管晓宏

管晓宏人物经历

1955年11月，管晓宏出生于四川省泸州市。 念完小学四年级后，因学校停课，加上父母同时下放农村，管晓宏到乡下读了小学附设的初中班。

1970年，不满十五岁的管晓宏参加了陕西华县（现渭南市华州区）柳枝公社的民工队，到冶金部第十冶金建设公司参加三线建设，先后当过民工、乐队乐手、木工、钳工、车工。他在建设工地上挖过管道沟，锯过大木方，支过混凝土模板，开过塔吊，安装过球磨机。在当工人近8年时间里，他用借来的教科书，自学完了初中、高中的全部数理化课程，自修了微积分、理论力学、电工学等大学课程。

1978年，被清华大学自动化专业录取。

1982年，获清华大学工学学士。

1985年，获清华大学工学硕士学位。

1993年，获美国康涅狄格大学博士学位。

1997年，获得国家杰出青年基金资助。

1999年至2000年，访问哈佛大学。

1993年至1995年，任美国太平洋煤气电力公司（Pacific Gas and Electric Company）高级顾问工程师。

1995年起，先后任西安交通大学教授、系统工程研究所所长、电子信息工程学院院长。

1999年至2009年，任西安交通大学制造系统国家重点实验室主任。

2001年起，先后任清华大学讲席教授组成员、双聘教授。

2003年至2008年，任清华大学自动化系主任。

2001年至2015年，任西安交通大学自动化系智能与网络化系统研究中心主任。

2022年9月19日，受聘为河南省黄淮实验室学术委员会主任。

管晓宏主要成就

科研综述

管晓宏发展了离散与混合生产制造系统优化理论；提出了供电资源优化竞标策略和购电优化分配的新方法和多Nash平衡点的“机会性共谋”竞标博弈说；领导多学科研究梯队，将系统科学方法与网络技术相结合，研究开发集成化网络安全防卫系统。

项目承担

截至2020年4月，管晓宏作为主持人或主要研究者先后承担了以下课题：国家杰出青年基金，国家自然科学基金重点项目、面上项目，国家863计划，国家科技支撑计划，教育部创新团队、重点科研项目、“985计划”、“211计划”，宝钢集团公司，山东鲁能集团公司，美国联合技术公司研究院（UTRC）。

授权专利

基于拉氏松弛的生产系统序贯调整工艺方法，ZL 02 1 14410.9（中国专利局）

异常文件访问自适应检测方法，ZL200410026264.0（中国专利局）

Windows环境下的主机入侵检测技术，ZL200510043053.2（中国专利局）

Linux操作系统下基于调用栈图和滑动窗口异常度的入侵检测方法, ZL 200510042882.9（中国专利局）

一种计算机系统快速还原的方法，ZL200610165587.7（中国专利局）

基于收发平衡的TCP网络流量回放测试方法，ZL200810018385.9（中国专利局）

基于传输层特征的P2P网络流量识别方法，ZL200810018164.1（中国专利局）

科研获奖

截至2020年4月，管晓宏先后获得国家自然科学二等奖、国家科技进步二等奖等奖励。

年度

项目

级别

获奖人员

排名

2018

网络化系统安全优化理论与方法及在能源电力等系统的应用

国家自然科学二等奖

管晓宏、赵千川、翟桥柱、贾庆山、徐寅峰

第1

2006

天地网远程教育关键技术、系列产品及其应用

国家科技进步二等奖

郑庆华、申瑞民、刘均、韩鹏、管晓宏、于德弘、胡云华、杨帆、吴茜媛、彭挺

第5

2005

离散与混合生产制造系统的优化理论与方法研究

国家自然科学二等奖

管晓宏、陈浩勋、翟桥柱、徐寅峰、高　峰

第1

2004

教育部自然科学一等奖

第1

2015

IEEE自动化科学与工程国际会议最佳论文奖

2008

IEEE通信学会系统集成与建模最佳论文奖

2004

何潘清漪离散事件动态系统最佳论文奖

参考资料：

发表论文

截至2020年4月，管晓宏发表了180多篇论著，SCI他引500多次。

[1]X. Guan, P. B. Luh, E. Ni and R. Li. Hydrothermal Power Systems[J]. Encyclopedia of Elecical and Eleconics Engineering, 1999, (419-627).

[2]X. Guan, E. Ni, P. B. Luh and Y. C. Ho, Optimization Based Bidding Sategies and Gaming Analysis for Deregulated Elecic Power Market, Next Generation of Unit Commitment Models[J]. Series on Operations Research/Management Science, 2001.

