Dr. Kuiwen Xu joined Department of Information and Electronics, Hangzhou Dianzi University (HDU) in August 2015, as Associate Professor and PhD supervisor, where he has been a Professor since Dec 2020. Dr. Xu received the B.E. degree from Hangzhou Dianzi University, Hangzhou, China, in 2009, and the Ph.D. degree from Zhejiang University, Hangzhou, in 2014, all in electrical engineering. From 2012 to 2013, he was a Visiting Ph.D. Student with the National University of Singapore, Singapore. From 2014 to 2015, he was a Senior Researcher with Huawei Technologies Company, Ltd., Hangzhou. He was invited to the State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, Hong Kong, as a Visiting Professor, in 2018.
Dr. XU’s research interests include but not limited to machine learning-based wireless sensing and imaging, electromagnetic inverse problems, new concept antennas and advanced RF systems. She has published more than 70 scientific articles in the related areas, including 30+ papers in top journals (including TMTT, TAP, TIM etc.). He is currently an IEEE member. He also serves as Associate Editor of the Electronic Letters. And he is also support by the Talent Project of Zhejiang Association for Science and Technology and has several funding related to microwave imaging and antenna design.
Research interests include but not limited to machine learning-based wireless sensing and imaging, electromagnetic inverse problems,new concept antenna and advanced RF systems. 1. Electromagnetic wave inversion and imaging 2. EM Wave sensing and imaging via physical-law assisted machine learning 3. Surrogate-based optimization design of microwave device 4. Advanced RF systems for microwave sensing
2009.9–2014.7，Ph.D: Research on Selected Topics of Antenna and Inverse Scattering Problem, Zhejiang University, Hangzhou, P.R. China, Advisor: Prof. Lixin Ran
2012.8–2013.3，Visiting Ph.D. Student: Research on Inverse Scattering Problem, National University of Singapore, Singapore, Advisor: Prof. Xudong Chen
2005.9–2009.6，B.S: Telecommunication Engineering, Hangzhou Dianzi University, China
2021.1 – now Professor and PhD supervisor, Hangzhou Dianzi University Department of electronics & information Engineering 2015.8 – 2020.12 Associate Professor, Hangzhou Dianzi University Department of electronics & information Engineering 2018.8 – 2018.11 Visiting Associate Professor in the State Key Laboratory of Terahertz and Millimeter wave at the City University of Hong Kong 2014.7 – 2015.8 Senior Researcher, Wireless communication Lab, Huawei Technologies Company Ltd., Hangzhou, P.R. China.
1. Associate Editor of Electronic Letters in IET; 2.Special session committee chair: Microwave and mm wave antenna design, 2017 Microwave and mm wave Symposium in China, Hangzhou, China. 3. Technical Program Committee (TPC), Special session：Passive ICs and Active Antennas，2018 IEEE International Conference on Integrated Circuits, Technologies and applications, Beijing, China. 4.Special session Organizer & Chair, Special session: Modeling of Inverse Electromagnetic Problems and Their Simulation, 2020 IEEE MTT-S international Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Hangzhou, China. 5. Member of Chinese Institute of Electronics, member of Zhejiang Institute of Electronics 6. Frontiers Review Editor 7. Served as a reviewer for more than 20 domestic and international journals such as IEEE TMTT, TAP, TGRS, TCI, AWPL, MWCL, etc. 8.Special session Organizer & Chair of international and domestic academic conferences such as IEEE-APS, PIERs, ICCEM, ACES, and National Microwave Annual Conference. 9. Super reviewer for the IEEE-APS 2021.
1. Machine learning-assisted electromagnetic wave inversion and imaging Machine learning-based wireless sensing and imaging mainly involves electromagnetic perception and imaging algorithms, including electromagnetic full-wave inversion imaging based on machine learning, radar imaging and MIMO-SAR imaging methods. Based on these methods, a new concept of radar imaging system is developed, composed of radio frequency transceiver modules, new concept of antennas and RF Link design, etc. Application scenarios include but not limited to: through-wall imaging, security imaging, non-destructive testing, and biomedical imaging.
