PhD student in Machine Learning and Artificial Intelligence in the Computer Science Department at the University of Illinois at Chicago.
My research interests include developing safe AI through imitation learning, optimization, and causal inferencing. I have also worked on developing algorithms for early fault detection in aerospace systems.
PhD in Computer Science, 2024 (Expected)
University of Illinois, Chicago
M.S. in Mechanical Engineering, 2018
University of Maryland, College Park
B.Tech. in Mechanical Engineering, 2015
VIT University, India
Study of the evolution of imitation learning techniques in which an agent learns to perform a variety of different tasks, in contrast to traditional techniques which aim to learn only a single behavior.
Algorithm to alleviate the problem of distributional shift in imitation learning by imposing constraints on non-causal variables during optimization, resulting in a robust imitation agent.
LSTM-type RNN to classify question text as either sincere or insincere. The text was collected from ~1.3M questions posted on the popular community-based, question-and-answer website, Quora.
CNN (Single-shot Multi-Box Detector) and other skin segmentation techniques detect a user’s hand(s) in a live webcam video feed. Used hand location within video feed to enable real-time cursor/keyboard control.
Method to quantify extent of damage and forecast maintenance events using anonymized sensor data from a fleet of 24 aircraft.