Summary
Osama Mazhar is a machine vision researcher with 10 years of experience applying AI, sensor fusion and digital signal analysis to real-world problems, currently advancing machine vision at Shell in Amsterdam. He combines a strong academic pedigree—PhD in Computer Vision and Robotics and postdoctoral work at TU Delft—with industry roles at Philips and research at CNRS, LIRMM and NED University. His publications and data-augmentation work address extreme lighting and multimodal detection, reflecting a focus on robust, human-centric perception for safety-critical settings. Comfortable moving ideas from theory to product, he has a track record of real-time human–robot interaction systems and deployable vision pipelines. Colleagues describe him as pragmatic and detail-oriented, with a knack for turning complex sensor data into actionable insights that improve operational resilience.
10 years of coding experience
6 years of employment as a software developer
S.S.C., Science, S.S.C., Science at V. M. Public School
H.S.C., Pre-Engineering, H.S.C., Pre-Engineering at Meritorious Science College
Doctor of Philosophy - PhD, Computer Vision and Robotics, Passed Successfully, Doctor of Philosophy - PhD, Computer Vision and Robotics, Passed Successfully at University of Montpellier
Master’s Degree, Mechatronics, Robotics, and Automation Engineering, 3.78 out of 4.0, Master’s Degree, Mechatronics, Robotics, and Automation Engineering, 3.78 out of 4.0 at Universiti Teknologi Malaysia
B.E., Bio-Medical Engineering (Bio-Stream), 80.3% Marks (4th Position), B.E., Bio-Medical Engineering (Bio-Stream), 80.3% Marks (4th Position) at NED University of Engineering and Technology
Master of Science (MS), Computer Vision, 2nd Position, Master of Science (MS), Computer Vision, 2nd Position at Université de Bourgogne
English