Azim Ahmadzadeh

Azim Ahmadzadeh serves as an Assistant Professor in the Department of Computer Science at the University of Missouri–St. Louis within the College of Arts and Sciences. Holding a Ph.D. in Computer Science from Georgia State University (2021), he maintains office hours in 329 ESH on Mondays and Wednesdays from 5:00-6:30 PM via Zoom or in person, with flexible scheduling options for students.

Education:

• Ph.D. Computer Science, Georgia State University, 2021

Dr. Ahmadzadeh's research pioneers machine learning applications for space weather forecasting, specializing in solar flare prediction through innovative time series analysis and computer vision techniques. His work systematically addresses critical challenges including extreme class imbalance in solar datasets, temporal coherence requirements, and data scarcity through novel algorithmic developments. Key contributions include advanced similarity metrics for multivariate time series, synthetic data generation frameworks, and anomaly detection systems specifically designed for solar observations.

His publication trajectory (2022-2025) reveals a strategic focus on operationalizing machine learning for heliophysics, with significant output in solar filament detection systems (Elements, MAGFILO), time series analysis innovations (Multiscale Dubuc, Ts-miou), and practical guides for scientific data annotation. This work bridges theoretical machine learning with real-world space weather forecasting needs, evidenced by roadmap documents for SEP monitoring and solar research cyberinfrastructure.

Dr. Ahmadzadeh actively develops open resources for the solar physics community including manually annotated datasets, standardized annotation protocols, and ML-ready data pipelines. His research program demonstrates strong interdisciplinary collaboration potential with space agencies and observatories, particularly through contributions to white papers on solar research infrastructure and operational forecasting requirements.