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张俊教授

  • 电       话027-68772281
  • 邮       箱jun.zhang.ee@whu.edu.cn
  • 办公地点HG888皇冠手机第十一教学楼503A室
  • 个人主页http:/info/1058/4517.htm

个人简介

2003年和2005年于华中科技大学获得工学学士和硕士学位,2008年12月在亚利桑那州立大学(Arizona State University)获得电气电子工程博士学位,而后在亚利桑那州立大学任职博士后研究员从事科研工作。从2011年9月起作为助理教授(终身制轨道)任教于丹佛大学电气与计算机工程系(University of Denver),并于2017年6月获得终身教授资格并晋升副教授(Tenured Associate Professor)。获聘HG888皇冠手机教授(终身)、博导、“武汉大学”冠名教授。张俊教授目前担任中国自动化学会副秘书长,《智能科学与技术学报》副主编,《自动化学报》编委会委员,《指挥与控制学报》编委会委员。同时,担任IEEE TCSS、IEEE IoT Magazine编委会委员;任DTPI 2021、2022共同程序主席、NAPS 2016论文主席、ISSISP 2019学术副主任、IEEE SOLI 2019程序主席,作为核心人员组织多次国际学术活动。

研究项目情况及成果:2018年回国后,主持或参与二十余项国家级、省部级、电力行业科技项目,主要包括:1)2019年作为课题负责人,承接科技创新2030-“新一代人工智能”重大项目“人在回路的大电网调控混合增强智能基础理论”中课题四“人在回路永续发展性AI评估与进化方法研究”;2)2021年作为子课题负责人,承接国家自然科学基金委重大项目“复杂人机紧耦合系统的人因安全理论研究”;3)2022年作为子课题负责人,承接科技部科技创新2030“新一代人工智能”重大项目“人机增强的大规模多智能体强化学习理论与应用研究”。

研究方向

人机混合增强智能科技及其在新型电力系统运行、调度、控制等领域的研究与应用,包括基于人机混合增强智能的电力系统运行控制、基于多智能体的分布式深度强化学习的运行控制、高动态系统知识表示和处理等知识工程理论方法及应用。近5年,谷歌学术引用量约2700次,h-index为24,i10-index为54(来源:谷歌学术搜索结果),其中发表了5篇专著(章节),收录论文近100篇。

开设课程

信号与系统(本科)

人工智能技术(研究生)

人工智能在电力系统中的应用(研究生)

科研项目

1.中国基金委,国家高层次海外引进人才青年项目入选人,主持

2.科技部科技创新2030-“新一代人工智能”重大项目,“人在回路的大电网调控混合增强智能基础理论”,项目号:2018AAA0101500,课题四负责人,课题名称“人在回路永续发展性AI评估与进化方法研究”

3.国家自然科学基金委重大项目,“复杂人机紧耦合系统的人因安全理论研究”,批准号:T2192933,课题三子课题负责人,课题名称“复杂人机紧耦合系统中人因安全问题的建模、仿真与评估”

4.科技创新2030—“新一代人工智能”重大项目,“人机增强的大规模多智能体强化学习理论与应用研究”,课题五子课题负责人,课题名称“人机增强大规模多智能体博弈系统工程方法及示范应用”,

5.国家电网公司能源互联网框架项目(专项),电力系统广域协调运行控制技术,参与,边缘计算课题方向。

6.国家电网公司科学技术项目,SGZJ0000KXJS1800435,人工智能应用于电力系统的技术体系和应用场景研究,参与。

7.国家电网公司科学技术项目,基于共享和交易需求的公司数据资产价值评估关键技术与应用,2019/01-2020/12,参与。

8.国网湖北省电力有限公司经济技术研究院,基于异构系统的输电网资产属性挖掘的研究与应用,2018/03-2019/03,主持。

9.天津市科技计划项目人工智能科技重大专项,智能电网调度机器人关键技术研究,2018/04-2020/03,在研,参与。

10.国家电网公司总部科技项目,SGTJDK00DWJS1700060,基于人工智能的调控操作决策辅助分析技术研究及示范应用,2017/01-2017/12,已结题,参与。

