I am a Ph.D. student at Simon Fraser University’s Engineering Science (ENSC) department, with a profound passion for research in computer vision and deep learning. The potential of these technologies to revolutionize aspects of our daily lives, particularly in areas like autonomous driving, has always fascinated me. This fascination has shaped my career goal: to become a leading researcher in computer vision and contribute to technological advancements for current and future generations.
Since 2016, my academic path has evolved significantly, beginning with exploring driver consciousness using EEG signals, advancing to the development of hand gesture recognition for computer mouse control, and then delving into the intersections of information theory and deep learning. This journey has been centered around the development of learned image codecs for human and machine. This area of research is especially vital in fields like autonomous driving, as it ensures real-time and accurate environmental perception and decision-making, significantly enhancing both performance and reliability on the roads.
My key research interests include:
- Computer Vision
- Deep Learning
- Learned Image and Video Compression
Notable projects to which I have contributed or led:
- TensoRF Re-implementation
- Base Layer Efficiency in Scalable Human-Machine Coding
- Rate-Distortion Theory in Coding for Machines and its Applications
- VVC+M: Plug and Play Scalable Image Coding for Humans and Machines
- Control of Computer Pointer Using Hand Gesture Recognition in Motion Pictures
Recently, my focus has shifted towards 3D computer vision, specifically in the realm of NeRF models for 3D reconstruction and novel-view synthesis. This pivot marks a significant and exciting new chapter in my research career.
Outside the lab, I engage in various hobbies to maintain a balanced lifestyle. Regular workouts at the gym, a keen interest in puzzles and board games, along with a fondness for crime movies and series, are among my favorite leisure activities.