Research

Exploring computer vision and AI

Research Themes

My work centers on harnessing deep learning and computer vision to interpret visual data and build intelligent systems. I'm drawn to projects that turn raw pixels into actionable understanding.

Current Projects

I'm exploring real-time video processing, efficient recognition pipelines, and applications that bring AI into everyday tools.

Future Directions

Going forward I plan to investigate lightweight models for edge devices and responsible approaches for deploying computer vision in the wild.

Milestones & Publications

2024

Face Recognition Toolkit v1.0

Released a modular pipeline for robust face detection and recognition.

2023

Automatic Vehicle Counting Deployed

Launched traffic-monitoring system used for urban planning studies.

2022

Real-Time Video Matting

Published method for live background removal in video streams.