Fig. 1 Electromagnetic sensing and imaging 2. Advanced beamforming antennas and microwave systems： It is mainly aimed at millimeter-wave beam scanning antennas and multi-functional millimeter-wave antennas used in 5G+ and 6G, and realizes new-concept and low-cost phased array antennas. 
Fig. 2. Beam-steering antenna system for 5G+ and 6G communications
3. Automatic design of inversion RF devices and chips inspired by machine intelligence： Traditional radio frequency devices need to rely on time-consuming manual design and optimization of geometric parameters in 3D electromagnetic simulation software (CST, HFSS, FEKO, etc.). Electromagnetic compatibility, front-end antenna optimization design, and inverse design not only require traditional optimization algorithms (gradient method, heuristic algorithm, etc.), but also need to use the currently popular deep learning algorithms to realize machine-intelligent RF device inverse automation design. 
Fig 3. Inverse Automated Design of RF Devices
Longitudinal research
1. Physical-driven deep neural network inversion for microwave Inverse scattering problems，2020.1-2023.12, National Nature Science Foundation of China, 61971174, Funding: 590,000RMB. 2. Research on the method to solve strong nonlinear inverse scattering problems with the inhomogeneous background medium，2017.1-2019.12, National Nature Science Foundation of China, 6160116, Funding: 210,000RMB. 3. Detection and super-resolution imaging of brain stroke based on electromagnetic inverse scattering method，2019.1-2021.12，Zhejiang Provincial Natural Science Foundation，LY19F010012, Funding: 100,000RMB. 4. Microwave biomedical imaging with super resolution based on inverse scattering problems，2018.1-2019.121, Opening project in State Key Lab of Millimeter Waves, Southeast University, K201822, funding: 40,000RMB. 5. Deep-learning based quantitative microwave image methods, 2020.01-2022.12, China Postdoctoral Science Foundation, 2019M66198，funding: 80,000RMB. 6. Real-time quantitative microwave imaging with deep neural networks，2021.1-2022.12，Foundation Sponsored by Hangzhou Innovation Institute, Beihang University, 2020-Y5-A-021，funding: 200,000 RMB. 7. Media manipulation of electromagnetic fields, 2021.1-2023.12, Outstanding Natural Science Foundation of Zhejiang Province, LR21F010002, funding: 800,000RMB，2/10. 8. Research on the bandgap correlation mechanism and field manipulation of elementary asymmetry in metamaterials, 2019.1-2022.12，National Nature Science Foundation of China, 6160116, Funding: 640,000 RMB，2/10. 9. Migration and integration of EDA tools in high performance computing environment, 2018.1-2022.12, National Key R&D Program of the Ministry of Science and Technology, funding:400,000 RMB,, main participants. 10. EDA platform for the whole process of radio frequency integrated circuit design, 2021.1-2023.12, Zhejiang Provincial Science and Technology Plan Project - Key R & D Plan - Selected and Entrusted Projects, 2021C01041, funding:20,000,000 RMB,, main participants. 11. Research on EDA technology for open source circuit design, 2020.1-2023.12, National Key R&D Program of the Ministry of Science and Technology, 2019YFB2205003, funding: 900,000RMB, main participants.
Transverse scientific research
Publications
Selected Journal Papers (节选代表性论文) 2023年
1. K. Xu, Z. Qian, Y. Zhong, J. Su, H. Gao and W. Li, "Learning-assisted inversion for solving nonlinear inverse scattering problem," IEEE Transactions on Microwave Theory and Techniques, doi: 10.1109/TMTT.2022.3228945, in press.
