Jason Hickey

Computer Science · Physical Sciences

22h-index3.3kcitations109works1.52yr avg
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Research Topics

Logic, programming, and type systems(23), Formal Methods in Verification(20), Distributed systems and fault tolerance(18), Parallel Computing and Optimization Techniques(13), Meteorological Phenomena and Simulations(12)

Publications109 total

An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
arXiv (Cornell University)·2025Open Access
Innovating clinical nursing education using virtual technology to combat the effects of COVID-19: A qualitative study
Nurse Education Today·2024· 3 citedOpen Access
Health Resilience in Arabic-speaking Adult Refugees With Type 2 Diabetes: A Grounded Theory Study During the COVID-19 Pandemic
Canadian Journal of Diabetes·2023Open Access
High-Resolution Building and Road Detection from Sentinel-2
arXiv (Cornell University)·2023· 13 citedOpen Access
The cultural safety of publicly available maternity services in New Brunswick, Canada
Population Medicine·2023Open Access
Evaluating COVID-19 mental health and child welfare supports at the under one sky friendship centre in New Brunswick, Canada
Population Medicine·2023Open Access
A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts
arXiv (Cornell University)·2023· 8 citedOpen Access
Global Extreme Heat Forecasting Using Neural Weather Models
Artificial Intelligence for the Earth Systems·2022· 28 cited
Academic Allyship in Nursing: Deconstructing a Successful Community-Academic Collaboration
Quality Advancement in Nursing Education - Avancées en formation infirmière·2022· 4 citedOpen Access
Deep learning for twelve hour precipitation forecasts
Nature Communications·2022· 214 citedOpen Access
Case‐Control Study on a Decade of Ground‐Based Magnetometers in California Reveals Modest Signal 24–72 hr Prior to Earthquakes
Journal of Geophysical Research Solid Earth·2022· 25 citedOpen Access
Global Extreme Heat Forecasting Using Neural Weather Models
arXiv (Cornell University)·2022· 14 citedOpen Access
NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
Bulletin of the American Meteorological Society·2022· 17 citedOpen Access
Deep Learning for High-Resolution Wildfire Modeling
Imprensa da Universidade de Coimbra eBooks·2022Open Access
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
arXiv (Cornell University)·2021· 4 citedOpen Access
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural\n Networks
arXiv (Cornell University)·2021· 40 citedOpen Access
Trustworthy AI for Extreme Event Prediction and Understanding
2021Open Access
Getting the most out of satellite-based precipitation data for forecasting river floods with deep neural networks
AGU Fall Meeting Abstracts·2020
Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences
Bulletin of the American Meteorological Society·2020· 88 citedOpen Access
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
arXiv (Cornell University)·2020· 19 citedOpen Access
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Frequent Co-authors

Shreya Agrawal(7), Aleksey Nogin(7), Jiong Qiu(6), Vasyl Yurchyshyn(6), M. C. Chu(6), E. Kolbe(6), C. Titus Brown(6), Christoph Kreitz(5), Amy McGovern(5), Ε. Πάλλη(5), P. Montañés‐Rodríguez(5), Carla Bromberg(4), Cenk Gazen(4), Philip R. Goode(4), Robbert van Renesse(4), Robert L. Constable(4), Stephan Hoyer(3), Casper Kaae Sønderby(3), Lasse Espeholt(3), Jonathan Heek(3)