博士（澳大利亚昆士兰大学）
工学学士（中国西安交通大学）

赵俊华教授分别于2003年和2007年在西安交通大学和澳大利亚昆士兰大学获得学士和博士学位。他于2015年加入香港中文大学（深圳）。在加入香港中文大学（深圳）之前，他担任澳大利亚纽卡斯尔大学智能电网中心的高级讲师，并兼任主任科学家。他已发表了120多篇学术论文，其中60多篇发表在国内外的顶尖期刊上。他获得了2014年IEEE电力与能源大会最佳论文奖，2013年湖南省科技进步奖（二等奖），并三次获得国家科学技术部“F5000”中国精品科技期刊顶尖学术论文奖。他回国前曾担任国际智能电网联盟（GSGF）工作组的成员，也是澳大利亚智能电网组织（SGA）工作组的成员。他领导或参与了20多个重要的研究和工业项目，包括由澳大利亚政府资助的“智能电网，智能城市”大规模试点项目，由澳洲联邦科学院（CSIRO）资助的两个旗舰研究项目，及一个美国电力科学研究院（EPRI）研究项目。他是《Journal of Modern Power System and Clean Energy》和《Electric Power Components and Systems》的编委会委员。2017年，因对澳大利亚能源系统研究做出突出贡献，赵俊华教授被澳大利亚达沃斯论坛（ADC Forum）授予了青年科学家奖（Young Scientist of the Future）。

1. Zhao, J.H., Xu, Y., Luo, F., Dong, Z., & Peng, Y. (2014). Power system fault diagnosis based on history driven differential evolution and stochastic time domain simulation. Information Sciences, 275, 13-29.
2. Yao, W., Zhao, J.H., Wen, F., Xu, Y., Meng, K., Dong, Z., Xue, Y. (2014). A multi-objective collaborative planning strategy for integrated power distribution and electric vehicle charging systems. IEEE Transactions on Power Systems, 29(4), 1811-1821.
3. Zheng, Y., Xu, Y., Meng, K., Zhao, J. H., Qiu, J., & Dong, Z. Y. (2014). Electric vehicle battery charging/swap stations in distribution systems: Comparison study and optimal planning. IEEE Transactions on Power Systems, 29(1), 221-229.
4. J. Qiu, Z. Y. Dong, J. H. Zhao, K. Meng, Y. Zheng, and D. Hill (2014). Low carbon driven expansion planning of the integrated gas and power systems, IEEE Trans. Power Systems.
5. G.B. Wang, J.H. Zhao, F.S. Wen, Y.S. Xue and G. Ledwich (2014). Dispatch Strategy of PHEVs to Mitigate Selected Patterns of Seasonally Varying Outputs from Renewable Generation, IEEE Transactions on Smart Grid.
6. F.J. Luo, J.H. Zhao (*), Z.Y. Dong, X.J. Tong, H.M. Yang, Y.Y. Chen, and H.L. Zhang (2014). Optimal air conditioner load dispatch in southern China region using fuzzy adaptive imperialist competitive algorithm, IEEE Transactions on Smart Grid.
7. Yang, H., Yi, D., Zhao, J.H. (*), & Dong, Z. (2013). Distributed Optimal Dispatch of Virtual Power Plant via Limited Communication. IEEE Transactions on Power Systems, 28(3), 3511-3512.
8. Yao, W., Zhao, J.H., Wen, F., Xue, Y., & Ledwich, G. (2013). A Hierarchical Decomposition Approach for Coordinated Dispatch of Plug-in Electric Vehicles. IEEE Transactions on Power Systems, 28(3), 2768-2778.
9. Yang, H., Chung, C. Y., & Zhao, J.H. (2013). Application of plug-in electric vehicles to frequency regulation based on distributed signal acquisition via limited communication. IEEE Transactions on Power Systems, 28(2), 1017-1026.
10. Yang, H., Yi, J., Zhao, J.H. (*), & Dong, Z. (2013). Extreme learning machine based genetic algorithm and its application in power system economic dispatch. Neurocomputing, 102, 154-162.
11. Zhao, J.H., Wen, F., Dong, Z. Y., Xue, Y., & Wong, K. P. (2012). Optimal dispatch of electric vehicles and wind power using enhanced particle swarm optimization. IEEE Transactions on Industrial Informatics, 8(4), 889-899.
12. Dong, Z. Y., Zhao, J.H., & Hill, D. J. (2012). Numerical simulation for stochastic transient stability assessment. IEEE Transactions on Power Systems, 27(4), 1741-1749.
13. J.H. Zhao, ZY Dong, P. Lindsay and K.P. Wong (2009). Flexible transmission expansion planning with uncertainties in an electricity market, IEEE Trans on Power Systems, 24(1), 479-488.
14. J.H. Zhao, Z.Y. Dong, Z. Xu and K.P. Wong (2008). A Statistical Approach for Interval Forecasting of the Electricity Price, IEEE Trans on Power Systems, 23(2), 267-276.
15. J.H. Zhao, Z.Y. Dong, X. Li and K.P. Wong (2007). A Framework for Electricity Price Spike Analysis with Advanced Data Mining Methods, IEEE Trans on Power Systems, 22(1), 376-385.