About

I’m a CVML engineer at Apple, focusing on spatial computing, Apple Vision Pro, and visionOS. My expertise lies in visual SLAM, 3D geometry estimation, and computer vision. Throughout my career, I’ve delved into various computer vision domains, including surveillance cameras, sensor-guided robots, automatic license plate recognition, visual SLAM, 3D reconstruction and mapping.
During my PhD under Prof. Andrew Davison at Imperial College London, we pioneered methods for incremental reconstruction, tracking, and SLAM from event camera data, grounded in rigorous probabilistic principles. Our work earned accolades, including the Best Industry Paper Award at BMVC 2014 and the Best Paper Award at ECCV 2016. I was also recognized as a UK winner and the European champion of the Qualcomm Innovation Fellowship 2014 for my proposal on “Visual SLAM and 3D Reconstruction using an Event-Based Camera.”

Honors & Awards

Best Paper Award
for our paper entitled “Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera”
issued by European Conference on Computer Vision (ECCV) in October 2016

Best Industry Paper
for our paper entitled “Simultaneous Mosaicing and Tracking with an Event Camera”
issued by British Machine Vision Conference (BMVC) in September 2014

Qualcomm Innovation Fellowship 2014 – UK Winner and European Champion
for my research proposal entitled “Visual SLAM and 3D Reconstruction using an Event-Based Camera”
issued by Qualcomm in April 2014