姓名：孙晨暄
职称：讲师
研究方向（Focus Area）：
1、二型模糊神经网络优化设计
2、新能源发电系统智能建模
3、人工智能技术及应用研究
联系方式
办公地址：主楼 D763
办公电话：010-61771046
一、个人简介及主要荣誉称号
孙晨暄，女，1998年1月生。2019年在南京工业大学获得学士学位，2025年在北京工业大学获得博士学位。
主要从事二型模糊神经网络优化设计、新能源发电系统智能建模、人工智能技术及应用研究。在IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Fuzzy Systems、IEEE Transactions on Systems, Man and Cybernetics: Systems、Information Sciences等期刊发表系列研究成果。以第一作者/合作者身份发表SCI、EI论文10余篇，美国/中国发明专利7项。
二、教学与人才培养情况
担任2025级人工智能专业本科班主任，协助指导硕士研究生。
三、主要科研项目情况
科技创新2030重大项目，XXX安全防护基础平台关键技术，2025.8-2029.7，参与
四、代表性论著
[1]SUN Chenxuan, HAN Honggui, WU Xiaolong, YANG Hongyan. Antiforgetting incremental learning algorithm for interval type-2 fuzzy neural network. IEEE Transactions on Fuzzy Systems, 2024, 32(4):1938-1950.
[2]SUN Chenxuan, WU Xiaolong, YANG Hongyan, HAN Honggui, ZHAO Dezheng. Multimodal learning-based interval type-2 fuzzy neural network. IEEE Transactions on Fuzzy Systems, 2024, 32(11): 6409-6423.
[3]SUN Chenxuan, LIU Zheng, WU Xiaolong, YANG Hongyan, HAN Honggui. Information orientation-based modular type-2 fuzzy neural network. Information Sciences, 2024, 672, 120716.
[4]HAN Honggui, SUN Chenxuan, WU Xiaolong, YANG Hongyan, QIAO Junfei. Training fuzzy neural network via multiobjective optimization for nonlinear systems identification. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3574-3588.
[5]HAN Honggui, SUN Chenxuan, WU Xiaolong, YANG Hongyan, QIAO Junfei. Self-organizing interval type-2 fuzzy neural network with adaptive discriminative strategy. IEEE Transactions on Fuzzy Systems, 2023, 31(6): 1925-1939.
[6]HAN Honggui, SUN Chenxuan, WU Xiaolong, YANG Hongyan, QIAO Junfei. Self-organizing interval type-2 fuzzy neural network using information aggregation method. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(9): 6428-6442.
[7]HAN Honggui, SUN Chenxuan, WU Xiaolong, YANG Hongyan, QIAO Junfei. Nonsingular gradient descent algorithm for interval type-2 fuzzy neural network. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(6): 8176-8189.
[8]HAN Honggui, SUN Chenxuan, WU Xiaolong, YANG Hongyan, ZHAO Nan, QIAO Junfei. Data-knowledge-driven inductive learning method for modeling wastewater treatment processes. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2025, 55(1): 465-479.
[9]HAN Honggui, SUN Chenxuan, WU Xiaolong, YANG Hongyan, ZHAO Nan, LI Jie, QIAO Junfei. Dynamic-static model for monitoring wastewater treatment processes, Control Engineering Practice, 2023, 132: 105424.
HAN Honggui, SUN Chenxuan, WU Xiaolong, YANG Hongyan, ZHAO Dezheng. Self-organizing stacked type-2 fuzzy neural network with rule generalization. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(6): 10128-10142.