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Kun-Shan Chen (Fellow, IEEE) received the Ph.D. degree in electrical engineering from The University of Texas at Arlington, in 1990.
From 1992 to 2014, he was a Professor with National Central University, Taiwan. Since 2014, he has been with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China. In 2019, he joined the Guilin University of Technology, as a full-time Professor. He has authored or coauthored over 150 refereed journal articles, contributed ten book chapters, coauthored (with A. K. Fung) Microwave Scattering and Emission Models for Users (Artech House, 2010), authored Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach (CRC Press, 2015), and co-edited (with X. Li, H. Guo, and X. Yang) Advances in SAR Remote Sensing of Oceans (FL, USA: CRC Press, 2018). His research interests include electromagnetic wave scattering and emission, microwave remote sensing theory and modeling, system measurements and calibration, and more recently, intelligent signal processing and data analytics for radar. He served as a member of the Editorial Board for the Proceedings of the IEEE, from 2014 to 2019. He was the Co-Chair of the Technical Committee of IGARSS 2016 and IGARSS 2017. His academic activities include as the Guest Editor of IEEE Transactions on Geoscience and Remote Sensing Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring and Assessment, in 2007, and the Proceedings of the IEEE Special Issue on Remote Sensing for Natural Disaster, in 2012, an IEEE GRSS Adcom Member, from 2010 to 2014, the Founding Chair of the GRSS Taipei Chapter, an Associate Editor of IEEE Transactions on Geoscience and Remote Sensing, since 2000, and the founding Deputy Editor-in-Chief of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, from 2008 to 2010. He serves as the Guest Editor of the Special Issue of Data Restoration and Denoising of Remote Sensing Data, and the Special Issue of Radar Imaging Theory, Techniques, and Applications, both for Remote Sensing.
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Derek Abbott, Sonia Aissa,Anuradha Annaswamy,Nirwan Ansari, Jun Cai,Kun-Shan Chen,Yixin Chen, J.-C. Chiao,Ayman El-Baz, Shaikh Fattah, Hoay Gooi, Maya Gokhale,
IEEE Access (2024): i-xi
Derek Abbott, Sonia Aissa,Anuradha Annaswamy,Nirwan Ansari, Jun Cai,Kun-Shan Chen,Yixin Chen, J.-C. Chiao,Ayman El-Baz, Shaikh Fattah, Hoay Gooi, Maya Gokhale,
IEEE Access (2024): i-xi
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