Education

Degree University GPA Thesis
MSc in Computer Engineering (Artificial Intelligence & Robotics) Sharif University of Technology (SUT) 18.40/20 (4.00/4.00) Blind Image Super-Resolution using Deep Generative Neural Network Architectures
BSc in Computer Engineering Amirkabir University of Technology (AUT) 19.09/20 (3.96/4.00) Graph-based Convolutional Multivariate Time Series Forecasting Approach for Urban Traffic Forecasting

Research Interests

  • Deep Generative Models (VAEs, GANs, Diffusion Models)
  • Image and Video Segmentation
  • Image/Video Restoration
  • 3D Vision Reconstruction (e.g., NeRF, Gaussian Splatting)
  • Computer Vision
  • Knowledge Distillation
  • Natural Language Processing
  • Graph Neural Networks

Publications and Ongoing Work

  • KeyVIS: Improving Weakly-supervised Video Instance Segmentation Using Keypoints Consistency
    Submitted to Iranian Machine Vision and Image Processing Conference (MVIP), October 2025

  • ConsistVIS: Weakly-Supervised Video Instance Segmentation via Embedding Vector Consistency
    Submitted to IEEE Transactions on Multimedia Journal, September 2025

  • A Comprehensive Survey on Knowledge Distillation
    Published in Transactions on Machine Learning Research (TMLR), September 2025 (DOI) (arXiv)

  • CLBSR: A Deep Curriculum Learning-based Blind Image Super-Resolution Network using Geometrical Prior
    Published in Image and Vision Computing Journal, February 2025 (DOI)

  • GSCINet: Graph-based Convolutional Multivariate Time Series Forecasting Approach for Urban Traffic Forecasting

For a full list of my publications, visit my Google Scholar.

Teaching Assistance

Date Course Supervisor University
Fall 2025 Advanced 3D Computer Vision Prof. Kasaei SUT
Spring 2025 Digital Image Processing Prof. Kasaei SUT
Fall 2024 Deep Learning Prof. Beigy SUT
Fall 2024 Advanced 3D Computer Vision Prof. Kasaei SUT
Spring 2024 Fundamental of 3D Computer Vision Dr. Naderi SUT
Spring 2023 Data Mining Prof. Nazerfard AUT
Spring 2023 Applied Linear Algebra Prof. AmirMazlaghani AUT
Spring 2022 Signals and Systems Dr. TermehChi AUT
Fall 2022 Applied Linear Algebra Prof. Nazerfard AUT
Fall 2022 Data Structures and Algorithms Prof. Shirali Shahreza AUT

Professional Experience

Position Organization Duration Description
Data Scientist Bale Messenger May 2023 - Feb. 2024 Contributed to projects including channel classifier, recommender systems, and intelligent advertisement systems.
Machine Learning Engineer Asr Gooyesh Pardaz Jul. 2022 - Sep. 2022 Developed audiovisual speech recognition for Persian language and created Persian audiovisual datasets.

Projects

Project Description Link
Deep Learning Homework Includes dimensionality reduction, autoencoders, graph embeddings, and reinforcement learning tasks using methods like PCA, t-SNE, VAE View on GitHub
Deep Generative Models Homework Implementations of VAEs, GANs, Diffusion Models (DDPMs), and Energy-Based Models (EBMs) on datasets like MNIST and CIFAR-10 View on GitHub
Digital Image Processing Homework Solutions to assignments covering filtering, transformations, compression, and segmentation View on GitHub
Panorama Implementation of image stitching from scratch using the OpenCV library to create panoramic images.Implementation of image stitching from scratch using the OpenCV library to create panoramic images. View on GitHub
URL-Shortener-as-a-Service Developed a simple URL shortener service configured to run in a Kubernetes cluster. View on GitHub
Information Retrieval Notebooks Completed assignments for the Information Retrieval course at Amirkabir University of Technology, including a final project using ElasticSearch to implement Boolean Queries, Similarity Modulation, and Spell Correction. View on GitHub
Monitoring System Developed a monitoring system for the Computer Networks course to track system states and store them in Prometheus. View on GitHub

For a full list of my projects, visit my GitHub profile.

Skills and Expertise

  • Programming Languages: Python, Java, C/C++, MATLAB
  • Frameworks & Libraries: PyTorch, PyTorch Geometric, TensorFlow, Hugging Face, JAX, OpenCV
  • Tools: Git, Linux, Bash, CUDA, FFmpeg, LangChain, AWS EC2, $\LaTeX$
  • Data Science: Numpy, Pandas, Scikit-learn, Matplotlib, Gradio

Languages

  • English
    • TOEFL iBT: 101
      Reading Listening Speaking Writing
      28 27 23 23
  • Persian (Native)

Contact Information

I am always open to discussing potential collaborative research. Please feel free to reach out!