北京交通大学硕士研究生导师信息:胡伟

2026-05-19 17:29:00来源: 网络

  在读研期间,所有与你读研相关的事情,可能都需要经过你的导师同意,所以说,选择导师真的很重要,也希望大家能够认真对待这件事,怎样才能选择适合自己的导师呢?这就要我们提前做足功课,尽可能多的搜集有关你准备报考的导师的信息,下面新东方在线考研频道为大家分享:“北京交通大学硕士研究生导师信息:胡伟”文章。

  胡伟

  博士 、副教授

  基本信息

  办公电话:电子邮件: huwei@bjtu.edu.cn

  通讯地址:北京市海淀区上园村3号 北京交通大学 7教7114邮编:100044

  教育背景

  2013年9月至2016年7月,在北京交通大学理学院数学系攻读硕士学位(概率论与数理统计专业);2016年10月至2019年7月,在法国里尔中央理工大学 (Centrale Lille, France) 攻读博士学位(自动化、信息工程、信号与图像处理专业),所在的实验室为法国里尔计算机科学、信号与自动化国家重点实验室 (CRIStAL, Centre de Recherche en Informatique, Signal et Automatique de Lille)。主要研究兴趣包括:人工智能优化与控制、复杂网络大数据分析与挖掘、智能交通管理与控制、分数阶微积分及其应用、群体智能优化理论及应用、机器学习。

  工作经历

  2025年05月至今,北京交通大学 数学与统计学院 数据科学系 副教授

  2023年06月至2025年04月,北京交通大学 系统科学学院 系统理论研究所 副教授

  2020年07月至今,北京交通大学 硕士生导师

  2019年12月至2023年05月,北京交通大学 交通运输学院 系统科学研究所 副教授

  研究方向

  数据分析与挖掘

  招生专业

  统计学硕士

  科研项目

  北京市自然基金“京津冀专项”: “人-车-路-云”协同环境下京津冀区域交通智慧管控理论与技术研究, 2024-2027

  国家自然科学基金“国际(地区)合作与交流项目”: 智能网联环境下城市道路交通系统的智慧管控与韧性提升子项目, 2025-2029

  国家自然科学基金“国际(地区)合作与交流项目”: 智能网联环境下城市道路交通系统的智慧管控与韧性提升, 2025-2029

  国家重点研发计划-任务: 基于多元因素影响的病原体跨尺度时空传播控制技术研究(三), 2023-2026

  国家重点研发计划-任务: 基于多元因素影响的病原体跨尺度时空传播控制技术研究(一), 2023-2026

  国家重点研发计划-课题: 基于多元因素影响的病原体跨尺度时空传播控制技术研究, 2023-2026

  基础研究项目: 面向智能调度的强化学习理论研究, 2023-2025

  基础研究项目: 智能网联环境下基于分数阶微积分的新型混合交通流建模分析与协同管控, 2023-2025

  国家自然科学基金“基础科学中心”: 未来网联自动驾驶环境下城市交通智慧管控与协调优化, 2023-2027

  红果园国家级"四总部": 基因序列数据组装算法和软件研究, 2021-2023

  红果园国家级"四总部": 基于纳米孔测序与CRISPR的生物XXXX研究(一), 2021-2023

  红果园国家级"四总部": 基于纳米孔测序与CRISPR的生物XXXX研究, 2021-2023

  自然科学类人才基金项目: 复杂环境下智能网联车辆队列的建模、控制与优化, 2020-2023

  教学工作

  本科生课程:数据挖掘(48学时)、几何与代数(56学时)、交通数据分析方法(32学时)、科技论文写作(32学时)

  研究生课程:学术写作能力(16学时)、非线性理论与应用(英文 32学时)、复杂系统模型分析(32学时)

  本研贯通高级课程群课程:非线性现象分析与工程应用(32学时)

  高职、函授课程:管理运筹学(64/16学时)

  教改项目:

  《非线性理论与应用》来华留学研究生课程建设项目,2024-2025,主持;

  本研跨学科高级课程群课程建设项目:非线性现象分析与工程应用,2021-2023,主持;

  北京交通大学在线开放课程建设项目:非线性现象分析与工程应用,2022-2023,主持;

  北京交通大学研究生优质核心课程建设项目:非线性系统理论,2020-2022,参与;

  论文/期刊

  Shang, J., Hu, W.*, Jiang, R., & Yu, Y. (2026). Parameter calibration of nonlinear car-following model based on an improved stochastic fractal search algorithm. Nonlinear Dynamics, 114(7), 542.

  Liu, R., Hu, W.*, Pedrycz, W., Song, Y., Xing, L., & Yu, Y. (2026). A reinforcement learning-based artificial bee colony algorithm for resolving the UAV logistics path planning problem in a 3D space. Swarm and Evolutionary Computation, 102, 102328.

  Liu, S., Cui, Y., Yu, Y., & Hu, W. (2026). A Q-learning-based hybrid search algorithm integrating PRM and ACO for 3D UAV path planning. Scientific Reports, 16, 5447.

