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Eero Simoncelli Computational biologist

Eero Simoncelli’s research interests span a wide range of topics in the representation and analysis of visual images, in both machine and biological systems. Since 2000, he’s been an Investigator of the Howard Hughes Medical Institute, under their program in computational biology.

Awards

Elected Fellow of the Institute of Electrical and Electronic Engineers (IEEE), 2008.

IEEE Signal Processing Society Best Journal Article Award, 2004.

Alfred P. Sloan Foundation Research Fellowship, 1998.

Relevant Publications

Z. Wang et al, "Image quality assessment: from error visibility to structural similarity," IEEE T. Image Process, vol. 13, no. 4, pp. 600-612, Apr. 2004.

Books

E. P. Simoncelli, "Optimal estimation in sensory systems," in The Cognitive Neurosciences IV, M Gazzaniga, Ed., pp. 525-–535. Cambridge: MIT Press, Oct. 2009.

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Appointment

Associate Fellow Learning in Machines & Brains

Institution

New York UniversityDepartments of Neural Science, Mathematics, and Psychology

Education

PhD (Electrical Engineering and Computer Science) Massachusetts Institute of Technology

MS (Electrical Engineering and Computer Science) Massachusetts Institute of Technology

Country

United States

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