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Fatemeh Seyyedsalehi is an Assistant Professor in the Department of Mathematics and Computer Science at Sharif University of Technology. Her research spans a broad spectrum of machine learning, from modern deep probabilistic and generative models to machine learning theory. She actively bridges the gap between academia and industry, with a proven track record of participating in industrial projects that involve solving complex problems using real-world data.

Dr. Seyyedsalehi earned her B.Sc. in Software Engineering, followed by an M.Sc. and Ph.D. in Artificial Intelligence, all from the Department of Computer Engineering at Sharif University of Technology. She further enriched her research profile as a visiting researcher at the University of California, Berkeley.

 

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Research Interests: 

 

Deep Probabilistic Machine Learning (Generative Models)

Trustworthy Machine Learning

Trustworthiness in LLM Reasoning

Physics Informed Machine Learning 

Machine Learning Theory