Educational Qualifications

2018                    
Ph.D. in Engineering (Computer Science), The University of Melbourne, Australia

2013                    
Master of Science (Research), The University of Western Australia, Australia

2007                    
Bachelor of Computer Science (First Class Honours), The University of Western Australia, Australia


Academic and Professional Experience

2026 – Present     
Senior Lecturer, School of Business, Singapore University of Social Sciences

2025 – 2026         
Programme Director, M.Sc. in Technology and Design (Artificial Intelligence), Singapore University of Technology and Design (SUTD)

2020 – 2026         
Chair, Undergraduate Committee (Information Systems Technology and Design), SUTD

2020 – 2026         
Lead, Engineering Accreditation (Computer Science and Design), SUTD

2019 – 2026         
Fellow, SUTD Academy, SUTD

2018 – 2026         
Director, Social and Urban Analytics Lab, SUTD

2018 – 2026         
Assistant Professor, ISTD Pillar, SUTD

2017 – 2018         
DSTG Postdoctoral Fellow in Social Media Analysis, School of Computing and Information Systems, The University of Melbourne, Australia

2016                    
Research Intern, Cognitive Analytics Team, IBM Research – Australia

2016                    
Visiting Researcher, Department of Design & Innovation, Case Western Reserve University, USA

2013 – 2014         
Research Engineer, Living Analytics Research Centre, Singapore Management University


Awards and Honours

2026                    
IAAI Deployed Application Award, Fortieth AAAI Conference on Artificial Intelligence and Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence

2022 – 2025              
Recognised among the World’s Top 2% Scientists (Stanford University list); 2022–2024 for annual research impact and 2025 for career-length impact in the field of Artificial Intelligence

2024                         
Nominated for the Asian Young Scientist Fellowship

2024                         
Global Excellence Award, Institute of Engineering & Management Group

2023                         
Excellent Presentation Award, 15th International Conference on Computer and Automation Engineering

2019                         
Shortlisted for the Singapore National Research Foundation (NRF) Fellowship

2018                         
Shortlisted for the Melbourne School of Engineering PhD Thesis Prize

2018                         
Best Contribution Runner-up, Workshop on Online Recommender Systems and User Modeling

2016 – 2017              
Google PhD Fellowship in Machine Learning (one of only four awarded in Australia)

2014 – 2017              
Melbourne International Research Scholarship, Melbourne International Fee Remission Scholarship and NICTA Top-Up Scholarship for PhD research

2011 – 2013              
Australian Postgraduate Award and International Postgraduate Research Scholarship for M.Sc. research

2007                         
Currie Hall Academic Prize (top student out of 300+ residents) and Dean’s Congratulations for First Class Honours, The University of Western Australia

Selected Publications

For the complete and up-to-date list, please refer to: https://scholar.google.com/citations?user=K3oGQ4QAAAAJ

Journal Publications (Peer-reviewed)

  • Nguyen, D. V. A., Gunawan, A., Misir, M., Lim, K. H., & Vansteenwegen, P. (in press). Deep reinforcement learning for solving the stochastic e-waste collection problem. European Journal of Operational Research. [SJR Q1; Scopus Top 10%]
  • Halder, S., Lim, K. H., Chan, J., & Zhang, X. (in press). Deep learning of dynamic POI generation and optimisation for itinerary recommendation. ACM Transactions on Recommender Systems.
  • Yee, A. Z. H., Kwok, B., Ng, J., Loy, G. P., Ng, L. Y., Sng, J. R. H., Perrault, S., Lim, K. H., & Subburaj, K. (2025). Why older adults integrate digital health technology into their everyday lives: The role of basic psychological needs. Human Behavior and Emerging Technologies, 2025(1), Article 9711661, 1–13. [SJR Q1; Scopus Top 10%]
  • Chin, D. W. K., Lim, K. H., & Lee, R. K.-W. (2024). RumorGraphXplainer: Do structures really matter in rumor detection. IEEE Transactions on Computational Social Systems, 11(5), 6038–6055. [SJR Q1; Scopus Top 10%]
  • Chin, W. C. B., Fu, Y., Lim, K. H., Schroepfer, T., & Cheah, L. (2024). Identifying urban functional zones by analysing the spatial distribution of amenities. Environment and Planning B: Urban Analytics and City Science, 51(6), 1274–1289. [SJR Q1; Scopus Top 10%]
  • Halder, S., Lim, K. H., Chan, J., & Zhang, X. (2024). A survey on personalized itinerary recommendation: From optimisation to deep learning. Applied Soft Computing, 152, Article 111200, 1–14. [SJR Q1; Scopus Top 10%]
  • Halder, S., Lim, K. H., Chan, J., & Zhang, X. (2022). POI recommendation with queuing time and user interest awareness. Data Mining and Knowledge Discovery, 36(6), 2379–2409. [SJR Q1; Scopus Top 10%]
  • Liu, J., Lim, K. H., Wood, K. L., Huang, W., Guo, C., & Huang, H.-L. (2021). Hybrid quantum-classical convolutional neural networks. SCIENCE CHINA Physics, Mechanics & Astronomy, 64, Article 9, 1–8. [SJR Q1; Scopus Top 10%]
  • Lim, K. H., Chan, J., Leckie, C., & Karunasekera, S. (2019). Tour recommendation and trip planning using location-based social media: A survey. Knowledge and Information Systems, 60(3), 1247–1275. [SJR Q1]
  • Lim, K. H., Chan, J., Leckie, C., & Karunasekera, S. (2018). Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowledge and Information Systems, 54(2), 375–406. [SJR Q1]

