Amjad Seyedi
Doctoral Researcher at UMONS
Mons, Hainaut, Belgium
Summary
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Senior🎓
Top SchoolAmjad Seyedi is a doctoral researcher in Matrix Theory and Optimization at UMONS with eight years of academic and research experience spanning representation learning, matrix factorization, and low-rank approximation. He previously led the Algebraic Machine Learning team and served as a graduate research and teaching assistant at the University of Kurdistan, focusing on robustness and generalization in unsupervised representation methods. His work bridges theoretical mathematics and practical AI applications such as semi-supervised learning, recommender systems, and multi-label classification. Amjad holds an MSc in Artificial Intelligence and bachelor-level training in software engineering, giving him both rigorous theoretical grounding and hands-on engineering skills. Known for exploring fundamental methods in representation theory, he brings a researcher’s depth to problems that require both algebraic insight and applied ML solutions. Based in Mons, Belgium, he is building on a track record of mentoring students and advising theses while advancing his PhD under Prof. Nicolas Gillis.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Amirkabir Technical CollegeDoctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at UMONSMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Kurdistan, SanandajHigh School Diploma, Computer, High School Diploma, Computer at Taleqani Technical SchoolAssociate's degree, Computer Software Engineering, Associate's degree, Computer Software Engineering at Technical College of Tabriz
Github Skills (9)
clustering9
graph8
fairness-ml3
directed-graph2
autoencoder2
clustering-algorithm2
regularization2
matrix-factorization2
graph-theory1
Programming languages (2)
Github contributions (5)
amjadseyedi/DPC-DLP
Jun 2018 - Dec 2022
Dynamic Graph-Based Label Propagation for Density Peaks Clustering
Contributions:31 commits, 28 pushes, 3 branches in 4 years 6 months
clusteringgraphlabel-propagationdensity-peaksgraph-based
amjadseyedi/SPMLD
Sep 2019 - Dec 2022
Contributions:18 commits, 19 pushes, 1 branch in 3 years 3 months
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