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Amjad Seyedi

Graduate Research Assistant

Representation Learning Research Lab
Department of Computer Engineering
University of Kurdistan
amjadseyedi@uok.ac.ir

As a graduate research assistant at the University of Kurdistan, I work on representation learning with a focus on robustness and generalization. I also lead the Algebraic Machine Learning (AML) team, a group that explores fundamental methods in unsupervised machine learning and representation theory. I have a Master’s degree in Artificial Intelligence from the same university, where I worked with Dr. Parham Moradi and Dr. Fardin Akhlaghian on matrix factorization and low-rank approximation for various applications such as semi-supervised learning, recommendation systems, and multi-label classification. I also have an Associate and a Bachelor’s degree in Software Engineering.

Curriculum Vitae

Research Interests

  • Machine learning, Representation learning, Linear algebra
  • Deep learning, Self-supervised/Semi-supervised learning
  • Generalization, Adversarial training, Robust learning
  • Computer vision, Multi-view Learning, Recommendation
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Publications

Google Scholar
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
S. Ghodsi, A. Seyedi, and E. Ntoutsi, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024.
Unsupervised Feature Selection using Orthogonal Encoder-Decoder Factorization
M. Mozafari, A. Seyedi, R. Pir Mohammadiani, and F. Akhlaghian, Information Sciences 2024.
Multi-label feature selection with global and local label correlation
M. Faraji, A. Seyedi, F. Akhlaghian, and R. Mahmoodi, Expert Systems with Applications 2024.
Deep Asymmetric Nonnegative Matrix Factorization for Graph Clustering
A. Hajiveiseh, A. Seyedi, and F. Akhlaghian, Pattern Recognition 2024.
Link Prediction by Adversarial Nonnegative Matrix Factorization
R. Mahmoodi, A. Seyedi, F. Akhlaghian, and A. Abdollahpouri, Knowledge-Based Systems 2023.
Self-Supervised Semi-Supervised Nonnegative Matrix Factorization for Data Clustering - [source code]
J. Chavoshinejad, A. Seyedi, F. Akhlaghian, and N. Salahian, Pattern Recognition 2023.
Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion - [source code]
A. Seyedi, F. Akhlaghian, A. Lotfi, N. Salahian, and J. Chavoshinejad, Information Sciences 2023.
Deep Autoencoder-like NMF with Contrastive Regularization and Feature Relationship Preservation - [source code]
N. Salahian, F. Akhlaghian, A. Seyedi, and J. Chavoshinejad, Expert Systems with Applications 2023.
Asymmetric Semi-Nonnegative Matrix Factorization for Directed Graph Clustering - [source code]
R. Abdollahi, A. Seyedi, and M.R. Noorimehr, IEEE International Conference on Computer and Knowledge Engineering (ICCKE) 2020.
Self-Paced Multi-Label Learning with Diversity - [source code]
A. Seyedi, S. Ghodsi, F. Akhlaghian, M. Jalili, and P. Moradi, Asian Conference on Machine Learning (ACML) 2019.
Dynamic Graph-based Label Propagation for Density Peaks Clustering - [source code]
A. Seyedi, A. Lotfi, P. Moradi, and N.N. Qader, Expert Systems with Applications 2019.
A Weakly-Supervised Factorization Method with Dynamic Graph Embedding
A. Seyedi, P. Moradi, and F. Akhlaghian Tab, IEEE Artificial Intelligence and Signal Processing Conference (AISP) 2017.
A Clustering-based Matrix Factorization Method to Improve the Accuracy of Recommendation Systems
Z. Shajarian, A. Seyedi, and P. Moradi, IEEE Iranian Conference on Electrical Engineering (ICEE) 2017.
An Improved Density Peaks Method for Data Clustering - [source code]
A. Lotfi, A. Seyedi, and P. Moradi, IEEE International Conference on Computer and Knowledge Engineering (ICCKE) 2016.
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Education

