Current
Maksym Veremchuk (PhD student) AI empowerd multi-scale perception for ships operating in sea ice
Lily De Loe (MASc student)ÌýPhysically constrained sea ice space-time forecasting using artificial intelligence
Corwin MacMillan (MASc student)ÌýSegmentation of video data acquired on a ship navigating through the Arctic using AI
Sajjad Kazemi (MASc student) Situational awareness for space debris using AI
Aditya Patel (MASc student) Optimal control forÌýspace debrisÌý
Anne Adriano (MASc student) Space debris characterization and tracking using AI
Fernando Pena (MASc student) Deep learning and feature importance for improved sea ice identification
Neil Brubacher (MASc student) Small object detection in remote sensing imagery
Kiernan McGuigan (MASc student) Capturing long-range dependencies in space-time forecastingÌý
Zacharie Gousseau (MASc student) Time Series forecasting using graphical neural networks
Armina Soleyami (PhD student) Novel approaches to sea ice edge identification
Graham Stonebridge (PhD student) Data-driven approaches in hydrologic modeling
Xinwei Xu (Postdoc) Many things sea ice deep learning (ice type, ice concentration, hierarchical approaches, uncertainty modelling)
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Previous Group Members
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Andrew GraceÌý(PhD student/AMATH) Dynamics of stratified freshwater flows
Daniel Sola (MASc student, SYDE) Computer vision/Object detection
Ray Valencia (MASc student, SYDE) Computer vision/Uncertainty estimation
John Lyne (MASc student, SYDE) Deep learning/turbulence
Nazanin AsadiÌý(Postdoc) Sea Ice forecasting using deep learning
Siva Prasad (Postdoc) Lake Ice modelling using ROMS and the MITgcm
Changeheng Chen (Postdoc) Assimilation of T/S data in the Labrador Sea
Wenxia Tan (Postdoc) Validation of sea ice thickness observations
Zahra Ashouri (Research Assistant) Feature selection for sea ice concentration retrieval from SAR
Amir Atoufi (PhD student, SYDE/AMATH) Stably stratified boundary layers
Nazanin AsadiÌý(PhD student, SYDE) Data-driven regularization and uncertainty estimation to improve sea ice data assimilation
Jiange Gu (Visiting PhD student) Mapping of dynamic sea ice cover using SAR
Lei WangÌý(PhD student, SYDE) Convolutional Neural Networks for sea ice concentration retrievals from SAR
Anmol Nagi (MASc student/SYDE) Marginal ice zone feature detectionÌýin SAR imagery
Keerthijan Radhakrishnan (MASc student/SYDE) Passive microwave and SAR based sea ice concentration retrieval
Yukun Zhao (MMath student/AMATH) LANS-alpha modeling of a gravity current
Sarah Walsh (MMath student/AMATH) Comparison of ice models for lake ice simulations
Yan Xu (MASc student, SYDE) A deep convolutional neural network for sea ice concentration estimation in the marginal ice zone
Graham Stonebridge (MASc student, SYDE) Diagonal Approximations to the Observation Error Covariance Matrix in Sea Ice Thickness Data Assimilation
Harveen Janjua (MASc student, SYDE)ÌýFusion of ice thickness from passive microwave data and ice ocean model for improved estimation
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