About me

I'm a Graduate Research and Teaching Assistant with experience in Deep Learning. I recently completed my M.Sc. in Computer Engineering (AI & Bioinformatics) at Sharif University of Technology (SUT), where I had the privilege of conducting 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. [ Slides ]

Research Interests

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

Publications

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. (Feb 2024 – Sep 2024)