About me

I'm a Graduate Research and Teaching Assistant with experience in Deep Learning. I recently completed my M.Sc. in Computer Engineering at Sharif University of Technology (SUT), where I conducted research under the supervision of Prof. Emad Fatemizadeh and Prof. Mohammad Hossein Rohban. My master's thesis focused on evaluating explainability methods for breast cancer histopathological image classification. [ Thesis ]

Research Interests

Machine Learning / Deep Learning
Explainable AI (XAI)
Computer Vision
Image Processing (General, Medical, Biomedical)
Generative AI

Publications

Infrared Imaging Empowered by Artificial Intelligence for Pediatric Skeletal Triage: A Narrative Review and Future Perspectives

2026

S. Amiri, Pardis Afshar, E. Anjomshoa

Paper Link

Identification of Persistent Radiomics Feature Co-occurrence Across Diverse Tissue Types and Individuals: A Network-Based Analysis of the RADAPT CT Atlas

2026

S.Amiri, Pardis Afshar, M.H Rohban

Paper Link

IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology

2024

Pardis Afshar, S Hashembeiki, P Khani, E Fatemizadeh, M.H Rohban

Paper Link

Research Experience

Biomedical Signal and Image Processing Laboratory (BiSIPL) - EE @ SUT: Medical Image Analysis Using Deep Learning for Diagnostic Applications.

Robust and Interpretable Machine Learning Laboratory (RIML) - CE @ SUT: Explainable Artificial Intelligence (XAI) and Interpretable ML.

Department of Computer Science, Aarhus University, Denmark: Evaluation of XAI methods for Medical Image Analysis and Computer Vision Tasks. (Research Collaborator, Mar 2024 – Sep 2024, Remote)

Research Mentor, Sharif University of Technology: Computer Vision, Image Processing, XAI.