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个人简介

周晟瀚,男,管理学博士,北京航空航天大学可靠性与系统工程学院副教授,硕士生导师。主要从事复杂系统风险评价与预测领域的交叉研究工作,在智能制造、医疗、交通等领域进行了系统的探索,主持了国家自然科学基金、航空科学基金和民机科研等多项科研项目,研究成果发表在TII, CSF, FGCS, HYPE,EJOR等国际知名学术期刊上。2007-2008年挂职锻炼,担任北京轨道交通指挥中心总经理助理。2013-2014年赴美国纽约州立大学宾汉顿分校(SUNY AT Binghamton)访问。 教育经历 2004.8~2009.6 北京航空航天大学 管理科学与工程 博士学位 硕博连读 1999.9~2003.7 北京航空航天大学 信息管理与信息系统 学士 大学本科毕业 工作经历 2009.6~2020.10 北京航空航天大学 可靠性与系统工程学院 博士后--讲师--副教授 2013.3~2014.4 SUNY AT BINGHAMTON SSIE VISITING FACULTY 荣誉及奖励 中国学位与研究生教育学会2023年优秀论文(二等),2023-03-20 北航教学成果奖二等奖 北航教学成果奖,2020-12-21 RAMS最佳论文奖,2018-01-23 北航优秀硕士论文指导教师,2019-01-02 北航教学优秀教学成果奖,2019-07-08

研究领域

数据驱动风险分析与预测理论 经济性风险分析 Healthcare风险分析

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Shenghan Zhou ,Tianhua iWang,Linchao Yang ,Zhao He and Siting Cao. A Self-Supervised Fault Detection for UAV Based on Unbalanced Flight Data Representation Learning and Wavelet Analysis. Aerospace 2023, 10(3), 250 Zhou, Shenghan; Wei, Chaofan; Song, Chaofei; Pan, Xing; Chang, Wenbing; Yang, Linchao, Short-Term Traffic Flow Prediction of the Smart City Using 5G Internet of Vehicles Based on Edge Computing, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2023.02, 24(2): 2229- 2238 (SCI/Q1) Zhou, Shenghan; Song, Chaofei; Zhang, Zhang, Jingjing; Chang, Wenbing; Hou, Wenkui; Yang, Linchao, A Hybrid Prediction Framework for Water Quality with Integrated W-ARIMA-GRU and LightGBM Methods, WATER,2022,14(9),1322 (SCI/Q2) Zhou, Shenghan; Song, Chaofei; Wang, Tianhuai; Pan, Xing; Chang, Wenbing; Yang, Linchao,A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining,ENTROPY ,2022,24(9),1193(SCI/Q2) Chang, Wenbing; Li, Ruowen; Fu, Yu; Xiao, Yiyong; Zhou, Shenghan*,A multistep forecasting method for online car-hailing demand based on wavelet decomposition and deep Gaussian process regression,JOURNAL OF SUPERCOMPUTING,2022,9 (SCI/Q2) Yang, Linchao; Zhang, Fan; Liu, Anying; Zhou, Shenghan*; Wu, Xiangwei; Wei, Fajie,A Study on the Identification of Delayed Delivery Risk Transmission Paths in Multi-Variety and Low-Volume Enterprises Based on Bayesian Network,APPLIED SCIENCES-BASEL,2022,12(23),12024 Wenbing Chang, Xinpeng Ji, Yinglai Liu, Yiyong Xiao, Bang Chen, Houxiang Liu and Shenghan Zhou*. Analysis of University Students’ Behavior Based on a Fusion K-Means Clustering Algorithm. Applied Sciences 2020, 10(18), 6566(SCI) Yiyong Xiao, Yue Zhang, Sadan Kulturel-Konak, Abdullah Konak, Yuchun Xu and Shenghan Zhou. The influence of additive manufacturing on the configuration of make-to-order spare parts supply chain under heterogeneous demand. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020. (SCI/Q1) Yang Pei, Xiao Yiyong, Zhang Yue, Zhou Shenghan*, Yang Jun, Xu Yuchun. The continuous maximal covering location problem in large-scale natural disaster rescue scenes. COMPUTERS & INDUSTRIAL ENGINEERING. 