2022年
1. L. Peng, H. Ren, Y. Chao, T. Lan, K. Xu, D. Ye, X. Luo, H. Sun, S. Xu, H. Chen, and S. Zhang, "Spin Hall effect of transversely spinning light," Science Advances, vol. 8, no. 34, 2022, doi: DOI: 10.1126/sciadv.abo6033. 2. K. Xu, Q. Wang, L. Lv, Q. Zhang, S. Sun, F. Luo, X. Luo, L. Peng, and G. Wang, "SIW based Ka-band leaky-wave antenna with improved beam steering performance," IEEE Antennas and Wireless Propagation Letters, vol. 21, no. 11, pp. 2224-2228, Nov. 2022. 3. F. Luo, J. Wang, J. Zeng, L. Zhang, B. Zhang, K. Xu*, and X. Luo, " Cascaded complex U-net model to solve inverse scattering problems with phaseless-data in the complex domain," IEEE Transactions on Antennas and Propagation, vol. 70, no. 8, pp. 6160-6170, Aug. 2022. 4. K. Xu, C. Zhang, X. Ye and R. Song, "Fast full-wave electromagnetic inverse scattering based on scalable cascaded convolutional neural networks," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Jan. 2022. 5. F. Shen, Y. Gao, L. Li, B. Zhang, K. Xu and L. Ran, "Wideband microwave sensor for downhole water-cut monitoring," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5914512. 6. T. Yin, C. -F. Wang, K. Xu, Y. Zhou, Y. Zhong and X. Chen, "Electric flux density learning method for solving three-dimensional electromagnetic scattering problems," IEEE Transactions on Antennas and Propagation, doi: 10.1109/TAP.2022.3145486. 7. R. Song, Y. Huang, X. Ye, K. Xu, C. Li and X. Chen, "Learning-based inversion method for solving electromagnetic inverse scattering with mixed boundary conditions," IEEE Transactions on Antennas and Propagation, vol. 70, no. 8, pp. 6218-6228, Aug. 2022. R. Song, M. Li, K. Xu, C. Li and X. Chen, "Electromagnetic inverse scattering with an untrained SOM-Net," IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 11, pp. 4980-4990, Nov. 2022.
2021年
1. P. Zhao, L. Liu, K. Xu*, X. Ye, S. Chen, G. Wang, and C. Chan, "An improved subspace-regularized DBIM-MLGFIM method for three-dimensional inverse scattering problems," IEEE Transactions on Antennas and Propagation, vol. 69, no. 5, pp. 2798-2809, May. 2021. 2. H. Jiang, K. Xu*, Q. Zhang, Y. Yang, D. K. Karmokar, S. Chen, P. Zhao, G. Wang, L. Peng, "Backward-to-forward wide-angle fast beam-scanning leaky-wave antenna with consistent gain," IEEE Transactions on Antennas and Propagation, vol. 69, no. 5, pp. 2987 - 2992, May. 2021. 3. Z. Ma, K. Xu*, R. Song, C. -F. Wang and X. Chen, "Learning-based Fast Electromagnetic Scattering Solver through Generative Adversarial Network," IEEE Transactions on Antennas and Propagation, vol. 69, no. 4, pp. 2194 - 2208, April. 2021. 4. Y. Chu, K. Xu*, F. Shen, and G. Wang, "Multiplicatively regularized iterative updated background inversion method for inverse scattering problems," IEEE Geoscience and Remote Sensing Letters., vol. 18, no. 6, pp. 999-1003, June 2021. 5. R. Song, Y. Huang, K. Xu, X. Ye, C. Li and X. Chen, "Electromagnetic inverse scattering with perceptual generative adversarial networks," IEEE Transactions on Computational Imaging, vol. 7, pp. 689-699, 2021, doi: 10.1109/TCI.2021.3093793. 6. Y. Huang, R. Song, K. Xu, X. Ye, C. Li and X. Chen, "Deep learning-based inverse scattering with structural similarity loss functions," IEEE Sensors Journal, vol. 21, no. 4, pp. 4900-4907, 15 Feb.15, 2021, doi: 10.1109/JSEN.2020.3030321.
