David Clausi | PhD PEng SM-IEEE FAAIA FCAE

David Clausi | PhD PEng SM-IEEE FAAIA FCAE
Professor, Associate Dean - Research & External Partnerships
Location: EC4 2039, E7 7426
Phone: 519-888-4567 x32604, 519-888-4567 x42604
Status: Active

Biography

David Clausi is a Professor at the University of Waterloo in the Department of Systems Design Engineering as well as the Associate Dean - Research and External Partnerships in the Faculty of Engineering.
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). 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).

Research Interests

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

Education

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

Service

  • 2019 - date Associate Dean - Research and External Partnerships, Faculty of Engineering
  • 2009 - 2012 Associate Chair - Graduate, Systems Design Engineering

Professional Associations

  • PEng
  • FCAE
  • FAAIA

Teaching*

  • SYDE 121 - Digital Computation
    • Taught in 2020
  • SYDE 575 - Image Processing
    • Taught in 2019, 2020, 2021, 2022, 2023

* Only courses taught in the past 5 years are displayed.

Selected/Recent Publications

  • *Vats, K; Walters, P; *Fani, M; Clausi, D; Zelek, J (2023), Player tracking and identification in ice hockey, Expert Systems with Applications, Volume 213, Issue C.
  • *Taleghanidoozdoozan, S; Xu, L; Clausi, D (2022), Oil spill candidate detection using a conditional random field model on simulatedcompact polarimetric imagery, Canadian Journal of Remote Sensing, Volume 48, Issue 3, 425-440.
  • *Fang, Y; Xu, L; Wong, A., Clausi, D (2022), Multi-temporal Landsat-8 images for theretrieval and mapping of the copper concentration in soil using empiricalmodels, Remote Sensing, Volume 14, Issue 10.
  • *Fang, Y; Xu, L; Wong, A; Clausi, A (2022), A Bayesian deep imageprior downscaling approach for high-resolution soil moisture estimation, Remote Sensing, Volume 15, 4571-4582.
  • *Wu, Y; Xu, L; Chen, Y; Wong, A; Clausi, D (2022), TAL:Topography-aware multi-resolution fusion learning for enhanced buildingfootprint extraction, IEEE Geoscience and Remote Sensing Letters, Volume 19, 1-5.
  • *Lee, P; Xu, L; Clausi, D (2022), Estimating noise floor in Sentinel-1 images withlinear programming and least squares, IEEE Transactions on Geoscience and Remote Sensing, Volume 60.
  • *Jiang, M; Clausi, D; Xu, L (2022), Sea ice mapping of RADARSAT-2 imagery by integrating spatial context with textural features, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 15, 7964-7977.
  • *Fang, Y; Wang, Y; Xu, L; Zhuo, R; Wong, A; Clausi, D (2022), BCUN: Bayesian fully convolutional neuralnetwork for hyperspectral spectral unmixing, IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 1-14.
  • Jiang, M; Clausi, D; Xu, L (2022), Sea ice-water classification of RADARSAT-2 imagery based on residual neural networks (ResNet) with regional pooling, Remote Sensing, Volume 14, Issue 13.
  • *Lee, PQ, *Radhakrishnan, K; Clausi, DA; Scott, A; Xu, L; Marcoux, M (2021), Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks, Canadian Journal of Remote Sensing, Volume 47, Issue 2, 276-294.

In The News

Graduate studies