Morteza Homayounfar

PHD Student at Delft University of Technology

Delft, South Holland, Netherlands
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Morteza Homayounfar is a PhD student at TU Delft conducting joint research with Erasmus MC, bringing nine years of experience in AI-driven medical image analysis and ubiquitous computing. He has a strong academic and research background from Amirkabir University (MSc) and hands-on research roles at The University of Hong Kong, where he advanced deep learning applications for medical imaging. Proficient in Python, shell scripting, and deep learning frameworks, he bridges engineering rigor with clinical-oriented problem solving. Based in the Randstad, he combines electrical engineering foundations with biomedical expertise to translate research into practical imaging tools. Notably, his profile reflects a sustained focus on applied AI in healthcare rather than purely theoretical work, positioning him to drive translational impact between academia and clinical partners.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Urmia University of Technology
bookAmirkabir University of Technology

Github contributions (5)

github-logo-circle
mohofar/Smartwatch-battery

Jul 2019 - Apr 2024

Contributions:4 pushes, 1 branch in 4 years 9 months
mohofar/NICE-KLMS-QkLMS

Aug 2018 - Apr 2022

Contributions:11 commits, 8 pushes, 1 branch in 3 years 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Morteza Homayounfar - PHD Student at Delft University of Technology