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 ¥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)