2020年
1. K. Xu, L. Wu, X. Ye and X. Chen, "Deep learning-based inversion methods for solving inverse scattering problems with phaseless data," IEEE Transactions on Antennas and Propagation, vol. 68, no. 11, pp. 7457-7470, Nov. 2020. 2. K. Xu, L. Zhang, and Z. Wei, “Fourier bases-expansion contraction integral equation for inversion highly nonlinear inverse scattering problem”, IEEE Transactions on Microwave Theory and Techniques., vol. 68, no. 6, pp. 2206 - 2214, Mar. 2020. 3. L. Zhang, K. Xu*, R. Song, X. Z. Ye, G. Wang and X. Chen, " Learning-based quantitative microwave imaging with a hybrid input scheme," IEEE Sensors Journal, vol. 20, no. 24, pp. 15007-15013, 15 Dec.15, 2020. 4. Lu. Zhang, K. Xu*, Y. Zhong and K. Agarwal, " Solving phaseless highly nonlinear inverse scattering problems with contraction integral equation for inversion," IEEE Transactions on Computational imaging, vol. 6, pp. 1106-1116, July, 2020. 5. M. Tan, J. Zhou, K. Xu*, Z. Peng, and Z. Ma, “Static hand gesture recognition with electromagnetic scattered field via complex attention convolutional neural network,” IEEE Antennas and Wireless Propagation Letters., vol. 19, no. 4, pp. 705 - 709, April. 2020. 6. X. Ye, Y. Bai, R. Song, K. Xu and J. An, "An inhomogeneous background imaging method based on generative adversarial network," IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 11, pp. 4684-4693, Nov. 2020. 7. H. Gan, W. Zhao, L. He, Y. Yu, K. Xu, F. Wen, L. Dong, and G. Wang, "A CSRR-loaded planar sensor for simultaneously measuring permittivity and permeability," IEEE Microwave and Wireless Components Letters, vol. 30, no. 2, pp. 219-221, Feb. 2020, doi: 10.1109/LMWC.2019.2957657. 8. W. Zhao, H. Gan, L. He, Q. Liu, D. Wang, K. Xu, S. Chen, L. Dong, G. Wang, "Microwave planar sensors for fully characterizing magneto-dielectric materials," IEEE Access, vol. 8, pp. 41985-41999, 2020, doi: 10.1109/ACCESS.2020.2977327. 9. Y. Zhong, M. Salucci, K. Xu, A. Polo, and A. Massa, “A multiresolution contraction integral equation method for solving highly nonlinear inverse scattering problems,” IEEE Transactions on Microwave Theory and Techniques., vol. 68, no. 4, pp. 1234 - 1247, 2020. 10. X. Ye, N. Zhang, K. Xu, K. Agarwal, M. Bai, D. Liu, and X. Chen, "Application of subspace-based distorted-born iteration method in imaging biaxial anisotropic scatterer," IEEE Transactions on Computational Imaging, vol. 6, pp. 1486-1492, 2020, doi: 10.1109/TCI.2020.3032673. 11. Q. Zhang, D. Ma, X. Tang, G. Zhang, Z. Zhan, K. Xu, X. Ye, Y. Sun and R. Murch, "1-D frequency-diverse single-shot guided-wave imaging using surface-wave Goubau line," IEEE Transactions on Antennas and Propagation, vol. 68, no. 4, pp. 3194-3206, 2020. 12. S. Chen, F. Zhou, K. Xu, P. Zhao, Y. Yang, X. Zhu, and G. Wang, "A Portable Microwave Interferometry Sensor for Permittivity Detection Based on CCMRC," IEEE Access, vol. 8, pp. 140323-140332, 2020, doi: 10.1109/ACCESS.2020.3007783. 13. F. Shen, H. Li, K. Xu, T. Zhou, N. M. Idrees, C. Li, and L. Ran, “Induction logging through casing by detecting lateral waves: a numerical analysis,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2937 - 2946, 2020. 14. T. Zhou, H. Li, K. Xu, Q. Lv, and T. Denidni, " Experimental investigation on subwavelength imaging with temporal–spatial random illuminations," IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 1, pp. 2659-2661, 2020.
