Summary
Poorya Mohammadinasab is a PhD candidate in Biomedical Engineering at the Medical University of Vienna and a scientific researcher with the CAROM group at Danube Private University, bringing eight years of research experience in medical imaging and AI. His work focuses on Cone Beam CT reconstruction and optimization techniques to improve image quality and diagnostic utility. He serves as a reviewer for top journals (IEEE Transactions on Image Processing and Medical Imaging, Medical Image Analysis, Pattern Recognition, and others), reflecting recognized expertise in image analysis and computational methods. Poorya combines a strong AI background from a master’s in Artificial Intelligence with practical research roles dating back to 2020, and often bridges algorithm development with clinically relevant evaluation. A Vienna-based researcher, he is known for applying optimization-driven approaches to real-world imaging problems, aiming to accelerate translation from methods to medical practice.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at University of Kashan
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Iran University of Science and Technology
Doctor of Philosophy - PhD Biomedical/Medical Engineering, Doctor of Philosophy - PhD Biomedical/Medical Engineering at Medical University of Vienna
Persian, English