Pure Mathematics
| Steven Rayan |
Algebraic geometry, Topology, Representation theory, Moduli Spaces, Mathematical physics, Integrable systems, Quantum matter, Quantum Information |
| Ebrahim Samei |
Harmonic Analysis, Banach Algebras and Operator Spaces |
| J.C. (Jiun-Chau) Wang |
Functional Analysis: non-commutative probability |
| Curtis Wendlandt | Representation theory, Quantum groups, Quantum symmetric pairs, Noncommutative algebra, Infinite-dimensional Lie algebras |
Applied Mathematics
| Alexey Shevyakov |
Mathematical Modelling of Complex Nonlinear Phenomena; Symmetry Methods and Exact Solutions of Partial Differential Equations; Symbolic and Numerical Scientific Computation; Complex Fluid and Plasma Flows; Nonlinear Materials; Biological Applications |
| George Patrick |
Classical mechanics, Hamiltonian systems with symmetry, structure preserving numerical simulation, mathematical physics |
| Artur Sowa |
Mathematical physics, Mathematical modeling |
| Jacek Szmigielski |
Integrable systems, mathematical physics |
Discrete Mathematics
| Gary Au |
Discrete Optimization, Combinatorics, and Mathematics Education
|
| Chris Soteros |
Statistical physics, applied combinatorics, Monte Carlo simulation |
Statistics
| Miķelis G. Bickis |
(Emeritus) Probability and Statistics |
| Trang Bui |
Experimental Design, AI Evaluation and Monitoring, Spatial and Network Econometrics, Causal inference and Machine Learning |
| Shahedul Khan |
Modeling changepoint data, Longitudinal data analysis, Bayesian inference and Markov Chain Monte Carlo, Survival Analysis |
| William H. Laverty |
Applied statistical methods |
| Longhai Li |
Bayesian Classification & Regression, Monte Carlo Methods, Machine Learning, Bioinformatics |
| Juxin Liu |
Interation models, errors-in-variable models, missing data analysis, Markov chain Monte Carlo (MCMC) methodolgy |
| Chris Soteros |
Statistical physics, applied combinatorics, Monte Carlo simulation |
| Raj Srinivasan |
Queuing networks and Applied Probability Models |
| Li Xing |
Analysis of Big Omics Data, Bioinformatics, Machine Learning, Bayesian Methods, Longitudinal Data Problem, and Biostatistics |