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Manuchehr Aminian

Applied mathematician
Email: maminian@cpp.edu (web scrapers and bot emails welcome)
Assistant professor, Mathematics & Statistics, Cal Poly Pomona
Github
LinkedIn
ORCiD
Google Scholar
Previously...
- Postdoc: Colorado State University, with Michael Kirby
- PhD: UNC Chapel Hill, 2016; with Rich McLaughlin and Roberto Camassa
- BS: University of Colorado Denver, 2010. Cool mentors: Andrei Knyazev, Julien Langou, Lynn Schreyer, Mike Kawai

Recent and upcoming events

Just in case you want to find me, say hello, have coffee, etc. (or regret that you missed me)

Upcoming: Joint Math Meetings, January 2024 (San Francisco)
Upcoming: ICIAM 2023 in August 2023
Data Science and Social Justice extended workshop June-July 2023 at ICERM link
Graduate Student Math Modeling Camp (as a mentor), and subsequent Math Problems in Industry, June 2023
Southern California Applied Math Symposium, May 2023, at UC Irvine (linky)
Invited talk at Joint Math Meetings 2023 re: topological data analysis and mice time series link
Accepted talk at CSU Mathematical Conference 2022 re: passive tracers link
Organized minisymposium re: integrating data in infectious disease modeling at SIAM MDS 2022 link

Research and other activities

Asymptotic analysis and numerical simulation with passive tracer problems (partial differential equations)
Analysis of *omics data associated with host dynamics of infectious disease (L1 regularization; bioinformatic data wrangling)
Analysis of time series data for within-host dynamics of infectious disease (anomaly detection; health scoring; clustering; multimodal data analysis)
Algorithm development for applied topological data analysis (mostly interested in generators right now)
Mathematical modeling, spectral/network methods, machine learning; data visualization
Tool development associated with small town police accountability (QSIDE's SToPA lab)

Teaching

Short of giving my full teaching history, I generally teach:

Programming for computational mathematics
Linear algebra, differential equations
Numerical analysis
Mathematical modeling

I've been teaching undergraduates for about 9 years now (since graduate school). I think I stand out from my peers in how I emphasize programming and computational methods during my teaching, to test the boundaries of theorems. Maybe not so controversial, but I think it's still relatively uncommon.

I also have a small thing for integrating historical documents to enrich my teaching and students' learning.

Advice

A mentor once told me, the advice you get is worth as much as you pay for it. Nevertheless...