HighlightsThese highlights are AI-generated using the faculty's CV and Google Scholar profile
Ee-Peng Lim is a globally recognized expert in social network mining, data mining, and computational social science, whose pioneering research and leadership have shaped the fields of AI, data science, and digital wellbeing.
Combines foundational advances in network and data mining with impactful applications in digital health, urban analytics, and labour market intelligence; leads large-scale, interdisciplinary research initiatives; recognized for methodological rigor, real-world deployment, and fostering computational social science in Asia.
Focused research areas include Mining and modeling social and information networks; multimodal data integration and retrieval; explainable AI; digital health and wellbeing; career trajectory analytics; urban informatics; user behavior analysis in online platforms; trustworthy and robust AI systems.
Combines foundational advances in network and data mining with impactful applications in digital health, urban analytics, and labour market intelligence; leads large-scale, interdisciplinary research initiatives; recognized for methodological rigor, real-world deployment, and fostering computational social science in Asia.
Focused research areas include Mining and modeling social and information networks; multimodal data integration and retrieval; explainable AI; digital health and wellbeing; career trajectory analytics; urban informatics; user behavior analysis in online platforms; trustworthy and robust AI systems.
Areas of Expertise
Data and Text MiningSocial Network MiningInformation IntegrationDigital Libraries
Past Awarded Grant
- Conversational Health AI for Mental Health, Population Health Research Grant (PHRG), Ministry of Health (MOH), PI (Project Level): LIM Ee Peng, 2024, S$1,197,300
- ACTBIG: On Analysing Career Trajectories using Big Data, Academic Research Fund (AcRF) Tier 2, Ministry of Education (MOE), PI (Project Level): LIM Ee Peng, 2024, S$803,088
- Digital Wellbeing: Identifying, Testing and Measuring Framework Indicators Towards Digital Readiness, Inclusion and Safety, National University of Singapore (NUS), Co-PI (Project Level): LIM Ee Peng, 2024, S$78,750
- Digital Wellbeing: Identifying, Testing and Measuring Framework Indicators Towards Digital Readiness, Inclusion and Safety, National University of Singapore (NUS), Co-PI (Project Level): LIM Ee Peng, 2022, S$121,096
- Singlish Learning by Crowdsourcing, DSO National Laboratories, PI (Project Level): LIM Ee Peng, 2020, S$612,300
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- P Achananuparp, Y Xu, Y Lu, XJS Ashok, EP LimEPJ Data Science 15 (1), 4, 2026
- F Zhu, SY Philip, A Nadamoto, EP Lim, K Shim, W Ding, B ZhangSpringer Nature, 2026
- Q Wang, CW Ngo, EP LimarXiv preprint arXiv:2511.15201, 2025
- B Satar, Z Ma, PA Irawan, WA Mulyawan, J Jiang, EP Lim, CW NgoProceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025
- Q Wang, CW Ngo, Y Cao, EP LimProceedings of the 33rd ACM International Conference on Multimedia, 6223-6231, 2025
- H Zhu, Y Ge, H Xiong, EP LimProceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and …, 2025
Qualification
- PhD, University of Minnesota at Minneapolis, 1994
Teaching Topics
- Data Management
- Data Mining and Business Analytics
