Associate Professor at Kongju National University, South Korea
Min-Seok Kang, Ph.D., is an accomplished researcher and academic in the field of electrical engineering, specializing in microwave remote sensing, synthetic aperture radar (SAR) imaging, and signal processing. Currently an Associate Professor at Kongju National University, he has made significant contributions to the fields of SAR imaging, inverse SAR (ISAR) imaging, and interferometric SAR (InSAR) signal processing. His expertise extends to antenna array pattern synthesis, compressive sensing, and optimization theory, advancing state-of-the-art radar and imaging technologies.
Profile
Scholar
Education
Dr. Kang earned his Ph.D. in Electrical Engineering from the Pohang University of Science and Technology (POSTECH) in 2019, where he specialized in SAR and ISAR signal processing. His doctoral research, under the supervision of Prof. Kyung-Tae Kim, focused on developing advanced radar imaging techniques for various configurations. He previously obtained his M.S. in Electrical Engineering from POSTECH in 2015, with research on ISAR autofocus techniques, and a B.S. in Electrical and Computer Engineering from Ajou University in 2013, graduating summa cum laude.
Professional Experience
Dr. Kang has a distinguished career in both academia and research institutions. Before his current role as an Associate Professor, he served as an Assistant Professor at Kongju National University from 2020 to 2024. His early career included a tenure as a Senior Researcher at the Agency for Defense Development (ADD), where he contributed to advanced radar imaging and defense-related research. His experience in academia and industry has positioned him as a leading expert in high-resolution radar imaging and remote sensing applications.
Research Interests
Dr. Kang’s research interests span a broad range of topics in remote sensing and radar technology. His primary focus areas include microwave remote sensing, SAR and ISAR imaging, compressive sensing, deep learning for radar signal processing, and antenna array optimization. His work aims to enhance the accuracy and efficiency of radar-based imaging systems, with applications in defense, aerospace, and environmental monitoring. His contributions to synthetic aperture radar imaging have been widely recognized in the scientific community.
Awards and Honors
Dr. Kang has received several prestigious awards, including the IEEE Senior Member Grade Elevation in 2023, the Best Paper Award at the KIEES Summer Conference in 2021, and the Outstanding Doctoral Dissertation Award from POSTECH in 2019. Additionally, he was recognized in Marquis Who’s Who in the World in 2018 and has received multiple best paper awards from IEEE and KIEES. His excellence in research has been acknowledged through numerous academic scholarships and recognition for his contributions to radar signal processing.
Publications
Kang, M.-S., & Baek, J.-M. (2023). “SAR Image Reconstruction via Incremental Imaging with Compressive Sensing.” IEEE Transactions on Aerospace and Electronic Systems, 59(4), 4450-4463.
Baek, J.-M., & Kang, M.-S. (2023). “A Synthesized Sliding-mode Control for Attitude Trajectory-tracking of Quadrotor UAV Systems.” IEEE/ASME Transactions on Mechatronics, 28(4), 2189-2199.
Kang, M.-S., & Baek, J.-M. (2022). “Efficient SAR Imaging Integrated with Autofocus via Compressive Sensing.” IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
Kang, M.-S., & Baek, J.-M. (2022). “Efficient and Accurate Synthesis for Array Pattern Shaping.” Sensors, 22(15), 5537.
Kang, M.-S., & Kim, K.-T. (2020). “Automatic SAR Image Registration via Tsallis Entropy and Iterative Search Process.” IEEE Sensors Journal, 20(14), 7711-7720.
Kang, M.-S., & Kim, K.-T. (2020). “Ground Moving Target Imaging Based on Compressive Sensing Framework With Single-Channel SAR.” IEEE Sensors Journal, 20(3), 1238-1250.
Kang, M.-S., & Kim, K.-T. (2019). “Compressive Sensing based SAR Imaging and Autofocus using Improved Tikhonov Regularization.” IEEE Sensors Journal, 19(14), 5529-5540.
Conclusion
Dr. Min-Seok Kang’s exceptional academic background, extensive research contributions, professional experience, and recognition in the field of electrical engineering make him a highly deserving candidate for the Best Researcher Award. His pioneering work in radar imaging and signal processing continues to influence advancements in both academia and industry, solidifying his reputation as a leading researcher in his field.