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.

• sensing, deep learning, data fusion, artificial intelligence, infrared, optical, microwave

• 2008, Doctorate 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

• 2022- present First Year Advisor, Faculty of Engineering University of Waterloo

• IEEE GRSS Mentor

• Chen X., Patel M., Xu L., Chen Y., Scott K.A., and Clausi D.A., A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification from AI4Arctic Sea Ice Challenge Dataset, IEEE Transactions on Geoscience and Remote Sensing, China, 2025.

• Rusin J., Doulgeris A.P., Scott K.A., Lavergne T., and Taelman C., High Resolution Sea Ice Concentration Using a Sentinel-1 U-Net Ice-Water Classifier, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 18, 9380-9395, Norway, 2025.

• Veremchuk M., Pan Z., and Scott K.A., Telling Oil Temperature for Frying from Audio and Video Signals Based on Multimodal Learning, Springer Proceedings in Mathematics and Statistics, Volume 127, 207-217, Canada, 2025.

• 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.

• Kazemi S., Azad N.L., Scott K.A., Oqab H.B., and Dietrich G.B., Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit Using Proximal Policy Optimization, 2024 IEEE Congress on Evolutionary Computation CEC 2024 Proceedings, Canada, 2024.

• Chen X., Patel M., Xu L., Scott K.A., Clausi D.A., and Huang W., Enhancing Sea Ice Type Classification from AI4Arctic Dataset Based On Regional Loss Representations, International Geoscience and Remote Sensing Symposium IGARSS, 178-182, China, 2024.

• De Loe L., Xu L., and Scott K.A., Fusing Ice Surface Temperature with the AI4Arctic Dataset for Enhanced Sea Ice Concentration Estimation: A Preliminary Assessmen, Oceans Conference Record IEEE, Canada, 2024.

• Saberi N., Shaker M.H., Duguay C.R., Scott K.A., and Hullermeier E., Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 18, 5919-5927, Canada, 2025.

• 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.

• 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.

• 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.

• 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.

• Sola D., and Scott K.A., Efficient Shallow Network for River Ice Segmentation, Remote Sensing, Volume 14, Canada, 2022.

• Lee P.Q., Radhakrishnan K., Clausi D.A., Scott K.A., Xu L., and Marcoux M., Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks, Canadian Journal of Remote Sensing, Volume 47, 276-294, Canada, 2021.

• Asadi N., Scott K.A., Komarov A.S., Buehner M., and Clausi D.A., Evaluation of a Neural Network with Uncertainty for Detection of Ice and Water in SAR Imagery, IEEE Transactions on Geoscience and Remote Sensing, Volume 59, 247-259, Canada, 2021.

• Saberi N., Kelly R., Pan J., Durand M., Goh J., and Scott K.A., The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations an, IEEE Transactions on Geoscience and Remote Sensing, Volume 59, 1876-1889, Canada, 2021.

• Nagi A.S., Kumar D., Sola D., and Scott K.A., RUF: Effective sea ice floe segmentation using end-to-end RES-UNET-CRF with dual loss, Remote Sensing, Volume 13, Canada, 2021.

• Radhakrishnan K., Scott K.A., and Clausi D.A., Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data with a U-Net and Curriculum Learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 14, 5339-5351, Canada, 2021.

• Soleymani A., and Scott K.A., EVALUATION OF A NEURAL NETWORK ON SEA ICE CONCENTRATION ESTIMATION IN MIZ USING PASSIVE MICROWAVE DATA, International Geoscience and Remote Sensing Symposium IGARSS, Volume 127, 5656-5659, Canada, 2021.

• Scott K.A., Xu L., and Pour H.K., Retrieval of ice/water observations from synthetic aperture radar imagery for use in lake ice data assimilation, Journal of Great Lakes Research, Volume 46, 1521-1532, Canada, 2020.

• Sola D., Nagi A.S., and Scott K.A., Identifying Sea Ice Ridging in SAR Imagery Using Convolutional Neural Networks, International Geoscience and Remote Sensing Symposium IGARSS, 6930-6933, Canada, 2020.