  黎添, 苏伟, 陈阳泉, 于永光, 胡伟*. 社交媒体时代水军机制的数学理论. 系统科学与数学, 2025. https://doi.org/10.12341/jssms250510

  Li, K., Yu, Y., Cui, Y., Hu, W., & Li, J. (2025). Utilizing simplified structural information for multiobjective community detection. Applied Soft Computing, 114336.

  Li, K., Yu, Y., Hu, W.*, Cui, Y., & Li, J. (2025). Robust asymmetric nonnegative matrix factorization for community detection in directed network. Chaos, Solitons & Fractals, 200, 117144.

  Fu, Y., Hu, W.*, Shang, J., Jiang, R., & Yu, Y. (2025). A fractional-order car-following model with random delay optimized by an enhanced whale optimization algorithm. Nonlinear Dynamics, 113, 21277–21303

  刘润恺,胡伟,宋彦杰 & 邢立宁. (2025). 面向三维无人机物流路径规划问题的改进人工蜂群算法.控制理论与应用, 42(11), 2274-2285.

  Jiang, Y., Hu, W., Gu, W., Yu, Y., & Xu, M. (2025). A multi-mode hybrid electric vehicle routing problem with time windows. Transportation Research Part E: Logistics and Transportation Review, 195, 103976.

  Cheng, X., Hu, W., Yu, Y., & Rahmani, A. (2024). Multi-surrogate-assisted stochastic fractal search based on scale-free network for high-dimensional expensive optimization. Expert Systems with Applications, 249, 123517.

  Cui, Y., Hu, W.*, & Rahmani, A. (2024). Multi-robot path planning using learning-based Artificial Bee Colony algorithm. Engineering Applications of Artificial Intelligence, 129, 107579.

  Ni, X., Hu, W.*, Fan, Q., Cui, Y., & Qi, C. (2024). A Q-learning based multi-strategy integrated artificial bee colony algorithm with application in unmanned vehicle path planning. Expert Systems with Applications, 236, 121303.

  Cheng, X., Yu, Y., & Hu, W.* (2023). Multi-surrogate-assisted stochastic fractal search algorithm for high-dimensional expensive problems. Information Sciences, 640, 119035.

  Xu, J., Hu, W., Gu, W., & Yu, Y. (2023). A discrete JAYA algorithm based on reinforcement learning and simulated annealing for the traveling salesman problem. Mathematics, 11(14), 3221.

  Yang, D., Yu, Y., Hu, W., Yuan, X., & Ren, G. (2023). Mean Square Asymptotic Stability of Discrete-Time Fractional Order Stochastic Neural Networks with Multiple Time-Varying Delays. Neural Processing Letters, 1-22.

  Cui, Y., Hu, W.*, & Rahmani, A. (2023). Fractional-order artificial bee colony algorithm with application in robot path planning. European Journal of Operational Research, 306(1), 47-64.

  Cui, Y., Hu, W.*, & Rahmani, A. (2022). A reinforcement learning based artificial bee colony algorithm with application in robot path planning. Expert Systems with Applications, 203, 117389.

  Wang, S., Hu, W., Riego, I., & Yu, Y. (2022). Improved surrogate-assisted whale optimization algorithm for fractional chaotic systems' parameters identification. Engineering Applications of Artificial Intelligence, 110, 104685.

  Cui, Y., Hu, W.*, & Rahmani, A. (2022). Improved artificial bee colony algorithm with dynamic population composition for optimization problems. Nonlinear Dynamics, 107(1), 743-760.

  Hu, W., Yu, Y., Rahmani, A., & Wen, G. (2021). Robust consensus tracking based on hABC algorithm with parameters identification for uncertain nonlinear FOMASs with external disturbances. Journal of the Franklin Institute, 358(18), 9975-10003.

  Wang, S., Yu, Y., & Hu, W.* (2021). Static and dynamic solar photovoltaic models' parameters estimation using hybrid Rao optimization algorithm. Journal of Cleaner Production, 315, 128080.

  Hu, W., Wen, G., Rahmani, A., Bai, J., & Yu, Y. (2020). Leader‐following consensus of heterogenous fractional‐order multi‐agent systems under input delays. Asian Journal of Control , 22(6), 2217-2228.

  Zhang, Y., Wen, G., Rahmani, A., Peng, Z., & Hu, W. (2020). Cluster consensus of multi-agent systems with general linear and nonlinear dynamics via intermittent adaptive pinning control. Transactions of the Institute of Measurement and Control, 0142331220975254.

  Hu, W., Wen, G., Rahmani, A., & Yu, Y. (2019). Parameters estimation using mABC algorithm applied to distributed tracking control of unknown nonlinear fractional-order multi-agent systems. Communications in Nonlinear Science and Numerical Simulation, 79, 104933.

  Hu, W., Wen, G., Rahmani, A., & Yu, Y. (2019). Differential evolution-based parameter estimation and synchronization of heterogeneous uncertain nonlinear delayed fractional-order multi-agent systems with unknown leader. Nonlinear Dynamics, 97(2), 1087-1105.

