研究方向：

智能传感器芯片、嵌入式系统、信号处理、工业物联网

在顺德创新学院的基础科研条件：

实验条件：15米*8米*6.5米微波暗室及天线测试测量平台，电子电路专用信号源、示波器及频谱等高精度测量仪表平台，3D打印及小型机加工平台，满足FPGA、嵌入式系统、电子电路、无线通信以及信号分析等科研需求。

代表性成果：

1. Wang Xiaofen, Wang Peng, Zhang Xiaotong, Wan Yadong, Liu Wen, Shi Haodong.  Efficient and robust Levenberg-Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection. COMPUTERS & GEOSCIENCES, 2023.

2. Wang Xiaofen, Wang Peng, Zhang Xiaotong, Wan Yadong, Shi Haodong, Liu Wen. Target Electromagnetic Detection Method in Underground Environment: A Review. IEEE SENSORS JOURNAL. 2022.

3. Li Zhuang, Qin Jingyan, Gong Haiyan, Zhang Xiaotong, Wan Yadong. Enhancing the generalization of feature construction using genetic programming for imbalanced data with augmented non-overlap degree. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021.

4. Yadong Wan, Tong Li, Peng Wang, Shihong Duan, Chao Zhang, Na Li. Robust and Efficient Classification for Underground Metal Target Using Dimensionality Reduction and Machine Learning. IEEE Access 2021.

5. 地上地下融合应急管控物联网关键技术及应用,中国指挥与控制学会科学技术进步奖,二等奖,2020

6. 城市安全保障物联网关键技术研发与应用,天津市，天津市科学技术进步奖，二等奖，2019