王晶晶，教授，博士生导师，通信与电子工程学院副院长，国家一流课程负责人、电子信息工程国家一流专业建设点负责人，山东省智能光子传输与传感重点实验室副主任、医学物理博士点负责人、新一代电子信息技术专业硕士学位点负责人，中国电子学会全国高校电子信息学科建设委员会委员、山东省电子学会教育专委会副主任委员。主要从事人工智能、医学影像分析、电磁波探测与成像等方向的科研工作。主持校企联合创新项目1项，承担国家自然科学基金项目2项、省级科研项目5项，在IEEE TGRS、IEEE AWPL等发表SCI论文60余篇，授权发明专利20余项。荣获山东省科技进步奖二等奖1项、山东省高等学校科学技术奖3项、中国济南国际高层次人才创新创业大赛一等奖1项。承担山东省本科教学改革研究重点项目5项、山东省研究生实践基地项目1项、山东省研究生教育优质课程1项，荣获山东省教学成果一等奖2项、二等奖2项，获评校级”教学名师”、“三八红旗手”、“创新创业先进个人”，指导大学生参加“互联网+”、“创青春”等竞赛获国家和省部级奖项80余项。
招生方向
硕士研究生招收方向：信息与通信工程、新一代电子信息技术（含量子技术等）
博士研究生招收方向：医学物理
研究方向
人工智能、医学影像分析、电磁波探测与成像等
主持科研项目
1. 国家自然科学面上项目：基于量子级联激光技术的开放路径痕量温室气体探测理论与实验研究，第2位；
2. 国家自然科学基金青年项目，61401259，基于激活力的音频场景表征及其在公共场合音频场景识别中的应用研究，第2位；
3. 济南市市校融合项目：微电子专业特色学院，主持；
4. 山东省重点研发项目，基于模糊分区算法的电压无功控制器研发，主持
5. 山东省自然科学基金项目，变压器铁芯数控横剪生产线运动控制系统的研究与设计，主持；
6. 山东省自然科学基金项目，基于CCD和多波长差分吸收激光雷达的气溶胶多信息融合反演方法和探测研究，第2位；
7. 山东省高等学校科技计划项目，基于三维卷积神经网络的多硬化病变分割研究，主持
8. 山东省教学改革重点项目，“教育融通–数智赋能–科创启智”——中小学拔尖科创教师培养模式创新与实践，主持；
9. 山东省教学改革重点项目，“训、赛、研、创、产”五位一体电子类创新型人才培养模式研究与实践，主持
代表性论文成果
近年来部分代表论文如下：
39. .JingJing Wang, Zhe Li, Huaqiang Xu , Nannan Hu, Enhanced Contrast Born Iterative Cascaded Network for High-Contrast Inverse Scattering Imaging IEEE Antennas and Wireless Propagation Letters, vol. 24, no. 10, pp. 3440-3444, Oct. 2025
38. Wang J., Chen H, Duan H, Sun R, Yang K, Fang J, Xu H, Song P. An Efficient RMA with Chunked Nonlinear Normalized Weights and SNR-Based Multichannel Fusion for MIMO-SAR Imaging. Remote Sensing. 2025; 17(18):3232.
37. Huaqiang Xu, Zhen Xu, Yumeng Wang, Lijun Li, Yuefeng Zhao, Jingjing Wang, A manifold prediction strategy for evolutionary dynamic multiobjective optimization, Swarm and Evolutionary Computation, Vol.98, 102103, 2025
36. Fang J, Wang R, Ning X, Wang R, Teng S, Liu X, Zhang Z, Lu W, Hu S, Wang J. KCUNET: Multi-Focus Image Fusion via the Parallel Integration of KAN and Convolutional Layers. Entropy. 2025; 27(8):785.
35. Wang, J., Hou, K., Chen, H. et al. Dual Self-attention Fusion Message Neural Network for Virtual Screening in Drug Discovery by Molecular Property. Prediction. Journal of Bionic Engineering, 22, 354–369 (2025).
34. Li, Y., Xu, H., Xu, J., Chen, H., An, Q., Hou, K., & Wang, J. Design of a Near-Field Synthetic Aperture Radar Imaging System Based on Improved RMA, Remote Sensing, 2024, 16(17).
33. Jingjing Wang, Mengmeng Zhang, Yuxi Bai, Huaqing Xu, Yucheng Fan, Distance compensation-based dual adaptive artifact removal algorithm in microwave breast tumor imaging system, Biomedical Signal Processing and Control, Vol( 88),2024, 105598.
32. Xu, Huaqiang, Xiaoshuang Li, Yucheng Fan, Xinchang Yu, Yumeng Wang, Yuefeng Zhao and Jingjing Wang. A novel BP algorithm‐based UWB MIMO ground‐penetrating imaging system. Microwave and Optical Technology Letters 66 (2024):
31. Jing Fang, Xinglin Ning, Taiyong Mao, Mengting Zhang, Yuefeng Zhao, Shaohai Hu, Jingjing Wang. A multi-focus image fusion network combining dilated convolution with learnable spacings and residual dense network, Computers and Electrical Engineering, Vol(117), 2024, 109299.
