Yuefan Deng received his BA (1983) in Physics from Nankai University in China and his Ph. D. (1989) in Theoretical Physics from Columbia University in New York City. After his postdoctoral training in the Courant Institute of Mathematical Sciences at NYU, he joined the faculty of Stony Brook University, where he was promoted to full professor of Applied Mathematics in 1998.
Prof. Deng’s research covers parallel computing, molecular dynamics, Monte Carlo methods, and biomedical engineering. The latest focus is on the multi-scale modeling of platelet activations and aggregations (funded by US NIH, New York State, and IBM) on supercomputers, parallel optimization algorithms, and supercomputer network topologies. He publishes widely in diverse fields of physics, computational mathematics, and biomedical engineering. He has supervised nearly 30 doctoral theses in applied mathematics and Physics.
Prof. Deng taught more than 15,000 students ordinary differential equations and numerical analysis. He is the recipient (2016) of the State University of New York Chancellor’s Award for Excellence in Teaching.