2019年
1. Y. Chu, K. Xu*, Y. Zhong, X. Ye, T, Zhou, X. Chen, and G. Wang, “Fast microwave through wall imaging method with inhomogeneous background based on Levenberg-Marquardt algorithm”, IEEE Transactions on Microwave Theory and Techniques., vol. 67, no. 3, pp. 1138 - 1147, March, 2019. 2. L. Dong, Z. Qiao, H. Wang, W. Yang, W. Zhao, K. Xu, G. Wang, L. Zhao, and H. Yan, “The gas leak detection based on a wireless monitoring system,” IEEE Transactions on Industrial Informatics., vol. 15, no. 12, pp. 6240 - 6251, 2019. 3. H. Li, C. Ma, F. Shen, K. Xu, D. Ye, J. Huangfu, C. Li, L. Ran, and T. A. Denidni, "Wide-angle beam steering based on an active conformal metasurface lens," IEEE Access, vol. 7, pp. 185264-185272, 2019, doi: 10.1109/ACCESS.2019.2960639. 4. Z. Gu, J. Wang, F. Shen, K. Xu, D. Ye, J. Huangfu, C. Li, and L. Ran, “Blind separation of doppler human gesture signals based on continuous-wave radar sensors,” IEEE Transactions on Instrumentation and Measurement., vol. 68, no. 7, pp. 2659 - 2661, 2019. 5. T. Zhou, F. Shen, K. Xu, Z. Tang, J. Wang, B. Zhang, D. Ye, J. Huangfu, C. Li, and L. Ran, “Microwave imaging customized on demand under random field illumination”, IEEE Transactions on Microwave Theory and Techniques., vol. 67, no. 3, pp. 1148 - 1156, 2019. 6. T. Zhou, F. Shen, Q. Meng, H. Li, K. Xu, D. Ye, J. Huangfu, S. Dong, T. A. Denidni and L. Ran, "Towards real-time through-obstacle imaging based on compressed sensing for sparse objects," IET Microwaves, Antennas & Propagation, vol. 13, no. 13, pp. 2290-2296, 30 10 2019, doi: 10.1049/iet-map.2019.0238.
2018年
1. K. Xu, Y. Zhong, X. Chen and D. Lesselier, “A fast integral equation-based method for solving electromagnetic inverse scattering problems with inhomogeneous background,” IEEE Transactions on Antennas and Propagation., vol. 66, no. 8, pp. 4228-4239, May, 2018. 2. K. Xu, Y. Zhong, and G. Wang, “A hybrid regularization technique for solving highly nonlinear inverse scattering problems,” IEEE Transactions on Microwave Theory and Techniques., vol. 66, no. 1, pp. 11-21, Jan, 2018. 3. K. Xu, Y. Liu, S. Chen, P. Zhao, L. Peng, L. Dong, and G. Wang “Novel microwave sensors based on split ring resonators for measuring permittivity,” IEEE access., vol. 6, pp. 26111 - 16120, May, 2018. 