Wearable sensing
Multimodal devices that capture physiological and behavioral signals in everyday settings.
Ph.D. Student · Penn State CSE
Zhenghao (Shawn) Li
I build intelligent wearable and IoT systems that turn real-world signals into useful, reliable health insights. My work spans hardware prototypes, data infrastructure, and machine learning models for deployment outside the lab.
Lab
IoT & Smart Wearables
Location
State College, PA
Current
Ph.D. Research
Currently at Penn State University
Doctoral advisor: Prof. Mahanth Gowda
Research Focus
Systems that move from prototype to practice
I work across the stack so sensing hardware, data collection, modeling, and user-facing tools fit together cleanly.
Machine learning
Robust models for time-series sensing, personalization, and real-world deployment.
IoT systems
End-to-end data pipelines from embedded prototypes to reliable applications.
Healthcare technology
Human-centered sensing tools for continuous, practical health insight.
About
Practical sensing, built end to end
I work on human-centered sensing systems with a focus on smart wearables, healthcare technology, and machine learning. Recent projects include multimodal wearable prototypes, robust time-series modeling, and data workflows designed for real-world deployment.
Skills
PyTorchTensorFlowKerasscikit-learnPythonC/C++SQLJavaNode.jsDockerAWSLinuxGit
Timeline
Education and research path
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2023 - Now
Ph.D. Student in Computer Science, Penn State University
Wearables, IoT, machine learning, and human-centered sensing systems.
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2021 - 2023
M.S. in Computer Science, University of Southern California
Focused on artificial intelligence and machine learning.
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2017 - 2021
B.S. in Computer Science, University of California, Irvine
Built a foundation in software systems, data, and applied computing.
Award
Best Teaching Assistant
Dept. of CSE, Penn State University (2025)
Contact