Biography
Zann Koh is a Research Fellow at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC). Their research interests lie in data analytics and human mobility, with a focus on developing systematic approaches to uncovering meaningful patterns and insights from complex datasets.
She earned her PhD in Engineering Product Development from the Singapore University of Technology and Design in 2023. Prior to joining LKYCIC, she contributed to a large-scale project investigating Singapore’s outdoor recreational spaces, focusing on the analysis of real-world mobility data collected from park visitors.
Her doctoral research focused on the development of frameworks and approaches for analysing mobility patterns in real-world datasets. Her work explored techniques for feature engineering and the application of existing machine learning algorithms to support the extraction and interpretation of insights from mobility data.
She is supporting Belinda and team on the “Urban Innovation and Transformation Study of LKY World City Prize Network Cities: Benchmarks, Case Studies and Trends” project.
Education
- PhD, Engineering and Product Development, Singapore University of Technology and Design (2023)
- Bachelor of Engineering, Engineering and Product Development, Singapore University of Technology and Design (2017)
Publications
- Koh, Z., Marakkalage, H., Lau, B. P. L., Zhou, Y., Liu, R. and Yuen, C., 2024, Urban Mobility and Neighbourhood Activity Analyses Using Data from Smart Mobile Devices, In Keng Hua Chong (Ed.), Data-Driven Smart Community Design (pp. 128-168), Routledge, https://doi.org/10.4324/9781003437659-7
- Koh, Z., Marakkalage, H., Lau, B. P. L., Zhou, Y., Liu, R. and Yuen, C., 2024, Large-Scale Human Mobility Tracking in Residential Estates, In Keng Hua Chong (Ed.), Data-Driven Smart Community Design (pp. 169-191), Routledge, https://doi.org/10.4324/9781003437659-8
- Koh, Z., Zhou, Y., Lau, B. P. L., Liu, R., Chong, K. H., & Yuen, C., 2022, Clustering and Analysis of GPS Trajectory Data Using Distance-based Features, IEEE Access, 10, 125387-125399, https://doi.org/10.1109/ACCESS.2022.3225646
- Koh, Z., Zhou, Y., Lau, B. P. L., Yuen, C., Tuncer, B., & Chong, K. H., 2020, Multiple-perspective Clustering of Passive Wi-Fi Sensing Trajectory Data, IEEE Transactions on Big Data, 8(5), 1312-1325, https://doi.org/10.1109/TBDATA.2020.3045154
- Zhou, Y., Lau, B. P. L., Koh, Z., Yuen, C., & Ng, B. K. K., 2020, Understanding Crowd Behaviors in a Social Event by Passive Wifi Sensing and Data Mining, IEEE Internet of Things Journal, 7(5), 4442-4454, https://doi.org/10.1109/JIOT.2020.2972062
Conference presentations/proceedings
- De Silva, U., Fernando, L., Lau, B. P. L., Koh, Z., Joyce, S. C., Yuen, B., & Yuen, C., (2024, December), Large Language Models for Video Surveillance Applications (Speaker), TENCON 2024-2024 IEEE Region 10 Conference (TENCON), IEEE https://doi.org/10.1109/TENCON61640.2024.10902892
- Koh, Z., Ng, B. K. K., Joyce, S. C., Yuen, B., & Yuen, C., (2024, November), Understanding Park Visitors’ Mobility via Passive Wi-Fi Sensing and Data Mining (Speaker), Proceedings of the 19th Workshop on Mobility in the Evolving Internet Architecture, https://doi.org/10.1145/3691555.3696831
- Koh, Z., Qin, Y., Guan, Y. L., & Yuen, C., (2023, March), A Slow Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting (Speaker), 2023 IEEE International Conference on Smart Mobility (SM), IEEE, https://doi.org/10.1109/SM57895.2023.10112492
- Zhou, Y., Koh, Z., Ng, B. K. K., Liu, R., Foo, S. X. D., Yuen, C., & Chong, K. H., (2021, July), Understanding Residents’ Behaviors in a Housing Estate by Passive WiFi Sensing and Data Mining, 2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), IEEE, https://doi.org/10.1109/WorldS451998.2021.9514003