Ph.D., State University of New York at Buffalo
M.S., University of Nottingham
B.A., Seoul National University
Professor Hwang is a GIS scientist with interests in housing, transportation, education, community development, and public health. She has published in the disciplines of geography, urban planning, and computer science. Her research has been on fuzzy geodemographics, GIS for sustainability education, and uncertain GPS trajectory computing. Her recent collaboration with health scientists looks at ways to utilize geospatial technologies towards improving health outcomes of diabetic patients and persons with disabilities.
GEO 230: Transportation Geography
GEO 241 GIS I: Intro to GIS
GEO 242 GIS II: Community GIS
GEO 340/440: Places, Humanities and GIS
GEO 344 GIS III: Spatial Analysis for Sustainability
GEO 345/445/: Programming in Python for GIS
GEO 441: GIS for Community Development
Hwang S, VanDeMark C, Dhatt N, Yalla SV & Crews RT (2018) Segmenting human trajectory data by movement states while addressing signal loss and signal noise. International Journal of Geographical Information Science. dx.doi.org/10.1080/13658816.2018.1423685.
Crews, R., Yalla, S., Dhatt, N., Burdi, R., and Hwang, S. (2017) Monitoring location specific physical activity via integration of accelerometry and geotechnology within patients with or at-risk of diabetic foot ulcers. Journal of Diabetes Science and Technology, 11(5) 899-903.
Hwang, S. (2015) Residential Segregation, Housing Submarkets, and Spatial Analysis: St. Louis and Cincinnati as a Case Study. Housing Policy Debate, vol. 25(1) 91-115.
Hwang, S. (2014) Conceptual Framework for Using GIS in Building Community Capital towards Sustainability. in Nayna Nielson (ed.) Geographic Information Systems (GIS): Techniques, Applications and Technologies, NOVA Publishers, New York, p. 33-66.
Hwang, S. (2013) Placing GIS in Sustainability Education. Journal of Geography in Higher Education, vol. 37(2) 276-291.
Ljubomir P, Settle A, Hwang S, and Jones J. (2010) A Framework for Computational Thinking across the Curriculum. Proceedings of the 15th Annual Conference on Innovation and Technology in Computer Science Education, pp. 123-127 (ISBN: 978-1-60558-820-9).
Hwang, S. and Thill, J-C. (2009) Delineating Urban Housing Submarkets with Fuzzy Clustering. Environment & Planning B, vol. 36 (5) 865-882.
Hwang S, and Thill J-C. (2007) Using Fuzzy Clustering Methods for Delineating Urban Housing Submarkets. Proceedings of the15th Annual ACM International Symposium on Advances in Geographic Information Systems, pp. 99-106 (ISBN:
Hwang, S. (2004) Using Formal Ontology for Integrated Spatial Data Mining. Lecture Notes in Computer Science, vol. 3044 1026-1035.