안녕하세요.
김영철 교수님 연구실에서 아래와 같이 초청 세미나를 개최하오니, 관심 있는 학생분들의 많은 참석 부탁드립니다.

            = 아               래  =

○ 일   시 : 2025년 6월 13일(금) 14:30~
○ 장   소 : 313호 세미나실, 스마트도시센터(W15)
○ 주   제 : Human-centered Geospatial AI: Understanding Human Sense of Place using Generative AI
○ 연   사 : Prof. Yuhao Kang / Assistant Professor, Department of Geography and the Environment, The University of Texas at Austin
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Prof. Youngchul Kim's lab, KAIST Urban Design Lab is pleased to host the following invited seminar. We cordially encourage the participation of all those who are interested.
                     =   below   =                                      
○ Date/Time : 2025.06.13(Fri.) 14:30~
○ Venue : #313, W15
○ Title : Human-centered Geospatial AI: Understanding Human Sense of Place using Generative AI
○ Speaker : Prof. Yuhao Kang / Assistant Professor, Department of Geography and the Environment, The University of Texas at Austin

ABSTRACT

The emergence of Geospatial Artificial Intelligence (GeoAI) – the use of geographic knowledge and AI approaches to extract meaningful insights from large-scale geographic data – has achieved remarkable success not only in modeling physical geographic phenomena, but also in advancing the understanding of human subjective experiences at place. Prior studies often lack methods to measure how we perceive, experience, and interact with a particular location and environment. In this talk, Dr. Kang will present a series of works that utilize GeoAI to understand human experience and sense of place. First, by combining street view images and deep learning, his work delved into human subjective safety perceptions (e.g., whether a neighborhood is perceived as a safe place) to model human interactions. Second, Dr. Kang will introduce the Geo-contextual Soundscape to Landscape (GeoS2L) generation problem. To support this task, he will introduce SounDiT model which translates human auditory perceptions into visual representations for understanding the soundscape of place. In addition, two large-scale multimodal datasets are constructed, and a practice-informed Place Similarity Score evaluation framework is designed. Finally, Dr. Kang will present how Large Language Models (LLMs) might be utilized to analyze place identity, offering novel opportunities for understanding the cognitive dimension of place. Dr. Kang’s work demonstrate how human multi-sensory experiences and cognition can be linked to comprehensively understand human sense of place using AI, and highlight the importance of interdisciplinary collaboration at the intersection of geography, urban planning, and AI.  

ABOUT THE SPEAKER

Dr. Yuhao Kang is a tenure-track Assistant Professor at the Department of Geography and the Environment, The University of Texas at Austin, where he directs the GISense Lab. He was a postdoctoral researcher at the MIT SENSEable City Lab, received his Ph.D. from the University of Wisconsin-Madison, and obtained his bachelor’s degree from Wuhan University. He also had working experience at USC, Google X, and MoBike. He was the founder of the non-profit educational organization GISphere that promotes global GIS education. Dr. Kang’s research mainly focuses on Human-centered Geospatial Data Science to understand human experience at place and develop ethical and responsible geospatial artificial intelligence (GeoAI) approaches. He has published over 50 articles on prestigious journals including IJGIS, CEUS, Landscape and Urban Planning, and PNAS, etc. His work has been cited over 3,500 times. He has served as the associate editor of the Computational Urban Science, the editorial board member of Humanities and Social Sciences Communications. He was the recipient of the Waldo-Tobler Young Researcher Award by the Austrian Academy of Sciences, CaGIS Rising Award, CPGIS Education Excellence Award, etc.