周永華(北京交通大學教授/博導)

周永華(北京交通大學教授/博導)

本詞條是多義詞，共8個義項
更多義項 ▼ 收起列表 ▲

周永華，男，博士，畢業於清華大學，北京交通大學教授，博士生導師。

基本介紹

  • 中文名：周永華 
  • 民族：漢族
  • 出生地：湖北 
  • 畢業院校：清華大學
  • 研究方向：人工智慧、雲計算、交通系統感知與大數據、最佳化控制理論與智慧型交通系統 
個人經歷,研究方向,招生專業,教學工作,科研項目,獲獎記錄,專著譯著,代表論文,研究貢獻,

個人經歷

周永華，男，2003年畢業於清華大學自動化系，獲得工學博士學位。2006年於清華大學交通研究所博士後出站，現在北京交通大學電子信息工程學院工作，致力於人工智慧、雲計算、交通系統感知與大數據、最佳化控制理論與智慧型交通系統等方面的研究。2011年3月-2012年3月：耶魯大學系統科學中心訪問學者。

研究方向

  • 人工智慧
  • 雲計算
  • 交通系統感知與大數據
  • 智慧型交通系統
  • 控制理論與控制工程

招生專業

  • 交通信息工程及控制碩士
  • 交通信息工程及控制博士
  • 控制科學與工程碩士
  • 控制工程碩士

教學工作

主講微機原理與接口技術、單片機原理與套用、微控制器結構與套用等課程。
多次獲得北京交通大學優秀教學成果一等獎、二等獎。

科研項目

  1. 國家自然科學基金"面上"，高速鐵路網路列車運行基於模型預測和證據推理的安全預測與衝突防範，2017-01-01-2020-12-31，主持
  2. 基本科研業務費：高速列車運行基於雲計算的大數據處理及套用，2017-01-01-2019-12-31，參加
  3. 科技部“科技支撐”: 高速磁浮半實物仿真多分區運行控制系統設備研製-滿足5分區半實物仿真系統的分區控制系統軟體研究, 2013-2016，參加
  4. 國家自然科學基金“面上”：數據驅動的交通誘導實時魯棒預測控制研究，2011-01-01--2013-12-31，主持

獲獎記錄

2016年：北京交通大學優秀教學成果二等獎，獲獎項目：軌道交通信號與控制國家卓越工程師培養崗位實習的教學組織與實施
2016年：北京交通大學優秀教學成果二等獎，獲獎項目：軌道交通信號與控制國家卓越工程師培養序列教材（教材）
2016年：北京交通大學優秀教學成果二等獎，獲獎項目：充分利用校外實踐資源培養卓越工程師的研究
2016年：北京交通大學優秀教學成果二等獎，獲獎項目：面向卓越工程師計畫和專業認證的信號專業實習體系建設
2012年：北京交通大學教學成果一等獎，獲獎項目：大力開展學科競賽與創新實驗，全面最佳化《微機原理與接口技術》實踐教學
2012年：北京交通大學教學成果二等獎，獲獎項目：教研結合培養創新人才 《計算機控制系統》教學實踐
2008年：北京交通大學《微機原理與接口技術》教學成果二等獎
2003年：中國電子學會電子信息科學技術獎一等獎，獲獎項目：基於中國國情的集成系統體系結構、實施方法論

專著譯著

  1. 周永華，付文秀. CTC系統原理與套用. 北京：中國鐵道出版社，2017.
  2. 魏學業，周永華，祝天龍. 感測器套用技術及其範例. 北京：清華大學出版社，2015.

