Romuald Rzadkowski | Signal Processing | Best Researcher Award

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Prof. Romuald Rzadkowski | Signal Processing | Best Researcher Award

Head of Aeroelastic Department at Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Poland

Professor Romuald Rzadkowski is a renowned figure in the field of fluid mechanics and turbomachinery, recognized for his extensive research contributions and academic leadership. As a full professor and the Head of the Aeroelastic Department at the Institute of Fluid-Flow Machinery, Polish Academy of Sciences in Gdansk, he has spent decades advancing the science of unsteady aerodynamics, structural dynamics, and diagnostics in rotating machinery. In his career, he has authored over 200 scientific papers, written 20 books, and edited two, influencing both theoretical frameworks and industrial applications. His academic involvement is complemented by service as Vice-Editor of the Journal of Vibration Engineering and Technologies and an active role in organizing the VETOMAC conference series.

Profile

Scopus

Education

Professor Rzadkowski holds dual Master’s degrees, reflecting his interdisciplinary expertise. He earned an MSc in Engineering from the Gdansk University of Technology in 1978 and later completed an MSc in Mathematics at the University of Gdansk in 1983. These foundational studies established a strong base in both applied mechanics and theoretical analysis. He continued his academic journey by obtaining a PhD in 1988 from the Institute of Fluid-Flow Machinery at the Polish Academy of Sciences, followed by a Doctor of Science (DSc) degree in 1998 from the same institution. This academic progression underscores his commitment to deepening scientific understanding across fluid dynamics and structural mechanics.

Experience

Since joining the Institute of Fluid-Flow Machinery at the Polish Academy of Sciences in 2004 as a full professor, Professor Rzadkowski has led the Aeroelastic Department with a focus on cutting-edge research and innovation in turbomachinery. His career spans decades of experience not only in academia but also in collaborative industrial research. He is a Fellow of the International Federation for the Promotion of Mechanism and Machine Science (IFToMM) and actively contributes to the ASME Committee on Structures and Dynamics. His mentorship has guided 14 doctoral candidates to successful dissertations, cultivating the next generation of researchers. Moreover, his leadership in organizing major international conferences highlights his dedication to knowledge dissemination and global collaboration.

Research Interest

Professor Rzadkowski’s research interests lie at the intersection of fluid dynamics and mechanical engineering, particularly in the dynamics of turbomachinery. His work has significantly contributed to the understanding of life estimation of turbine blades under operational stress conditions, both steady and unsteady. He is a pioneer in analyzing and mitigating flutter and nonsynchronous vibrations in turbine stages and has developed innovative signal processing techniques, including tip-timing algorithms, for monitoring and diagnosing complex rotor systems. His contributions extend to the development of systems that assess and predict remaining component life following mechanical failures, making his work valuable for both academic and industrial stakeholders in the energy sector.

Award

Throughout his illustrious career, Professor Rzadkowski has been recognized for his scientific excellence and international impact. While specific awards are not detailed here, his election as a Fellow of IFToMM and his involvement in the ASME Committee on Structures and Dynamics speak to his global reputation and recognition among peers. His role as a Vice-Editor and conference organizer further illustrates the esteem in which he is held in the scientific community.

Publication

Among his recent notable publications are:

  1. Multimode Tip-Timing Analysis of Steam Turbine Rotor Blades, IEEE Sensors Journal, 2023 – cited by 19 articles.

  2. Nonsynchronous Rotor Blade Vibrations in Last Stage of 380 MW LP Steam Turbine at Various Condenser Pressures, Applied Sciences (Switzerland), 2022 – cited by 18 articles.

  3. An Optimal Parameter Identification Approach in Foil Bearing Supported High-Speed Turbocharger Rotor System, Archive of Applied Mechanics, 2021 – cited by 14 articles.

  4. Computational Fluid Dynamics Analysis of Several Designs of a Curtis Wheel, Archives of Thermodynamics, 2021 – 0 citations.

  5. Computational Fluid Dynamics Analysis of 1 MW Steam Turbine Inlet Geometries, Archives of Thermodynamics, 2021 – cited by 5 articles.

  6. Design and Investigation of a Partial Admission Radial 2.5-kW Organic Rankine Cycle Micro-Turbine, Archives of Thermodynamics, 2021 – cited by 19 articles.

  7. Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down, Archives of Thermodynamics, 2021 – cited by 19 articles.

Conclusion

Professor Romuald Rzadkowski’s academic and research legacy is a testament to his lifelong commitment to solving some of the most challenging problems in turbomachinery and structural dynamics. Through innovative methods in unsteady flow modeling, signal diagnostics, and failure life estimation, he has significantly enhanced the predictive maintenance and safety standards of rotating machinery. His influence is further magnified through his extensive publication record, global collaborations, editorial leadership, and dedicated mentorship. As a thought leader in his field, he continues to shape the future of aeroelastic research and mechanical diagnostics with both academic rigor and industrial relevance.

Min-Seok Kang | Signal processing | Best Researcher Award

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Assoc. Prof. Dr. Min-Seok Kang | Signal processing | Best Researcher Award

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.