Zahra Dehghanian is a lecturer and PhD candidate in Artificial Intelligence at Sharif University of Technology with a decade of experience teaching and researching machine learning and data science. She balances academic instruction—teaching ML to undergrad and graduate students—with hands-on research in robust and interpretable ML and as a research assistant in the Data Science and Machine Learning Lab. Her industry experience includes senior data scientist work on multivariate time-series forecasting using SCINet and Informer models, and practical spam-detection systems from an earlier internship. Comfortable moving between theory and production, she has repeatedly supported courses from stochastic processes to linear algebra while contributing project code on GitHub. Based in Tehran, she brings a strong statistical foundation from Amirkabir and a track record of applying advanced ML methods to real-world problems.
10 years of coding experience
5 years of employment as a software developer
High School Diploma, Mathematics, High School Diploma, Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Amirkabir University of Technology
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Sharif University of Technology
Contributions:39 commits, 33 pushes, 1 branch in 2 years 6 months
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Zahra Dehghanian - Lecturer at Sharif University of Technology