基本信息：马云鹏、男、副教授、信息工程学院、副院长
教育背景：2012-09 至 2018-06, 燕山大学, 控制科学与工程, 博士
获得荣誉：
2021年获得“五比双创”青年示范岗优秀个人。
2023年获得天津商业大学优秀共产党员。
2024年获得2023年天津商业大学优秀教师。
联系方式：mayunpeng@tjcu.edu.cn
学科领域：
信号与信息处理方向，主要包括：
（1）机器学习及应用 （2）智能计算与信息处理
代表性论文：
1. Ma Yunpeng, Zhang Xinxin , Song Jiancai , Chen Lei. A modified teaching–learning-based optimization algorithm for solving optimization problem[J]. Knowledge-Based Systems, 2021, 212:106599.（SCI 1区）
2. Ma Yunpeng, Xu Chenheng, Wang Hua, Liu Shengkai, Gu Xiaoying. Time series online forecasting based on Sequence Decomposition Learning Networks[J].Applied Soft Computing, 2023,148:110907.（SCI 1区）
3. Ma Yunpeng, Wang Xiaolu, Meng Wanting. A Reinforced Whale Optimization Algorithm for Solving Mathematical Optimization Problems[J].Biomimetics, 2024, 9(9):576.（SCI 3区）
4. Ma Yunpeng, Xu Chenheng, Wang Hua, Wang Ran, Liu Shilin, Gu Xiaoying.Model NOx, SO2 Emissions Concentration and Thermal Efficiency of CFBBB ased on a Hyper-Parameter Self-Optimized Broad Learning System[J].Energies, 2022,15:7700.（SCI 3区）
5. Ma Yunpeng, Chang Chang, Lin Zehua, Zhang Xinxin, Song Jiancai, ChenLei. Modified Marine Predators Algorithm hybridized with teaching learning mechanism for solving optimization problems[J].Mathematical Biosciences and Engineering，2022,20(1): 93–127.（SCI 4区）
6. Ma Yunpeng, Niu Peifeng, Yan Shanshan, Li Guoqiang. A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model[J]. Applied mathematics and computation. 2018, 334:214-226.（SCI 2区）
7. Ma Yunpeng, Niu Peifeng, Zhang Xinxin, Li Guoqiang. Research and application of quantum-inspired double parallel feed-forward neural network[J]. Knowledge-Based Systems, 2017, 136:140-149. （SCI 2区）
8. Niu Peifeng, Ma Yunpeng, Yan Shanshan. A modified teaching-learning-based optimization algorithm for numerical function optimization[J]. International Journal of Machine Learning and Cybernetics, 2019,10:1357-1371. （SCI 3区）
9. Niu Peifeng, Ma Yunpeng, Li Guoqiang. Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine[J].Soft computing, 2018, 22:4685-4701.（SCI 3区）
10. Niu Peifeng, Ma Yunpeng, Li Mengning, Yan Shanshan, Li Guoqiang.A Kind of Parameters Self-adjusting Extreme Learning Machine[J]. Neural Processing Letters, 2016, 44(3):813-830.（SCI 4区）
11. Zhang Yakun, Ma Yunpeng, Wu Yang, Liu Lingling. Achieving widely distributed feature matches using flattened-affine-SIFT algorithm for fisheye images[J]. Optics Express, 2024, 32(5):7969-7986. （SCI 2区）
12. Song Jiancai, Zhang Liyi, Jiang Qingling, Ma Yunpeng, et al. Estimate the daily consumption of natural gas in district heating system based on a hybrid seasonal decomposition and temporal convolutional network model[J]. Applied Energy, 2022, 309:118444.（SCI 1区）
13. Song Jiancai, Zhang Liyi, Xue Guixiang, Ma Yunpeng, et al. Predicting Hourly Heating Load in a District Heating System Based on a Hybrid CNN-LSTM Model[J]. Energy and Buildings, 2021, 243（3）:110998.（SCI 2区）
14. Ma Yunpeng, Wang Heqi, Zhang Xinxin, et al. Three-objective optimization of boiler combustion process based on multi-objective teaching-learning based optimization algorithm and ameliorated extreme learning machine[J]. Machine Learning with Applications, 2021, 5:100082.
