Dimitrios Androutsos
Scholar

Dimitrios Androutsos

Google Scholar ID: WuP6jTcAAAAJ
Associate Dean, Faculty of Engineering & Architectural Science - TMU
image processingsignal processing3D imagingstereoscopycomputational photography
Citations & Impact
All-time
Citations
831
 
H-index
17
 
i10-index
23
 
Publications
20
 
Co-authors
15
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Selected Publications: J. Pontalba, T. Gwynne, K. Jakate, D. Androutsos, A. Khademi, 'Assessing the Need for Colour Normalization in Convolutional Neural Network-Based Nuclei Segmentation Frameworks and Downstream Processing,' Frontiers in Bioengineering and Biotechnology, Volume 7, Article 300, November 2019; R. Rzeszutek, D. Androutsos, 'A Framework for Estimating Depth in Video', Computer Vision and Image Understanding, 133(3):15-29, April 2015; R. Phan, D. Androutsos, 'Robust Semi-Automatic Depth Map Generation in Unconstrained Images and Video Sequences for 2D to Stereoscopic 3D Conversion', IEEE Transactions on Multimedia, 16(1), January 2014.
Research Experience
  • Currently, Associate Dean / Undergraduate Studies and Student Affairs, Professor at the Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University. Courses taught include Signals & Systems I, Introduction to Digital Image Processing, Signals & Systems II.
Education
  • 1992, University of Toronto, BASc; 1994, University of Toronto, MASc; 1999, University of Toronto, PhD.
Background
  • Areas of expertise include Digital Signal Processing, Digital Image Processing, Computer Vision, AR/VR, Stereoscopy. Background: His love of math and physics, along with an insatiable desire to understand how things work, drove him toward undergraduate studies in electrical engineering. It wasn’t until third year that he found the specialization that would command his attention for the entirety of his career: image processing.
Miscellany
  • Personal interests include photography.