Ph.D. Candidate

Elnaz Barshan


Paul Fieguth

Research interests

My research interests lie in the area of Machine Learning, Computer Vision and Cognitive Science. I am especially interested in developing new Machine Learning algorithms for analyzing structures in massive data sources as well as learning about predictive models based on those structures. Additionally, I am researching about the functionality of human visual system and learn how to model impressive properties of this mysterious system.

Research topics

Computer Vision

Image Segmentation/Classification

Research demos

Skin Cancer Detection


Conference papers

Barshan, E.C. Scharfenberger, M. Lamm, and P. Fieguth, "Resolution Enhancement Based on Shifted Superposition",Society for Information Display's Week 2015, June, 2015. Details

Barshan, E., and P. Fieguth, "Scalable Learning for Restricted Boltzmann Machinespdf", IEEE Conference on Image Processing, 2014. Details

University of Waterloo

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