Conduct research on treatment response prediction for colorectal liver metastases (CRLM) patients using medical imaging and machine learning methods.
Computer Vision Developer
PART Artificial Intelligence Company
Developed and deployed YOLO-based computer vision models for car plate detection and signature localization in official documents, improving robustness and accuracy in real-world scenarios.
Research Collaborator
PINLab, Geneva University Hospital
Worked on organ-at-risk and tumor segmentation using deep learning methods for medical imaging applications in a clinical research environment.
Head of Image Processing Group
Iran’s National Elites Foundation
Led the computer vision team developing non-contact heart rate estimation systems using rPPG from face and palm RGB videos, including data acquisition design, preprocessing pipelines, and integration with mobile and hardware-based solutions.
Engineering Intern
Electro-Xray Company
Performed repair and maintenance of medical imaging systems, including MRI, CT, angiography, C-arm, mammography, and portable radiology devices.
Teaching Assistant
University of Copenhagen | Sharif University of Technology | Amirkabir University of Technology
Assisted in teaching courses on deep learning, medical image analysis, image processing, numerical methods, and medical imaging systems, supporting lectures, assignments, and student projects.
Education
PhD Computer Science
Copenhagen University
Applications of Deep Learning Algorithms for Medical Data Analysis
MS in Biomedical Engineering
Sharif University of Technology
Worked on Medical Image Segmentation Using Deep Learning Methods