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Last Update: 2012.02.03

Scott Acton

VIVA Affiliation

Director, Professor of ECE and BME
2000 - Present

Personal Info

Curriculum Vitae: .pdf

Updated Publications on Google Scholar

Degrees

PhD. Electrical and Computer Engineering, University of Texas at Austin
M.S. Electrical and Computer Engineering, University of Texas at Austin
B.S. Electrical Engineering, Virginia Tech

Biographical Sketch

Scott Acton is a Fellow of the IEEE for "contributions to biomedical image analysis." He is the Editor-in-Chief of the IEEE Transactions on Image Processing.

He has worked in industry for AT&T, the MITRE Corporation and Motorola, Inc. and in academia for the University of Virginia and Oklahoma State University.

Acton has received the following awards: the ARO Young Investigator Award, the Halliburton Outstanding Young Faculty Award, the Eta Kappa Nu Outstanding Young Electrical Engineer -- a national award that has been given annually since 1936, the Outstanding New Teacher Award, the All University Teaching award and several best paper awards. Prof. Acton has served several terms as Associate Editor for the IEEE Transactions on Image Processing and served as an AE for IEEE Signal Processing Letters. Prof. Acton was the 2004 Technical Program Chair and the 2006 General Chair of the Asilomar Conference on Signals, Systems and Computers; he serves on the Steering Committee of Asilomar. He was the 2008 Technical Co-Chair and the 2010 General Co-Chair for the IEEE SW Symposium on Image Analysis and Interpretation. Prof. Acton serves on two IEEE technical committees: the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee and the IEEE Bioimaging and Signal Processing Technical Committee. He is the General Co-Chair for the 2018 International Symposium on Biomedical Imaging.

Teaching

Acton is introducing a new class in 2016 called "How the iPhone Works." Check out the video ...

Watch How the iPhone Works video

Research Interests

Dr. Acton's areas of research include image analysis, with an emphasis on biological and biomedical image analysis. His theoretical interests include graph signal processing, multiscale image representations, diffusion algorithms, dictionary learning, active contours, level sets, image morphology, and image correspondence problems. Applications include bioimaging, neuron morphology and matching, neuron segmentation, cell tracking, cardiovascular image analysis, military tracking, transportation infrastructure, automated inspection, image classification/segmentation, and multimedia content-based retrieval.

Funded Research

  • U.S. DOT
  • Hobby Foundation
  • Jeffress Foundation
  • ARO
  • DARPA
  • NIH
  • VDOT
  • Whitaker Foundation
  • NSF
  • CCAM
  • PocketSonics, Inc.
  • NASA
  • U.S. Army Medical
  • Mellon Foundation
  • U.Va. Cancer Center
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