[3]Yu-Chi Ho, Xiaohong Guan, Xi-Ren Cao, Weibo Gong, Peter B. Luh, Houmin Yan. Some Useful Information for Scholars New to the World of Science[J]. Tsinghua University Press / Springer-Verlag, 2004.

[4]X. Guan, Y. Zhou, Q. Zheng, Q. Sun and J. Zhao. Dynamic Model and Analysis for Information Propagation in Online Social Networks[J]. Social-Technical Networks: Science and Engineering Design, CRC Press/Taylor and Francis Group, 2011.

[5]X. Guan, P. B. Luh, H. Yan and J. A. Amalfi. An optimization Based Method for Unit Commitment[J]. International Journal of Elecical Power & Energy Systems, 1992,14(9-17).

[6]Xiaohong, Guan, Peter, et al. A new parallel algorithm for optimal control problems of interconnected systems[J]. International Journal of Control, 2010, 56(6).

[7]H. Yan, P. B. Luh, X. Guan, and P. Rogan. Scheduling Hydrothermal Power Systems[J]. IEEE ansactions on Power systems, 1993, 8(1358-1365).

[8]X. Guan, P. B. Luh, H. Yan and P. Rogan. Optimization-Based Scheduling of Hydrothermal Power Systems with Pumped-Storage Units[J]. IEEE ansactions on Power systems,1994, 9(1023-1031).

[9]L. Zhang, P. B. Luh, X. Guan, and G. Merchel,"Optimization-Based Inter-Utility Power Purchases," IEEE ansactions on Power systems[J]. 1994, 9(891-897) .

[10]X. Guan, P. B. Luh and L. Zhang. Nonlinear Approximation Method in Lagrangian Relaxation-Based Algorithms for Hydrothermal Scheduling[J]. IEEE ansactions on Power Systems, 1995, 10(772-778).

[11]X. Guan, E. Liu and A. D. Papalexopoulos. Applications of a Fuzzy Set Method in an Optimal Power Flow[J]. Elecic Power Systems Research, 1995,34 (11-18).

[12]E. Liu and X. Guan. Fuzzy Consaint Enforcement and Conol Curtailment in an Optimal Power Flow[J]. IEEE ansactions on Power Systems, 1996,11 (639-645).

[13]X. Guan, P. B. Luh and B. Prasannan. Power System Scheduling with Fuzzy Reserve Requirements[J]. IEEE ansactions on Power Systems, 1996,11 (864-869).

[14]X. Guan, E. Ni, R. Li and P. B. Luh. An Optimization-Based Scheduling Algorithm for Scheduling Hydrothermal Power Systems with Cascaded Reservoirs and Discrete Hydro Consaints[J]. IEEE ansactions on Power Systems, 1997, 12(1775-1780).

[15]C. Tseng, X. Guan and A. Svoboda. Multi-Area Unit Commitment for Large-Scale Power Systems[J]. IEE Proceedings, Part C-Generation, ansmission and Disibution, 1998, 145(415-421).

[16]X. Guan, A. Svoboda, and C. Li. Scheduling Hydro Power Systems with Resicted Operating Zones and Discharge Ramping Consaints[J]. IEEE ansactions on Power Systems, 1999, 14(126-131).

[17]C. Li, A. Svoboda, X. Guan and H. Singh. Revenue Adequate Bidding Sategies in Competitive Elecicity Markets[J]. IEEE ansactions on Power Systems, 1999, 14(492. 497).

[18]E. Ni, X. Guan and R. Li. Scheduling Hydrothermal Power Systems with Cascaded and Head-dependent Reservoirs[J]. IEEE ansactions on Power Systems, 1999, 14(1127-1132).

[19]X. Guan and P. Luh. Integrated Resource Scheduling and Bidding in Deregulated Elecic Power Market: New Challenges[J]. Journal of Discrete Event Dynamic Systems, 1999, 14(331-350).

[20]X. Guan, F. Gao and Alva Svoboda. Energy Delivery Capacity and Generation Scheduling in the Deregulated Elecic Power Market[J]. IEEE ansactions on Power Systems, 2000, 15(1275-1280).

[21]X. Guan, Y. C. Ho and D. Pepyne. Gaming and Price Spikes in Elecical Power Market[J]. IEEE ansactions on Power Systems,2001, (402-408).

