Andrea Scott

Andrea Scott is an Associate Professor in the Mechanical and Mechatronics Engineering department at the University of Waterloo. Her research group investigates new ways to extract information from high dimensional datasets from models or remote sensing instruments. We have been looking into physically based approaches, and data-driven approaches that maintain the fidelity of the physical system.

• turbulence, computations, data-driven, machine learning, data fusion, infrared, optical, microwave

• 2008, Doctorate Mechanical Engineering, University of Waterloo, Canada
• 2001, Master of Applied Science Mechanical Engineering, McMaster University, Canada
• 1999, Bachelor of Applied Science Mechanical Engineering, University of Waterloo, Canada

• Outstanding Performance Award, Faculty of Engineering, University of Waterloo, 2022

• 2021-2023 Associate Chair Undergraduate Studies
• Department of Systems Design Engineering University of Waterloo

• IEEE GRSS Mentor

• ME 351 - Fluid Mechanics 1
  • Taught in 2024
• ME 664 - Turbulent Flow
  • Taught in 2024
• SYDE 113 - Elementary Engineering Mathematics
  • Taught in 2020, 2021, 2022
• SYDE 351 - Systems Models 1
  • Taught in 2020, 2023
• SYDE 621 - Mathematics of Computation
  • Taught in 2020

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

• Grace A.P., Stastna M., Lamb K.G., and Scott K.A., Gravity currents in the cabbeling regime, Physical Review Fluids, Volume 8, 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.
• Attiah G., Kheyrollah Pour H., and Scott K.A., Lake surface temperature retrieved from Landsat satellite series (1984 to 2021) for the North Slave Region, Earth System Science Data, Volume 15, 1329-1355, Canada, 2023.
• Chen X., Valencia R., Soleymani A., and Scott K.A., Predicting Sea Ice Concentration With Uncertainty Quantification Using Passive Microwave and Reanalysis Data: A Case Study in Ba, IEEE Transactions on Geoscience and Remote Sensing, Volume 61, Canada, 2023.
• Soleymani A., Saberi N., and Scott K.A., Passive Microwave Sea Ice Edge Displacement Error over the Eastern Canadian Arctic for the period 2013-2021, Canadian Journal of Remote Sensing, Volume 49, 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.
• Grace A.P., Stastna M., Lamb K.G., and Scott K.A., Numerical simulations of the three-dimensionalization of a shear flow in radiatively forced cold water below the density maximum, Physical Review Fluids, Volume 7, Canada, 2022.
• Saberi N., Scott K.A., and Duguay C., Incorporating Aleatoric Uncertainties in Lake Ice Mapping Using RADARSAT–2 SAR Images and CNNs, Remote Sensing, Volume 14, Canada, 2022.
• Tamber M.S., Scott K.A., and Pedersen L.T., Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 15, 1502-1513, Canada, 2022.