Contact Info:

Email:	dan.kushnir@yale.edu
Office	(203) 432 1216
Address:	Department of Mathematics 10 Hillhouse Avenue PO Box 28283 Yale University New Haven, CT  06520-8283

Research Interests:

Numerical Analysis, Harmonic Analysis, Pattern Recognition, Machine Learning.

Publications:

1. J. Schumacher, D. Kushnir, A. Brandt, K. R. Sreenivasan, and H. Zilken, Statistics and geometry in high-Schmidt number scalar mixing, Proceedings of the iTi Conference in Turbulence 2005, Progress in Turbulence II, Springer Proceedings in Physics (2005).

2. D. Kushnir, M. Galun, A. Brandt, Fast multiscale clustering and manifold identification, Special Issue on Similarity-Based Pattern Recognition, Pattern Recognition, Vol. 39 No. 10:1876–1891 (2006).

3. D. Kushnir, J. Schumacher, A. Brandt, Geometry of intensive scalar dissipation events in turbulence, Physical Review Letters 97, 124502 (2006).

4. Y. Goldberg, A. Zakai, D. Kushnir, Y. Ritov, Manifold Learning: The Price of Normalization, The Journal of Machine Learning Research (JMLR), Vol. 9, 1909-1939 (2008).

5. D. Kushnir, M. Galun, A. Brandt, Efficient multilevel eigensolvers with applications to data analysis tasks, Accepted to IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI) (2008).