Summary
Sasan Asadiabadi is a Head of R&D and deep learning engineer with 8 years’ experience building real-time computer vision systems across medical imaging, automotive in-cabin sensing, and industrial inspection. He holds a PhD in Electrical and Electronics Engineering and combines academic spatio-temporal MRI research with hands-on deployment of lightweight, optimized neural networks in C++ for edge and ARM platforms. His recent work spans breast cancer detection in 2D/3D mammography, monocular 3D gaze and pose estimation for driver monitoring, and end-to-end AI platforms for facade defect localization. Pragmatic about production constraints, he focuses on designing and optimizing models for real-time, data-driven systems rather than purely theoretical gains. Based in the Netherlands, he bridges research and product development, routinely moving algorithms from lab experiments to embedded and clinical applications.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Koç University
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering at Sharif University of Technology
English, Turkish, Persian