It's a website!
Manuchehr Aminian
- Applied mathematician
- Email: maminian@cpp.edu (web scrapers and bot emails welcome)
- Assistant professor, Mathematics & Statistics, Cal Poly Pomona
- Github
- 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: SIAM Annual Meeting, July 2024 (Spokane, WA) (link)
- Upcoming: NetSci, Quebec, Quebec, June 2024 (Quebec, Quebec) (link)
- Upcoming: AMS Western Sectional Meeting, May 4/5
- Upcoming: SOCAMS 2024 at UCSD, April 2024; (link)
- Upcoming: Symposium talk at Emory; April 2024
- Mathematical Approaches for Connectome Analysis; IPAM; February 2024 (link)
- Joint Math Meetings, January 2024 (San Francisco)
- Complex Networks Winter Workshop, December 2023 (Quebec)
- Datathon4Justice 2023, November 17-19, 2023 (link)
- CSU Mathematical Sciences Conference, Bakersfield, CA, November 2023 (link)
- NISS workshop on statistical challenges in the analysis of police use of force, Northfield, MN, November 2023 (link)
- ICIAM 2023, 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)
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)
- Network models of synchronization; polarization
Teaching
Short of giving my full teaching history, I generally teach:- Programming for computational mathematics
- Linear algebra, differential equations
- Numerical analysis
- Mathematical modeling
I also have a small thing for integrating historical documents to enrich my teaching and students' learning.