Biography
A Ph.D. candidate in computer vision at the GIPSA laboratory in France, I am currently working on my thesis on AI explainability. I graduated from Grenoble INP university in signal and image processing. As part of my graduation thesis, I focused on generating facial expression recognition for model enhancement. Prior to my master’s program, I had two years of professional experience in image processing. For more information, please see my resume.
Download my resumé.
Interests
- Explainable AI
- Generative AI
- Medical Computer Vision
Education
PhD in Medical Explainable AI and Computer Vision, 2022 - 2025
Grenoble INP University in France
MSc in Signal and Image Processing, 2020 - 2022
Grenoble INP University in France
BSc in Electrical engineering with the major in Telecomunication, 2012 - 2016
Shiraz University in Iran
Skills
Python
Pytorch
Linux
Deep Learning
Computer Vision
Large Language Models
Matlab
CUDA Training
Medical Image Analysis
Experience
PhD Researcher
Designing multimodal models that combine vision and language to assess interpretable radiology reports from chest X-rays.
Research Intern
Improving the performance of a CNN model with generative data.
R&D Member
Building a device based on Thermal Camera.
Data Analyst
iRoad Electronic
Traffic recorders in suburban areas.
Accomplishments
Best Poster Award at the BIOINFORMATICS Conference in Rome, Italy
See certificateAutoML Fall School
Bumblekit Machine Learning Summer School in Healthcare and Biosciences
Giving a speech at GDR IASIS Face, gestures, actions, and Behavior seminar
Facial Expression Recognition with Keras
Programming Fundamentals.
See certificateMachine Learning
See certificatePublications
(2025).
VICCA: Visual interpretation and comprehension of chest X-ray anomalies in generated report without human feedback.
In MLWA.
(2024).
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric.
In BIOINFORMATICS.
(2023).
How far Generated Data Can Impact Neural Networks Performance?.
In VISAPP.
Projects
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