Dr. Ivan Selesnick

Professor

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Biography

Ivan Selesnick is a Professor in the Tandon School of Engineering at New York University, specializing in Electrical and Computer Engineering and Biomedical Engineering. He received his Bachelor of Science, Master of Science, and PhD degrees in Electrical Engineering from Rice University in 1990, 1991, and 1996, respectively. Since joining Polytechnic University in 1997, he has made significant contributions to the fields of signal and image processing, particularly in wavelet-based techniques and sparsity approaches. His research interests encompass signal processing, sparse signal models optimization, and biomedical signal processing, making substantial impacts through various published journal articles. Professor Selesnick has been recognized with several awards, including the Alexander von Humboldt Fellowship and the National Science Foundation Career Award. He became an IEEE Fellow in 2016 and serves as an associate editor for prominent journals in his field, showcasing his commitment to advancing research and education in signal processing.

Research Interests

Experience

Professor

1997-01-01 — Present

NYU Tandon School of Engineering • Brooklyn, NY

Professor at NYU Tandon School of Engineering focusing on Electrical and Computer Engineering and Biomedical Engineering.

Awards

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Alexander von Humboldt Fellowship

1997-01-01
#

National Science Foundation Career Award

1999-01-01
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Jacobs Excellence Education Award

2003-01-01
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IEEE Fellow

2016-01-01

Requirements for New York University Tandon School of Engineering

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Electrical and/or Computer Engineering or preparatory discipline Sufficient mathematics preparation
Application Checklist
  • Online application
  • Official transcripts
  • Two letters of recommendation
  • Statement of Purpose
  • Resume/CV
Specialization Notes

Administered by the Department of Electrical and Computer Engineering.