advised with Zsolt Kira
Naoki Yokoyama, PhD student (2020 — Present); Co-advised with Sehoon Ha
Stefan Lee, Postdoc 2016-17, Research Scientist 2017-19. Next position: Assistant Professor, Oregon State University
Outstanding Research Scientist Award, College of Computing, Georgia Tech DARPA Riser
Peter Anderson, Research Scientist 2018-19. Next position: Research Scientist in Language and Vision at Google.
Zhile Ren, Postdoc 2018-19. Next position: Applied Research Scientist, Apple.
Abhishek Das, PhD 2020. Next position: Facebook AI Research.
Facebook Fellowship Adobe Research Fellowship Snap Inc. Research Fellowship Sigma Xi Best Ph.D. Thesis Award, 2021
PhD Thesis: Building agents that can see, talk, and act.
Yash Goyal, PhD 2020. Next position: Samsung AI Lab, Montreal.
Aishwarya Agrawal, PhD 2019. Next position: Google DeepMind / University of Montreal (MILA).
NVIDIA Graduate Fellowship Sigma Xi Best Ph.D. Thesis Award, 2020 Georgia Tech College of Computing PhD Dissertation Award, 2020 Joint AAAI/ACM SIGAI Doctoral Dissertation Award Runner-up, 2019
PhD Thesis: Visual Question Answering and Beyond.
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning (DISCML), 2014.