[22]X. Guan, Y. C. Ho and F. Lai “An Ordinal Optimization Based Bidding Sategy for Elecic Power Suppliers in the Daily Elecic Energy Market[J]. IEEE ansactions on Power Systems, 2001, 16(788-797).

[23]X. Guan, Q. Zhai and F. Lai. A New Lagrangian Relaxation Based Algorithm for Resource Scheduling with Homogenous Subproblems[J]. Journal of Optimization: Theory and Applications,2002, 113(65-82).

[24]W. Fan, X. Guan, Q. Zhai. A New Method for Unit Commitment with Ramping Consaints[J]. Elecic Power Systems Research, 2002, 63(215-224).

[25]Q. Zhai, X. Guan and J. Cui. Unit Commitment with Identical Units: Successive Subproblem Solving Method Based on Lagrangian Relaxation, IEEE ansactions on Power Systems, 2002, 17(1250-1257).

[26]Y. Liu and X. Guan. Purchase Allocation and Demand Bidding in Elecic Power Markets[J]. IEEE ansactions on Power Systems, 2003, 18(106-112).

[27]Z. Cai, X. Guan, P. Shao, Q. Peng, G. Sun. A Rough Set Theory Based Method for Anomaly Inusion Detection in Computer Networks[J]. Expert Systems, 2003, 18(251-259).

[28]L. Feng, X. Guan, S. Guo, Y. Gao. Application of Plan Recognition Method for Predicting the Intentions of Computer Network Inuders[J]. Computer and Security, 2004, 23(241-252).

[29]X. Chen, Q. Zheng, X. Guan, C. Lin and J. Sun. Multiple Behavior Information Fusion Based Quantitative Threat Evaluation[J]. Computer and Security, 2005, 24(218-231).

[30]C. Song, X. Guan, Q. Zhao, Y. C. Ho. Machine Learning Approach for Determining Feasible Schedules of aRemanufacturingSystem[J]. IEEE ansactions on Automation Science and Engineering, 2005, 2(262-275).

[31]X. Guan, S. Guo and Q. Zhai. The Conditions for Obtaining Feasible Solutions to Security Consained Unit Commitment Problems[J]. IEEE ansactions on Power Systems, 2005, (29).

[32]X. Guan, C. Song, Y. C. Ho, Q. Zhao. Consained Ordinal Optimization— A Feasibility Model Based Approach[J]. Discrete Event Dynamic Systems, 2006, 16(279-299).

[33]W. Wang, X. Guan, X. Zhang, L. Yang. Profiling program behaviors for anomaly inusion detection based on the ansition and frequency property of system call data[J]. Computer and Security, 2005, 25(539-550).

[34]J. Liang and X. Guan. A Virtual Disk Environment for Providing File System Recovery[J]. Computer and Security, 2006, 25(589-599).

[35]X. Chen, Q. Zhao and X. Guan. Energy Efficient Sensing Coverage and Communication for Wireless Sensor Networks[J]. Journal of Systems Science and Complexity, 2007, 20(225-234).

[36]X. Guan, S. Guo, Q. Zhai, W. Gong and C. Qiao. A New Method for Solving Routing and Wavelength Assignment Problems in Optical Networks[J]. IEEE/OSA Journal of Lightwave Technology, 2007, 25(1895-1909).

[37]W. Wang, X. Guan, X. Zhang. Processing of Massive Audit Data Seams for Real-Time Anomaly Inusion Detection[J]. Computer Communications, 2008, 31(257-72.)

[38]X. Guan, J. Wu, F. Gao and G. Sun. Optimization Based Generation Asset Allocation for Forward and Spot Markets[J]. IEEE ansactions on Power Systems, 2008, 23(1796-1808).

[39]X. Guan, W. Wang and X. Zhang. Fast Inusion Detection Based on a Non-negative Maix Factorization Model[J]. Journal of Network and Computer Applications, 2009, 32(31-44).

[40]T. Liu, X. Guan, Q. Zheng and Y. Qu. A New Worm Exploiting IPv6 and IPv4-IPv6 Dual-stack Networks: Experiment, Modeling, Simulation and Defense[J]. IEEE Network, 2009, 23(22-29.)

[41]Q. Zhai, X. Guan, J. Yang. Fast Unit Commitment Based on Optimal Linear Approximation to Nonlinear Fuel Cost: Error Analysis and Applications[J]. Elecic Power Systems Research, 2009, 79(1604-1613).

