曾國強(暨南大學教授)

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曾國強,現任暨南大學教授/博導

基本介紹

  • 中文名:曾國強
  • 國籍中國
  • 民族:漢族
  • 出生日期:1983年2月
  • 畢業院校浙江大學
  • 學位/學歷:博士/博士研究生
  • 職業教師
  • 專業方向:工業網際網路和智慧型電網信息安全,深度學習,新能源微電網與電力電子技術,先進控制與最佳化技術等
  • 主要成就:第一完成人獲教育部科技進步獎二等獎和中國專利獎
    主要完成人獲教育部科技進步一等獎等
人物經歷,科研成果,代表論文,

人物經歷

2006 年 9 月~2011 年 6 月 浙江大學,控制科學與工程專業,博士研究生(2006.9-2007.7 讀碩,2007.9提前攻博),導師:毛維傑教授和呂勇哉教授(國際自動控制聯合會 IFAC 前主席和 IEEE Fellow)
從事教學科研工作近10年,擔任班主任8年,曾獲校優秀教師等,曾擔任中國機械工業聯合會機械工業用戶側光伏微網工程研究中心和溫州市新能源微電網工程研究中心副主任兼總工程師,現擔任電氣數位化設計國家地方聯合工程實驗室學術委員會委員等。

科研成果

主持國家自然科學基金2項、省部級科研項目2項和企業產學研合作項目3項,作為主要成員參與國家自然科學基金、廣東省重點研發計畫項目、浙江省自然科學基金重點項目、浙江省科技計畫項目和企業產學研合作項目等10多項。在IEEE Transactions on Industrial Informatics 、IEEE Transactions on Vehicular Technology、IEEE Internet of Things Journal、IEEE Transactions on Power Electronics、Information Sciences、Swarm and Evolutionary Computation、Energy Conversion and Management、Renewable Energy、International Journal of Electrical Power & Energy Systems等發表SCI/EI論文60多篇,其中入選ESI高被引論文4篇,單篇論文SCI他引超100次,與國際自動控制聯合會前主席、IEEE Fellow呂勇哉先生等聯合出版英文學術專著1部,作為第一發明人授權獲發明專利14項(其中4項已轉讓給企業進行產業化),作為主要發明人獲授權發明專利14項,作為第一完成人獲得中國專利優秀獎1項和教育部科技進步獎二等獎1項,作為主要完成人獲教育部科技進步一等獎1項(排名第4)、中國專利優秀獎2項(分別排名第4和第6)、中國機械工業科學技術獎特等獎1項、中國電子學會電子信息科學技術獎二等獎2項(分別排名第4和第6),獲8th World Congress on Intelligent Control and Automation最佳論文提名等。
曾入選浙江省151人才計畫和浙江電力科技專家。擔任中國仿真學會智慧型仿真最佳化與調度專委會委員、IEEE PES 數字電網技術委員會(中國)數字電網安全技術分委會常務理事、IEEE會員、中國人工智慧學會、中國計算機學會和中國自動化學會會員、中國電源學會和中國仿真學會高級會員等,受邀擔任國家自然科學基金等項目和IEEE TEC、IEEE TIE、IEEE TII等近30個SCI期刊的評審專家。
代表性科研獎勵
(1)海島/岸基微電網系統與模組化成套設備,教育部,高等學校科學研究優秀成果獎科技進步獎,二等獎,2019.(排名1/13
(2)用於兆瓦級逆變系統的極值最佳化自整定數字PID控制方法,國家知識產權局,中國專利優秀獎,2018. (排名1/8
(3)海岸工程兆瓦級特種變流電源關鍵技術及套用,教育部,高等學校科學研究優秀成果獎科技進步獎,一等獎,2016.(排名4/15