4. K. Xu, Y. Liu, L. Dong, L. Peng, S. Chen, F, Shen, X. Ye, X. Chen and G. Wang, “Printed multi-band compound meta-loop antenna with hybrid-coupled split ring resonators,” IET Microwaves, Antennas & Propagation., vol. 12, no. 8, pp. 1-8, Jun, 2018. 5. X. Qi, L. Chen, K. An, J. Wang, C. Ma, B. Zhang, K. Xu, H. Li, D. Ye, J. Huangfu, C. Li, and L. Ran “Wireless indoor positioning with vertically uniform alternating magnetic fields,” IEEE Transactions on Instrumentation and Measurement., vol. 67, no. 11, pp. 2733 - 2735, Aug, 2018. 6. X. Qi, L. Chen, K. An, J. Wang, B. Zhang, K. Xu, D. Ye, C. Li, and L. Ran “Bioinspired in-grid navigation and positioning based on an artificially established magnetic gradient,” IEEE Transactions on Vehicular Technology., vol. 67, no. 11, pp. 10583 - 10589, Aug, 2018. 7. S. Chen, M. Guo, K. Xu, P. Zhao, L. Dong and G. Wang, "A frequency synthesizer based microwave permittivity sensor using CMRC structure," IEEE Access, vol. 6, pp. 8556-8563, 2018, doi: 10.1109/ACCESS.2018.2808362. 8. H. Wang, L. Dong, W. Wei, W. -S. Zhao, K. Xu and G. Wang, "The WSN monitoring system for large outdoor advertising boards based on ZigBee and MEMS sensor," IEEE Sensors Journal, vol. 18, no. 3, pp. 1314-1323, 1 Feb.1, 2018, doi: 10.1109/JSEN.2017.2770324. 9. S. Chen, M. Guo, K. Xu, P. Zhao, Y. Hu, L. Dong, and G. Wang, "A Dielectric Constant Measurement System for Liquid Based on SIW Resonator," IEEE Access, vol. 6, pp. 41163-41172, 2018, doi: 10.1109/ACCESS.2018.2857514. 10. L. Peng, S. Sang, Z. Wang, H. Jin, A. Wu, K. Xu, and G. Wang, "Wideband radiation from an offset-fed split ring resonator with Multi-Order resonances," IEEE Antennas and Wireless Propagation Letters, vol. 17, no. 12, pp. 2198-2202, Dec. 2018, doi: 10.1109/LAWP.2018.2871040.
2017年
1. F. Liu, K. Xu*, P. Zhao, L. Dong and G. Wang, “A uniplanar dual-band printed compound loop antenna for WLAN/WiMAX applications,” Electronic Letters., vol. 53, no. 16, pp. 1083-1084, Aug, 2017. 2. K. Xu, F. Liu, L. Peng, W. Zhao, L. Ran, and G. Wang “Multimode and wideband printed loop antenna based on degraded split-ring resonators,” IEEE access., vol. 5, pp. 15561 -15570, Jul, 2017. 3. H. Li, F. Shen, D. Ye, K. Xu, S. Qiao, Y. Sun, W. Zhu, C. Li, and L. Ran, " Theory and Implementation of Scattering-Dark-State Particles at Microwave Frequencies," IEEE Transactions on Antennas and Propagation., vol. 65, no. 12, pp. 7119-7128, Dec, 2017.