  Hu, W., Wen, G., Rahmani, A., & Yu, Y. (2019). Distributed consensus tracking of unknown nonlinear chaotic delayed fractional-order multi-agent systems with external disturbances based on ABC algorithm. Communications in Nonlinear Science and Numerical Simulation, 71, 101-117.

  Jiang, W., Peng, Z., Rahmani, A., Hu, W., & Wen, G. (2018). Distributed consensus of linear MASs with an unknown leader via a predictive extended state observer considering input delay and disturbances. Neurocomputing, 315, 465-475.

  Hu, W., Yu, Y., & Gu, W. (2018). Parameter estimation of fractional-order arbitrary dimensional hyperchaotic systems via a hybrid adaptive artificial bee colony algorithm with simulated annealing algorithm. Engineering Applications of Artificial Intelligence, 68, 172-191.

  Gu, W., Yu, Y., & Hu, W. (2017). Artificial bee colony algorithm-based parameter estimation of fractional-order chaotic system with time delay. IEEE/CAA Journal of Automatica Sinica, 4(1), 107-113.

  Cui, X., Yu, Y., Wang, H., & Hu, W. (2016). Dynamical analysis of memristor-based fractional-order neural networks with time delay. Modern Physics Letters B, 30(18), 1650271.

  Gu, W., Yu, Y., & Hu, W. (2016). Parameter estimation of unknown fractional-order memristor-based chaotic systems by a hybrid artificial bee colony algorithm combined with differential evolution. Nonlinear Dynamics, 84(2), 779-795.

  Hu, W., Yu, Y., & Zhang, S. (2015). A hybrid artificial bee colony algorithm for parameter identification of uncertain fractional-order chaotic systems. Nonlinear Dynamics, 82(3), 1441-1456.

  Hu, W., Yu, Y., & Wang, S. (2015). Parameters estimation of uncertain fractional-order chaotic systems via a modified artificial bee colony algorithm. Entropy, 17(2), 692-709.

  Zhang, S., Yu, Y., & Hu, W. (2014). Robust stability analysis of fractional-order Hopfield neural networks with parameter uncertainties. Mathematical Problems in Engineering, 2014.

  会议论文:

  Fu, Y., Hu, W.*, Cui, Y., Gu, W., Jiang, R., & Yu, Y. (2024, October). Calibration of Fractional-order Car-following Model Using Improved Whale Optimization Algorithm. In 2024 International Conference on New Trends in Computational Intelligence (NTCI) (pp. 555-560). IEEE.

  Wang, J., Hu, W.*, Cui, Y., Gu, W., Jiang, R., & Yu, Y. (2024, October). Adaptive Fractional-Order PID Controller Design and Parameter Tuning for Vehicle Longitudinal Control. In 2024 International Conference on New Trends in Computational Intelligence (NTCI) (pp. 417-421). IEEE.

  Chen, J., Hu, W., Cui, Y., Gu, W., & Yu, Y. (2025, August). Surrogate-assisted Improved Beluga Whale Optimization for Urban Road Network Traffic Signal Control. In 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS) (pp. 166-171). IEEE.

  Xu, Z., Zhang, Z., Jin, Y., Jiang, Y., & Hu, W. (2025, May). Optimization of Task Allocation for Plant Protection UAVs Based on Adaptive Large Neighborhood Search. In 2025 37th Chinese Control and Decision Conference (CCDC) (pp. 4029-4034). IEEE.

  Zhang, C., Ren, G., Yu, Y., & Hu, W. (2025). Finite-time stability of stochastic systems driven by fractional Brownian motion. IFAC-PapersOnLine, 59(37), 193-198.

  Zhang, X., Yu, Y., Ren, G., & Hu, W. (2025). Quasi-projective synchronization of discrete-time tempered fractional-order neural networks with time delays. IFAC-PapersOnLine, 59(37), 226-231.

  专著/译著

  专利

  软件著作权

  获奖与荣誉

  2025.05 2025年第八届智能优化与调度学术会议 优秀poster奖

  2024.11 2024年中国工业工程年会暨第十三届工业工程企业应用与实践高峰论坛 优秀论文

  2024.10 2024 Intemational Conference on New Irends in Computational Intelligence BEST POSTER AWARD

  2024.05 第八届中国系统科学大会 张贴论文一等奖

  2023.11 中国自动化学会 自然科学奖二等奖(2/5)

  2023.06 北京交通大学 本科毕设优秀指导教师

  2020.11 北京交通大学交通运输学院 教学基本功比赛二等奖

  2016.10 国家留学基金委 国家公派博士研究生奖学金

  2016.06 北京市 优秀毕业生

  2016.06 北京交通大学 优秀毕业生

  2016.06 北京交通大学 优秀共产党员

  2016.03 北京市 三好学生

  2015.12 教育部 研究生国家奖学金

  2015.10 北京交通大学 三好研究生

  2014.10 北京交通大学 优秀研究生干部

  以上就是小编为大家分享的:“北京交通大学硕士研究生导师信息:胡伟”,更多研究生导师信息,欢迎继续浏览新东方在线研究生导师频道。


考研择校小程序

点击展开阅读全文