30. Yucheng Fan, Xiaoshuang Li, Zhiqiang Li, JingjingWang, Huaqiang Xu. Ultra- wideband Imaging of Breast Tumors Based on Global Back Projection Algorithm. Journal of Physics: Conference Series 2806 (2024) 012019.
29. Donghao Guo,Jingjing Wang,Huanqing Liu,Yuxi Bai,Yongcheng Li,Weihao Liu.Multiplicative Improved Coherence Factor Delay Multiply and Sum Algorithm for Clutter Removal in a Microwave Breast Tumor Imaging System. Applied Sciences. 2024, 14, 3820.
28. Jingjing Wang,Yongcheng Li,Jianwei Liu,Yucheng Fan,Kangming Hou, Huaqiang Xu.An improved gain and directivity design of an antipodal Vivaldi antenna for ultra- wideband detection. Microwave and Optical Technology Letters(2024).
27. Jingjing Wang, Jianwei Liu, Kangming Hou, Yongcheng Li. A novel antipodal Vivaldi antenna for ultra-wideband far-field detection. AEU-International Journal of Electronics and Communications. (2023) 164:1434-8411;
26. Jingjing Wang, Jianwei Liu, Yucheng Fan, Yuxi Bai. A novel Vivaldi antenna for UWB detection. Microwave and Optical Technology Letters. (2023)65(3): 826 - 843;
25. Bo Zhao,Tingting Cheng,Xueren Zhang,Jingjing Wang,Hong Zhu,Rongchang Zhao,Dengwang Li,Zijian Zhang,Gang Yu.CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN. Computerized Medical Imaging and Graphics 103 (2023) 102150.
24.Huaqiang Xu, Shuai Gu, Yuchen Fan, Xiaoshuang Li, Yuefeng Zhao, Jun Zhao, JingJing Wang. A strategy learning framework for particle swarm optimization algorithm, Information Sciences. (2022) 619:126-152;
23. Zengzhao Sun, Huamei Xin, Bo Zhang, Jinwen Ren, Zhenye Luan, Hongzhen Li, Xingrun Wang, Jingjing.Wang. DAMNet: Hyperspectral Image Classification Method Based on Dual Attention Mechanism and Mix Convolutional Neural Network. Signal and Information Processing, Networking and Computers, LNEE 917, pp. 3–11, 2023.
22. Jingjing Wang, Hongzhen Li, Wenhan Zhao, Tinglin Pang, Zengzhao Sun, Bo Zhang, Huaqiang Xu. MIFNN: Molecular Information Feature Extraction and Fusion Deep Neural Network for Screening Potential Drugs, Current Issues in Molecular Biology. (2022) 44(11):5638-5654;
21. Le Li, Shuhao Jiang, Junyong Zhao, Mengmeng Zhao, Xin Zhou, Kunpeng Li, Chen Liu, Wencan Zhang, Junfei Chen, Qun Yu, Yuefeng Zhao, Jingjing Wang, Haipeng Si. Comparison of two internal fixation systems in lumbar spondylolysis by finite element methods. Computer Methods and Programs in Biomedicine 218 (2022) 106713.
20. Jingjing Wang, Jinwen Ren, Hongzhen Li, Zengzhao Sun, Zhenye Luan, Zishu Yu, Chunhao Liang, Monfared Yashar E, Huaqiang Xu. DDGANSE: Dual-Discriminator GAN with a Squeeze-and - Excitation Module for Infrared and Visible Image Fusion. Photonics;
19. .Jingjing Wang, Zishu Yu, Zhenye Luan, Jinwen Ren, Yanhua Zhao, Gang Yu. RDAU-Net: Based on a residual convolutional neural network with DFP and CBAM for brain tumor segmentation. Frontiers in Oncology. (2022)12: 805263;
18. Yuefeng Zhao, Yanqi Wang, Chunhao Liang, Jingjing Wang, Jing Fang, Maoxia Zhou. Study of Mixed Pollution of Haze and Dust in Jinan Based on LiDAR. Photonics 2022, 9(3), 144.
17. Jingjing Wang, ZhenyeLuan, Zishu yu, Jinwen Ren, Jun Gao, Kejiang Yuan, Huaqiang Xu. Superpixel segmentation with squeeze-and-excitation networks. Signal, Image and Video Processing. (2022) 16:1161-1168;
16. Huamei Xin, Zengzhao Sun, Ying Xing, Jingjing Wang. BM3D adaptive TV filtering-based convolutional neural network for ESPI image denoising. Applied Optics 60(35), 10920-10927 (2021).
