Hyun-Woo Jo is a Research Professor at the OJEong Resilience Institute of Korea University and a Postdoctoral Fellow at the International Institute for Applied Systems Analysis (IIASA). He received his B.S. in Environmental Science and Ecological Engineering and his Ph.D. in Environmental Planning and Landscape Architecture from Korea University in 2018 and 2023, respectively.
His research focuses on integrating remote sensing and deep learning in agriculture and forestry, with a strong emphasis on combining domain-specific knowledge with machine-learnable models. In 2022, Dr. Jo was selected for the prestigious IIASA Young Scientists Summer Program (YSSP), where his project on optimizing IIASA’s FLAM wildfire model for Korean conditions earned an honorable mention. He later expanded this work by embedding process-based wildfire algorithms into neural networks as part of his doctoral research.
Dr. Jo has also developed AI models for crop and land cover monitoring using satellite data, with a focus on cross-regional generalization through transfer learning. These techniques have been tested in South Korea and applied to international contexts, and the results were presented at NeurIPS Workshop on Climate Change and AI.
He is also interested in building user-friendly software tools for AI-driven environmental analysis, such as Platform Dryad, which supports scalable modeling and decision support in ecological systems.