代表論文

  1. Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita. Cooperative multi-agent actor-critic control of traffic network flow based on edge computing. Future Generation Computer Systems, vol. 123, pp. 128-141, May 2021.
  2. Mengying Shang, Yonghua Zhou, Hamido Fujita. Deep reinforcement learning with reference system to handle constraints for energy-efficient train control. Information Sciences, 2021.
  3. Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita. Spark cloud-based parallel computing for traffic network flow predictive control using non-analytical predictive model. IEEE Transactions on Intelligent Transportation Systems, 2021, https://doi.org/10.1109/TITS.2021.3071862.
  4. Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita. Traffic network flow prediction using parallel training for deep convolutional neural networks on Spark cloud. IEEE Transactions on Industrial Informatics, vol. 16, no. 12, pp. 7369-7380, December 2020.
  5. Zhenlin Zhang, Yonghua Zhou, Xin Tao. Model predictive control of a magnetic levitation system using two-level state feedback. Measurement & Control, vol. 53, no. 5-6, pp. 962-970, May-June 2020.
  6. Yonghua Zhou, Xin Tao, Zhenyu Yu, Hamido Fujita. Train-movement situation recognition for safety justification using moving-horizon TBM-based multisensor data fusion. Knowledge-Based Systems, 2019, vol. 177, pp. 117-126.
  7. Lu Zhao, Yonghua Zhou, Huapu Lu, Hamido Fujita. Parallel computing method of deep belief networks and its application to traffic flow prediction. Knowledge-Based Systems, 2019, vol. 163, pp. 972-987.
  8. Yonghua Zhou, Xin Tao. Robust safety monitoring and synergistic operation planning between time- and energy-efficient movements of high speed trains based on MPC. IEEE Access, 2018, vol. 6, pp. 17377-17390.
  9. Jingjie Ning, Yonghua Zhou, Fengchu Long. A synergistic energy-efficient planning approach for urban rail transit operations. Energy, 2018, vol. 151, pp. 854-863.
  10. Yongnan Zhang, Yonghua Zhou. Distributed coordination control of traffic network flow using adaptive genetic algorithm based on cloud computing. Journal of Network and Computer Applications, 2018, 119, pp. 110-120.
  11. Zhihui Wang, Yonghua Zhou, Deng Liu. Models and algorithms of conflict detection and scheduling optimization for high-speed train operations based on MPC. Journal of Control Science and Engineering, 2018, Article number: 3473175.
  12. Yonghua Zhou, Xin Tao, Lei Luan, Jingjie Ning. Revisiting the 7/23 train accident using computer reconstruction simulation for causation and prevention analysis. Mathematics and Computers in Simulation, 2018, vol. 148, pp. 1-15.
  13. Yonghua Zhou, Xin Tao, Lei Luan, Zhihui Wang. Safety justification of train movement dynamic processes using evidence theory and reference models. Knowledge-Based Systems, 2018, vol. 139, 78-88.
  14. Yonghua Zhou and Zhenlin Zhang. High-speed train control based on multiple-model adaptive control with second-level adaptation. Vehicle System Dynamics, vol. 52, no. 5, pp. 637-652, May 2014.
  15. Yonghua Zhou, Zhenlin Zhang and Deng Liu. Analysis of train movement dynamics under various temporal–spatial constraints in fixed-block railway network using extended cellular automaton model. Modern Physics Letters B, vol. 28, no. 8, pp. 1450060-1~1450060-11, March 2014.
  16. Yonghua Zhou and Chao Mi. Modeling and simulation of train movements under scheduling and control for a fixed-block railway network using cellular automata. Simulation - Transactions of the Society for Modeling and Simulation International, vol. 89, no. 6, pp. 771-783, June 2013.
  17. Yonghua Zhou, Xun Yang and Chao Mi. Dynamic route guidance based on model predictive control. CMES - Computer Modeling in Engineering & Sciences, vol. 92, no. 5, pp. 477-491, June 2013.
  18. Yonghua Zhou. Fuzzy indirect adaptive control using SVM-based multiple models for a class of nonlinear systems. Neural Computing & Applications, vol. 22, no. 3-4, pp. 825-833, March 2013.
  19. Yonghua Zhou, Xun Yang and Chao Mi. Model Predictive Control for High-speed Train with Automatic Trajectory Configuration and Tractive Force Optimization. CMES - Computer Modeling in Engineering & Sciences, vol. 90, no. 6, pp. 415-437, February 2013.
  20. Yonghua Zhou, Xun Yang and Chao Mi. State Estimation of Unequipped Vehicles Utilizing Microscopic Traffic Model and Principle of Particle Filter. CMES - Computer Modeling in Engineering & Sciences, vol. 89, no. 6, pp. 497-512, December 2012.
  21. Yonghua Zhou, Chao Mi and Xun Yang. The Cellular Automaton Model of Microscopic Traffic Simulation Incorporating Feedback Control of Various Kinds of Drivers. CMES - Computer Modeling in Engineering & Sciences, vol. 86, no. 6, pp. 533-549, August 2012.
  22. Yonghua Zhou and Chao Mi. Modeling train movement for moving-block railway network using cellular automata. CMES - Computer Modeling in Engineering & Sciences, vol. 83, no. 1, pp. 1-21, January 2012.
  23. Yonghua Zhou and Yuliu Chen. The Analytic Supporting Tools for Business Reengineering With System Integration Design. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, vol. 40, no. 2, pp. 285-300, March 2010.
  24. Yonghua Zhou. Study on the simulation of traffic navigation predictive control. Control and Decision, vol. 24, no. 12, pp. 1869-1872, December 2009.
  25. Yonghua Zhou and Yuliu Chen. Project-oriented resource assignment: from business process modelling to business process instantiation with operational performance consideration. International Journal of Computer Integrated Manufacturing, vol. 21, no. 1, pp. 97-110, January 2008.
  26. Yonghua Zhou. Mechanism and approach of traffic flow predictive control. China Journal of Highway and Transport, vol. 20, no. 1, pp. 107-111, January 2007.

研究貢獻

（1）邊緣計算與分散式深度強化學習；（2）深度強化學習與列車運行節能控制；（3）分散式並行深度學習；（4）基於證據理論的高速列車運行安全校驗與預測；（5）軌道交通流並行仿真；（6）交通網路流並行預測、誘導及控制。

相關詞條

熱門詞條

聯絡我們