David Clausi | PhD PEng SM-IEEE FAAIA FCAE FEIC

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).

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

• 2024 Fellow of the Engineering Institute of Canada
• 2022 Fellow of the Canadian Academy of Engineering
• 2022 Fellow of Asia-Pacific Artificial Intelligence Association
• Most cited paper for the Canadian Journal of Remote Sensing
• Stanford University International Career "Top 2% List"

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

• PEng
• FCAE
• FAAIA
• FEIC

• SYDE 575 - Image Processing
  • Taught in 2024

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

• Chen X., Patel M., Xu L., Chen Y., Scott K.A., and Clausi D.A., Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset, IEEE Geoscience and Remote Sensing Letters, Volume 21, 1-5, Canada, 2024.
• Vats K., Walters P., Fani M., Clausi D.A., and Zelek J.S., Player tracking and identification in ice hockey, Expert Systems with Applications, Volume 127, Canada, 2023.
• Chen X., Scott K.A., Xu L., Jiang M., Fang Y., and Clausi D.A., Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery, IEEE Transactions on Geoscience and Remote Sensing, Volume 61, Canada, 2023.
• Chen X., Scott K.A., Jiang M., Fang Y., Xu L., and Clausi D.A., Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline, Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, 224-232, Canada, 2023.
• Wu Y., Xu L., Wang L., Chen Q., Chen Y., and Clausi D.A., Multi-Task Edge Detection for Building Vectorization From Aerial Images, IEEE Geoscience and Remote Sensing Letters, Volume 20, Canada, 2023.
• Ghanbari M., Xu L., and Clausi D.A., Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 16, 3892-3904, Canada, 2023.
• Taleghanidoozdoozan S., Xu L., and Clausi D.A., Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual In, Remote Sensing, Volume 15, Canada, 2023.
• Fang Y., Wang Y., Xu L., Chen Y., Wong A., and Clausi D.A., Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, Volume 61, Canada, 2023.
• Chen X., Scott K.A., and Clausi D.A., Uncertainty Analysis of Sea Ice and Open Water Classification on SAR Imagery Using a Bayesian CNN, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 127, 343-356, Canada, 2023.
• Chen X., Valencia R., Soleymani A., Xu L., and Scott K.A., Calibration of Uncertainty in Sea Ice Concentration Retrieval With an Auxiliary Prediction Interval Estimator, IEEE Geoscience and Remote Sensing Letters, Volume 20, Canada, 2023.
• Patel M., Chen X., Xu L., Pena Cantu F.J., Noa Turnes J., Brubacher N.C., Clausi D.A., and Scott K.A., The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery, International Geoscience and Remote Sensing Symposium (IGARSS), Volume 127, 5732-5734, Canada, 2023.
• Chen X., Valencia R., Soleymani A., Scott K.A., Jiang M., Xu L., and Clausi D.A., Uncertainty-Incorporated Arctic Sea Ice Concentration Estimation Using Heteroscedastic Bayesian Neural Networks, International Geoscience and Remote Sensing Symposium (IGARSS), Volume 127, 141-144, Canada, 2023.
• Xu L., Fang Y., Chen X., and Clausi D.A., Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification, International Geoscience and Remote Sensing Symposium (IGARSS), Volume 127, 5942-5945, Canada, 2023.
• Chen X., Patel M., Cantu F.J.P., Park J., Turnes J.N., Jiang M., Xu L., Scott K.A., Clausi D.A., and Huang W., The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data, Oceans Conference Record (IEEE), Canada, 2023.
• Pena Cantu F.J., Chen X., Liu Y., Kanani K., Park J., Tunes J.N., Xu L., Scott K.A., and Clausi D.A., A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset, Oceans Conference Record (IEEE), Canada, 2023.
• Fang Y., De Souza A., Xu L., Chen X., and Clausi D.A., Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery, Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, Canada, 2023.
• Fang Y., Wang Y., Xu L., Zhuo R., Wong A., and Clausi D.A., BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, Volume 60, Canada, 2022.
• Wu Y., Xu L., Chen Y., Wong A., and Clausi D.A., TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction, IEEE Geoscience and Remote Sensing Letters, Volume 19, Canada, 2022.
• Taleghanidoozdoozan S., Xu L., and Clausi D.A., Oil Spill Candidate Detection Using a Conditional Random Field Model on Simulated Compact Polarimetric Imagery, Canadian Journal of Remote Sensing, Volume 48, 425-440, Canada, 2022.
• Fang Y., Xu L., Wong A., and Clausi D.A., Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models, Remote Sensing, Volume 14, Canada, 2022.

• University Research Chair announced
• Can AI help save beluga whales?
• DarwinAI’s Journey: How a Little-Known Waterloo Startup Caught Apple’s Eye
• Using AI to Track Professional Hockey Players (Tech Briefs) - March 26, 2024
• University of Waterloo using AI to analyze hockey decisions on the ice - March 14, 2024
• Going Top Shelf with AI to Better Track Hockey Data - March 11, 2024
• Team tops international event to map sea ice using AI - April 28, 2023
• Profs use AI to track hockey games better
• "Honoured for their outstanding contributions" Canadian Academy of Engineering
• "SYDE faculty among world’s top scientists in 2021"
• “Waterloo researchers introduce new hockey statistics tracking systems”
• “Group wins award at hockey analytics conference”
• “Artificial intelligence helps with earlier detection of skin cancer”
• “Research collaboration between Christie and University of Waterloo made new M Series possible”
• “Breakthrough blood flow imaging research showcased no Daily Plant TV show”
• “Police using facial recognition software to help ID G20 suspects”
• “A multi-task learning network to recognize the numbers on jerseys of sports team players”
• “Projecting into the future”