2020, 146. (SCI/Q1) Wu Xueyi#, Yuan Xinglong#, Wang Wei, Liu Kai, Qin Ying, Sun Xiaolu, Ma Wenjun, Zou Yubao, Zhang Huimin, Zhou Xianliang, Wu Haiying, Jiang Xiongjing, Cai Jun Chang Wenbing, Zhou Shenghan*, Song, Lei*. Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension. HYPERTENSION, 2020, 75(5): 1271-1278. (SCI/Q1) Xiao Yiyong, Yang Pei, Zhang Siyue, Zhou Shenghan*, Chang Wenbing, Zhang Yue. Dynamic Gaming Case of the R-Interdiction Median Problem with Fortification and an MILP-Based Solution Approach. SUSTAINABILITY, 2020, 12(2). (SCI/Q2) Chang Wenbing, Xu Zhenzhong, Xu Xingxing, Zhou Shenghan*, Cheng Yang. The attribute reduction method modeling and evaluation based on flight parameter data. NEURAL COMPUTING & APPLICATIONS, 2020, 32(1,SI): 51-60. (SCI/Q1) Chang Wenbing, Liu Yinglai, Wu Xueyi, Xiao Yiyong, Zhou Shenghan*, Cao Wen. A New Hybrid XGBSVM Model: Application for Hypertensive Heart Disease. IEEE ACCESS, 2019, 7: 175248-175258. (SCI/Q1) Zhang Siyue, Xiao Yiyong, Yang Pei, Liu Yinglai, Chang Wenbing, Zhou Shenghan*. An Effectiveness Evaluation Model for Satellite Observation and Data- Downlink Scheduling Considering Weather Uncertainties. REMOTE SENSING, 2019, 11(13). (SCI/Q1) Zhou, Shenghan, Xu, Xingxing, Xu, Zhenzhong, Chang Wenbing, Xiao Yiyong*. Fractional-Order Modeling and Fuzzy Clustering of Improved Artificial Bee Colony Algorithms. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15(11): 5988-5998. (SCI/Q1) Chang Wenbing, Liu Yinglai, Xiao Yiyong, Yuan Xinglong, Xu Xingxing, Zhang Siyue, Zhou Shenghan*. A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical Data. DIAGNOSTICS, 2019, 9(4). (SCI/Q1) Zhou Shenghan, Xu Xingxing, Liu, Yinglai, Chang Runfeng, Xiao Yiyong*. Text Similarity Measurement of Semantic Cognition Based on Word Vector Distance Decentralization With Clustering Analysis. IEEE ACCESS, 2019, 7: 107247-107258. (SCI/Q1) Zhou Shenghan, Xu Xingxing, Xiao Yiyong*, Chang Wenbing, Qian Silin, Pan Xing. Remaining Useful Life Prediction with Similarity Fusion of Multi-Parameter and Multi-Sample Based on the Vibration Signals of Diesel Generator Gearbox. ENTROPY, 2019, 21(9). (SCI/Q2) You Meng, Xiao Yiyong, Zhang Siyue, Yang Pei, Zhou Shenghan*. Optimal mathematical programming for the warehouse location problem with Euclidean distance linearization. COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 136: 70-79. (SCI/Q1) Li Yao, Cheng Yang, Hu Qing, Zhou Shenghan, Ma Lei, Lim Ming K. The influence of additive manufacturing on the configuration of make-to-order spare parts supply chain under heterogeneous demand. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57(11): 3622-3641. (SCI/Q1) You Meng, Xiao Yiyong, Zhang Siyue, Zhou Shenghan*, Yang Pei, Pan Xing. Modeling the Capacitated Multi-Level Lot-Sizing Problem under Time-Varying Environments and a Fix-and-Optimize Solution Approach. ENTROPY, 2019, 21(4). (SCI/Q2) Chang Wenbing, Liu Yinglai, Xiao Yiyong, Xu Xingxing, Zhou Shenghan*, Lu Xuefeng, Cheng Yang. Probability Analysis of Hypertension-Related Symptoms Based on XGBoost