Doctoral Student, Systems Design Engineering
Vision and Image Processing Lab, University of Waterloo
Office: 2038B, East Campus 4 (EC4) Building
Bio: My research focuses on understanding and interacting with the dynamic, 3D world around us, with a particular emphasis on human behavior.
By combining computer vision, computer graphics, and machine learning, I'm exploring how to capture, perceive, and understand the 4D world
from what we can see in 2D images and videos. My goal is to develop systems that can learn priors about the 4D world from visual data,
enabling us to build more realistic and interactive virtual environments centered around human activity.
Currently, I am a doctoral student at the
Vision & Image Processing Lab under the supervision of
Dr. John S Zelek. I'm jointly working with the Baltimore Orioles of Major League Baseball (MLB) towards developing robust
monocular 3D human modeling solutions for quantitative analysis of baseball players to improve player performance, enable better strategic decisions, and
aid in injury prevention.
My research interests also include puck localization for ice-hockey, unique player identification in low-resolution broadcast videos,
player action recognition, human pose estimation and 3D scene recovery using monocular images.
Previously, I have explored diverse research topics including SLAM for UAVs, visual odometry, camera calibration, and mechanical designing and simulations
for ground vehicles, UAVs and VTOLs. Beyond academia, I am an avid cricket and chess enthusiast who also enjoys travelling, ice-skating and cycling.
Some of the interesting project video demos I have worked in the past can be seen here: PROJECT DEMOS.
A page for all my achievements: WALL OF CERTIFICATES.
Core Interests:
Sports Analysis and Pose Estimation Research
Artificial Intelligence and Robotics Lab
Robotics and Manufacturing Automation Lab
Speech and Image Processing Lab