 

Conference Publications (Peer-reviewed)

  • Liu, J., Tan, Y. K., Fu, B., & Lim, K. H. (2026). Balancing accuracy and efficiency in multi-turn intent classification for LLM-powered dialog systems in production. In Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI’26), Innovative Applications of Artificial Intelligence Track. [CORE Rank A*; IAAI Deployed Application Award]
  • Liu, J., Tan, Y. K., Fu, B., & Lim, K. H. (2025). From intents to conversations: Generating intent-driven dialogues with contrastive learning for multi-turn classification. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM’25). [CORE Rank A]
  • Mu, W., & Lim, K. H. (2025). Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM’25). [CORE Rank A]
  • Mu, W., Liu, J., & Lim, K. H. (2024). Fast bibliography pre-selection via two-vector semantic representations. In Proceedings of the 2024 ACM/IEEE Joint Conference on Digital Libraries (JCDL’24). [CORE Rank A*]
  • Liu, J., Tan, Y. K., Fu, B., & Lim, K. H. (2024). LARA: Linguistic-adaptive retrieval-augmentation for multi-turn intent classification. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP’24), Industry Track. [CORE Rank A*]
  • Li, M., Lim, K. H., Guo, T., & Liu, J. (2023). A transformer-based framework for POI-level social post geolocation. In Proceedings of the 45th European Conference on Information Retrieval (ECIR’23), 588–604. [CORE Rank A]
  • Zhang, Y., He, R., Liu, Z., Lim, K. H., & Bing, L. (2020). An unsupervised sentence embedding method by mutual information maximization. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP’20), 1601–1610. [CORE Rank A*]
  • Liu, J., Wood, K. L., & Lim, K. H. (2020). Strategic and crowd-aware itinerary recommendation. In Proceedings of the 2020 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD’20), 69–85. [CORE Rank A]
  • Lim, K. H., Lee, K. E., Kendal, D., Rashidi, L., Naghizade, E., Winter, S., & Vasardani, M. (2018). The grass is greener on the other side: Understanding the effects of green spaces on Twitter user sentiments. In Proceedings of the 2018 Web Conference Companion (WWW’18), Cognitive Computing Track, 275–282. [CORE Rank A*]
  • Lim, K. H., Chan, J., Karunasekera, S., & Leckie, C. (2017). Personalized itinerary recommendation with queuing time awareness. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’17), 325–334. [CORE Rank A*]
  • Lim, K. H., Chan, J., Leckie, C., & Karunasekera, S. (2016). Towards next generation touring: Personalized group tours. In Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS’16), 412–420. [CORE Rank A*]
  • Lim, K. H., Chan, J., Leckie, C., & Karunasekera, S. (2015). Personalized tour recommendation based on user interests and points of interest visit durations. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI’15), 1778–1784. [CORE Rank A*]

 

Book Chapters

  • Lim, K. H., Lee, K. E., Kendal, D., Rashidi, L., Naghizade, E., Feng, Y., & Wang, J. (2019). Understanding sentiments and activities in green spaces using a social data-driven approach. In Smart Cities: Issues and Challenges: Mapping Political, Social and Economic Risks and Threats (pp. 77–107). Elsevier.
  • Lim, K. H., & Datta, A. (2013). A topological approach for detecting Twitter communities with common interests. In Ubiquitous Social Media Analysis, LNCS Vol. 8329 (pp. 23–43). Springer-Verlag Berlin Heidelberg.

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