I am a postdoc associate in the Computational Bioinformatics and Imaging Lab (CBIL), Bradley Department of Electrical and Computer Engineering at Virginia Tech, VA, USA, working with Prof. Yue (Joseph) Wang on the intersection of AI/ML and medical data processing. Before that, I was a postdoc associate at Cornell University working on AI/ML in medical imaging, and at Rochester Institute of Technology conducting research in the intersection of ML and software security. I received my Ph.D. in Information Technology Engineering from University of Tehran in 2022 with a focus on AI/ML and medical imaging. In particular, my dissertation aimed at exploring deep learning techniques and pushing the boundary of artificial intelligence for the classification of medical images.

My paper on Generative models for On-Demand Security Requirements was accepted at the 45th International Conference on Software Engineering (ICSE’23).

Research interests

• Deep Learning [Multimodal deep fusion][CNN catheter tracking][Multi-view deep fusion] [Yolo catheter tracking]
• Generative AI [GANs for security]
• Medical Data Processing [Medical image processing] [Signal processing][AI for ED overcrowding]

News & announcements

May 2024: Our paper on ML-based 3D Pose Tracking of Cardiac Catheters has been accepted and published in the Journal of AI.
Aug 2023: I’ve joined the ECE department of Virginia Tech (among the top four best ECEs in the US!) as a postdoc associate to expand my research domain to ML-based Human Cellular data processing.
Aug 2022: I’ve joined the WCM department of Cornell University (among the top ten best medical schools in the US!) as a postdoc associate to expand my research domain to ML-based heart disease detection and prevention.
Feb 2022: I’ve joined RIT as a postdoc associate to expand my research domain to ML-based software security and malware detection.