15. Jingjing Wang, Jun Gao, Jinwen Ren, Zhenye Luan, Zishu yu,Yanhua Zhao, Yuefeng Zhao. DFP-ResUNet: Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation. Computer Methods and Programs in Biomedicine. (2021) 208:106208;
14. Jingjing Wang, Zhenye Luan, Zishu yu, Jinwen Ren, Khushal Khan, Kejiang Yuan, Huaqiang Xu. An adaptive sparse Bayesian model combined with joint information-based label fusion for brain tumor segmentation in MRI. Signal, Image and Video Processing. (2022) 16:685-693;
13. Yanan Zhang, Yue Ding, Can Li, Huaqiang Xu, Chunxiang Liu, Jingjing Wang, Yong Ma, Junfeng Ren, Yuefeng Zhao, Weiwei Yue. An optic-fiber graphene field effect transistor biosensor for the detection of single-stranded DNA. Analytical Methods (2021), Issue 15;
12. Yuefeng Zhao, Hui Li, Jing Gao, Xu Wang, Yurong Zhang, Mengjun Duan, Yanqi Wang, Jie Pan, Yangjian Cai, Jingjing Wang, Jing Fang. Effects of transmission loss on two-mode squeezed vacuum state quantum lidar. Journal of the Optical Society of America B 38(3), 1004-1008 (2021).
11. Yue-Feng Zhao, Jing Gao, Yang-jian Cai, Jing-jing Wang, Jie Pan. Real-time tracing VOCs, O₃ and PM2.5 emission sources with vehicle-mounted proton transfer reaction mass spectrometry combined differential absorption lidar. Atmospheric Pollution Research 12(3), 146-153 (2021).
10. Jingjing Wang, Yongtao Du, Chunhao Liang,Zhong Li, Jing Fang. Performance Evaluation of Highly Nonlinear Fiber (HNLF) Based Optical Phase Conjugation (OPC) in Long Haul Transmission of 640 Gbps 16-QAM CO-OFDM. Photonics. (2021) 8:45;
9. Zhao Yuefeng, Gao Jing, Pan Jie, Wang Xu, Zhang Yurong, Li Hui, Wang Yanqi, Duan Mengjun, Yue Weiwei, Cai Yangjian, Xu Huaqiang, Wang Jingjing. Detection of regional atmospheric particulate matter based on lidar. Infrared and Laser Engineering 49(S2), 20200324 (2020).
8. .Jing Gao, Jie Pan, Jingjing Wang, Yangjian Cai, Yuefeng Zhao. Triple charge-coupled device cameras combined backscatter lidar for retrieving PM2.5 from aerosol extinction coefficient. Applied Optics 59(33), 10369-10379 (2020).
7. Jingjing Wang, Meiru Liu, Chunhui Zhang, Huaqiang Xu, Liren Zhang, Yuefeng Zhao, An adaptive sparse Bayesian model combined with probabilistic label fusion for multiple sclerosis lesion segmentation in brain MRI. Future Generation Computer Systems, V105, 2020, P.695-704;
6. Lu Wang, Lifan Zhao, Lei Yu, Jingjing Wang, Guoan Bi, Structured Bayesian Learning for Recovery of Clustered Sparse Signal, Signal Processing，Vol.166（2020）107255;
5. H. Bi, J. Wang, G. Bi, “Wavenumber Domain Algorithm Based FMCW SAR Sparse Imaging”, IEEE Transaction on Geoscience and Remote Sensing, Vol.57, No.10, 2019;
4. Jinjin Sun, Xiaohui Xie, Ke Xie, Shicai Xu, Shouzhen Jiang, Junfeng Ren, Yuefeng Zhao, Huaqiang Xu, Jingjing Wang, Weiwei Yue. Magnetic Graphene Field-Effect Transistor Biosensor for Single-Strand DNA Detection. Nanoscale Research Letters (2019)
3. Jingjing Wang, Changjun Hu, Huaqiang Xu, Yan Leng, Liren Zhang, Yuefeng Zhao. A novel multi-atlas and multi-channel (MAMC) approach for multiple sclerosis lesion segmentation in brain MRI. Signal, Image and Video Processing. (2019)13:1019-1027；
2. Zhao Yuefeng, Hu Nannan, Wang Yunuan, Liu Yonglei, Li Xiaofei, Wang Jingjing, The application of nearinfrared reflectance hyperspectral imaging for the detection and extraction of bloodstains, Cluster Computing,Vol.7(2018) p. 8453-8461
1. Yuefeng Zhao, Shengliang Han , Jimin Yang, Liren Zhang, Huaqiang Xu and Jingjing Wang, A Novel Approach of Slope Detection Combined with Lv’s Distribution for Airborne SAR Imagery of Fast Moving Targets, Remote Sensing, 2018, 10(5), 764.
荣誉奖励
1.2025年山东省科技进步二等奖
