Kaikai Liu
Assistant Professor
Computer Engineering

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Kaikai Liu joined SJSU as an assistant professor in the Department of Computer Engineering since 2015. His research interests include Mobile and Cyber-Physical Systems (CPS), Smart Sensing, Internet-of-Things (IoT), Software-Defined Computing and Networking.
He was a member in the Scalable Software Systems Laboratory (S3Lab) and Advanced Computing and Information Systems Laboratory (ACIS) at the University of Florida (UF), where he contributed to many Nation-level Landmark Projects, including NSF GatorCloud (National 1st SDN-enabled campus cloud). He has published over 15 peer-reviewed papers in journals and conference proceedings, 1 book, and holds 4 patents (licensed by three companies). He developed several prototype systems that can potentially improve and save people's lives, for example, emergency communication system for smart city, Ultra-wideband communication and detection for search and rescue victims, indoor localization and navigation for the disabilities. He is a recipient of the Outstanding Achievement Award at UF (four times), the Apple WWDC Student Scholarship (2013 and 2014), the Innovator Award from the Office of Technology Licensing at UF (2014), the Top Team Award at NSF I-Corps Winter Cohort (Bay area, 2015), the 2015 Gator Engineering Attribute Award for Creativity, and the IEEE SECON Best Paper Award. He served as the TPC member for the Data Center & Big Data track of the 24th and 25th ICCCN, technical reviewers for many IEEE/ACM transactions.


1) Mobile and Cyber-Physical Systems (CPS)
2) Smart Sensing
3) Internet-of-Things (IoT)
4) Software-Defined Computing and Networking


1. Liu, K., and Li, X. (2016) "Enhancing Smartphone Indoor Localization via Opportunistic Sensing" IEEE International Conference on Sensing, Communication and Networking (SECON 2016), London, UK. (Best Paper Award, Acceptance: 56/213 = 26%)

2. Liu, K., Li, M. and Li, X. (2015) "Hiding Media Data via Shaders: Enabling Private Sharing in the Clouds" The 8th IEEE International Conference on Cloud Computing (CLOUD 2015). (Accepted, acceptance: 15%).

3. Liu, K., and Li, X. (2014) "Enabling Context-Aware Indoor Augmented Reality via Smartphone Sensing and Vision Tracking." ACM Transactions on Multimedia Computing, Communications and Applications (TOMM).

4. Liu, K., Liu, X., and Li, X. (2014) "Guoguo: Enabling Fine-grained Smartphone Localization via Acoustic Anchors." IEEE Trans on Mobile Computing (TMC).

5. Liu, K., and Li, X. (2014) "FindingNemo: Finding Your Lost Child in Crowds via Mobile Crowd Sensing." The 11th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2014), Philadelphia, Pennsylvania. (Acceptance: 48/181 = 26.5%)

6. Liu, K., Liu, X., and Li, X. (2013) "Guoguo: Enabling Fine-grained Indoor Localization via Smartphone." The 11th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2013), Taipei, Taiwan. (Acceptance: 33/210 = 15.7%)

7. Liu, K., Li, X., et al, (2013) "Towards Accurate Acoustic Localization on a Smartphone." The 32st IEEE International Conference on Computer Communications (INFOCOM 2013), Turin, Italy. (Acceptance: 21%)