
Princeton University
No reviews yet. Be the first to rate Jason!
Jason W. Fleischer is a Professor of Electrical and Computer Engineering at Princeton University within the Engineering faculty. He received his B.A. in Mathematics and Physics from the University of Chicago in 1993 and his Ph.D. from the University of California, San Diego in 1999. After completing his doctorate, he was awarded the Lady Davis Postdoctoral Fellowship in Israel from 2001 to 2004. At Princeton, he directs the Imaging Physics Group and holds affiliations with the Program in Applied and Computational Mathematics, Princeton Materials Institute, and the Omenn-Darling Bioengineering Institute.
Fleischer's research focuses on nonlinear optics and photonics, including soliton dynamics, statistical and condensed-matter physics, biomedical imaging, and computational imaging techniques. His group investigates universal propagation problems in wave systems, utilizing optical platforms for precise control of inputs and direct visualization of outputs. He has been recognized with several prestigious awards, such as the 2012 Fellow of the Optical Society of America, the 2008 Department of Energy Plasma Physics Junior Faculty Award, the 2007 Emerson Electric Company Lawrence Keys '51 Faculty Advancement Award, the Lady Davis Postdoctoral Fellowship (2001-2004), the University of California Regents Fellowship (1994-1999), and the General Atomics Plasma Fellowship (1994-1999).
Key publications include “Observation of two-dimensional discrete solitons in optically induced nonlinear photonic lattices” (Nature, 2003), “Observation of discrete solitons in optically induced real time waveguide arrays” (Physical Review Letters, 2003), “Observation of vortex-ring ‘discrete’ solitons in 2D photonic lattices” (Physical Review Letters, 2004), “Observation of the kinetic condensation of classical waves” (Nature Physics, 2012), “Wrinkles and deep folds as photonic structures in photovoltaics” (Nature Photonics, 2012), and “Nonlinear self-filtering of noisy images via dynamical stochastic resonance” (Nature Photonics, 2010).