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UID:272@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20250604T163000
DTEND;TZID=America/Los_Angeles:20250604T172000
DTSTAMP:20250519T165027Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-yuhao-k
 ang/
SUMMARY:UW Data Science Seminar: Yuhao Kang
DESCRIPTION:Please join us for a UW Data Science Seminar featuring Yuhao Ka
 ng from the Department of Geography and the Environment at the University 
 of Texas at Austin on  Wednesday\, June 4th from 4:30 to 5:20 p.m. PT. The
  seminar will be held in Electrical and Computer Engineering Building 125 
 – Campus Map.\n"Human-centered Geospatial AI: Understanding Human Multi
 -Sensory Environmental Perceptions"\n\nAbstract:  The emergence of Geospat
 ial Artificial Intelligence (GeoAI) – the use of geographic knowledge an
 d AI approaches to extract meaningful insights from large-scale geographic
  data – has achieved remarkable success not only in modeling physical ge
 ographic phenomena but also in advancing human subjective experiences at p
 lace. Prior studies often lack methods to measure how we perceive\, experi
 ence\, and interact with a particular location and environment. In this ta
 lk\, Dr. Kang will present a series of works that utilize GeoAI to underst
 and human experience and sense of place. First\, by combining street view 
 images and deep learning\, his work delved into human subjective safety pe
 rceptions (e.g.\, whether a neighborhood is perceived as a safe place) to 
 model human interactions. Second\, Dr. Kang will introduce the Geo-context
 ual Soundscape to Landscape (GeoS2L) generation problem. To support this t
 ask\, he will introduce SounDiT model which translates human auditory perc
 eptions into visual representations for understanding the soundscape of pl
 ace. In addition\, two large-scale multimodal datasets are constructed\, a
 nd a practice-informed Place Similarity Score evaluation framework is desi
 gned. Dr. Kang’s work demonstrate how human multi-sensory experiences ca
 n be linked to comprehensively understand human sense of place using AI\, 
 and highlight the importance of interdisciplinary collaboration at the int
 ersection of geography\, urban planning\, and AI.  \n\n  Biography:  Dr. Y
 uhao Kang is a tenure-track Assistant Professor at the Department of Geogr
 aphy and the Environment\, The University of Texas at Austin\, where he di
 rects the GISense Lab. He was a postdoctoral researcher at the MIT SENSEab
 le 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 t
 he non-profit educational organization GISphere that promotes global GIS e
 ducation. Dr. Kang’s research mainly focuses on Human-centered Geospatia
 l 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. 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 recip
 ient of the Waldo-Tobler Young Researcher Award by the Austrian Academy of
  Sciences\, CaGIS Rising Award\, CPGIS Education Excellence Award\, etc.\n
 \nThe 2024-2025 seminars will be held in person\, and are free and open to
  the public.
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