范夏琼，女，1994.6月生，博士，讲师。

电子邮箱：fxq@haut.edu.cn

研究方向：深度学习、大数据分析、化学计量学、代谢组学分析.

教育经历：

2013.09-2017.06,中南大学,应用化学,学士;

2017.09-2022.06,中南大学,分析化学,博士;

代表性教科研学术成果：

论文：

1. Xiaqiong Fan; Hongmei Lu; Zhimin Zhang. A Universal and Accurate Method for Easily Identifying Component in Raman Spectroscopy Based on Deep Learning, Analytical Chemistry, 2023, 95: 4863-4870.

2. Xiaqiong Fan; Zhimin Zhang; Hongmei Lu. Fully automatic resolution of untargeted GC-MS data with deep learning assistance, Talanta, 2022, 244: 123415.

3. Xiaqiong Fan; Hongmei Lu; Zhimin Zhang. Deep-Learning-Assisted multivariate curve resolution, Journal of Chromatography A, 2021, 1635:

461713.

4. Xiaqiong Fan; Zhimin Zhang; Hongmei Lu; Deep learning-based component identification for the Raman spectra of mixtures, Analyst, 2019, 144: 1789-1798.

5. Xiaqiong, Fan; Hongmei, Lu; Zhimin, Zhang. Direct calibration transfer to principal components via canonical correlation analysis, CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2018, (181): 21-28.

项目：

1.范夏琼，基于深度学习的代谢组学色谱-质谱分辨与标记物发现研究与应用，河南省科技厅科技攻关项目，2023.01-2025.12.