11.国家电网华中分部科技项目,基于社会计算和人工智能技术的华中社会经济结构与用电市场的动态特性分析研究,主持。

12.国网河北省电力有限公司电力科学研究院,电力物资检测标准化与智能化提升关键技术及应用项目,主持,2021/6-2023/12。

13.国网湖北省电力有限公司经济技术研究院,基于异构系统的输电网资产属性挖掘的研究与应用,2018/03-2019/03,主持。

14.中国电力科学院有限公司,基于泛在信息的调控保电智能技术研究及应用(省地协同故障处置引擎),主持,2021/1-2021/12。

15.国网南瑞科技股份有限公司,电力调度知识图谱构建关键技术研究与应用,主持,2021/1-2021/12。

16.国网湖北省电力有限公司经济技术研究院,泛在电力物联网下考虑不确定性和多主体博弈的综合能源系统规划方法研究,主持,结题

17.中国电力科学院有限公司,二次设备智能诊断数据处理、知识管理与接口服务,主持,结题

18.中国电力科学院有限公司,面向综合能源的区块链原型系统开发,主持,结题。

代表性成果

(一)、近期期刊论文

1.P. Xu, J. Duan, J. Zhang*, Y. Pei, D. Shi, Z. Wang, X. Dong, Y. Sun,“Active power correction strategies based on deep reinforcement learning-part I: A simulation-driven solution for robustness,”in CSEE Journal of Power and Energy Systems, 2021.(中科院SCI期刊分区:2,IF=3.938)

2.S. Chen, J, Duan, Y. Bai, J. Zhang*, D. Shi, Z. Wang, X. Dong, Y. Sun. Active power correction strategies based on deep reinforcement learning—part II: A distributed solution for adaptability[J]. CSEE Journal of Power and Energy Systems, 2021.(中科院SCI期刊分区:2,IF=3.938)

3.K. Zhang, J. Zhang*, P. -D. Xu, T. Gao and D. W. Gao,“Explainable AI in Deep Reinforcement Learning Models for Power System Emergency Control,”in IEEE Transactions on Computational Social Systems, 2021, pp. 1-9.(中科院SCI期刊分区:2,IF=5.357)

4.X. Li, X. Wang, X. Zheng, Y. Dai, Z. Yu, J. Zhang, Guangquan Bu, Fei-Yue Wang, Supervised Assisted Deep Reinforcement Learning for Emergency Voltage Control of Power Systems, Neurocomputing, 2021.(中科院SCI期刊分区:2,IF=5.719)

5.H. Zhao, J. Zhang*, X. Wang, H. Yuan, T. Gao, C. Hu, J. Yan. The Economy and Policy Incorporated Computing System for Social Energy and Power Consumption Analysis. Sustainability 2021, 13, 10473.(中科院SCI期刊分区:4,IF=3.512)

6.S. Chen, J. Zhang*, Y. Bai, P. Xu, T. Gao, H. Jiang, W. Gao, X. Li, "Blockchain Enabled Intelligence of Federated Systems (BELIEFS): An Attack-Tolerant Trustable Distributed Intelligence Paradigm," in Energy Reports, 2021.(中科院SCI期刊分区:2,IF=6.870)

7.Q. Chen, X. Xu, Z. You, H. Jiang, J. Zhang and F. -Y. Wang,“Communication-Efficient Federated Edge Learning for NR-U based IIoT Networks,”in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3136205.(中科院SCI期刊分区:1,IF=9.936)

8.L. Yang, Chen Lv, X. Wang, J. Qiao, W. Ding, Jun Zhang, Fei-Yue Wang,“Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs”, IEEE/CAA Journal of Automatica Sinica, to appear.(中科院SCI期刊分区:1,IF=6.72)

9.X Li, X Wang, X Zheng, J Jin, Y Huang, JJ Zhang, FY Wang, SADRL: Merging Human Experience with Machine Intelligence via Supervised Assisted Deep Reinforcement Learning, Neurocomputing 467 (2022), 300-309(中科院SCI期刊分区:2,IF=5.719)

10.Linyao Yang, Xiao Wang, Yuxin Dai, Kejun Xin, Xiaolong Zheng, Weiping Ding, Jun Zhang, Fei-Yue Wang, HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning, Knowledge-Based Systems, Volume 233, 5 December 2021, 107498.(中科院SCI期刊分区:2,IF=8.038)

11.Fei-Yue Wang, Jianbo Guo, Guangqu Bo, Jun Zhang*, Mutually Trustworthy Human-Machine Knowledge Automation and Hybrid Augmented Intelligence: Mechanisms and Applications of Cognition, Management and Control for Complex Systems, Frontiers of Information Technology & Electronic Engineering, to appear(中科院SCI期刊分区:3,IF=2.161)

