Projects per year
Personal profile
Research summary
I am a spatial data scientist with over a decade of experience developing innovative computational methods to address complex socio-economic and environmental challenges. My expertise spans spatiotemporal data mining, GeoAI, machine learning, human mobility analytics, and geographic information systems with applications in urban development, climate change, and public health.
As Spatial Data Science Lead and Research Associate at the Luxembourg Institute of Socio-Economic Research (LISER), I lead several high-impact research initiatives. I serve as Principal Investigator for multiple funded projects, including IMSensing (developing AI-powered mobile sensing applications for personal environment assessment), GP4H (advancing geoprivacy solutions for personalized health), COVID-Contrail (applying deep learning to detect contrail outbreaks from satellite imagery), and GEOFAIR (implementing FAIR principles for geospatial research infrastructure).
My research portfolio demonstrates versatility and impact. I have developed methods for analyzing sensor-based data to understand relationships between mobility patterns, environmental exposures, and health outcomes, particularly in aging populations. Previously at the University of Zurich, I made substantial contributions to MOASIS, MOBITEC-GP, and MOBITEC-Stroke projects, establishing innovative approaches to quantify mobility-health relationships.
My work appears in high-impact journals across multiple disciplines, including Health & Place, Urban Forestry & Urban Greening, and Physical Review E. I maintain productive international collaborations with partners across Europe, Asia, and North America while mentoring the next generation of spatial data scientists.
I hold a PhD in Geography with a focus on Geographic Information Science from Pennsylvania State University and remain committed to advancing spatial data science for public good and industrial innovation and contributing to the scientific knowledge and practices in the fields of urban mobility, climate change, health, and aging.
Education/Academic qualification
PhD, Local Indicators of Temporal Burstiness for Spatio-Temporal Event Analysis, Pennsylvania State University
Award Date: 1 May 2018
Master, 3D Sequential Object Clustering for Spatio-Temporal Data Analysis
Award Date: 19 Aug 2009
Bachelor
External positions
Affiliated Researcher, University of Zurich
Jul 2022 → 2025
Postdoctoral Research Fellow & Lecturer, University of Zurich
1 Feb 2018 → 30 Jun 2022
Collaborations and top research areas from the last five years
Projects
- 2 Finished
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GP4H: Geoprivacy for Personalized Health
Kim, E.-K. (PI) & McKenzie, G. (Non Contracting Partner)
30/05/23 → 2/01/25
Project: Research
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COVID-Contrail: Changes in US Contrail Outbreaks before and during the COVID-19 Pandemic
Kim, E.-K. (PI) & Lee, Y. (CoI)
1/09/22 → 31/08/24
Project: Research
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Optimizing urban park locations with addressing environmental justice in park access and utilization by using dynamic demographic features derived from mobile phone data
Kim, E.-K., Yoon, S., Jung, S. U. & Kweon, S. J., 1 Sept 2024, In: Urban Forestry & Urban Greening. 99, p. 1-13 13 p., 128444.Research output: Contribution to journal › Article › peer-review
Open Access -
Advances and Challenges in Sensor-based Research in Mobility, Health, and Place
Kim, E.-K., Conrow, L., Röcke, C., Chaix, B., Weibel, R. & Perchoux, C., 13 Feb 2023, In: Health & Place. 79, p. 1-10 10 p., 102972.Research output: Contribution to journal › Article › peer-review
Open Access -
Measuring burstiness for finite event sequences
Kim, E.-K. & Jo, H.-H., 15 Sept 2016, In: Physical Review E.Research output: Contribution to journal › Article › peer-review
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Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research
Fillekes, M. P., Giannouli, E., Kim, E.-K., Zijlstra, W. & Weibel, R., 24 Jul 2019, In: International Journal of Health Geographics. 18, 17Research output: Contribution to journal › Article › peer-review
Open Access -
GPS-Derived Daily Mobility and Daily Well-Being in Community-Dwelling Older Adults
Luo, M., Kim, E.-K., Weibel, R., Martin, M. & Röcke, C., 4 Jul 2023, In: Gerontology. 69, 7, p. 875-887 13 p.Research output: Contribution to journal › Article › peer-review
Open Access
Impacts
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Invited Online Seminar on "Mobility and Healthy Aging in Urban Environments" in the Korean Planning Association Seminar Series
Kim, E.-K. (Presenter)
Impact: Stakeholder Activity, Media Output, Training Delivery
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Invited Talk on "Mobility and Healthy Aging in Urban Environments" in ‘Citizen Collective’ Series in Delft University of Technology (TU Delft)
Kim, E.-K. (Presenter)
Impact: Stakeholder Activity, Training Delivery
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Invited Tutorial on “Trajectory Analysis and Individuals’ Daily Mobility” in Women in Data Science (WiDS) Geneva 2022 Conference
Kim, E.-K. (Presenter)
Impact: Training Delivery, Network Activity, Stakeholder Activity
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Panel Discussion on "Can Urban Planners Survive in the AI Era?" in the Korean Planning Association Seminar Series
Kim, E.-K. (Scientific Communicator)
Impact: Stakeholder Activity, Media Output, Training Delivery
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Webinar on "AI and Sustainable Urbanization for Good" on the UN-ITU 'AI for Good' Global Summit platform
Kim, E.-K. (Organiser) & Choi, J. (Organiser)
Impact: Media Output, Stakeholder Activity, Training Delivery