and Clustering Algorithm. APPLIED SCIENCES-BASEL, 2019, 9(6). (SCI/Q2) Zhou Shenghan, Zhou Yuliang, Xu Zhenzhong, Chang Wenbing, Cheng Yang. The landing safety prediction model by integrating pattern recognition and Markov chain with flight data. NEURAL COMPUTING & APPLICATIONS, 2019, 31(,SI): 147-159. (SCI/Q1) Xiao Yiyong, Zuo Xiaorong, Kaku Ikou, Zhou Shenghan*, Pan Xing. Development of energy consumption optimization model for the electric vehicle routing problem with time windows. JOURNAL OF CLEANER PRODUCTION, 2019, 225: 647-663. (SCI/Q1) Chang, Wenbing, Yuan, Xinglong, Wu, Yalong, Zhou Shenghan?, Lei Jingsong, Xiao Yiyong*. Decision-Making Method based on Mixed Integer Linear Programming and Rough Set: A Case Study of Diesel Engine Quality and Assembly Clearance Data. SUSTAINABILITY, 2019, 11(3). (SCI/Q2/Co-first author) Liu Lidong, Wei Fajie, Zhou Shenghan*, Major Project Risk Assessment Method Based on BP Neural Network. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2019, 12(4-5): 1053-1064. (SCI/Q2) Chang Wenbing, Xu Zhenzhong, You Meng, Zhou Shenghan* Xiao Yiyong, Cheng Yang. A Bayesian Failure Prediction Network Based on Text Sequence Mining and Clustering. ENTROPY, 2018, 20(12). (SCI/Q2) Yuan Xinglong, Chang Wenbing, Zhou Shenghan* and Cheng Yang, Sequential Pattern Mining Algorithm Based on Text Data: Taking the Fault Text Records as an Example, SUSTAINABILITY, 2018, 10(11). (SCI/Q2) Yiyong Xiao, Meng You, Xiaorong Zuo, Shenghan Zhou* and Xing Pan, The Uncapacitatied Dynamic Single-Level Lot-Sizing Problem under a Time-Varying Environment and an Exact Solution Approach, SUSTAINABILITY, 2018, 10(11). (SCI/Q2) Shenghan Zhou, Yuliang Zhou, Xiaorong Zuo, Yiyong Xiao*, Yang Cheng, Modeling and solving the constrained multi-items lot-sizing problem with time-varying setup cost, CHAOS SOLITONS & FRACTALS, 2018, 116: 202-207. (SCI/Q1) Xing Pan, Lunhu Hu, Ziling Xin, Shenghan Zhou*, Yanmei Lin and Yong Wu, Risk Scenario Generation Based on Importance Measure Analysis, Sustainability 2018, 10(9). (SCI/Q2) Shenghan Zhou, Yuliang Zhou, Silin Qian, Wenbing Chang, Liping Wang, Dongsheng Fan, Amyotrophic lateral sclerosis in Beijing: Epidemiologic features and prognosis from 2010 to 2015, Brain and Behavior, Volume 8, Issue 11, November 2018: e01131(SCI) Shenghan Zhou, Silin Qian, Wenbing Chang* , Yiyong Xiao and Yang Cheng, A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier, Sensors 2018, 18(6): 1934 (SCI/Q1) Chang Wenbing, Xu Zhenzhong, Zhou Shenghan*, Cao Wen, Research on detection methods based on Doc2vec abnormal comments, Future Generation Computer Systems-The International Journal of Escience, Vol 86, 656-662 (SCI/Q1) Shenghan Zhou, Silin Qian,Xiaoduo Qiao*,Wenbing Chang, WenCao, The UAV Landing Quality Evaluation Research Based on Combined Weight and VIKOR Algorithm, Wireless Personal Communications, 2018, 102(2): 2047-2062. (SCI) Shenghan Zhou, Silin Qian, Xiaohan Li, Liping Zheng,Wenbing Chang, Liping