Applied Mathematics
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More about applied mathematics
Current research interests include:
- 2D materials, quantum materials
- Localization, waves
- Data analysis, machine learning, deep learning
- Signal processing, image processing
- Fluid dynamics, liquid crystals
- Neuroscience, chemotaxis, cancer modeling
- Dynamical systems, climate science
Seminars
Courses, seminars, and working groups provide a collaborative and broad training for graduate students and postdocs.
Faculty
Douglas Arnold
McKnight Presidential Professor
arnold@umn.edu
numerical analysis, differential equations, mechanics, computational relativity.
Jeffrey Calder
Associate Professor
jwcalder@umn.edu
partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision
Maria-Carme Calderer
Professor
mcc@umn.edu
applied mathematics, partial differential equations, dynamical systems, materials sciences, mathematical biology and soft-matter physics
Gregory Handy
Assistant Professor
ghandy@umn.edu
theoretical neuroscience, applied mathematics, stochastic processes, mathematical biology, dynamical systems, and calcium dynamics
William Leeb
Assistant Professor
wleeb@umn.edu
applied mathematics, computational harmonic analysis, signal and image processing, data analysis
Gilad Lerman
Professor
lerman@umn.edu
computational harmonic analysis, analysis of large data sets and statistical learning, bio-informatics
Yulong Lu
Assistant Professor
yulonglu@umn.edu
Mathematical foundations of machine learning and data sciences, applied probability and stochastic dynamics, applied analysis and PDEs, Bayesian and computational statistics, inverse problems and uncertainty quantification
Mitchell Luskin
Professor
luskin@umn.edu
numerical analysis, scientific computing, applied mathematics, computational physics
Svitlana Mayboroda
McKnight Presidential Professor and Northrop Professor
svitlana@umn.edu
analysis and partial differential equations
Duane Nykamp
Associate Professor
nykamp@umn.edu
applied math, mathematical biology, mathematical neuroscience
Andrew Odlyzko
Professor
odlyzko@umn.edu
computational complexity, cryptography, number theory, combinatorics, coding theory, analysis, probability theory, ecommerce, and economics of data networks
Peter Olver
Professor
olver@umn.edu
Lie groups, differential equations, computer vision, applied mathematics, differential geometry, mathematical physics
Fadil Santosa
Professor Emeritus
santosa@umn.edu
applied mathematics and modelling, optimization, imaging
Alex Watson
Assistant Professor
abwatson@umn.edu
Partial differential equations, mathematical physics, numerical analysis, computational physics, data science