Developing models to solve 21st century problems in physical, natural, and social sciences requires both theoretical and empirical understanding. Sophisticated numerical algorithms for extracting important information from data and for running long term model simulations are also critical for effectively utilizing these models. In this REU program, students will learn fundamental concepts and cutting-edge methods in modeling and numerical computation through engagement with data-driven problems drawn from applications of great societal impact. In particular, by motivating the mathematical solvers using real world applications, and by involving research scientists from other disciplines, this REU program will give students a comprehensive experience in problem solving.
Topics will include image reconstruction for ultrasound, MRI, and radar, and game theory with applications to real-world cooperation problems. Instruction will be combined with individual hands-on research experiences and projects, and will include on-site visits to various campus research facilities, as well as guest lectures from the Department of Psychology, the Department of Biology, the Thayer School of Engineering, and the Geisel School of Medicine. Students will have additional opportunities to meet with relevant Dartmouth faculty to discuss their research and get feedback on their results.
Our REU program is supported by NSF and Dartmouth College. All work will be in a collaborative environment with fellow participants, graduate students, and postdocs. Students will undertake research projects and present their findings at the end of the program.
John G. Kemeny Parents Professor of Mathematics
Assistant Professor of Mathematics & Biomedical Data Science
Research projects completed by Dartmouth REU students.
|Imani Carson||Spelman College||Using game theory to model review manipulation in e-commerce|
|Olivia Conway||University of Oklahoma||Effects of vaccine-adverse minority on vaccination dynamics|
|Alexander Ginsberg||Michigan State University||Evolution of Cooperation; Recovering Phase from Complex Fourier Data|
|Xiaoguang Huo||Cornell University|
|Haoran Liu||Arizona State University|
|Jingrong Tian||New York University||Determining the probability that an interval contains a jump discontinuity given Fourier data of a piecewise smooth function|
|Yijia Zhang||Case Western Reserve University||Using ADMM and soft shrinkage for 2D signal reconstruction|