个人资料：
姓名：党伟东
职称：副研究员
学科专业：控制科学与工程
通讯地址：天津大学电气自动化与信息工程学院26教学楼E区
电子信箱：weidongdang@tju.edu.cn
² 2016.09-2022.05 天津大学 电气自动化与信息工程学院 硕博连读
² 2012.09-2016.06 天津大学 电气自动化与信息工程学院 工学学士
² 2022.07-至今 天津大学 电气自动化与信息工程学院 助理研究员
² March 2024-present University of Aberdeen, School of Natural & Computing Sciences, Honorary Research Fellow
多源数据融合、复杂网络建模、深度学习、多相流、脑机接口
[1] 教育部博士后PC专项 (国家博士后重点资助项目)，XXXXXX，XXXXXX，在研，主持
[2] 国家自然科学基金青年基金项目，62306209，原油拓扑动力学牵引下的含水率建模关键技术研究，2024/01-2026/12，在研，主持
[3] 中国博士后科学基金面上项目，2023M732596，基于拓扑卷积的油水两相流含水率建模关键技术研究，2023/05~2025/04，在研，主持
[4] 天津大学科技领军创新人才培育“启明计划”项目，基于拓扑动力学的油水两相流建模研究，2024/01~2025/12，在研，主持
[5] 天津市研究生科研创新项目，2020YJSB004，基于迁移学习的运动想象智能脑机接口系统构建，2020/10-2021/10，已结题, 主持
[1] Weidong Dang, Zhongke Gao, Linhua Hou, et al., A novel deep learning framework for industrial multiphase flow characterization, IEEE Transactions on Industrial Informatics, 2019, 15(11): 5954-5962.
[2] Weidong Dang, Dongmei Lv, Mengxiao Tang, et al., Flashlight-Net: a modular convolutional neural network for motor imagery EEG classification, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 54(7): 4507-4516.
[3] Weidong Dang, Dongmei Lv, Feng Jing, Ping Yu, Wei Guo, Zhongke Gao, A novel multiphase flow water cut modeling framework based on flow behavior-heuristic deep learning, Engineering Applications of Artificial Intelligence, 2024, 136: 108956.
[4] Weidong Dang, Zhongke Gao, Dongmei Lv, et al., Rhythm-dependent multilayer brain network for the detection of driving fatigue, IEEE Journal of Biomedical and Health Informatics, 2020, 25(3): 693-700.
[5] Weidong Dang, Zhongke Gao, Xinlin Sun, et al., Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder, Nonlinear Dynamics, 2020, 102: 667-677.
[6] Weidong Dang, Dongmei Lv, Linge Rui, Ziang Liu, Guanrong Chen, Zhongke Gao, Studying multi-frequency multilayer brain network via deep learning for EEG-based epilepsy detection, IEEE Sensors Journal, 2021, 21(24): 27651-27658.
[7] Weidong Dang, Mengyu Li, Dongmei Lv, et al., MHLCNN: Multi-harmonic linkage CNN model for SSVEP and SSMVEP signal classification, IEEE Transactions on Circuits and Systems II:Express Briefs, 2022, 69: 244-248.
[8] Weidong Dang, Zhongke Gao, Dongmei Lv, et al., A novel time-frequency multilayer network for multivariate time series analysis, New Journal of Physics, 2018, 20: 125005.
[9] Weidong Dang, Dongmei Lv, Rumei Li, et al., Multilayer network-based CNN model for emotion recognition, International Journal of Bifurcation and Chaos, 2022, 32(1): 2250011.
[10] Weidong Dang, Kefa Zhang, Haoyu Li, et al., An attention-based multiple band interaction network for motor imagery EEG decoding, Applied Soft Computing, 2025, 184: 113750.
[11] Weidong Dang, Xiaoyang Li, Ruiqi Wang, et al., A novel multiphase flow water cut modeling framework based on multi-level multi-scale convolutional neural network, IEEE Sensors Journal, 2025, 25(18): 35170 - 35177.
[12] Weidong Dang, Zichen Ren, Jialu Sun, et al., ML-TGNet: A Multi-Level Topology Guidance Network for Motor Imagery Decoding, IEEE Journal of Biomedical and Health Informatics, 2025, 10.1109/JBHI.2025.3624298.
[13] Sehnan Moeed, Haoyu Li, Wei Guo, Bello Isah, Weidong Dang*, et al., A frequency-guided temporal convolutional network with transfer learning for motor imagery classification, Biomedical Signal Processing and Control, 2025, 112: 108590.
[14] Haoyu Li, Jianpeng An, Rongshun Juan, Benko Tina P, Perc Matjaž, Weidong Dang*, et al., Manifold-based multi-branch transfer learning for MI-EEG decoding, Chaos, Solitons & Fractals, 2025, 196: 116326.
[15] Bello Isah, Sehnan Moeed, Weidong Dang*, et al., MSDA-Net: Multiscale Spatiotemporal Dual-Attention Network for EEG-Based Driver Fatigue Detection, Journal of Sleep Research, 2025, e70230.
² 电气自动化与信息工程学院优秀班主任-2023
² 天津大学优秀博士学位论文-2022
² 三次获评研究生国家奖学金– 2021、2019、2017
² 天津大学博士生学术论坛一等奖– 2021
² “中国航天科技集团有限公司CASC公益奖学金”一等奖– 2020
² 中国仪器仪表学会唐辉电子奖学金 – 2020
² 电气自动化与信息工程学院“十佳杰出青年”– 2020