[42]X. Guan, Q. Zhai, Y. Feng and F. Gao. Optimization Based Scheduling for a Class of Production Systems with Integral Consaints[J]. Science in China, E-Technological Sciences, 2009, 52(3533-3544).

[43]W. Wang, X. Guan, B. Wang and Y. Wang. A Novel Mobility Model Based on Semi-random Circular Movement in Mobile Ad Hoc Networks[J]. Information Sciences, 2010, 270(399–413).

[44]Y. Zhao, C. Yan, Q. Zhao, N. Huang, J. Li, X. Guan. Efficient Simulation Method for General Assembly Systems with Material handling Based on Aggregated Event-Scheduling, IEEE ansactions on Automation Science and Engineering, 2010, 70(762-775).

[45]Y. Zhao, X. Chen, Q. Jia, X. Guan, S. Zhang, and Y. Jiang. Long-term Scheduling for Cascaded Hydro Energy Systems with Annual Water Consumption and Release Consaints[J]. IEEE ansactions on Automation Science and Engineering, 2010, 7(969-976).

[46]Q. Zhai, X. Guan, J. Cheng, H. Wu. Fast Identification of Inactive Security Consaints in SCUC Problems[J]. IEEE ansactions on Power Systems, 2010, 25(1946-1954).

[47]Y. Zhou, X. Guan, Q. Zheng, Q. Sun, J. Zhao. Group Dynamics in Discussing Incidental Topics over Online Social Networks[J]. IEEE Network, 2010, 24(42-27).

[48]X. Guan, T. Qin, W. Li. P. Wang. Dynamic Feature Analysis and Measurement for Large-Scale Network affic Monitoring[J]. IEEE ansactions on Information Forensics and Security, vol. 5, no. 4, Dec. 2010:905-919.

[49]X. Guan, Z. Xu and Q. Jia. Energy Efficient Buildings Facilitated by Microgrid[J]. IEEE ansactions on Smart Grid, 2010, 1(243-252).

[50]Q. Zhai, X. Guan and F. Gao. Optimization Based Production Scheduling with Hybrid Dynamics and Consaints[J]. IEEE ansactions on Automatic Conol, 2010, 55(2778-2792).

[51]X. Li, Q. Zhao, X. Guan and L. Tong. Optimal Cognitive Access of Markovian Channels under Tight Collision Consaints[J]. IEEE Journal on Selected Areas in Communication, 2011, 29(746-756).

[52]P. Wang, X. Guan, T. Qin and Q. Huang. A Data Seaming Method for Monitoring Host Connection Degrees of High Speed Links[J]. IEEE ansactions on Information Forensics and Security, 2011, 6(1086-1098).

[53]T. Qin, X. Guan, W. Li, P. Wang, Q. Huang. Monitoring Abnormal Network affic Based on Blind Source Separation Approach[J]. Journal of Network and Computer Applications, 2011, 34(1732-1742).

[54]J. Li, Q. Jia, X. Guan, X. Chen. acking a Moving Object via a Sensor Network with a Partial Information Broadcasting Scheme[J]. Information Sciences, 2011, 181(4733–4753).

[55]Y. Han, X. Guan, L. Shi. Optimization Based Method for Supply Location Selection and Routing in Large Scale Emergency Material Delivery[J]. IEEE ansactions on Automation Science and Engineering, 2011, 8(683-693).

[56]W. Wu, J. Wei, X. Guan and L. Shi. A Hybrid Nested Partitions Algorithm for Scheduling Flexible Resource in Flow Shop Problem[J]. to appear in International Journal of Production Research.

[57]H. Wu, X. Guan, Q. Zhai and H. Ye. A Systematic Method for Consucting Feasible Solution to SCUC Problem with Analytical Feasibility Conditions[J]. to appear in IEEE ansactions on Power Systems.

[58]B. Zhang, X. Guan, M. J. Khan, Z. Zhang, Y. Zhou. Time-varying Dynamic Propagation Model of Hot Topics on BBSes and Blogs[J]. to appear in Information Sciences.

[59]Q. Zheng, T. Liu, X. Guan, Y. Qu, N. Wang. A New Worm Exploiting IPv4-IPv6 Dual-stack Networks[J]. Proceeding of the 5th ACM Workshop on Recurring Malcode (WORM 2007) in association with the 14th ACM Conference on Computer and Communications Security (CCS), 2007, 11.

[60]T. Qin, X. Guan, W. Li and P. Wang. Dynamic Features Measurement and Analysis for Large-Scale Networks[J]. Proceedings of IEEE International Workshop on Computer-Aided Modeling, Analysis and Design of Communication Links and Networks (with International Communication Conference), 2008, 5.