12.M. M. Hassan, G. Fortino, L. T. Yang, H. Jiang, K. -K. R. Choo, J. Zhang, F. -Y. Wang"Guest Editorial for Special Issue on Blockchain for Internet-of-Things and Cyber-Physical Systems," in IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 12, pp. 1867-1867.(中科院SCI期刊分区:1,IF=6.72)

13.J. Zhang et al., "Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond," in IEEE Transactions on Computational Social Systems, vol. 8, no. 4, pp. 928-929.(中科院SCI期刊分区:2,IF=5.357)

14.F. -Y. Wang, I. J. Rudas, D. Wu, X. Wang, Y. Yuan, J. Zhang, Y. Li, G. Bennett, N. Bassiri-Gharb, "Artificial Identification, Blockchain, Cyberphysical Social Systems, Digital Twins, and Parallel Intelligence: Opportunities and Synergies Between the IEEE Council on Radio-Frequency Identification and Systems, Man, and Cybernetics Society [Essay]," in IEEE Systems, Man, and Cybernetics Magazine, vol. 7, no. 2, pp. 61-C4, 2021.

15.袁红霞,张俊,许沛东,方舟.基于图强化学习的电力交通耦合网络快速充电需求引导研究[J].电网技术,2021,45(03):979-986.

16.戴宇欣,张俊,季知祥,刘明忠,高天露,郑永康,姚良忠.基于功能缺陷文本的电力系统二次设备智能诊断与辅助决策[J].电力自动化设备,2021,326(06):184-194.

17.白昱阳,张俊,王晓辉,陈思远,高天露,刘鹏.考虑分布式可再生能源的通证激励机制设计与分散式电力市场研究[J].电力建设,2021,42(06):29-43.

18.张俊*,高文忠,张应晨等.运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望[J].自动化学报, 2017, 43(09):1544-1554.DOI:10.16383/ j.aas.2017.c160744.(中文核心,EI收录,IF:2.793,2021年中国科学技术协会领跑者5000-中国精品科技期刊顶尖学术论文(F5000论文),中文引用124次)

19.王飞跃,张军,张俊*,王晓.(2018).工业智联网:基本概念、关键技术与核心应用.自动化学报, 44(9): 1606-1617(中文核心,EI收录,IF:2.793,中文引用62次)

20.Abdulaziz Almalaq and Jun Jason Zhang, “Deep Learning Application: Load Forecasting in Big Data of Smart Grids” in “Deep Learning: Algorithms and Applications”, Springer, 2019 pp. 103-128

21.A. Almalaq, J. Hao, J. J. Zhang, F. Y. Wang, "Parallel Building: A Complex System Approach for Smart Building Energy Management," in IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 6, Nov. 2019.(IF= 0.935, SCI)

22.S. Han, X. Wang, J. J. Zhang, D. Cao and F. Wang, "Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV," in IEEE Internet of Things Journal, vol. 6, no. 1, pp. 1079-1089, Feb. 2019.(IF=6.735, SCI)

23.马世乾,崇志强,何富林,郝君,张俊,宫晓燕.平行能源系统:博弈的复杂社会技术系统.电力系统及其自动化学报,2019,31(08):59-65+85.(IF=1.209, EI)

24.张俊,王飞跃,林洁瑜.平行智能与智慧能源:全面融合人因的社会能源技术[J].中国电力,2018,51(10):26-31.(IF=1.53,中文核心)

25.J. J. Zhang et al., "Cyber-Physical-Social Systems: The State of the Art and Perspectives," in IEEE Transactions on Computational Social Systems, vol. 5, no. 3, pp. 829-840, Sept. 2018.(IF= 2.36, ESCI)

26.王飞跃,张军,张俊,王晓.工业智联网:基本概念、关键技术与核心应用.自动化学报, 2018, 44(9): 1606−1617.(IF=5.936,EI)

27.Z. Zhu, D. Liu, Q. Liao, et al. “Optimal power scheduling for a medium voltage AC/DC hybrid distribution network,” Sustainability, no.10, vol.2, 318, Jan. 2018.(IF=1.736, SCI)

28.王飞跃,孙奇,江国进,谭珂,张俊,侯家琛,等.核能5.0:智能时代的核电工业新形态与体系架构.自动化学报, 2018, 44(5): 922−934.(IF=5.936, EI)

