张佩佩，博士在读，讲师。研究方向为随机控制与优化，主要从事高等数学、概率论与数理统计、线性代数等课程的教学工作。2020年-2024年发表1篇论文，一篇论文在投，两篇论文待整理。
主要承担课程：
《概率论与数理统计》、《统计学》、《R软件与金融计算》、《matlab与金融实验》等。
近来的科研成果：
[1] Peipei, Z., & Chuanhe, S. (2019). A Hybrid Approach of Combining BP Neural Network and GARCH Model for Forecasting Stock Price. In 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019). Atlantis Press.
[2] Peipei, Z., & Chuanhe, S. (2019). Choice of the number of hidden layers for back propagation neural network driven by stock price data and application to Price Prediction. The 4th Annual International Conference on Information System and Artificial Intelligence (ISAI 2019).
[3] Peipei, Z., & Hong, H. (2019). Discrete-time stochastic source seeking via tunning the velocity actuated vehicle. The 5th International Conference on Control, Automation and Robotics (ICCAR 2019).
[4] 张佩佩.集成算法概述.信息与电脑(理论版),2019(03):50-51.
