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Jagannath Aryal

Dr. Jagannath Aryal

Infrastructure Engineering,  The University of Melbourne

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Jagannath Aryal received a Ph.D. degree in optimization and systems modeling (2010) from the Centre for Advanced Computational Solutions (C-fACS), New Zealand. He is currently an Associate Professor in Digital Infrastructure Engineering with the Faculty of Engineering and Information Technology (FEIT), Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia. His research interests and contributions include advancing the knowledge in Earth Observation Science, Spatial Information, and Disaster Management using intelligent modeling approaches such as deep learning, geographic object-based artificial intelligence (GEOAI), resilience engineering, and spatial statistics. The application areas include urban systems and urban features. Dr. Aryal is on the Scientific Committee of the European GIS Conference (AGILE), GEOBIA, and other spatial analytics and modeling conferences. He serves as an Associate Editor of IEEE Transactions on Geoscience and Remote Sensing, an editor of the Journal of Spatial Science (Taylor & Francis), and Remote Sensing (MDPI), and reviews the scientific journals for IEEE, Springer, and Elsevier.

Research Keywords & Expertise

Earth Observation
GIS Modeling
Land Administration
Spatial Analysis
Geomatics Engineering

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5%
Earth Observation
5%
Spatial Analysis
5%
urban analytics
5%
spatial statistics

Short Biography

Jagannath Aryal received a Ph.D. degree in optimization and systems modeling (2010) from the Centre for Advanced Computational Solutions (C-fACS), New Zealand. He is currently an Associate Professor in Digital Infrastructure Engineering with the Faculty of Engineering and Information Technology (FEIT), Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia. His research interests and contributions include advancing the knowledge in Earth Observation Science, Spatial Information, and Disaster Management using intelligent modeling approaches such as deep learning, geographic object-based artificial intelligence (GEOAI), resilience engineering, and spatial statistics. The application areas include urban systems and urban features. Dr. Aryal is on the Scientific Committee of the European GIS Conference (AGILE), GEOBIA, and other spatial analytics and modeling conferences. He serves as an Associate Editor of IEEE Transactions on Geoscience and Remote Sensing, an editor of the Journal of Spatial Science (Taylor & Francis), and Remote Sensing (MDPI), and reviews the scientific journals for IEEE, Springer, and Elsevier.