Amjad Seyedi
Doctoral Researcher
Department of Mathematics and Operational Research
Polytechnic Faculty of Mons
University of Mons, Belgium
seyedamjad.seyedi@umons.ac.be
I am currently pursuing a PhD in Matrix Theory and Optimization at the University of Mons under the supervision of Prof. Nicolas Gillis. Previously, as a graduate research assistant at the University of Kurdistan, I worked on representation learning with a focus on robustness and generalization. I also led the Algebraic Machine Learning (AML) team, which explores fundamental methods in unsupervised machine learning under Dr. Fardin Akhlaghian's supervision. 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, multi-label classification, and recommendation systems. I also have an Associate and a Bachelor’s degree in Software Engineering.
Research Interests
- Math: linear algebra, numerical analysis, constrained optimization
- Applied math: low-rank approximation, matrix factorization, tensor factorization
- Machine Learning: representation learning, deep learning, unsupervised learning
- Trustworthy ML: generalization, robustness, interpretability, fairness
- Applications: remote sensing, recommendation, multi-view learning
News!
- I am on the organizing committee of the third workshop on Low-Rank Models and Applications (LRMA 25), September 11-12, 2025, in Mons.
- I will attend the Graduate School in Systems, Optimization, Control and Networks (SOCN) Study Day, October 29, 2024, UCLouvain, Belgium.
- I will attend the Autumn School on Constrained Optimization and Machine Learning, October 9-11, 2024, Trier University, Germany.
- I will attend the ALGOPT2024 Workshop on Algorithmic Optimization: Tools for AI and Data Science, August 27-30, 2024, UCLouvain, Belgium.
- My poster is accepted for presentation at the ALGOPT2024 Workshop on Algorithmic Optimization: Tools for AI and Data Science.
- I started my PhD in Matrix Theory and Optimization at Polytech MONS, University of Mons, Belgium, June 18, 2024.
Publications
Google Scholar
A New Bi-Level Deep Human Action Representation Structure based on the Sequence of Sub-Actions
F. Akhlaghian Tab, M. Ramezani, H. Afshoon, A. Seyedi, and A. Moradyani Neural Computing and Applications 2024.
F. Akhlaghian Tab, M. Ramezani, H. Afshoon, A. Seyedi, and A. Moradyani Neural Computing and Applications 2024.
Diverse Joint Nonnegative Matrix Tri-Factorization for Attributed Graph Clustering
A. Mohammadi, A. Seyedi, F. Akhlaghian, and R. Pir Mohammadiani, Applied Soft Computing 2024.
A. Mohammadi, A. Seyedi, F. Akhlaghian, and R. Pir Mohammadiani, Applied Soft Computing 2024.
Enhancing Link Prediction through Adversarial Training in Deep Nonnegative Matrix Factorization
R. Mahmoodi, A. Seyedi, A. Abdollahpouri, and F. Akhlaghian, Engineering Applications of Artificial Intelligence 2024.
R. Mahmoodi, A. Seyedi, A. Abdollahpouri, and F. Akhlaghian, Engineering Applications of Artificial Intelligence 2024.
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
- [source code]
S. Ghodsi, A. Seyedi, and E. Ntoutsi, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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. 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. 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.
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.
A. Lotfi, A. Seyedi, and P. Moradi, IEEE International Conference on Computer and Knowledge Engineering (ICCKE) 2016.
Education
PhD, Jun 2024 - Jun 2028
Mathematics and Operational Research
University of Mons, Mons, Belgium
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
Experience
Team Leader & Thesis Advisor
Algebriac Machine Learning (PhD & MSc), Sep 2020 - Jun 2024 Algebraic Machine Learning Team, University of Kurdistan, Iran (Supervisor: Dr. Fardin Akhlaghian) StudentsGraduate Research Assistant
Machine Learning, Sep 2019 - Jun 2024 Representation Learning Lab, University of Kurdistan, IranTeaching 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 LecturesLab Instructor
Computer Lab, Fall 2019 University of Kurdistan, IranServices
Advising and Mentorship
Reviewer for multiple journals
- Artificial Intelligence Review
- Knowledge-Based Systems
- Digital Signal Processing
- Engineering Applications of Artificial Intelligence
- Mathematics
- Computers and Electrical Engineering
- Journal of Information and Intelligence
