Amjad Seyedi

Doctoral researcher, Mathematics and Operational Research Department, Faculty of Engineering,University of Mons (UMONS) Rue de Houdain 9, 7000 Mons, Belgium Email: seyedamjad [DOT] seyedi [AT] umons [DOT] ac [DOT] be Google Scholar    GitHub    LinkedIn

About me

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, a group that explores fundamental methods in unsupervised machine learning. I have a Master’s degree in Artificial Intelligence from the same university, where I worked with Dr. Fardin Akhlaghian and Dr. Parham Moradi 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, 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, healthcare

News

• I am on the organizing committee of the third workshop on Low-Rank Models and Applications (LRMA 25), Mons, September 11-12, 2025.

• I will deliver a speech on Matrix Factorization for Machine Learning, STADIUS Center, KU Leuven, Belgium, February 20, 2025.

• I will attend the SOCN Learning theory from first principles course (lecturer: Francis Bach), KU Leuven, Belgium, April 1-3, 2025.

• I will attend the Graduate School in Systems, Optimization, Control and Networks (SOCN) Study Day, UCLouvain, Belgium, October 29, 2024.

• I will attend the Autumn School on Constrained Optimization and Machine Learning, Trier University, Germany, October 9-11, 2024.

• I will attend the ALGOPT2024 Workshop on Algorithmic Optimization: Tools for AI and Data Science, UCLouvain, Belgium, August 27-30, 2024.

• 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.