Amir Mohammad Babaei

Computer Engineering Graduate Student at Sharif University of Technology

Tehran, Iran

CV (Mar, 2025)

💼 I am actively seeking a PhD position for Fall 2025, where I aim to further my research in computer vision and deep learning.

I am a Master’s student in the Computer Engineering Department at Sharif University of Technology (SUT), where I serve as a Research Assistant at the Image Processing Lab (IPL) under the supervision of Prof. Shohreh Kasaei.

My research focuses on Computer Vision, Image/Video Processing, and Machine Learning Applications. I am particularly interested in topics such as image and video super-resolution, efficient generative models, and 3D vision reconstruction techniques like NeRF and Gaussian Splatting.

I have also collaborated with Dr. Alireza Esmaeilzehi, where I worked on image super-resolution research and contributed to the theoretical development of kernel estimation methods. Additionally, I gained valuable experience in machine learning and its applications while working under the supervision of Prof. Maryam Amirmazlaghani during my undergraduate studies at Amirkabir University of Technology (AUT).

I am passionate about solving challenging problems and collaborating with researchers to advance the frontiers of artificial intelligence and computer vision.

News

Mar 15, 2025

We are pleased to announce the publication of the preprint of our survey, A Comprehensive Survey on Knowledge Distillation, on ArXiv.

Jan 19, 2025

Our Paper CLBSR: A deep curriculum learning-based blind image super resolution network using geometrical prior has been accepted at Image and Vision Computing.