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Dr. Chiang is an Action Editor of GeoInformatica (Springer) and an editorial board member for Transactions in GIS (Wiley). Dr. Chiang's research interests are in spatial artificial intelligence, where he develops machine learning methods to leverage location and time information in data to understand complex environmental phenomena and human-environmental interactions. He works with multi-modal and multi-scale data containing explicit or implicit location and time information, such as traffic, air quality, satellite imagery, images, and text documents, for extracting valuable insights from heterogeneous data and solve real-world problems. Dr. Chiang has received funding from various organizations, including NSF, NIH, DARPA, NGA, NEH, and industry partners such as NTT Global Networks, BAE Systems, Conveyancing Liability Solutions, TerraGo, and Rumsey Map Collection.
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Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)pp.625-633, (2024)
Advances in Knowledge Discovery and Data Mining Lecture Notes in Computer Sciencepp.207-220, (2024)
31ST ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2023pp.649-652, (2023)
CoRR (2023): 35:1-35:4
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31ST ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2023pp.13-14, (2023)
IEEE Transactions on Smart Gridno. 3 (2023): 2446-2459
31ST ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2023pp.657-668, (2023)
arXiv (Cornell University)pp.1-4, (2023)
CoRR (2023): 5227-5240
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