Summary
Javed Iqbal is a Senior Computer Vision Researcher with eight years of experience building practical deep learning solutions for human segmentation, semantic segmentation, 3D reconstruction, and orientation-aware object detection. Currently at Roll Camera Inc., he focuses on video matting and robust human segmentation, drawing on a PhD from ITU where he advanced domain adaptation techniques to bridge synthetic and real-world datasets for autonomous driving and satellite imagery. His work spans both academic and applied settings—from leading funded 3D pose and point-cloud refinement projects with ETRI to collecting and annotating a 11,000-image dataset for orientation-aware firearms detection. Known for translating research into deployable systems, he combines strong publication and reporting experience with hands-on implementation across CPU/GPU environments. Based in Islamabad, he brings interdisciplinary strengths in remote sensing, immersive media, and practical ML engineering to tackle challenging visual-understanding problems.
8 years of coding experience
7 years of employment as a software developer
Electrical Engineerinng, Electrical and Electronics Engineering, A, Electrical Engineerinng, Electrical and Electronics Engineering, A at COMSATS Institute of Information Technology, Islamabad, Pakistan
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Information Technology University
MS Electrical Engineering, Control Automation and Machine Learning, A, MS Electrical Engineering, Control Automation and Machine Learning, A at COMSATS Institute of Information Technology, Islamabad, Pakistan.
English, Urdu, Pashto, Punjabi