I'm Sepehr Rezaee, a Bachelor's student in Computer Science at the National University of Iran, Tehran. My research interests include:
- Modeling disease progression using differential equations and employing Physics-Informed Neural Networks (PINN).
- Developing robust and interpretable machine learning models.
- Analyzing M/EEG data using advanced deep learning techniques.
I have submited papers in prestigious conferences like NeurIPS, focusing on topics such as backdooring out-of-distribution detection methods, scanning trojaned models, and robust novelty detection under style shifts.
My professional experience includes:
- Research Assistant at the Artificial Intelligence and Scientific Computing Lab, Tehran.
- Research Assistant at the Robust and Interpretable Machine Learning Lab, Sharif University of Technology, Tehran.
- Deep Learning and Neuroscience Intern Researcher at the Institute for Research in Fundamental Sciences (IPM), Tehran.
I have received awards and honors, including the Best Ideator Award at the 7th National Young Scientists Festival and ranking among the top 0.5% in the entrance exam.
Additionally, I have served as a Teaching Assistant for Advanced Programming, Data Mining and Analysis, and Basic Programming courses at the National University of Iran. I have also been actively involved in extracurricular activities, acting as an assistant teacher and mentor for the application of Data Science and Artificial Intelligence in various industries.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent