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
Callahan S, Hwang S, Isler B, Wiedbusch E, and Jason LA (in press) Census characteristics of Illinois sober living homes: a Geographic Information Systems study. Journal of Prevention and Intervention in the Community.
Schneider K, Crews R, Subramanian V, Moxley E, Hwang S, DiLiberto FE, Aylward L, Bean J, Yalla S (in press) Feasibility of a low intensity, technology-based intervention for increasing physical activity in adults at risk for a diabetic foot ulcer: a mixed methods study. Journal of Diabetes Science and Technology.
Hanke TA, Hwang S, Keller S, Zielke D, Hailey T, Krumdick ND, and Evans CC (2019) Measuring community mobility in survivors of stroke using global positioning system technology: a prospective observational study, Journal of Neurologic Physical Therapy. 43(3): 175-185.
McHaffie P, Hwang S, and Follett C (2018) GIS: An Introduction to Mapping Technologies, CRC Press - Taylor & Francis Group.
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. Vol. 32(7): 1391-1412.
Hwang S, Hanke T & Evans C (2018) GPS data mining for monitoring community mobility of individuals. in Frontiers in Information System: GIS – An Overview of Application, (Ed. Teodoro, A.) Bentham Science, pp. 184-207.
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., Yalla, S., and Crews, R. (2017) Processing uncertain GPS trajectory data for assessing the locations of physical activity. In (Eds. Schintler, L.A. & Zhenhua, C.) Big Data for Regional Science. Routledge, pp. 131-142.
Hwang S, Hanke T, and Evans C, (2016) Detecting stop episodes from GPS trajectories with gaps. in Seeing Cities Through Big Data – Research, Methods and Applications in Urban Informatics, P. Thakuriah, N. Tilahun, and M. Zellner (ed.) Springer, pp. 427-439.
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) A Tale of Two cities: Residential Segregation in St. Louis and Cincinnati. in Chris Lloyd, Ian Shuttlefield and David Wong (ed.) Social-Spatial Segregation: Concepts, Processes and Outcomes, Policy Press, Bristol (UK), pp. 301-332.
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, Hanke T, and Evans C (2013) Clustering-based event detection from GPS track data, Journal of Data Processing 3(3): 119-126.
Hwang, S., Hanke, T, and Evans, C. (2013) Automated extraction of community mobility measures from GPS stream data using temporal DBSCAN. Lecture Notes in Computer Science, vol. 7972 86-98.