3430 Science and Engineering Complex
The Sensor-Accelerated Intelligent Learning (SAIL) laboratory is founded and led by Dr. Jiaqi Gong starting from 2017. The research lab focuses on the convergence of human and artificial intelligence that spans the area of human-centered computing, cyber-physical systems, and smart and connected health, through inventing, developing, and applying mobile and wearable computing systems to examine and understand the coupled relationship between humans and intelligent systems towards advancing human capabilities: perceptual and cognitive, physical, and virtual. Specifically, the development of the novel framework for the convergence of human and artificial intelligence is crucial to tackling the challenges introduced by the characteristics of large amounts of big heterogeneous data and the new data science problems that arise in applications such as health and education. The research projects build logically on the prior findings and collaborations with interdisciplinary experts, such as Mechanism-Informed Multiscale Modeling and Machine Learning, Wearable and Mobile Technology for Behavior Change Intervention, Multimodal Sensing and Modeling for Human Movement Research, and Actionable Educational Data Mining.