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)
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.
- Explainable Artificial Intelligence
- Human-Computer Interaction
- Ubiquitous Computing
- Healthcare Analytics and Apps
- Context-Aware Computing
- 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