白瑾珺，1991年，中共党员，大连海事大学船舶电气工程学院，副教授，硕士生导师。
邮箱：。
研究方向：
含高比例可再生能源的新型电力系统设计、计算电磁学、多物理场耦合仿真。
硕士招生专业：
电气工程（含学术型和专业学位型）
教育工作经历：
（1）2013年7月毕业于哈尔滨工业大学，电气工程及其自动化学院，电气工程及自动化专业，获得工学学士学位；
（2）2019年1月毕业于哈尔滨工业大学，电气工程及其自动化学院，电气工程系，获得工学博士学位；
（3）2019年4月入职大连海事大学船舶电气工程学院，讲师（2019.04-2024.08），硕士生导师（2020.04至今），副教授（2024.08至今）；
（4）主讲《工程电磁场》、《交流变频调速》、《电气控制cad技术》。
主持项目简况：
（1）国家自然科学基金委员会，青年科学基金项目，舰载大功率射频同轴电缆的稳相机理数值分析及鲁棒性设计方法研究，2024-01-01至2026-12-31，在研，主持；
（2）中国航空综合技术研究所，军口横向项目，*******典型构建表面****行为研究，2023-10-25至2024-09-01，已结题，主持。
论文发表情况：
以第一作者身份在国内外知名sci期刊发表学术论文15篇，其中5篇发表在计算电磁学领域顶级期刊《ieee transactions on electromagnetic compatibility》上，与身为ieee fellow的alistair duffy教授建立了长达十年以上的稳定学术合作关系。
2024年（12篇）：
[1] jinjun bai, shenghang huo, alistair duffy, et al. improvement of nonembedded emc uncertainty analysis methods based on data fusion technique[j]. ieee transactions on electromagnetic compatibility, early access article阶段, 2024.(sci期刊论文)
[2] jinjun bai, bing hu, alistair duffy. uncertainty analysis for emc simulation based on bayesian optimization[j]. ieee transactions on electromagnetic compatibility, early access article阶段, 2024. (sci期刊论文)
[3] jinjun bai, shaoran gao, shenghang huo, et al. key practical issues of the mom using in emc uncertainty simulation[j]. progress in electromagnetics research c, 2024, 145: 21-26. (ei期刊论文)
[4] jinjun bai, bing hu, shenghang huo, et al. uncertainty analysis method for electromagnetic compatibility simulation based on random variable black box model[j]. progress in electromagnetics research m, 2024, 123: 23-33. (ei期刊论文)
[5] jinjun bai, bing hu, haichuan cao, et al. uncertainty analysis method for emc simulation based on the complex number method of moments[j]. progress in electromagnetics research letters, 2024, 121: 7-12. (ei期刊论文)
[6] jinjun bai, xiaolong li, jianshu zhou, et al. integrated prediction of condensation-corrosion-shielding effectiveness of metal box with gaps by simulations[j]. progress in electromagnetics research c, 2024, 144: 137-145. (ei期刊论文)
[7] jinjun bai, qing liu, xinyu cai, et al. reform of "ship awareness internship" course based on ai intelligent tutoring system in the context of engineering certification[c]. 7th international conference on education, network and information technology (icenit 2024), 2024.(ei会议论文，教改工作)
[8] shenghang huo, jinjun bai, shaoran gao, et al. sampling strategy selection for emc simulation surrogate model in uncertainty analysis and electromagnetic optimization design[j]. progress in electromagnetics research c, 2024, 145: 83-90. (ei期刊论文，学生第一作者)
[9] shenghang huo, jinjun bai, haichuan cao, et al. performance analysis of electromagnetic frequency response prediction based on lstm[j]. ieee letters on electromagnetic compatibility practice and applications, 2024. (ei期刊论文，学生第一作者)
[10] shenghang huo, yujia song, qing liu, jinjun bai. improving kriging surrogate model for emc uncertainty analysis using lssvr[j]. the applied computational electromagnetics society journal, 已录用, 2024.(sci期刊论文，学生第一作者)
[11] bing hu, yujia song, pengxiang wang, shining lin, jinjun bai. convergence determination method for uncertainty analysis surrogate models based on meam[j]. progress in electromagnetics research m, 2024, 129: 91-97. (ei期刊论文，学生第一作者)
[12] bing hu, yingxin wang, shenghang huo, jinjun bai. application of improved srom based on rbf neural network model in emc worst case estimation[j]. progress in electromagnetics research letters,2024, 119: 51-57. (ei期刊论文，学生第一作者)
2022年~2023年（8篇）：
[1] jinjun bai, bing hu, and yixuan wan. failure mechanism analysis of the stochastic galerkin method in emc simulation considering geometric randomness [j]. applied computational electromagnetics society journal, 2023, 38(7): 475-481.（sci期刊论文）
