Manuchehr Aminian
Associate Professor
Pomona, California, United States
Summary
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Senior🎓
Top SchoolManuchehr Aminian is an applied mathematician and Associate Professor at Cal Poly Pomona with about a decade of research and teaching experience spanning PDEs, passive tracers, and applied topology. He earned his Ph.D. in Applied Mathematics from UNC Chapel Hill and progressed from graduate researcher to postdoc at Colorado State before joining Cal Poly Pomona as faculty. His research bridges theory and computation, with projects in machine learning, anomaly detection, and topological data analysis that emphasize practical algorithms for complex physical systems. Known for combining rigorous analysis with data-driven methods, he often applies TDA and ML tools to study transport phenomena and detect anomalies in dynamical systems. Based in Pomona, California, he brings an educator’s clarity to research translation, supervising student projects that connect advanced mathematics to real-world modeling challenges. An understated strength is his ability to move between pure mathematical techniques and applied computational implementations, making his work both theoretically grounded and practically useful.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at University of Colorado DenverDoctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of North Carolina at Chapel Hill
English, Spanish, German
Github Skills (15)
risk-assessment10
python10
network-analysis9
scientific-computing9
numpy9
persistent5
fractal5
machine-learning2
visualization2
unc1
latex1
time-series1
data-exploration1
differentiation1
machine-learning-models1
Programming languages (6)
Github contributions (5)
maminian/multipripser
Feb 2018 - Dec 2022
Contributions:40 pushes in 4 years 10 months
maminian/maminian.github.io
Feb 2020 - Feb 2023
Contributions:24 commits, 69 pushes, 2 branches in 3 years
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