讲座报告

截至2020年4月，管晓宏应邀做国际会议大会报告和邀请报告，并在哈佛大学、麻省理工学院、美国电力科学研究院（EPRI）等学术机构做学术报告。

特邀报告： the 4th Chinese-Swedish Conference on Control, Hong Kong, China,? Jan 10-11, 2008: Optimization Based Method for Solving Routing and Wavelength

大会报告：（IFIP International Conference on Research and Practical Issues of Enterprise Information Systems, Beijing, China, 2007）：Optimization Based Production Scheduling for Large Enterprises?

特邀报告：（the International Conference on Frontier Problems in Systems and Control, Beijing, China, 2007）: Energy-Efficient Sensing Coverage and Communication for Wireless Sensor Networks

特邀报告：（European Science Foundation Exploratory Workshop on “Mathematical Models for Electricity Markets[J]. Ciudad Real, Spain, 2006）：Optimization Based Method for Generation Portfolio Management in Futures and Spot market

大会报告：（the North America Power Symposium, MIT, MA, USA, November, 1996）：Optimization-Based Scheduling of Cascaded Hydro Power Systems with Discrete Constraints

教育方法

管晓宏在教学中，不仅因材施教，还为学生创造各种机会。他提出设立学院优秀博士论文培养基金和“信源通”研究生优秀论文奖；重视学生思想工作，经常为入党积极分子讲党课；以身作则，教导学生要做一个心怀感恩的人。他提出并推动的本科生“信息新蕾”计划，选拔了一批优秀本科生进入科研实验室，并因材施教，为每名学生制定适当的培养计划，锻炼他们提出和解决科学和技术问题的能力，使他们掌握科学的研究方法。

教育理念

“求学路上的决心、毅力、努力和责任心是任何成功的必要条件。”管晓宏不仅如是说，更切身践行着这一理念。在培养研究生过程中，他耐心地与学生进行交流，鼓励其表达观点，以启发式教育引导并培养学生的信心和独立思考能力。针对理工科教育的薄弱环节，他提出、推动并担任“表达与交流课”负责人，经常为研究生做“英文学术论文写作与学术报告”的讲座；十余年来，坚持用全英文讲授研究生学位课《系统优化与调度》。

培养成果

据2021年2月西安交通大学研究生院官网显示，在管晓宏的指导下，其学生翟桥柱在2005年获得国家自然科学二等奖，所作博士学位论文于2008年入选“全国百篇优秀博士论文”；秦涛获2008年IEEE通信学会系统集成与建模最佳论文奖；赵俊州获2014 ACM WWW/SIMPLEX最佳论文奖。

获得年份

荣誉称号

2019

何梁何利基金科学与技术进步奖（电子信息技术奖）

2017

中国科学院院士

2009

康涅狄格大学杰出工程师

2008

IEEE机器人与自动化学会杰出讲座人

2007

IEEE Fellow

1996

美国李氏基金杰出成就奖

参考资料：

管晓宏人物评价

管晓宏是一个对工作有热情、对学生有责任心的人，常年坚持在教书育人的第一线。管老师饮水思源，多年来坚持寻找自己的启蒙老师，以亲身经历实践着感恩教育；因其常怀感恩，故能博施爱于学生。作为一名科研工作者，管晓宏在科研方面具有极高的造诣。他对问题的发掘和思考的深度常常让人惊叹，坚持把思想付诸于实践，并在实践中完善自己的工作。作为一个老师，他总能敏锐地发现学生身上的优点和潜能。（西安交通大学评）

管晓宏数十年瞄准国家重大需求和重点领域的关键技术，爱国奋斗，开拓创新，在中国能源电力系统和网络信息安全领域作出了重要贡献。（中共西安市碑林区委宣传部评）

“始终与国家的发展同向同行”，是管晓宏院士团队始终不变的信仰。自组建以来，管晓宏带领西安交大网络化系统工程团队对准能源电力系统的安全优化、网络信息安全等国际学术前沿和国家急需的关键领域，不断攀登科研高峰，解决了多个国际公认难题，努力践行着新时代赋予知识分子的使命和担当。（《西安日报》评）

30平米起家、20多年潜心科研，管晓宏院士主持的实验室，在电力等生产制造系统优化调度、网络信息安全等领域都做出了重要贡献，得到了中国国内外学术界的高度认可。（央视网评）