讲授课程：

本科生课程：《人工智能》、《大数据分析与处理》

留学生课程：《大数据分析与处理》

科研项目：

1）中国博士后科学基金面上项目，主持，2023.05-2025.05；

2）青岛市博士后资助项目，主持，2022.10-2024.10；

3）山东科技大学“菁英计划”，主持，2020.10-2025.10；

4）国家自然科学重点研究计划项目，参与，2018.01-2020.12；

5）国家自然科学基金青年科学基金项目，参与，2019.01-2020.12。

代表论文：

1）Shaohua Xu, Naidan Feng*, Kun Liu, Yongquan Liang, and Xiaoyu Liu. "A weighted fuzzy process neural network model and its application in mixed-process signal classification." Expert Systems with Applications 172 (2021): 114642.

2）Naidan Feng, Tsu-Yang Wu, and Yongquan Liang. "A deep dynamic neural network model and its application for ECG classification." Journal of intelligent & fuzzy systems 43.2 (2022): 2147-2154.

3）Yang Li, Qihang Sun, Naidan Feng*, and Jianjun Liu. "Sharp L2 Norm Convergence of Variable-Step BDF2 Implicit Scheme for the Extended Fisher–Kolmogorov Equation." Journal of Function Spaces 2023 (2023).

4）Naidan Feng, Shaohua Xu, Yongquan Liang, and Kun Liu. "A Probabilistic Process Neural Network and Its Application in ECG Classification." IEEE Access 7 (2019): 50431-50439.

5）Naidan Feng, and Yongquan Liang. "A New Rough Set Bayesian Classifier Prior Assumption." Journal of Intelligent and Fuzzy Systems (2020): 1-9.

6）Kun Liu, Shaohua Xu, and Naidan Feng. "A radial basis probabilistic process neural network model and corresponding classification algorithm." Applied Intelligence (2019): 1-10.