Summary
Ahmad Humayun is a research scientist at DeepMind with 15 years of experience applying machine learning to video and robotic perception problems. He led the Neural Networks Vision group at Vicarious and has a strong academic foundation—a PhD in computer vision and machine learning from Georgia Tech and an MSc from UCL, where he earned the Microsoft Research Prize and BBC Best Overall Student Prize. His research specializes in motion-based perception, video-scale learning, and discrete optimization for segmentation, blending theoretical rigor with practical systems experience from internships at Facebook AI Research and Microsoft Research. Based in Union City, CA, he combines leadership of research teams with hands-on work on perception pipelines, and has a track record of translating motion cues into robust perceptual models for real-world robotics and vision tasks.
16 years of coding experience
14 years of employment as a software developer
B.Sc. (Hons.), Computer Engineering, B.Sc. (Hons.), Computer Engineering at Lahore University of Management Sciences
Doctor of Philosophy (PhD), Computer Vision / Machine Learning, Doctor of Philosophy (PhD), Computer Vision / Machine Learning at Georgia Institute of Technology
University College London
English, Urdu