15. Chen Lei, Hao Congwang, Ma Yunpeng. A Multi-Disturbance Marine Predator Algorithm Based on Oppositional Learning and Compound Mutation[J]. Electronics, 2023, 11(24):4087.（SCI 4区）
16. Chen Lei, Song Na, Ma Yunpeng. Harris hawks optimization based on global cross-variation and tent mapping[J]. Journal of supercomputing, 2023, 79(5):5576-5614.（SCI 3区）
17. Zhang Xinxin, Ma Yunpeng, Gao Shan, Song Jiancai, Chen Lei. Robust synchronization analysis of delayed fractional order neural networks with uncertain parameters[J]. AIMS MATHEMATICS, 2022, 7(10):18883-18896.（SCI 4区）
18. Chen Lei, Tian Yu, Ma Yunpeng. An improved grasshopper optimization algorithm based on dynamic dual elite learning and sinusoidal mutation[J]. Computing, 2022, 104(5):981-1015.（SCI 3区）
19. Liu Shilin, Ma Yunpeng, Wang Ran, Dong Wenju, Wang Yuyin. Optimize the NOx emission concentration of Circulation Fluidized Bed Boiler based on on-line learning neural network and modified TLBO algorithm[C]. ICMLC 2022: 2022 14th International Conference on Machine Learning and Computing (ICMLC), 2022. (EI)
20. Ma Yunpeng, Tang Haoheng, Wang Heqi, Wang Zhenying, Zhang Xinxin, Li Lipeng. A novel chaotic teaching learning based optimization algorithm and its application in optimization of extreme learning machine[C]. Journal of physics:conference series, 2021.(EI)
21. Zhang Xinxin, Ma Yunpeng. LMIs conditions to robust pinning synchronization of uncertain fractional-order neural networks with discontinuous activations[J]. Soft Computing, 2020, 24(21):15927-15935. （SCI 3区）
22. Zhang Xinxin, Niu Peifeng, Hu Xiaobin, Ma Yunpeng, Li Guoqiang. Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations vianon-fragile control strategy[J]. Neurocomputing, 2019, 361(7):1-9.（SCI 2区）
23. Zhang Xinxin, Niu Peifeng, Ma Yunpeng, Wei Yanqiao, Li Guoqiang.Global Mittag-Leffler stability analysis of fractional-orderimpulsive neural networks with one-side Lipschitz condition[J].Neural networks : the official journal of the International Neural Network Society, 2017, 94:67. （SCI 1区）
24. Niu Peifeng, Chen Ke, Ma Yunpeng, Li Xia, Liu Aling, Li Guoqiang.Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm[J]. Knowledge-Based Systems, 2016,118(15):80-92. （SCI 2区）
25. Li Guoqiang, Niu Peifeng, Ma Yunpeng, Wang Hongbin, Zhang Weiping.Tuning extreme learning machine by an improved artificial bee colony to model and optimize the boiler efficiency[J]. Knowledge-Based Systems, 2014, 67(3):278-289. （SCI 3区）
26. 马云鹏，牛培峰, 陈科, 闫姗姗, 李国强. 基于混沌分组教与学优化算法锅炉 NO x 模型优化研究[J]. 计量学报, 2018, 39(1):125-129.
27. 牛培峰, 马云鹏, 张京, 张鑫, 李国强. 基于相关向量机的电站锅炉NOx 燃烧优化[J]. 计量学报, 2016, 37(2):191-196.
28. 牛培峰, 马云鹏, 张欣欣,胡晓宾. 基于人工智能技术的火电厂燃煤锅炉 智 能 燃 烧 优 化 研 究 及 应 用 [J]. 智 能 科学与技术学报, 2019,1(2):143-170.
29. 牛培峰, 吴志良, 马云鹏, 史春见, 李进柏. 基于鲸鱼优化算法的汽轮机热耗率模型预测[J]. 化工学报, 2017, 68(3):1049-1057
科研项目：
1.主持.基于知识和数据双驱动的锅炉燃烧系统多目标优化策略研究（62203332），国家自然科学基金青年项目，2022年.
2.主持完成.循环流化床锅炉燃烧过程系统建模与参数整定研究（20JCQNJC00430）,天津市自然科学基金青年项目,2020年.
3.参与.基于区块链的物联网采集终端的设计与系统实现,天津市科技特派员项目,2020年.
4.参与.基于人工智能的集中供热负荷预测与动态调控关键技术研究,天津市科技特派员项目,2019年.
5.参与.基于样本增量驱动的量子快速学习网络模型与蜂群算法研究及其在循环流化床锅炉燃烧过程优化控制中的应用（61573306），国家自然科学基金资助项目，2016年.
6.参与.新型神经网络算法研究及其在锅炉燃烧优化中的应用（61403331），国家自然科学基金资助项目，2015年.
7.参与.基于人工智能的煤粉炉燃烧过程系统建模与参数整定（BJ2017033），河北省高等学校青年拔尖人才资助项目，2017年.
8.参与.具有不确定参数的时滞分数阶神经网络的鲁棒准同步控制，天津市高校科技发展基金项目，2022年.
9.参与.面向 CPS 的高效状态感知方法研究，天津市高校科技发展基金项目，2022年.
团队成员：陈雷，宋建材，张欣欣
