Eero Simoncelli

LMB_EeroSimoncelli

Appointment

  • Associate Fellow
  • Learning in Machines & Brains

Institution

  • New York University
Departments of Neural Science, Mathematics and Psychology

Country

  • United States

Education

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

About

Eero Simoncelli is a computational biologist. His 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 has been a Howard Hughes Medical Institute (HHMI) investigator, under the program in computational biology.

Awards

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

Bo Simoncelli, E.P. "Optimal estimation in sensory systems." In The Cognitive Neurosciences, edited by M. Gazzaniga, 525–35. 4th ed. Cambridge, MA: MIT Press, 2009.

Wang, Z. et al. "Image quality assessment: from error visibility to structural similarity." IEEE T. Image Process 13, no. 4 (April 2004): 600–12.

Connect

Website