معرفی
Kevin Gurney is a Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. His work focuses on high-resolution carbon dioxide emissions modeling, urban emissions, and climate informatics. He is widely recognized for leading the Hestia project and contributing to global emission datasets.
- University: Northern Arizona University
- School: School of Informatics, Computing, and Cyber Systems
- Academic Rank: Professor
His research interests span carbon dioxide emissions, fossil fuel and biofuel emissions, urban emissions modeling, high-resolution emission mapping, climate informatics, and environmental policy. His work integrates atmospheric science, data science, and urban planning to develop detailed carbon inventories and support climate mitigation strategies. He employs advanced techniques such as AI, machine learning, and geospatial analysis to model emissions at fine spatial and temporal scales.
Recent publications (2024–2025) highlight his focus on AI-driven emission assessments, urban form impacts on CO₂, Scope 2 electricity emissions, and global fossil and biofuel inventories. His work demonstrates a strong trend toward integrating artificial intelligence with environmental monitoring and policy-relevant emission accounting at granular levels.
Kevin Gurney has received extensive recognition, with over 11,969 citations and an h-index of 53. His research outputs, including 158 scholarly works and 67 datasets, are widely used and cited. His work has been featured in news outlets and social media, reflecting its societal relevance.
He actively advises students and researchers in environmental informatics and carbon science, though specific names are not listed. His projects often involve interdisciplinary collaboration and external funding, supporting large-scale data generation and modeling efforts. He leads research teams focused on urban carbon systems and emission inventories.
Kevin Gurney is associated with major research initiatives such as the Hestia project and CoCO2-MOSAIC, which produce high-resolution emission datasets. His lab and research teams work on integrating observational data, modeling, and policy analysis to advance urban and global carbon science.
