Short Biography

We have long been engaged in mathematical modeling research on molecular spectroscopy (including Raman, near-infrared, mid-infrared, and ultraviolet-visible spectroscopy) and imaging spectroscopy, as well as the development of portable online instruments, targeting fields such as aerospace, medical-engineering interdisciplinary research, smart environmental protection, and precision agriculture. We have presided over and completed 2 National Natural Science Foundation projects and 3 National High-Tech Research and Development Program (863 Program) projects. Additionally, we have carried out industry-university-research cooperation with multiple listed companies. As the first/corresponding author, we have published 70 SCI papers, including more than 20 in Q1 journals such as Analytical Chemistry (CAS Chemistry Area 1 Top Journal), Clinical Chemistry, and Gastroenterology (both CAS Medicine Area 1 Top Journals). We hold 21 authorized invention patents as the first inventor and have published 1 textbook.

Research Area

1. Spectroscopy/Imaging Spectroscopy Data Processing and Analysis.

2. Intelligent Non-Invasive Detection Technology for Precision Medicine.

3. Development of Portable Online Spectroscopic Detection Instruments.

4. Space Target Recognition.

Courses

1. Teaching undergraduate course Error Theory and Data Processing (National First-Class Undergraduate Course).

2. Teaching postgraduate course Principles and Applications of Measurement Uncertainty.

3. Teaching postgraduate course Design, Simulation and Experiments of Mechatronic Systems.

Papers & Books

1. Qingbo Li*, Jianwen Wang. Mutation Endmember Library Sparse Mixed Abundance Estimation Model for Glioma Margin Determination with Raman Spectroscopy. Analytical Chemistry. 2024,96(21): 8273-8281.

2. Qingbo Li* Rui Liu, Zhiqi Bi. Real-time discrimination of contamination source composed of multiple pollutants in surface water based on deep learning and UV-Vis spectral abundance estimation methodology. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2024, 307: 123635.

3. Qingbo Li*, Xupeng Shao, Lipu Zhou, et al. An Interpretable Multi-Scale Convolutional Attention Residual Neural Network for Glioma Grading with Raman Spectroscopy. Analytical Methods. 2025, 7: 677-687.

4. Qingbo Li*, Xupeng Shao, Yuan Wei, et al. Identification of Multiple Surface Water Contamination Sources Based on UV-Vis Spectral Unmixing with Turbidity Adaptiveness. ACS ES&T Water. 2024,4(5): 2292-2299.

5. Liu Rui, Liu Jieqiang, Huang Zhengwei, Qingbo Li*. A noninvasive blood glucose detection method with strong time adaptability based on fuzzy operator decision fusion and dynamic spectroscopy characteristics of PPG signals. Analytical Methods. 2024, DOI：10.1039/D4AY01697A

6. Qingbo Li* Xupeng Shao, Yuan Wei, et al. Dynamic Multivariate Outlier Detection Algorithm Using Ultraviolet-Visible Spectroscopy for Monitoring Surface Water Contamination with Hydrological Fluctuation in Real-Time. Applied Spectroscopy. 2023,77(12): 1371-1381.

7. Qingbo Li*, Zhixiang Zhang, Zhenhe Ma. Raman spectral pattern recognition of breast cancer: A machine learning strategy based on Feature Fusion and Adaptive Hyperparameter Optimization. Heliyon. 2023, 9: e18148

8. Qingbo Li*, Wenjie Li, Jialin Zhang, Zhi Xu. An improved k-nearest neighbour method to diagnose breast cancer. Analyst. 2018,143(12):2807 – 2811.

9. Qingbo Li*, Kejiang Wu. Determining the number of pure chemical components in the mixed spectral data based on eigenvalue sequences transform. Journal of Chemometrics. 2017,31(10): e2914.

10. Qingbo Li*, Qishuo Gao, Guangjun Zhang. Classification for breast cancer diagnosis with Raman spectroscopy, Biomedical Optics Express. 2014, 5(7) : 2435-2445.