Publications
- S. Hickman, M. Kelp, P. Griffiths, K. Doerksen, et al. “Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research”. TOAR-II Community Special Issue. 2025. Highlight paper.
- Pre-print: K. Doerksen, C. Fibaek, R. Schneider, D. Kim, I. Tingzon. “Predicting Internet Connectivity in Schools”.
- K. Doerksen, S. Li. “AI-Driven Sub-seasonal Landslide Forecasting in Nepal for Disaster Preparedness”. ICLR CCAI Workshop 2025.
- K. Doerksen et al. “Uncertainty Quantification for Surface Ozone Emulators using Deep Learning”. NeurIPS ML and the Physical Sciences Workshop 2024.
- K. Doerksen*, I. Tingzon*, D. Kim. “AI-powered school mapping and connectivity status prediction using Earth Observation.” ICLR 2024 ML for Remote Sensing Workshop.
- K. Doerksen et al. “Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates”. NeurIPS ML and Physical Sciences Workshop 2023.
- K. Doerksen et al. “Precipitation-Triggered Landslide Prediction in Nepal using Machine Learning and Deep Learning”. IEEE IGARSS 2023.
- C. Briand, K. Doerksen, F. Deleflie. “Solar EUV-Enhancement and Thermospheric Disturbances”. Space Weather Journal, Vol. 9, Issue 12.
- P. Bernal, K. Doerksen, C. Yap. “Machine Learning for Early Satellite Anomaly Detection”. SmallSat 2021.
- J. Ahumada, K. Doerksen, S. Zeller. “Automated fleet commissioning workflows at Planet”. SmallSat 2021. (Shared first authorship)
- K. Doerksen*, K. Fischer*. “Autonomous Systems Validation (SysVal) environment for advancing Mission Operations”. SmallSat 2021.
