Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award
Nanjing University of Information Science and Technology, China
Profiles
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)
Publications
Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance
- Authors: S. Shao, Shaofeng; L. Yan, Liangwei; J. Li, Jiale; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
Journal: ACS Sensors
Year: 2025
Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water
- Authors: Y. Huang, Yiru; S. Li, Shenyue; W. Hu, Wenguang; Q. Li, Qingfang; L. Zhang, Lei
Journal: ACS Applied Materials and Interfaces
Year: 2024
Data-driven exploration of terbium-doped tungsten oxide for Ultra-Precise detection of 3H-2B: Implications for gas sensor applications
-
Authors: S. Shao, Shaofeng; L. Yan, Liangwei; L. Zhang, Lei; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
Journal: Chemical Engineering Journal
Year: 2024
Ionic liquid-assisted preparation of Ag–Zn–In–S quaternary quantum dot thin films and luminescence performance optimized by machine learning
-
Authors: S. Wei, Song; X. Luo, Xiang; S. Shao, Shaofeng; L. Zhang, Lei
Journal: Dyes and Pigments
Year: 2024