Master's Degree, Sep 2015 - Feb 2018
Artificial Intelligence
 University of Kurdistan, Sanandaj, Iran
Bachelor's Degree, Jan 2012 - Jun 2014
Software Engineering
 Amirkabir Technical College, Arak, Iran
Associate Degree, Jan 2009 - Jun 2011
Computer Software
 Technical College of Tabriz, Tabriz, Iran
Student, Sep 2005 - Jun 2007
Computer
 Taleghani Vocational School, Sanandaj, Iran
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Experience

Team Leader & Thesis Advisor
 Algebriac Machine Learning (PhD & MSc), 2020 - present Algebraic Machine Learning Team, University of Kurdistan, Iran (Supervisor: Dr. Fardin Akhlaghian) Students
Graduate Research Assistant
 Machine Learning, 2019 - present Representation Learning Lab, University of Kurdistan, Iran
Teaching Assistant
 Nonnegative Matrix Factorization for Machine Learning (PhD), Fall 2022 Pattern Recognition (MSc), Fall 2018 | Spring 2020 | Spring 2021 | Spring 2022 | Spring 2023 Special Topics in Artificial Intelligence (MSc), Fall 2021 Advanced Concepts in Artificial Intelligence (PhD), Spring 2023 | Fall 2023 University of Kurdistan, Iran Lectures
Lab Instructor
 Computer Lab, Fall 2019 University of Kurdistan, Iran
Master's Students

Mohammad Faraji (2021 - present)
Sparse Coding for Multi-label Feature Selection
Thesis title: [TBD]
Setareh Mohammadi (2021 - present)
Robust Data Representation
Thesis title: [TBD]
Ali Mirgoli (2021 - present)
Recommendation Systems
Thesis title: [TBD]
Reza Mahmoodi (2021 - present)
Link Prediction
Thesis title: [TBD]
Akram Hajiveiseh (2020 - present)
Deep Matrix Factorization for Graph Clustering
Thesis title: Deep Nonnegative Matrix Factorization for Community Detection
Navid Salahian (2020 - present)
Deep Matrix Factorization for Data Representation
Thesis title: Deep Nonnegative Matrix Factorization
Jovan Chavoshinejad (2020 - present)
Self-Supervised Semi-Supervised Learning
Thesis title: Semi-Supervised Nonnegative Matrix Factorization

Students

Current Students
[PhD] Wafa Barkhoda (Supervisor: Dr. Akhlaghian) | 2022-Present
[PhD] Reza Mahmoodi (Supervisor: Dr. Akhlaghian) | 2022-Present
[Master] M. Soran Karimi (Supervisor: Dr. Akhlaghian) | 2022-Present
[Master] Sarina Khaledian (Supervisor: Dr. Akhlaghian) | 2022-Present
[Master] Sayvan Soleymanbeigi (Supervisors: Dr. Daneshfar & Dr. Akhlaghian) | 2022-Present
[Master] Shirin Moradi (Supervisor: Dr. Akhlaghian) | 2023-Present
Alumni
[Master] Setare Mohammadi (Supervisor: Dr. Akhlaghian) | 2021-2023
[Master] Mohammad Faraji (Supervisor: Dr. Akhlaghian) | 2021-2023
[Master] Arina Mohammadi (Supervisors: Dr. Pir Mohammadiani & Dr. Akhlaghian) | 2022-2023
[Master] Akram Hajiveiseh (Supervisors: Dr. Akhlaghian) | 2020-2023
[Master] Reza Mahmoodi (Supervisors: Dr. Abdollahpouri & Dr. Akhlaghian) | 2021-2022
[Master] Jovan Chavoshinejad (Supervisor: Dr. Akhlaghian) | 2020-2022
[Master] Navid Salahian (Supervisor: Dr. Akhlaghian) | 2020-2022
[Master] Maryam Mozafari (Supervisors: Dr. Pir Mohammadiani & Dr. Akhlaghian) | 2021-2022
[Master] Negar Hadipour (Supervisor: Dr. Moradi - Co-Advisor: Dr. Akhlaghian) | 2017-2019
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contact me!

  • Office No. 222
    Department of Computer Engineering
    Faculty of Engineering
    University of Kurdistan
    Sanandaj, Kurdistan, Iran
    amjadseyedi@uok.ac.ir