29.张俊,王飞跃.基于区块链的电网大数据数字资产管理架构[J].电力信息与通信技术,2018,16(08):1-7.(IF=1.258,科技核心)

30.J. J. Zhang et al., "Parallel dispatch: a new paradigm of electrical power system dispatch," in IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 1, pp. 311-319, Jan. 2018.(IF= 4.204, EI)

31.Y. Gu, H. Jiang, J. J. Zhang, Y. Zhang, H. Wu and E. Muljadi, "Multi-Timescale Three-Phase Unbalanced Distribution System Operation With Variable Renewable Generations," in IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 4497-4507, July 2019.(IF=5.733, SCI)

32.C. Yang, Z. Shi, K. Han, J. J. Zhang, Y. Gu and Z. Qin, "Optimization of Particle CBMeMBer Filters for Hardware Implementation," in IEEE Transactions on Vehicular Technology, vol. 67, no. 9, pp. 9027-9031, Sept. 2018.(IF= 3.58, SCI)

33.Wang, Fei-Yue; Zhang, Jun Jason; Wang, Xiao. Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces [J]. FRONTIERS OF COMPUTER SCIENCE . 2018,12 (3), 401-405.(IF= 0.935, SCI)

34.王飞跃,张俊.智联网:概念、问题和平台.自动化学报, 2017,43(12): 2061−2070.(IF=5.936, EI)

35.张俊,高文忠,张应晨,郑心湖,杨柳青,郝君,等.运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望.自动化学报, 2017, 43(9): 1544−1554.(IF=5.936, EI)

36.Y. Zhang, R. Yang, K. Zhang, H. Jiang and J. J. Zhang, "Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch," in IEEE Intelligent Systems, vol. 32, no. 4, pp. 59-63, 2017.(IF= 2.834, SCI)

37.H. Jiang et al., “Big data-based approach to detect, locate, and enhance the stability of an unplanned microgrid islanding,” J. Energy Eng., vol. 143, no. 5, 2017, Art. no. 04017045.(IF=1.728, SCI)

38.J. J. Zhang et al., "Social energy: mining energy from the society," in IEEE/CAA Journal of Automatica Sinica, vol. 4, no. 3, pp. 466-482, 2017.(IF= 4.204, EI)

39.F. Wang et al., "Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond," in IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 2, pp. 113-120, April 2016.(IF= 4.204, ESCI)

40.H. Jiang, Y. Zhang, E. Muljadi, J. J. Zhang and D. W. Gao, "A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization," in IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 3341-3350, July 2018.(IF= 5.733, SCI)

41.M. Zhou, J. J. Zhang and A. Papandreou-Suppappola, "Multiple Target Tracking in Urban Environments," in IEEE Transactions on Signal Processing, vol. 64, no. 5, pp. 1270-1279, March1, 2016.(IF=3.709, SCI)

42.A. Almalaq and J. J. Zhang, "Evolutionary Deep Learning-Based Energy Consumption Prediction for Buildings," in IEEE Access, vol. 7, pp. 1520-1531, 2019.(IF= 2.69, SCI)

43.H. Jiang, X. Dai, D. W. Gao, J. J. Zhang, Y. Zhang and E. Muljadi, "Spatial-Temporal Synchrophasor Data Characterization and Analytics in Smart Grid Fault Detection, Identification, and Impact Causal Analysis," in IEEE Transactions on Smart Grid, vol. 7, no. 5, pp. 2525-2536, Sept. 2016.(IF= 5.733, SCI)

44.M. K. Banavar et al., “An overview of recent advances on distributed and agile sensing algorithms and implementation,” Digital Signal Process., vol. 39, pp. 1–14, Apr. 2015.(IF=2.007, SCI)

45.H. Jiang, J. J. Zhang, W. Gao and Z. Wu, "Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods," in IEEE Transactions on Smart Grid, vol. 5, no. 6, pp. 2947-2956, Nov. 2014.(IF=5.733, SCI)

46.H. Jiang, Y. Zhang, J. J. Zhang, D. W. Gao and E. Muljadi, "Synchrophasor-Based Auxiliary Controller to Enhance the Voltage Stability of a Distribution System With High Renewable Energy Penetration," in IEEE Transactions on Smart Grid, vol. 6, no. 4, pp. 2107-2115, July 2015.(IF=5.733, SCI)

