Summary
Accomplished professor and lab director at NUIST, pioneering AI-driven multimodal sensing & energy materials. An innovator combining machine learning with chemical sensing, with significant interdisciplinary research and industry collaborations.
Education
- Ph.D. in Materials Physical Chemistry from Nankai University (China) & Ludwig Maximilian University of Munich (Germany) (2007.09-2010.06)
- DAAD Scholarship recipient for cross-disciplinary research.
Professional Experience
Professor & Lab Director at the Key Laboratory of New Energy Materials & Devices, NUIST (2010.08 – Present)
-
Led over 20 researchers in developing breathable sensors.
-
Directed 4 provincial R&D projects on advanced sensing materials with an Ā„18M budget.
-
Established an industry-academia platform with 6 medical device manufacturers.
Visiting Scholar at Hanyang University (2020.10 – 2021.02)
-
Co-developed hypersensitive gas sensors (detection limit <5 ppb).
-
Implemented multimodal deep learning for sensor signal processing.
Research Interests
- AI-Driven Sensing: Multimodal neural networks, gas pattern recognition
- Device Engineering: MEMS sensors, flexible electronics, IoT integration
- Advanced Characterization: In-situ FTIR, XPS, GC-MS
- Innovation Milestones: Self-calibrating sensor array for COPD diagnosis (2023), graphene-based VOC sensor patent (2022), and open-source ML framework for sensor data fusion (2021)