曾钰      1995年   山东济南人           邮箱： yu.zeng@uestc.edu.cn     

实验室VR  电子科技大学电力电子与智慧能源实验室

团队牵头建设有：广东省智能装备自主感知与控制工程技术研究中心；深圳市通感一体与智能无人系统重点实验室；深圳市龙华区高端装备智能感知与先进控制重点实验室。

 广东省珠江青年拔尖人才，深圳市特聘岗位，电子科技大学“百人计划”研究员，博士生导师

      IEEE Senior Member

      担任Protection and Control of Modern Power Systems, Chinese Journal of Electrical Engineering, IET Energy Conversion and Economics等期刊青年编委。

      担任电力电子和智慧能源领域国际著名期刊 IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics, IEEE Transactions on Smart Grid, IEEE Transactions on Transportation Electrification等国际高水平学术期刊审稿人。

      担任ECCE, IECON等电力电子顶级会议Session Chair等职务共8次。

1.     近5年以第一/通讯作者发表智慧能源、电力电子以及人工智能方向中科院一区论文13篇，一作ESI高被引论文3篇，曾获得南洋理工-电气与电子工程学院最佳博士学位论文奖，国家优秀自费留学生奖学金特别优秀奖等荣誉，课题组氛围融洽，诚挚欢迎优秀硕士、博士生、博士后加入，共同探索前沿科学问题。

2.     主持广东省、深圳市、电子科大高层次人才启动经费超400万元。博士及博士后期间深度参与多项重大科研项目，包括新加坡国家研究基金会（NRF）重点研发计划、新加坡教育部（MOE）项目、香港研究资助局（RGC）项目，以及罗尔斯·罗伊斯–南洋理工大学联合实验室项目，所涉横纵向项目总经费逾2亿元。在国家级与省部级项目申报方面积累了丰富经验。

3.     依托粤港澳大湾区便利的交通与科研协同优势，与香港城市大学Josep Pou (IEEE Fellow) 讲席教授紧密合作，共建港深联合实验室，为每位学生提供与国际顶尖学者合作、联合培养及参与高水平研究的机会。

4.   担任香港城市大学访问学者（兼职），澳大利亚多所大学硕士论文审稿专家。可推荐学生去香港城市大学、南洋理工大学、新南威尔士大学、帝国理工学院、弗吉尼亚理工大学等世界一流高校开展访学、联合培养或深造；

5.     在企业项目方面，本团队已经与某电源设备公司，新能源发电公司，xx微电子公司开展了长期合作，每年横向课题经费超过500万，课题组有丰富锻炼和动手机会，在学生阶段便可加入产品研发，积累经验。

招生信息：每年拟招收博士研究生1-2名和硕士生3-5名，研究方向包括但不限于智慧能源、电力电子、人工智能、微电网、深海。有意者欢迎发邮件至yu.zeng@uestc.edu.cn。

欢迎优秀博士毕业生加入课题组做博士后，课题组将提供丰厚的待遇，年薪36万起，支持申报各类国家级、省部级课题，支撑其平台与团队建设。

科研项目：

[1] 深圳市人才科研启动项目，纵向课题，主持，2026-2029，300万

[2]  电子科技大学高层次人才配套项目，纵向课题，主持，2026-2029，100万

[3] 山东大学教育部重点实验室开放课题，主持，2024-2026，主持，5万

[4] 新加坡电动垂直起降（eVTOL）飞机研发项目，IAF-PP，A-STAR， 2023年7月至2026年6月，参与，金额：2500万新加坡元

[5] 罗尔斯罗伊斯@南洋理工大学企业实验室 – 第二阶段，IAF-ICP，A-STAR/罗尔斯罗伊斯/南洋理工大学，2019年1月至2024年7月，参与，金额：9000万新加坡元

      部分期刊代表作:*为通讯作者

[1]      Y. Zeng, Z. Xiao, Q. Liu, and J. Pou, “Physics-informed deep transfer reinforcement learning method for the input-series output-parallel dual active bridge-based auxiliary power modules in electrical aircraft,” IEEE Trans. Transp. Electrif., vol. 11, no. 2, pp. 6629-6639, Apr. 2025. (JCR Q1, IF: 8.2, ESI热点论文, ESI高被引论文)