47.L. Huang, Y. Sun, J. Xu, W. Gao, J. Zhang and Z. Wu, "Optimal PMU Placement Considering Controlled Islanding of Power System," in IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 742-755, March 2014. (IF=4.759, SCI)

48.X. Dai, Z. Zhou, J. J. Zhang and B. Davidson, "Ultra-wideband radar-based accurate motion measuring: human body landmark detection and tracking with biomechanical constraints," in IET Radar, Sonar & Navigation, vol. 9, no. 2, pp. 154-163, 2 2015.(IF= 1.135, SCI)

49.L. Miao, J. J. Zhang, C. Chakrabarti and A. Papandreou-Suppappola, "Efficient Bayesian Tracking of Multiple Sources of Neural Activity: Algorithms and Real-Time FPGA Implementation," in IEEE Transactions on Signal Processing, vol. 61, no. 3, pp. 633-647, Feb.1, 2013.(IF=3.709, SCI)

50.Y. D. Zhang, J. J. Zhang, M. G. Amin, and B. Himed, "Instantaneous altitude estimation of maneuvering target in over-the-horizon radar exploiting multipath Doppler signatures," EURASIP Journal on Advances in Signal Processing, vol. 2013, no. 1, p. 100, 2013.(IF=1.509, SCI)

51.L. Miao, J. Zhang, C. Chakrabarti, and A. Papandreou-Suppappola, "Algorithm and parallel implementation of particle filtering and its use in waveform-agile sensing," J. Signal Process. Syst., vol. 65, no. 2, pp. 211–227, Nov. 2011.(IF= 0.83, SCI)

52.Nicolas F Josso, et. all, "Nonstationary System Analysis Methods for Underwater Acoustic Communications," Hindawi Euraship Journal on Advances in Signal Processing, Vol 2011.(IF=1.509, SCI)

53.J. J. Zhang, A. Papandreou-Suppappola, B. Gottin and C. Ioana, "Time-Frequency Characterization and Receiver Waveform Design for Shallow Water Environments," in IEEE Transactions on Signal Processing, vol. 57, no. 8, pp. 2973-2985, Aug. 2009.(IF=3.709, SCI)

(二)、专著

1.D. W. Gao, E. Muljadi, Jun Zhang, and Amin Khodaei (editors), “Proceedings of the 48th North American Power Syposium”, IEEE Press, Denver, CO 2016.

2.Papandreou-Suppappola, J. Zhang, B. Chakraborty, L. Ying, S. Sira, “Adaptive Waveform Design for Tracking,” Chapter 15 in Waveform Diversity for Advanced Radar Systems, (F. Givin, A. De Maio, and L. Patton, Eds.), IET Peter Peregrinus, 2012.

3.Papandreou-Suppappola, C. Ioana, and J. Zhang, “Time-Scale and Dispersive Processing for Wideband Time-Varying Channels,” Chapter 9 in Wireless Communications over Rapidly Time-Varying Channels, (F. Hlawatsch and G. Matz, ed.), Academic Press, 2011.

4.J. Zhang and A. Papandreou-Suppappola, “Waveform Design and Diversity for ShallowWater Environments”, Chapter IV-65, in Principles of Waveform Diversity and Design, (M. Wicks, E. Mokole, S. Blunt, R. Schneible, V. Amuso, Eds), Raleigh, NC: SciTech Publishing, Inc., 2011.

荣誉获奖

近5年来,获得多项国内外重要奖项,主要包括(按时间排序):

1)中国自动化学会科技进步奖(省部级,一等奖),中国自动化学会,2021年;

2)Andrew P. Sage Best Transactions Paper Award & ESI高被引论文,IEEE Systems, Man, and Cybernetics Society (SMCS,IEEE人、机、系统学会),2021年;

3)领跑者5000-中国精品科技期刊顶尖学术论文(F5000),中国科学技术协会,2021年;

4)中国电力科技奖(省部级,二等奖),中国电机工程学会,2020年;

5)NeurIPS & ICAPS国际电网调度竞赛Learn to Run a Power Network (L2RPN),全球第四名;

6)杨嘉墀科技奖(个人二等奖),中国自动化学会和中国宇航学会,2019年。

职称 教授 电话 027-68772281
邮箱 jun.zhang.ee@whu.edu.cn 办公地点 HG888皇冠手机第十一教学楼503A室
个人主页 http:/info/1058/4517.htm