• Nagi A.S., Minhas M.S., Xu L., and Scott K.A., A Multi-Scale Technique to Detect Marginal Ice Zones Using Convolutional Neural Networks, International Geoscience and Remote Sensing Symposium IGARSS, 3035-3038, Canada, 2020.

• Atoufi A., Scott K.A., and Waite M.L., Characteristics of quasistationary near-wall turbulence subjected to strong stable stratification in open-channel flows, Physical Review Fluids, Volume 5, Canada, 2020.

• Asadi N., Scott K.A., and Clausi D.A., Data fusion and data assimilation of ice thickness observations using a regularisation framework, Tellus Series A Dynamic Meteorology and Oceanography, Volume 71, Canada, 2019.

• Liu J., Scott K.A., and Fieguth P.W., Detection of marginal ice zone in Synthetic Aperture Radar imagery using curvelet-based features: A case study on the Canadian E, Journal of Applied Remote Sensing, Volume 13, China, 2019.

• Xu Y., and Scott K.A., Impact of intermediate ice concentration training data on sea ice concentration estimates from a convolutional neural network, International Journal of Remote Sensing, Volume 40, 5799-5811, Canada, 2019.

• Atoufi A., Scott K.A., and Waite M.L., Wall turbulence response to surface cooling and formation of strongly stable stratified boundary layers, Physics of Fluids, Volume 31, Canada, 2019.

• Cooke C.L.V., and Scott K.A., Estimating Sea Ice Concentration from SAR: Training Convolutional Neural Networks with Passive Microwave Data, IEEE Transactions on Geoscience and Remote Sensing, Volume 57, 4735-4747, Canada, 2019.

• Marshall S., Scott K.A., and Scharien R.K., Passive microwave melt onset retrieval based on a variable threshold: Assessment in the Canadian Arctic Archipelago, Remote Sensing, Volume 11, Canada, 2019.

• Scott K.A., Chen C., and Myers P.G., Assimilation of Argo temperature and salinity profiles using a bias-aware EnOI scheme for the Labrador Sea, Journal of Atmospheric and Oceanic Technology, Volume 35, 1819-1834, Canada, 2018.

• Stonebridge G., Scott K.A., and Buehner M., Impacts on sea ice analyses from the assumption of uncorrelated ice thickness observation errors: Experiments using a 1D toy mod, Tellus Series A Dynamic Meteorology and Oceanography, Volume 70, Canada, 2018.

• Pour H.K., Duguay C.R., Scott K.A., and Kang K.-K., Improvement of Lake Ice Thickness Retrieval from MODIS Satellite Data Using a Thermodynamic Model, IEEE Transactions on Geoscience and Remote Sensing, Volume 55, 5956-5965, Canada, 2017.

• Wang L., Scott K.A., Clausi D.A., and Xu Y., Ice concentration estimation in the gulf of St. Lawrence using fully convolutional neural network, International Geoscience and Remote Sensing Symposium IGARSS, Volume 127, 4991-4994, Canada, 2017.

• Wang L., Scott K.A., and Clausi D.A., Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network, Remote Sensing, Volume 9, Canada, 2017.

• Mozaffari A., Scott K.A., Chenouri S., and Azad N.L., A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickn, Soft Computing, Volume 21, 4635-4659, Canada, 2017.

• Mozaffari A., Scott K.A., Azad N.L., and Chenouri S., A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ic, Applied Intelligence, Volume 46, 16-33, Canada, 2017.

• Xu Y., and Scott K.A., Sea ice and open water classification of sar imagery using cnn-based transfer learning, International Geoscience and Remote Sensing Symposium IGARSS, Volume 127, 3262-3265, Canada, 2017.

• Pogson L., Geldsetzer T., Buehner M., Carrieres T., Ross M., and Scott K.A., Collecting empirically derived SAR characteristic values over one year of sea ice environments for use in data assimilation, Monthly Weather Review, Volume 127, 323-334, Canada, 2017.

• Wang L., Scott K.A., Xu L., and Clausi D.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, Volume 54, 4524-4533, Canada, 2016.