2012 - 2016年
1. W. -S. Zhao, J. Zheng, F. Liang, K. Xu, X. Chen and G. Wang, "Wideband modeling and characterization of differential through-silicon vias for 3-D ICs," IEEE Transactions on Electron Devices, vol. 63, no. 3, pp. 1168-1175, March 2016, doi: 10.1109/TED.2016.2516345. 2. K. Xu, Y. Zhong, R. Song, X. Chen and L. Ran, “Multiplicative-regularized FFT twofold subspace-based optimization method for inverse scattering problems,” IEEE Transactions on Geoscience and Remote Sensing., vol. 53, no. 2, pp. 841-850, Feb, 2015. 3. K. Xu, D. Ye, Z. Zhu, J. Huangfu, C. Li and L. Ran, “Analytical beam forming for circularly symmetric conformal apertures,” IEEE Transactions on Antennas and Propagation., vol. 63, no. 4, pp. 1458-1464, 2015. 4. J. Zhao, Z. Zhu, W. Cui, K. Xu, B. Zhang, D. Ye, C. Li and L. Ran, “Power Synthesis at 110-GHz Frequency Based on Discrete Sources,” IEEE Transactions on Microwave Theory and Techniques., vol. 63, no. 5, pp. 1633-1644, May, 2015. 5. K. Xu, H. Li, Z. Zhu, J. Huangfu, C. Li and L. Ran, “Versatile beam forming with concentric excitations based on multiple Sinc/Bessel function distribution,” IEEE Transactions on Antennas and Propagation., vol. 61, no. 8, pp. 4082-4090, 2013. 6. K. Xu, Z. Zhu, H. Li, J. Huangfu, C. Li and L. Ran, “A printed single-layer UWB monopole antenna with extended ground plane stubs,” IEEE Antennas and Wireless Propagation Letters., vol. 12, pp. 237-240, 2013. 7. K. Xu, H. Li, L. Chen, J. Huangfu and L. Ran, “Spherical Bessel function based deterministic beam-forming for spherical-surfaced apertures,” Electronic Letters, vol. 49, no. 14, pp. 863-865, 2013. 8.D. Ye, Z. Wang, K. Xu, H. Li, J. Huangfu, Z. Wang and L. Ran, “Ultra-wideband dispersion control of a metamaterial surface for a perfectly-matched-layer-like absorption,” Physical Review Letters., vol. 111, no. 18, pp. 1974-1978, 2013. 9. D. Ye, Z. Wang, Z. Wang, K. Xu, B. Zhang, J. Huangfu, C. Li, and L. Ran, "Towards experimental perfectly-matched layers with ultra-thin metamaterial surfaces," IEEE Transactions on Antennas and Propagation., vol. 60, no. 11, pp. 5164-5172, 2012.
1. Kuiwen Xu, Lixin Ran,"Ultra-wideband Monople Antenna with Extended Ground Plane Open Section and Semi-elliptical Slot", License Date: May 21, 2014, China, Patent No. CN102738580A, patent No. (ZL201210227131.4); 2. Kuiwen Xu, Lixin Ran,"Design Method of Array Antenna with Circular Aperture Field Distribution Based on Bessel Function", Patent No. CN102683898A, Patent No. (ZL201210136076.8), December 10, 2014, China; 3. Kuiwen Xu, Fei Liu, Wensheng Zhao, Shichang Chen, Liang Peng, Gaofeng Wang, "A mobile phone terminal MIMO dual antenna with extended Full band coverage", National Invention Patent, Authorization Date: June 18, 2019, Authorization Publication number: CN106099348A, patent number (ZL201610551241.4); 4. Kuiwen Xu, Yanqing Chu, Wensheng Zhao, Shichang Chen, Peng Zhao, Gaofong Wang, An Elastic Wave Imaging Method Based on Non-uniform Background Media, National Invention Patent, Authorization Date: January 31, 2020, CN109239771B, Patent number (ZL201810906598.9); 5. Kuiwen Xu, Yang Liu, Wensheng Zhao, Shichang Chen, Peng Zhao, Gaofeng Wang, "A Method to Improve the Impedance of Ring Antenna and Extend the Frequency Band Based on SRRs", National Invention Patent, Licensing Day: June 30, 2020, the authorization number CN107317114B, patent number (ZL201710358569.9); 6. Wei Zhang, Kuiwen Xu, Peng Zhao, Gaofeng Wang, "Broadband High-isolation MIMO Loop Antenna Based on Electromagnetic