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个人简介 吴旻诚，博士，现就职于浙江工业大学信息工程学院，任朝晖特聘研究员，校聘教授。      2021年至2023年在浙江大学控制科学与工程学院从事博士后研究。2021年毕业于浙江大学控制科学与工程学院，获工学博士学位，专业为控制科学与控制理论。2018年至2019年于美国波士顿大学联合培养，专业为理论物理。2014年至2016年在浙江大学数学科学学院硕博连读（硕士阶段），专业为计算数学。2014年毕业于浙江师范大学初阳学院，获理学学士学位，专业为数学与应用数学。目前主要从事网络科学、数据挖掘、机器视觉等方向的研究工作。曾获浙江大学优秀博士学位论文等学术荣誉。 科研成果 期刊论文：[1] Mincheng Wu, , Jiming Chen, Shibo He, Youxian Sun, Shlomo Havlin, Jianxi Gao. Discrimination reveals reconstructability of multiplex networks from partial observations, Communications Physics, 2022.[2] Mincheng Wu, Chao Li, Zhangchong Shen, Shibo He, Lingling Tang, Jie Zheng, Yi Fang, Kehan Li, Yanggang Cheng, Zhiguo Shi, Guoping Sheng, Yu Liu, Jinxing Zhu, Xinjiang Ye, Jinlai Chen, Wenrong Chen, Lanjuan Li, Youxian Sun, Jiming Chen. Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing data[J], Communications Physics, 2022.[3] Mincheng Wu, Zhen Li, Cunqi Shao, Shibo He. Quantifying multiple social relationships based on a multiplex stochastic block model[J]. Frontiers of Information Technology & Electronic Engineering, 2020.[4] Mincheng Wu, Shibo He, Yongtao Zhang, Jiming Chen, Youxian Sun, Yang-Yu Liu, Junshan Zhang, H. Vincent Poor. A tensor-based framework for studying eigenvector multicentrality in multilayer networks[J], Proceedings of the National Academy of Sciences, 2019.[5] Cunqi Shao, Mincheng Wu, Shibo He, Zhiguo Shi, Chao Li, Xinjiang Ye, Jiming Chen. Leveraging human mobility data for efficient parameter estimation in epidemic models of COVID-19[J], IEEE Transactions on Intelligent Transportation Systems, 2022.[6] Yulong Cui, Mincheng Wu, Shibo He, Peng Cheng, Hairong Dong. Fast restoring the controllability of networked systems with symmetric weights[J], IEEE Transactions on Network Science and Engineering, 2022.[7] Yulong Cui, Mincheng Wu, Cunqi Shao, Shibo He. A temporal segmentation algorithm for restoring the controllability of networked control systems[J]. IET Control Theory & Applications, 2021.[8] Jinzhu Yu, Mincheng Wu, Gisela Bichler, Felipe Aros-Vera, Jianxi Gao. Reconstructing sparse illicit supply networks: a case study of multiplex drug trafficking networks[J], Entropy, 2022.[10] Yulong Cui, Shibo He, Mincheng Wu, Chengwei Zhou, Jiming Chen. Improving the controllability of complex networks by temporal segmentation[J]. IEEE Transactions on Network Science and Engineering, 2020.会议论文：[1] Zhenli Shou, Mincheng Wu, Kehan Li, Chao Li. An evidence study of long-term impacts on mobility patterns brought by COVID-19[C]. IEEE International Conference on Smart City and Information, 2022.[2] Qihao Huang, Chao Li, Mincheng Wu. LEAM: A large-scale events aware module for multistep intercity flow prediction[C]. IEEE/CIC International Conference on Communications in China,2023. (Best Paper Award) 科研项目 多层网络重构方法的建模、分析与应用，国家自然科学基金青年项目，主持，2022-2025；动态网络上联邦学习的结构优化策略，国家重点实验室开放课题，主持，2023-2024；并作为项目技术骨干参与国家重点研发计划项目、国际合作项目及企业横向委托等多项科研项目。 教学与课程 栏目建设中