Wang, Using the Capture-Recapture Method to Estimate the Incidence of Amyotrophic Lateral Sclerosis in Beijing, China, Neuroepidemiology 2018;50:29–34 (SCI/Q1) Yue Xie, Shenghan Zhou, Yiyong Xiao?, Sadan Kulturel-Konak, Abdullah Konak. A β-accurate linearization method of Euclidean distance for the facility layout problem with heterogeneous distance metrics, European Journal of Operational Research, 265 (2018) 26–38 (SCI/Q1) Quanbao Li, Fajie Wei, Shenghan Zhou*, Early warning systems for multi-variety and small batch manufacturing based on active learning, Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2945-2952, 2017 (SCI) Li Chen, Wei, Fajie, Wang Cheng, Zhou Shenghan*, Fault diagnosis and prediction of complex system based on Hidden Markov model, Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2937-2944, 2017(SCI) Li, Quanbao; Wei, Fajie; Zhou, Shenghan*, Local kernel nonparametric discriminant analysis for adaptive extraction of complex structures, OPEN PHYSICS, Vol 15 No 1, 2017, pp: 270-279((SCI) Shenghan Zhou, Lei Li, Min Yang, Wenbing Chang*, Research on the Performance Evaluation of Experiment Platforms with 2-tuple Linguistic Information, Journal of Intelligent & Fuzzy Systems, vol. 32, no. 1, pp. 543-549, 2017 (SCIE) Shenghan Zhou, Chen Hu, Xiaoduo Qiao, Wenbing Chang*, A forecasting method for Chinese civil planes attendance rate based on vague sets, Chaos, Solitons & Fractals , Vol 89, 2016, 518-526 (SCI/Q1) Shenghan ZHOU , Wei LIU, Wenbing CHANG,An improved TOPSIS with weighted hesitant vague information,Chaos, Solitons & Fractals, Vol 89, 2016, 47-53 (SCI/Q1) Zhou Shenghan, Hu Chen, Xie Yue, Chang Wenbing*,Research on supply chain risk assessment with intuitionistic fuzzy information, Journal of Intelligent & Fuzzy Systems, Volume 30, Number 5, 2016,3367-3372 (SCI) Guangyao Gu, Fajie Wei, Shenghan Zhou*, Risk Assessment method for Mass Unexpected incident in city with uncertain linguistic information, Journal of Intelligent and Fuzzy Systems , Volume 29,Number 5,2299-2304 (SCI) Chen LI, Fajie WEI, Shenghan ZHOU*, Prediction Method based on Optimization Theory and its Application,Discrete And Continuous Dynamical Systems Series-S, Volume 8,Number 6,December 2015,1213-1221 (SCI/Q2) Zhihui Zhang, Fajie Wei, Zhou Shenghan*. Approaches to comprehensive evaluation with 2-tuple linguistic information, Journal of Intelligent and Fuzzy Systems, Volume 28, Number 1, 2015, 1064-1246(SCI) Zhou Shenghan and Chang Wenbing. Approach to multiple attribute decision making based on the Hamacher operation with fuzzy number intuitionistic fuzzy information and their application, Journal of Intelligent and Fuzzy Systems,Volume 27, Number 3, 2014,1087-1094 (SCI) 张志辉, 周晟瀚. 高技术制造业对高等教育的影响研究, 化工高等教育, 2017.2: 11-15+62 潘星,康锐,周晟瀚,王立梅.工科本科生科技文明类通识教育研究——以北京航空航天大学《失败的逻辑》课题为例.高等工程教育研究.2019,4 :79-83+112 潘星,周晟瀚,李大庆,梁帮龙.基于企业开放数据的校企结合模式创新研究——北京航空航天大学校企合作科研训练实例.中国高校科技.2020

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