[2] jinjun bai, kaibin guo, jingchao sun, and ning wang. application of the multi-element grid in emc uncertainty simulation [j]. applied computational electromagnetics society journal, 2022, 37(4): 428-434.（sci期刊论文）
[3] jinjun bai, yixuan wan, ming li, gang zhang and xin he. reduction of random variables in emc uncertainty simulation model [j]. applied computational electromagnetics society journal, 2022, 37(9): 941-947.（sci期刊论文）
[4] jinjun bai, yulei liu, dewu kong, et al. credibility evaluation of electromagnetic simulation results based on convolutional neural network [j]. ieee letters on electromagnetic compatibility practice and applications, 2023, 5(1):16-21. （ei期刊论文）
[5] jinjun bai, bing hu, and zhengyu xue. emc uncertainty simulation method based on improved kriging model [j]. ieee letters on electromagnetic compatibility practice and applications, 2023, 1-4.（ei期刊论文）
[6] jinjun bai, xintao geng, and xiaobing niu. application of non-embedded uncertainty analysis methods in worst case estimation of the emc [j]. progress in electromagnetics research c, 2023, 135(1): 173-180.（ei期刊论文）
[7] jinjun bai, xiaolong li, and xiaobing niu. application of the fsv method in emc uncertainty simulation results [j]. ieee letters on electromagnetic compatibility practice and applications, 2023, 1-4.（ei期刊论文）
[8] jinjun bai, mingzhao wang and xiaolong li. uncertainty analysis method of computational electromagnetics based on clustering method of moments [j]. progress in electromagnetics research m, 2022, 114(1): 37-47.（ei期刊论文）
2019年~2021年（4篇）：
[1] jinjun bai, jingchao sun, and ning wang. convergence determination of emc uncertainty simulation based on the improved mean equivalent area method [j]. applied computational electromagnetics society journal, 2021, 36(11): 1446-1452.（sci期刊论文）
[2] jinjun bai, hong zhao, yulei liu, et al. parameter identification of the planar integrated emi filter based on the improved immune algorithm [j]. applied computational electromagnetics society journal, 2021, 36(1): 20-26.（sci期刊论文）
[3] jinjun bai, gang zhang, and lixin wang. emc simulation based on fdtd analysis considering uncertain inputs with arbitrary probability density [j]. applied computational electromagnetics society journal, 2019, 34(8): 1112-1118.（sci期刊论文）
[4] jinjun bai, gang zhang, and lixin wang. uncertainty analysis of the emc simulation based on the non-intrusive galerkin method [j]. applied computational electromagnetics society journal, 2019, 34(8): 1128-1133.（sci期刊论文）
攻读博士学位期间（6篇）：
[1] jinjun bai, gang zhang, di wang, et al. performance comparison of the sgm and the scm in emc simulation [j]. ieee transactions on electromagnetic compatibility, 2016, 58(6): 1739-1746.（sci期刊论文）
[2] jinjun bai, lixin wang, di wang, et al. validity evaluation of the uncertain emc simulation results [j]. ieee transactions on electromagnetic compatibility, 2017, 59(3): 797-804.（sci期刊论文）
[3] jinjun bai, gang zhang, alistair duffy, et al. dimension-reduced sparse grid strategy for a stochastic collocation method in emc software [j]. ieee transactions on electromagnetic compatibility, 2018, 60(1): 218-224.（sci期刊论文）
[4] jinjun bai, gang zhang, lixin wang, et al. uncertainty analysis in emc simulation based on improved method of moments [j]. applied computational electromagnetics society journal, 2016, 31(1): 66-71.（sci期刊论文）
[5] jinjun bai, gang zhang, lixin wang, et al. comparison of calculation methods of braided shield cable transfer impedance using fsv method [j]. applied computational electromagnetics society journal, 2015, 30(2): 140-147.（sci期刊论文）
[6] jinjun bai, gang zhang, lixin wang, et al. uncertainty analysis in emc simulation based on stochastic collocation method [c]. 2015 ieee international symposium on electromagnetic compatibility (emc), ieee, 2015: 930-934.（ei会议论文，计算电磁学顶会）