代表論文

  1. Kang-Di Lu, Guo-Qiang Zeng*, Xizhao Luo, Jian Weng, Weiqi Luo, Yongdong Wu, Evolutionary deep belief network for cyber-attack detection in industrial automation and control system. IEEE Transactions on Industrial Informatics, 2021, DOI: 10.1109/TII.2021.3053304. (JCR/Q1)
  2. Kang-Di Lu, Guo-Qiang Zeng*, Xizhao Luo*, Jian Weng, Yue Zhang, Min Li, An adaptive resilient load frequency controller for smart grids with DoS attacks, IEEE Transactions on Vehicular Technology, 2020, 69(5): 4689-4699. (JCR/Q1)
  3. Feixiang Zhao, Guo-Qiang Zeng*, Kang-Di Lu, EnLSTM-WPEO: Short-term traffic flow prediction by ensemble LSTM, NNCT weight integration and population extremal optimization, IEEE Transactions on Vehicular Technology, 2020, 69(1): 101-113. (JCR/Q1,ESI高倍引論文)
  4. Min-Rong Chen, Guo-Qiang Zeng*, Kang-Di Lu*, Jian Weng, A two-layer nonlinear combination method for short-term wind speed prediction based on ELM, ENN and LSTM, IEEE Internet of Things Journal, 2019, 6(4): 6997-7010. (JCR/Q1)
  5. Min-Rong Chen, Guo-Qiang Zeng*, Kang-Di Lu*, A many-objective population extremal optimization algorithm with an adaptive hybrid mutation operation, Information Sciences, 2019, 498: 62-90. (JCR/Q1)
  6. Min-Rong Chen, Bi-Peng Chen, Guo-Qiang Zeng*, Kang-Di Lu, Ping Chu. An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition, Neurocomputing, 2020, 391:260-272. (JCR/Q1, IF2019= 4.438)
  7. Min-Rong Chen*, Jun-Han Chen, Guo-Qiang Zeng*, Kang-Di Lu, Xin-Fa Jiang, An improved artificial bee colony algorithm combined with extremal optimization and Boltzmann selection probability, Swarm and Evolutionary Computation, 2019, 49:158-177. (JCR/Q1)
  8. Min-Rong Chen, Guo-Qiang Zeng*, Kang-Di Lu*, Constrained multi-objective population extremal optimization based economic-emission dispatch incorporating renewable energy resources, Renewable Energy, 2019, 143: 277-294. (JCR/Q1)
  9. Guo-Qiang Zeng*, Xiao-Qing Xie, Min-Rong Chen, Jian Weng*, Adaptive population extremal optimization based PID neural network for multivariable nonlinear control systems, Swarm and Evolutionary Computation, 2019, 44:320-334. (JCR/Q1,ESI高倍引論文)
  10. Min-Rong Chen, Guo-Qiang Zeng*, Xiao-Qing Xie, Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems, Journal of The Franklin Institute, 2018, 355: 8266-8295. (JCR/Q1)
  11. Kang-Di Lu, Wu-Neng Zhou*, Guo-Qiang Zeng*, Yi-Yuan Zheng, Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system, International Journal of Electrical Power & Energy Systems, 2019, 105:249-271. (JCR/Q1, ESI高被引論文)
  12. Guo-Qiang Zeng*, Jie Chen, Li-Min Li, Min-Rong Chen, Lie Wu, Yu-Xing Dai, Chong-Wei Zheng. An improved multi-objective population-based extremal optimization algorithm with polynomial mutation. Information Sciences, 2016, 330: 49-73. (JCR/Q1)
  13. Li-Min Li, Kang-Di Lu, Guo-Qiang Zeng*, Lie Wu, Min-Rong Chen. A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization problems, Neurocomputing, 2016, 174: 577-587. (JCR/Q1)
  14. Guo-Qiang Zeng*, Jie Chen, Yu-Xing Dai, Li-Min Li, Chong-Wei Zheng, Min-Rong Chen. Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization, Neurocomputing, 2015, 160: 173-184. (JCR/Q1,Google 學術搜尋引用166次)
  15. Guo-Qiang Zeng, Jie Chen, Min-Rong Chen, Yu-Xing Dai*, Li-Min Li, Kang-Di Lu, Chong-Wei Zheng. Design of multivariable PID controllers using real-coded population-based extremal optimization, Neurocomputing, 2015, 151:1343-1353. (JCR/Q1)
  16. Min-Rong Chen*, Yi-Yuang Huang, Guo-Qiang Zeng*, Kang-Di Lu, Liu-Qing Yang, An improved bat algorithm hybridized with extremal optimization and Boltzmann selection. Expert Systems with Applications, 2021. (JCR/Q1, Accepted)
  17. Zishun Peng, Jun Wang, Zeng Liu, Yuxing Dai, Guoqiang Zeng, John Shen, Fault-tolerant inverter operation based on Si/SiC hybrid switches, IEEE Journal of Emerging and Selected Topics in Power Electronics, 2020, 8(1): 545-556. (JCR/Q1)
  18. Zishun Peng, Jun Wang*, Zeng Liu, Zongjian Li, Daming Wang, Yuxing Dai*, Guo-Qiang Zeng, Z. John Shen, Adaptive gate delay-time control of Si/SiC hybrid switch for efficiency improvement in inverters, IEEE Transactions on Power Electronics, 2021, 36(3): 3437-3449. (JCR/Q1)
  19. Zishun Peng, Jun Wang*, Zeng Liu, Zongjian Li, Yuxing Dai*, Guo-Qiang Zeng, Z. John Shen, A variable-frequency current-dependent switching strategy to improve tradeoff between efficiency and SiC MOSFET overcurrent stress in Si/SiC hybrid switch based inverters, IEEE Transactions on Power Electronics, 2021, 36(4): 4877-4886. (JCR/Q1)
  20. Jie Chen, Guo-Qiang Zeng, Wu-Neng Zhou, Wei Du, Kang-Di Lu, Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization, Energy Conversion and Management, 2018, 165:681–695. (JCR/Q1, IF2018=7.181, ESI高被引論文)
  21. Kang-Di Lu, Wu-Neng Zhou, Guo-Qiang Zeng, Wei Du, Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method, Journal of the Franklin Institute, 2018, 355(5):2197-2220. (JCR/Q1)

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