[2]      Y. Zeng, S. Jiang, K. Georgios, J. Pou, G. Zou, and X. Zhang, “Multi-objective controller design for grid-following converters with easy transfer reinforcement learning,” IEEE Trans. Power Electron., vol. 40, no. 5, pp. 6566-6577, May 2025. (JCR Q1, IF: 6.7, ESI高被引论文)

[3]      Y. Zeng, J. Pou, X. Zhang, Z. Li, C. Sun, S. Mukherjee, A. Gupta, and J. Dong, “Active disturbance rejection control using artificial neural network for dual-active-bridge-based energy storage system,” IEEE J. Emerg. Sel. Top. Power Electron., vol. 11, no. 1, pp. 301-311, Feb. 2023. (JCR Q1, IF: 5.5, ESI高被引论文)

[4]      Z. Yuan, Y. Zeng*, A. Ghias, P. Lin, and J. Pou, “Real-Time Augmented Deep Reinforcement Learning Implementation Framework for Power Electronic Converters,” IEEE Trans. Power Electron., Early Access, doi: 10.1109/TPEL.2026.3660062 (JCR Q1, IF: 6.7)

[5]      Z. Yuan, Y. Zeng*, A. Ghias, J. Pou, and V. Picket, “Online-Trained Deep Reinforcement Learning-Based Control for Reconfigurable Battery Storage in DC Shipboard Microgrid Applications,” IEEE Trans. Transp. Electrif., Early Access, doi: 10.1109/TTE.2026.3653172. (JCR Q1, IF: 8.3)

[6]      Y. Zeng, G. Liang, Q. Liu, E. Rodriguez, J. Pou, H. Jie, X. Liu, X. Zhang, J. Kotturu, and A. Gupta, “Multi-agent soft actor-critic aided active disturbance rejection control of dc solid-state transformer,” IEEE Trans. Ind. Electron., vol. 72, no. 1, pp. 492-503, Jan. 2025. (JCR Q1, IF: 7.7)

[7]      Z. Xiao, Y. Zeng*, and Y. Tang, “Swift and seamless start-up of dab converters in constant and variable frequency modes,” IEEE Trans. Ind. Electron. Early Access, doi: 10.1109/TIE.2024.3481900. (JCR Q1, IF: 7.7)

[8]      Y. Zeng, E. Rodriguez, Q. Liu, G. Liang, H. Jie, H. Ruan, J. Pou, J. Kotturu, and A. Gupta, “Easy transfer learning-based model-data-hybrid-driven fault detection for battery inverters,” IEEE Trans. Ind. Electron. Early Access, vol. 72, no. 5, pp. 5481-5487, May 2025. (JCR Q1, IF: 7.7)

[9]      Q. Liu, E. Rodriguez, Y. Zeng*, G. Farivar, C. Townsend, and J. Pou, “Minimum voltage operation of cascaded h-bridge statcoms using discontinuous modulation”, IEEE Trans. Power Electron. vol. 39, no. 5, pp. 5014-5019, May 2024. (JCR Q1, IF: 6.7)

[10]   S. Jiang, Y. Zeng*, Y. Zhu, J. Pou, and K. Georgios, “Stability-oriented multi-objective control design for power converters assisted by deep reinforcement learning”, IEEE Trans. Power Electron., vol. 38, no. 10, pp. 12394-12400, Oct. 2023. (JCR Q1, IF: 6.7)

[11]   Y. Zeng*, J. Pou, C. Sun, X. Li, G. Liang, Y. Xia, S. Mukherjee, and A. Gupta, “Deep reinforcement learning-enabled distributed uniform control for a dc solid state transformer in dc microgrid,” IEEE Trans. Ind. Electron., vol. 71, no. 6, pp. 5818-5829, Jun. 2023. (JCR Q1, IF: 7.7)

[12]   Y. Zeng, J. Pou, C. Sun, A. Maswood, J. Dong, S. Mukherjee, and A. Gupta, “Multi-agent deep reinforcement learning-aided output current sharing control for input-series output-parallel dual active bridge converter,” IEEE Trans. Power Electron., vol. 37, no. 11, pp. 12955-12964, Nov. 2022. (JCR Q1, IF: 6.7)

[13]   Y. Zeng*, J. Pou, C. Sun, S. Mukherjee, X. Xu, A. Gupta and, J. Dong, “Autonomous input voltage sharing control and triple phase shift modulation method for ISOP-DAB converter in DC microgrid: A multiagent deep reinforcement learning-based method,” IEEE Trans. Power Electron. vol. 38, no. 3, pp. 2985-3000, Mar. 2023. (JCR Q1, IF: 6.7)

