Group Members


Maksym Veremchuk (PhD student) AI empowerd multi-scale perception for ships operating in sea ice

Lily De Loe (MASc student) Physically constrained sea ice space-time forecasting using artificial intelligence

Corwin MacMillan (MASc student) Segmentation 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 for space debris 

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 forecasting 

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)


Previous Group Members


Andrew Grace (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 Asadi (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 Asadi (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 Wang (PhD student, SYDE) Convolutional Neural Networks for sea ice concentration retrievals from SAR

Anmol Nagi (MASc student/SYDE) Marginal ice zone feature detection in 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) Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation