Pervasive Autonomous Networked Systems Lab

Make the world a smarter place


The number of everyday smart devices (e.g., Nest, Notion,  Samsung SmartThings) is projected to grow to billions in the coming decade. The Cyber-Physical Systems and Internet of Things systems that consist of these devices obtain human information for various smart applications (e.g., elderly care, patient monitoring, etc.). Due to the complexity of the physical world, data acquisition quality and sensing data distributions can change significantly under different sensing conditions, resulting in requiring more resources to achieve accurate information inference.

We aim to Sense for Less to make CPS/IoT systems more pervasive. From the system perspective, our research focuses on autonomous-assessing, configuring, and adapting heterogeneous cyber-physical sensing systems for accurate non-intrusive human information inference.  From the data perspective, our research addresses the challenges of limited labeled data by combining physical and data-driven knowledge to model the change.

UC Merced is located between Silicon Valley and the beautiful Yosemite National Park
#18 in Mobile Computing and #63 in general by CSRankings
#60 in U.S. News College Ranking

I'm looking for highly motivated PhD students. 

Please contact me via email.

Current Projects

Structure-Augmented Intelligent Surfaces (Metasurface Scale) 

Converting ambient surfaces into low-cost sensors by altering their surface properties 

Musculoskeletal Sensing and Intervention (Personal Scale)

Preventive musculoskeletal health via non-intrusive wearable sensing 

Vibrations of Ambient Things (Building Scale)

Capturing ambient structures and objects' vibration to infer occupant information non-intrusively

AIoT Enabled Augmented Air Quality Monitoring (State Scale)

Coming soon!  


Alumni Spin-off