Coupling", National Invention Patent, Announcement Date: 01/05/2021, CN109149106B, Patent number (ZL201810709972.6); 7. Kuiwen Xu, Yang Liu, Wensheng Zhao, Shichang Chen, Peng Zhao, Gaofeng Wang, "A Micro Double-layer magnetically coupled Microwave Sensor for Measuring dielectric Constant", National Invention Patent, Licensing Day: April 20, 2021, CN108872710B, Patent number (ZL201810419905.0); 8. Kuiwen Xu, Yang Liu, Wensheng Zhao, Shichang Chen, Peng Zhao, Gaofeng Wang, "A Micro three-layer magnetically coupled Microwave Sensor for Measuring dielectric constant", National Invention Patent, Licensing Day: April 20, 2021, CN108872266B, Patent number (ZL201810419931.3); 9. Kuiwen Xu, Yang Liu, Wensheng Zhao, Shichang Chen, Peng Zhao, Gaofong Wang, "A Differential Microwave Sensor for Measuring dielectric Constant", National Invention Patent, Announcement Date: April 20, 2021, CN108828321B, Patent number (ZL201810420659.0); 10. Kuiwen Xu, Yanqing Chu, Xiuzhu Ye, Xudong Chen, "A Medical Imaging Method for Early Breast Cancer Detection Based on Electromagnetic Inverse Scattering", National Invention Patent, Authorization Date: April 20, 2021, CN109859173B, Patent number (ZL201910016317.7); 11. Liang Wu, Kuiwen Xu, Zhenchao Ma, Lu Zhang, "A two-step Phase-free Imaging Method for Electromagnetic Inverse Scattering Based on Neural Networks", National Invention Patent, CN111609787B, Patent number (ZL202010471726.9), October 01, 2021; 12. Kuiwen Xu, Hao Jiang, Jiangbo Duan, Yang Liu, "A Novel high-precision dielectric Constant Measurement System Based on Microwave Sensor", National Invention Patent, CN110531165B, Patent number (ZL201910766954.6), November 23, 2021; 13. Kuiwen Xu, Jiangbo Duan, Yang Liu, Zheng Xu, Shichang Chen, Wensheng Zhao, Peng Zhao, Gaofeng Wang, "A Multi-frequency MIMO Terminal Antenna Based on Floor Radiation Mode", National Invention Patent, Licensing Day: September 08, 2020, the authorization number CN108847526B, patent number (ZL201810540045.6); 14. Hao Jiang, Kuiwen Xu, Quan Wang, "A Beam High Scanning Rate Antenna Based on Microstrip Line Structure", National Invention Patent, Authorization Date: April 01, 2022, CN111509392B, Patent number (ZL202010381490.X); 15. Kuiwen Xu, Hao Jiang, Quan Wang, "A one-dimensional Planar Periodic Leaky wave Antenna Based on Microstrip line Structure", National Invention Patent, Announcement Date: Apr. 1, 2022, CN111509393B, Patent number (ZL202010381975.9); 16. Liang Wu, Kuiwen Xu, Lu Zhang, Zhenchao Ma, "A Method for Phase Recovery of Scattered Field Based on Convolutional Neural Networks", National Invention Patent, August 05, 2022, CN111610374B, Patent number (ZL202010471615.8); 17. Kuiwen Xu, Hao Jiang, Jiangbo Duan, Yang Liu, "Microwave Sensor for Measuring Dielectric Constant Based on SIW-CSRR", National Invention Patent, Authorization Date: May 13, 2022, CN110531164B, Patent number (ZL201910766950.8); 18. Kuiwen Xu, Quan Wang, Jiangbo Duan, Liang Peng," A High Scanning Code Rate leaky Wave Antenna Based on Metamaterial Unit", National Invention Patent, Authorization Date: July 29, 2022, CN112768921B, Patent number (ZL202011617947.9);
1. Young Scientist Award of ACES-China 2022 2. Hangzhou Dianzi University Backbone Teacher Support Program in 2017 3. Talent Project of Zhejiang Association for Science and Technology under Gant SKX201901 in 2019 4. Huzhou 1112 Engineering Talent Plan in 2019 5. "Qianjiang Scholars in Hangzhou dianzi University" Outstanding Youth Award in 2022.
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