معرفی
Kaikai Liu is an Associate Professor and Cisco Corporate Chair Professor in the Department of Computer Engineering at San José State University, Charles W. Davidson College of Engineering. He is actively engaged in research, teaching, and leadership in intelligent and autonomous systems, cyber-physical systems, and AIoT. His work bridges academia and industry, with collaborations involving NSF, Intel, Cisco, Arista, and the Department of Health of Hawaii.
Research Interests:
- Intelligent and Autonomous Systems
- Mobile and Cyber-Physical Systems (CPS)
- Artificial Intelligence of Things (AIoT)
- Smart Sensing and Data Mining
- Edge Computing and Next-Generation Communication Systems
His research spans both theoretical and applied domains, focusing on real-world deployments in smart cities, emergency response, behavioral health, and assistive technologies. He emphasizes system prototyping, data-driven analytics, and human-centered design.
Recent Research Trends: His recent publications and projects show a strong focus on integrating AI with edge computing and sensing, particularly in cooperative perception (RINGS), mental health (OHANA), disaster communication, and intelligent urban infrastructure. There is a clear trajectory toward multi-modal, data-intensive systems that operate in real-time and support societal resilience.
Scientific Awards:
- IEEE SWC 2017 Best Paper Award
- IEEE SECON 2016 Best Paper Award
- ACM SenSys 2016 Best Demo - Runner-up
- 2020 College of Engineering Award for Excellence in Scholarship
- Faculty Mentoring Award for CSU Student Competition 2018
- Apple WWDC Scholarship (2013, 2014)
- National Scholarship of China
- Multiple University of Florida and SJSU Research Professor Awards
Advising and Grants: Dr. Liu has mentored student teams to national recognition, including a first prize in the 2017 Juniper SDN Throwdown. He has secured significant research funding as Principal Investigator from the National Science Foundation (NSF), Knight Foundation, Intel, Cisco, Arista, and the U.S. Department of Health. Notable grants include the five-year OHANA Center (SAMHSA), RINGS (NSF), and multiple industry-funded projects on edge AI and smart infrastructure.
Labs and Teams: He leads a research group focused on intelligent systems and edge computing, with a history of developing full-stack prototype systems like the SJGateway. He has led teams in the NSF Big Learning Center and the OHANA Center of Excellence, fostering interdisciplinary collaboration across engineering, public health, and social sciences.
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