Lingyu Ai | Optoelectronic Information | Best Researcher Award

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Prof. Lingyu Ai | Optoelectronic Information | Best Researcher Award

Associate Professor at Jiangnan university, China

Lingyu Ai is an Associate Professor at Jiangnan University with deep expertise in 3D imaging and display technologies. Her work has significantly contributed to advancing large-scale naked-eye 3D display systems and interdisciplinary applications in AR/VR and biomedical imaging. She is a committee member of the 3D Imaging and Display Professional Committee and has been widely recognized for her leadership in engineering innovation. Her academic path and project achievements reflect a strong commitment to applying engineering solutions to real-world visualization challenges, earning her respect in both academic and industrial communities.

Profile

Scopus

Education

Lingyu Ai earned her Ph.D. in Electronic Engineering from the Holodigilog Human Media Research Center at Kwangwoon University, South Korea. During her doctoral studies, she was mentored by Professor Eun-Soo Kim, a distinguished scientist and recipient of the Korean Presidential Award. Her educational background laid a solid theoretical and experimental foundation for her later pursuits in optical systems, imaging, and digital media technologies. Her international education experience has equipped her with a global perspective and advanced methodologies in the development of 3D display systems.

Experience

Since completing her doctoral studies, Ai has established herself as a leading academic and researcher in 3D visualization. At Jiangnan University, she has led and participated in five national-level projects, including those funded by the National Natural Science Foundation and the Ministry of Science and Technology’s Foreign Expert Program. Her research is characterized by its strong applicability and commercial potential, particularly in designing deployable 3D imaging systems and display technologies. Her experience spans interdisciplinary domains including electronics, optics, artificial intelligence, and biomedical engineering. Notably, her research results have not only been published but also transformed into demonstrable, market-ready technologies that have garnered industry acclaim.

Research Interests

Professor Ai’s primary research interests lie in the development of large-scale naked-eye 3D displays, subwavelength structure modeling, and 3D imaging systems tailored for chip inspection and biomedical applications. She also explores positioning and attitude estimation techniques for AR/VR, circuit miniaturization, and digital content generation. A significant focus of her current work involves integrating subwavelength structure diffraction models with deep learning algorithms to solve complex inverse diffraction problems. Her long-term research goal is to establish a world-leading 3D imaging and display research team capable of producing cutting-edge equipment with billion-level industrial impact. She continues to investigate how deep learning can enhance physical model-driven imaging, laying the groundwork for future innovations in metasurface lens design and flexible 3D displays.

Awards

Lingyu Ai has received two second-class awards for scientific and technological innovation at the municipal level or higher. These honors recognize her substantial contributions to the advancement of optical imaging and display technologies and highlight her role in fostering interdisciplinary technological integration. Her ability to bridge theoretical research with practical implementation has made her a standout figure in the scientific community. The recognition also underscores her capacity to lead complex projects with wide-reaching commercial and societal impact.

Publications

  • Title: Nanometer-scale wafer surface defect measurement based on state-space digital holographic microscopy
    Authors: Shengcheng Geng, Lingyu Ai, Yujia Gao, Myungjin Cho, Kanghee Won

  • Title: Generating real-scene hologram through light field imaging and deep learning
    Authors: Rui Wang, Lingyu Ai, Yinghui Wang, Yuqing Ni, Myungjin Cho

Conclusion

Lingyu Ai exemplifies the fusion of interdisciplinary research and engineering innovation. Her academic foundation in electronic engineering, combined with her applied research in 3D imaging and visualization technologies, has positioned her as a leader in the digital optics and AR/VR domain. Through a combination of national research leadership, strong publication record, and technological innovation, she has built a reputation for advancing frontier technologies into practical solutions. Her trajectory continues to shape the future of display systems, offering transformative impacts across digital economy sectors such as visual IoT, medical diagnostics, and immersive computing.

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.