Center for Applied Mathematics and Computation

The Center for Applied Mathematics and Computation involves faculty members and graduate students in the Department of Mathematics and Statistics at the University of Massachusetts who are interested in research and instruction in applied mathematics and scientific computation. The Center supports a research seminar series in Applied Analysis and Computation Seminar. The M.S. Program in Applied Mathematics, a two-year professional degree program for students who seek industrial employment, is also coordinated by the Center.

CAM Coordinator: Markos Katsoulakis

AM Program Director: Markos Katsoulakis

Research Areas

  Fluid dynamics: Hans Johnston, Bruce Turkington, Nathaniel Whitaker, Robin Young

  Mathematical biology: Robert Gardner, Panos Kevrekidis, Nathaniel Whitaker

  Scientific Computing: Qian-Yong Chen, Hans Johnston, Markos Katsoulakis, Panos Kevrekidis, Bruce Turkington, Nathaniel Whitaker

  Nonlinear PDEs: Robert Gardner, Markos Katsoulakis, Andrea Nahmod, Bruce Turkington, Robin Young

  Stochastic modeling, probability and statistical mechanics: Richard S. Ellis, Markos Katsoulakis, Luc Rey-Bellet, Bruce Turkington, HongKun Zhang

  Mathematical physics: Panos Kevrekidis, Luc Rey-Bellet, HongKun Zhang, Yao Wang



Graduate Students

Ph.D. Students: , Chenyu Wang
M.S. Students: Chris Hoogeboom

Recent Graduate Topics Courses:

• Math 646: Ergodic Theory (Luc Rey-Bellet, S05)
• Math 646: Adv. Applied Math. II (Robert Gardner, S11)
• Math 697EG: Evolutionary Game Theory (Luc Rey-Bellet, F09)
• Math 697FA: ST-Fast Algms Parallel Proc. (Hans Johnston, S12)
• Math 697J: Multigrid/Multilevel Methods (Hans Johnston, F06)
• Math 697L: Wave-Packet Analysis and Applications (Andrea Nahmod, S07)
• Math 697SC: ST-Comp Methods Stochastic Sys. (Markos Katsoulakis, F12)
• Math 697U: Stochastic Processes (Luc Rey-Bellet, F07)
• Math 697U: Stochastic Processes (Luc Rey-Bellet, S10)
• Math 697U: Stochastic Processes & Applications (Luc Rey-Bellet, S06)
• Math 697Y/597Y: Nonlinear Dynamical Lattices (Panos Kevrekidis, S09)
• Math 791A: Non-linear Fourier Analysis (Andrea Nahmod, S03)
• Math 797C: Theory of Large Deviations and Applications (Richard S. Ellis, S05)
• Math 797DP: Nonlinear Dispersive PDE (Andrea Nahmod, S12)
• Math 797I: Geophysical Fluid Dynamics (Bruce Turkington, S08)
• Math 797P: ST-Stochastic Diff. Eq. (HongKun Zhang, F11)