David A Clausi

David Clausi is a Professor in the Department of Systems Design Engineering at the University of Waterloo.

His research interests lie in computer vision, image processing, and pattern recognition with an emphasis on the automated interpretation of satellite imagery.

Professor Clausi is a multidisciplinary researcher, publishing refereed journal and conference papers in the diverse fields including remote sensing, computer vision, and algorithm design. His research work has led to successful commercial implementations including the creation and selling of a startup company (CREZ). After successful product deployment and sales, CREZ was purchased by Pointstreak Sports Technologies in 2011.

As of result of his teaching and research work, Professor Clausi has received multiple awards including the “Research Excellence and Service to the Research Community” award from the Canadian Image Processing and Pattern Recognition Society (CIPPRS) in 2010. He has also received numerous Outstanding Performance Awards and Distinguished Performance Awards as well as two teaching awards (Sanford Fleming Teaching Excellence Award. University of Calgary Teaching Excellence Award).

• Computer Vision
• Remote Sensing Systems
• Sports Analytics
• Sea Ice Monitoring
• Artificial Intelligence
• Machine Learning
• Digital Image Processing
• Pattern Recognition
• Satellite Imagery
• Signal Processing

• 1996, Doctorate, Systems Design Engineering, University of Waterloo
• 1992, Master's, Systems Design Engineering, University of Waterloo
• 1990, Bachelor's, Systems Design Engineering, University of Waterloo

• SYDE 633 - Remote Sensing Systems
  • Taught in 2016, 2017, 2018
• SYDE 121 - Digital Computation
  • Taught in 2016, 2017
• SYDE 575 - Image Processing
  • Taught in 2015, 2016, 2017, 2018, 2019

• Xu, Linlin and Wong, Alexander and Li, Fan and Clausi, David A, Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 2016, 695 - 707
• Amelard, Robert and Hughson, Richard L and Greaves, Danielle K and Pfisterer, Kaylen J and Leung, Jason and Clausi, David A and Wong, Alexander, Non-contact wide-field hemodynamic imaging reveals the inverted jugular venous pulse waveform, arXiv preprint arXiv:1604.05213, 2016
• Xu, Linlin and Wong, Alexander and Li, Fan and Clausi, David A, Intrinsic representation of hyperspectral imagery for unsupervised feature extraction, IEEE Transactions on Geoscience and Remote Sensing, 54(2), 2016, 1118 - 1130
• Scharfenberger, Christian and Chung, Audrey G and Wong, Alexander and Clausi, David A, Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images, IEEE Access, 4, 2016, 48 - 60
• Wang, Lei and Scott, K Andrea and Clausi, David A, Improved Sea Ice Concentration Estimation Through Fusing Classified SAR Imagery and AMSR-E Data, Canadian Journal of Remote Sensing, 42(1), 2016, 41 - 52
• Wang, Lei and Scott, K Andrea and Xu, Linlin and Clausi, David A, Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study, IEEE Transactions on Geoscience and Remote Sensing, 54(8), 2016, 4524 - 4533
• Amelard, Robert and Clausi, David A and Wong, Alexander, A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging, arXiv preprint arXiv:1606.09118, 2016
• Deglint, Jason and Gawish, Ahmed and Zuj, Kathryn and Wong, Alexander and Clausi, David and Hughson, Richard L, Active Contours for Measuring Arterial Wall Diameter of Astronauts from Ultrasound Images, Vision Letters, 1(1), 2015
• Schwartz, Shimon and Wong, Alexander and Clausi, David A, Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance, Journal of Visual Communication and Image Representation, 31, 2015, 26 - 40
• Scharfenberger, Christian and Wong, Alexander and Clausi, David A, Structure-guided statistical textural distinctiveness for salient region detection in natural images, IEEE Transactions on Image Processing, 24(1), 2015, 457 - 470