Kaikai Liu is an Associate Professor and Cisco Corporate Chair Professor in the Department of Computer Engineering. His research interests include Intelligent and Autonomous Systems, Mobile and Cyber-Physical Systems (CPS), Artificial Intelligence of Things (AIoT), Smart Sensing, Data Mining, Next-Generation Communication and Sensing Systems.

He has published over 40 peer-reviewed papers in journals and conference proceedings, 1 book, and holds 4 patents (licensed by three companies). His research has been funded by the National Science Foundation (NSF), Department of Health of Hawaii, Knight Foundation, and many industry companies including Intel, Arista, and Cisco. He was a member of the NSF Big Learning Center (previously Scalable Software Systems Laboratory).

He received a Ph.D. degree in Computer Engineering from the University of Florida (UF) under the direction of Dr. Xiaolin (Andy) Li. He is a recipient of the Outstanding Achievement Award at UF (four times), the Apple WWDC 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 at UF, IEEE SWC 2017 Best Paper Award, IEEE SECON 2016 Best Paper Award, ACM SenSys 2016 Best Demo – Runner-up, 2016 CoE Kordestani Endowed Research Professor, 2017 and 2018 CoE Research Professor Award, Faculty Mentoring Award for CSU Student Competition 2018, and 2020 College of Engineering Award for Excellence in Scholarship. He served as the technical program chair for IEEE Mobile Cloud 2020, 2023 and as a TPC member and technical reviewer for many IEEE/ACM conferences and journals.