Summary
Amirreza Mohammadi is a PhD candidate and machine learning researcher with nine years of experience focused on deep recommender systems, graph neural networks, and explainable AI. Based in Innsbruck, he is currently researching methods to explain GNN-based recommenders as part of his doctoral work at Leopold-Franzens Universität. His background spans applied research roles and teaching graduate courses in big data, software engineering, and algorithms, reflecting strong foundations in both theory and pedagogy. He has practical ML engineering experience in recommender systems, graph models, and explainability, and has collaborated internationally as a visiting researcher in Bonn. An early career detail that stands out is his coaching role in sports, suggesting team leadership and mentoring skills beyond academia.
9 years of coding experience
3 years of employment as a software developer
نمونه دولتی علامه طباطبایی
Doctor of Philosophy - PhD, AI - Deep Recommender Systems, Doctor of Philosophy - PhD, AI - Deep Recommender Systems at Leopold-Franzens Universität Innsbruck
Visiting Researcher, Data Analytics, Visiting Researcher, Data Analytics at The University of Bonn
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Institute for Advanced Studies in Basic Sciences, Zanjan