[14]   Y. Zeng, G. Zou, X. Zhang, X. Wei, C. Sun, and L. Jiang, “Faulty feeder selection and segment location method for SPTG fault in radial MMC-MVDC distribution grid,” IET Gener. Transm. Distrib, vol.14, no. 2, pp. 223-233, Dec. 2019. (JCR Q3, IF: 2.5) 

[15]   H. Jie, Z. Zhao, Y. Chang, Y. Zeng, A. Gupta, and K. See, “High-frequency impedance modeling of nanocrystalline common-mode chokes using mixed-mode theory and improved multi-stage RLC iteration circuit,” IEEE Trans. Ind. Electron. Early Access, doi: 10.1109/TIE.2024.565748. (JCR Q1, IF: 7.7)

[16]   G. Liang, E. Rodriguez, Y. Zeng, G. Farivar, H. Lam, H. Yuan, and J. Pou, “Reactive power distribution in the cascaded h-bridge converter with unbalanced submodule active power for capacitance reduction,” IEEE Trans. Ind. Electron. Early Access, doi: 10.1109/TIE.2024.3363737. (JCR Q1, IF: 7.7)

[17]   H. Jie, Z. Zhao, F. Fan, Y. Zeng, S. Firman, A. Gupta, and K. See, “High-precision broadband impedance measurements of three-phase common-mode chokes using single-port circuit de-embedding and three-port network calibration methods”, IEEE Trans. Ind. Electron., vol. 71, no. 8, pp. 8248-8258, Aug. 2024. (JCR Q1, IF: 7.7)

[18]   M. Mridul, J. Pou, G. Chandana, Y. Zeng, etal, “Constant current precharging algorithm for solid state power controllers,” IEEE Trans. Ind. Electron. vol. 71, no. 10, pp. 12991-13001, Oct. 2024. (JCR Q1, IF: 7.7)

[19]   H., Jie, Z. Zhao, Y. Zeng, Y. Chang, F. Fan, C. Wang, and K. Y.See, “A review of intentional electromagnetic interference in power electronics: Conducted and radiated susceptibility,” IET Power Electronics. Early Access, doi: 10.1049/pel2.12685. (JCR Q3, IF: 2.4)

部分会议代表作:

[1]    Y. Zeng, S. Jiang, G. Zou, G. Konstantinou, J. Pou, and Z. Yuan, “Multi-objective control design for grid-following converters,” 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, Australia, 2025, pp. 1-5.

[2]     Y. Zeng, J. Pou, G. Zou, etal, “Physics-informed neural network for dc solid state transformers in dc microgrids,” in Proc. 51th Annu. Conf. IEEE Ind. Electron. Soc. (IECON), Madrid, Spain, Oct. 2025.

[3]     Y. Zeng, Q. Liu, J. Pou, Y. Yu, C. Wiguna, C. Lee, J. Wang, H. Sun, and A. Baronian, “Multi-agent deep reinforcement learning aided active disturbance rejection control of dc solid-state transformer in electric aircraft,” in 2024 IEEE Energy Conversion Congress and Exposition (ECCE), Phoenix, AZ, USA, Oct. 2024, Early Access.

[4]     Y. Zeng, J. Pou, H. Jie, J. Dong, H. Ruan, J. Kotturu, M. Cupelli, and A. Gupta, “A physics-informed pattern recognition method for open-circuit fault detection of inverters under unexpected conditions,” in Proc. 49th Annu. Conf. IEEE Ind. Electron. Soc. (IECON), Singapore, Oct. 2023.

[5]     Y. Zeng, A. Maswood, J. Pou, X. Zhang, Z. Li, C. Sun, J. Dong, S. Mukherjee, and A. Gupta, “Deep reinforcement learning based input voltage sharing method for input-series output-parallel dual active bridge converter in dc microgrids,” in 2021 IEEE Energy Conversion Congress and Exposition (ECCE), Vancouver, Canada, Oct. 2021, pp. 3348-3352.

[6]     Y. Zeng, X. Zhang, S. Mukherjee, A. K. Gupta, C. Sun, and J. Dong, “Adaptive active disturbance rejection control of DAB based on PSO,” in Proc. 46th Annu. Conf. IEEE Ind. Electron. Soc. (IECON), Singapore, Nov. 2020, pp. 2840-2845.