张鲁筠，副教授，毕业于山东大学信号与信息处理专业，获博士学位；研究方向：荧光光谱技术作为各类环境检测的重要手段，具有操作简单、快速经济、灵敏度高、鲁棒性高，样品损害小的优势，但光谱指标解析不如传统气相色谱质谱分析更为直观有效。本人研究方向为将数据挖掘算法和技术与非线性光谱分析深度融合，算法研究包括特征提取、神经网络、主成分分析、多维平行因子分析等多方向多维度。旨在提高可分析的光谱数据的容量，并精准解析光谱指标。

参与项目与获奖：

1. 山东省自然科学基金项目联合专项：多种群多尺度实体肿瘤生长数学建模及其临床应用；

2. 潍坊市科技发展计划项目：多尺度形变配准在图像引导肿瘤放疗中的研究及临床应用；

3. 教育部产学合作协同育人项目：通信原理基础教学中实施创新创业教育研究；

4.山东省第五届高校青年教师教学比赛，一等奖，省教育厅.

发表论文与获批专利：

1. Lujun Zhang, Xiaodong Huang, Xinmin Fan, Weidong He, Chun Yang, Chunyan Wang, Rapid fingerprinting technology of heavy oil spill by mid-infrared spectroscopy, Environmental Technology. 2021,42,270-278.

2. Lujun Zhang, Xiaodong Huang, Chunyan Wang*, and Chun Yang*, Insight into polycyclic aromatic hydrocarbons in unconventional oil via concentration-resolved fluorescence spectroscopy coupled with data mining techniques, Energy & fuels, 2019, 33, 8, 7206-7215.

3. Lujun Zhang, Xiaodong Huang, Yan Wang, Chunyan Wang*, and Yongzhi Sun*, Discussion on dual-tree complex wavelet transform and generalized regression neural network based concentration-resolved fluorescence spectroscopy for oil identification, Analytical Methods, 2019, 11, 36, 4566 – 4574.

4. Chunyan Wang, Xiaodong Huang, Xinmin Fan, Weidong He and Lujun Zhang, Characteristic and discrimination of unconventional oil samples by two‐dimensional extraction combined with concentration‐resolved fluorescence spectroscopy. The Canadian Journal of Chemical Engineering, 2019，97，1568-1574.

5.Zhang Lujun, Du Fei, Wang Yan, Li Yingde, Yang Chun, Li Sensen, Huang Xiaodong, Wang Chunyan, Oil Fingerprint Identification Technology Using a Simplified Set of Biomarkers Selected Based on Principal Component Difference, The Canadian Journal of Chemical Engineering, Accept (19-Apr-2021).