About
Hi! I’m Haihan Sun, an Assistant Professor at the University of Wisconsin-Madison. My research interests lie in applied electromagnetics, with a particular emphasis on two main areas: intelligent microwave sensing and non-destructive testing technologies and antenna systems for wireless communications .
News
2024/08 | Welcome Taorui, Yuki, and Zifan to our team! |
2024/07 | Our undergraduate research assistant Chi Wang has been awarded the 2024 IEEE Antennas and Propagation Society (AP-S) Undergraduate Summer Research Scholarship. Congratulations Chi! |
2024/07 | Our journal paper “MAPD-Net: A GPR-Based Method for Estimating Rebar Parameters and Concrete Moisture Content” is accepted by IEEE Geoscience and Remote Sensing Letters. |
2024/07 | We presented our work on “MPA-Net: A Deep Learning Model for Estimating Rebar Parameters Based on GPR Data” and "Characteristic-Mode-Guided Suppression of Cross-Band Scattering and Coupling in Antenna Array" at the 2024 IEEE AP-S/URSI conference. |
2024/07 | I presented our work on “Monitoring Early-Stage Corrosion Damage Using a MIMO GPR Array" at the 2024 IEEE International Geoscience and Remote Sensing Symposium. |
2024/04 | I have been appointed as an Associate Editor for the IEEE Antennas and Wireless Propagation Letters. |
2024/03 | Our journal paper “Early Detection of Corrosion Damage in Reinforced Concrete Using GPR Array Imaging Method” is accepted by IEEE Transactions on Instrumentation and Measurement. |
2024/02 | I have contributed a paper entitled "Advancing Women in Engineering: What Early-Career Researchers Have to Say" to the Women in Engineering (WiE) column in IEEE Antennas and Propagation Magazine. |
2023/11 | I have been selected as one of the 2024 IEEE Antennas and Propagation Society Young Professional Ambassadors. [link] |
2023/09 | I have been appointed as an Associate Editor for the IEEE Open Journal of Antennas and Propagation. |
2023/08 | Our journal paper “Corrosion Damage Detection in Reinforced Concrete Using Rayleigh Wave-Based Method” is accepted by Cement and Concrete Composites. |
2023/08 | I joined the Department of Electrical and Computer Engineering, University of Wisconsin-Madison as an Assistant Professor =) |
2023/07 | I had the honor of chairing the session “Localization and Estimation Techniques in Sensing and Communications” at the 2023 IEEE AP-S/URSI conference. At the same conference, I delivered an invited talk “Advancing Diversity, Equity, and Inclusion in the IEEE Antenna and Propagation Society: An Early-Career Researcher’s Perspective”, and also presented my research on “Ground Penetrating Radar Techniques for Estimating the Diameter of Reinforcing Bars in Concrete”. |
2023/07 | I presented my research on “Dual-Polarized Ground-Penetrating Radar Method for Sizing Reinforcing Bars” at the 12th International Workshop on Advanced Ground Penetrating Radar. |
2023/05 | Our journal paper “3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data Inversion” is accepted by IEEE Transactions on Geoscience and Remote Sensing. |
2023/01 | Our journal paper “Diameter Estimation of Cylindrical Metal Bar Using Wideband Dual-Polarized Ground-Penetrating Radar” is accepted by IEEE Transactions on Instrumentation and Measurement. |
2022/11 | Our journal paper “Estimating the Diameter of Reinforcing Bars Using an Ultra-Wideband MIMO GPR Array” is accepted by Construction and Building Materials. |
2022/11 | Our conference paper “Clutter Removal in Ground-Penetrating Radar Images Using Deep Neural Networks” received Young Professional Paper Honorable Mention at 2022 International Symposium on Antennas and Propagation (ISAP) in Sydney, Australia. |
2022/07 | Our journal paper “A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects” is accepted by IEEE Geoscience and Remote Sensing Letters. |
2022/05 | Our journal paper “DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil Conditions” is accepted by IEEE Transactions on Antennas and Propagation. |
2022/05 | Our journal paper “Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data” is accepted by IEEE Transactions on Geoscience and Remote Sensing. |