Posts by Collection

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Portfolio item number 2

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Brain Tumor Segmentation (MRI) Permalink

Automatic segmentation of brain tumors in MRI scans using deep learning.

Image Reconstruction from Feature Maps Permalink

Reconstruct images from CNN feature maps using decoder networks trained on Tiny ImageNet.

Saliency Map Prediction Permalink

Predict human visual attention maps from images using deep learning.

Paper Title Number 1

Published in Journal 1, 2009

This paper is about the number 1. The number 2 is left for future work.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Paper Title Number 2

Published in Journal 1, 2010

This paper is about the number 2. The number 3 is left for future work.

Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3

Published in Journal 1, 2015

This paper is about the number 3. The number 4 is left for future work.

Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Presentation on Generative Models and Their Applications

Published: December 21, 2024

I was invited by the University of Kashan AI Association to deliver a presentation on generative models and their applications. The presentation was structured into several sections, each focusing on different aspects of generative models.

Machine Learning Hands-On Tutorials

Machine Learning course, University of Tehran, Department of Electrical and Computer Engineering, 2023

In my role as a teaching assistant for the Machine Learning course (Spring 2022, 2023), I created interactive tutorials to introduce key concepts such as Linear & Nonlinear Regression, Regularization, Logistic Regression, Density Estimation (via Non-parametric methods), Kernel Regression, Decision Trees, Neural Networks, and Convolutional Neural Networks (CNNs). To aid student understanding, I complemented the material with instructional videos available as YouTube tutorials, providing comprehensive explanations in Persian.

Robustness and Generalization via Generative Adversarial Training

Trustworthy AI course, University of Tehran, Department of Electrical and Computer Engineering, 2024

In the Trustworthy AI course, I was invited as a guest instructor to present the “Robustness and Generalization via Generative Adversarial Training” paper after completing the initial sections on generalization and robustness. The objective was to enhance students’ understanding of these concepts by discussing a related research paper.