Brian LIMAssistant Professor
Ph.D. (Human-Computer Interaction, Carnegie Mellon University)
M.S. (Human-Computer Interaction, Carnegie Mellon University)
B.S. (Engineering Physics, Minor: Computer Science, Cornell University)
- Explainable Artificial Intelligence
- Human-Computer Interaction
- Ubiquitous Computing
- Healthcare Analytics and Apps
- Context-Aware Computing
Brian Lim is an Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS). He received a B.S. degree in engineering physics from Cornell University, Ithaca, New York, U.S.A., in 2006, and a Ph.D. degree in human-computer interaction from Carnegie Mellon University, Pittsburgh, U.S.A., in 2012. He leads the NUS Ubicomp Lab focusing on research on ubiquitous computing, human-computer interaction, machine learning and explainable artificial intelligence for user-centric and trustworthy systems. His research focuses on designing, developing and evaluating context-aware and AI-driven technologies to address societal challenges in healthcare, wellness and urban sustainability.
- Data analysis of National Steps Challenge
- Intelligible Data Analytics for Urban Computing
- Intelligible Predictive Analytics to support Clinical Decision Making
- TasteHealthy: automated mobile food logging and personalised meal recommendation for tasty, healthy food
Ashraf Mohammed, Jo Vermeulen, Danding Wang, and Brian Y. Lim. 2018. Towards Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. Accepted to CHI 2018 Conference on Human Factors in Computing Systems.
Brian Y. Lim, Xinni Chng, and Shengdong Zhao. 2017. Trade-off between Automation and Accuracy in Mobile Photo Recognition Food Logging. In Proceedings of the Fifth International Symposium of Chinese CHI (Chinese CHI 2017). ACM, New York, NY, USA, 53-59.
Wang, L., Zhang, D., Yang, D., Lim, B. Y., Ma, X. 2016. Differential Location Privacy for Sparse Mobile Crowdsensing. In IEEE International Conference on Data Mining 2016.
Urban, B., Shmakova, V., Lim, B. Y., Roth, K. 2015. Residential Consumer Electronics Energy Consumption in the United States. In Energy Efficiency in Domestic Appliances and Lighting 2015.
Lim, B. Y., Roth, K., Nambiar, S., Rayakota, H. 2014. Rapid Prototyping of Energy Management Applications with FRESH. In ACEEE Summer Study 2014.
Lim, B. Y. and Dey, A. K. 2013. Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application. HCI International 2013.
Lim, B. Y. and Dey, A. K. 2011. Investigating Intelligibility for Uncertain Context-Aware Applications. In Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11). ACM, New York, NY, USA, 415-424.
Lim, B. Y. and Dey, A. K. 2011. Design of an Intelligible Mobile Context-Aware Application. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '11). ACM, New York, NY, USA, 157-166.
Lim, B. Y. and Dey, A. K. 2010. Toolkit to Support Intelligibility in Context-Aware Applications. In Proceedings of the 12th ACM international Conference on Ubiquitous Computing (Copenhagen, Denmark, September 26 - 29, 2010). Ubicomp '10. ACM, New York, NY, 13-22.
Lim, B. Y. and Dey, A. K. 2009. Assessing Demand for Intelligibility in Context-Aware Applications. In Proceedings of the 11th international Conference on Ubiquitous Computing (Orlando, Florida, USA, September 30 - October 03, 2009). Ubicomp '09. ACM, New York, NY, 195-204.
Lim, B. Y., Dey, A. K., and Avrahami, D. 2009. Why and why not explanations improve the intelligibility of context-aware intelligent systems. In Proceedings of the 27th international Conference on Human Factors in Computing Systems (Boston, MA, USA, April 04 - 09, 2009). CHI '09. ACM, New York, NY, 2119-2128. Best long paper nomination.
Awards & Honours
- 2007-2012 A*STAR NSS(Ph.D.) Scholarship
- 2003-2006 A*STAR NSS(BS) Scholarship
- CS3249: User Interface Development
- CS4249: Phenomena and Theories of Human-Computer Interaction