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Dr. Lesia Dubchak is a distinguished computer scientist, academic leader, and researcher from Ukraine, currently serving as the Head of the Department of Computer Engineering at West Ukrainian National University (ZUNU). With a strong interdisciplinary background in mathematics, computer systems, and information security, her career reflects a sustained commitment to advancing both theoretical and applied aspects of computer engineering. She graduated with honors in Mathematics and Basics of Informatics from Ternopil State Pedagogical University in 2003, and subsequently earned a second honors degree in Computer Systems and Networks from the Master’s Training Center of the Ternopil Academy of National Economy in 2004. Dr. Dubchak began her professional career in 2002 as an engineer at the Regional Computer Center of ZUNU, followed by a research internship in information technology security. Her academic progression has been marked by continuous growth, serving as Lecturer, Senior Lecturer, Associate Professor, and, since 2022, Head of the Department of Computer Engineering. In 2013, she successfully defended her PhD thesis titled “Access Control Methods and Tools in Computer Systems Based on Fuzzy Logic,” which laid the foundation for her long-term research focus on intelligent security systems. She was awarded the academic title of Associate Professor in 2021 in recognition of her teaching excellence and scholarly contributions. Dr. Dubchak’s research interests span information security, fuzzy logic, artificial intelligence, image processing, and intelligent data analysis. A central theme of her work is the development of adaptive access control and decision-making models using fuzzy logic and AI-based approaches, addressing challenges in modern distributed and heterogeneous computing environments. She has actively participated in numerous state-funded and contract-based research projects, contributing innovative solutions with both academic and practical relevance.
Professor Zheng Kuncan is a distinguished scholar in the field of power engineering and engineering thermophysics, with long-standing contributions to fluid mechanics, heat transfer, and mass transfer research and education. Sichuan Province, He obtained his Ph.D. in Power Engineering and Engineering Thermophysics from the University of Science and Technology Beijing . He is currently a Professor and Master’s Supervisor at the School of Energy and Environment, Inner Mongolia University of Science and Technology, where he has played a pivotal role in advancing both teaching excellence and frontier research. Professor Zheng has been deeply engaged in the mechanisms and applications of flow, heat transfer, and mass transfer processes, with particular emphasis on turbulence and complex flow systems. Centered on the core foundational course Fluid Mechanics, he has led a series of high-impact teaching reforms and achievements. These include the development of a National Undergraduate Offline First-Class Course, an Autonomous Region Blended First-Class Course, and a Curriculum Ideology and Politics Demonstration Course with an award-winning teaching team, several of which were recommended for national-level recognition. His innovative teaching practices have also been recognized through multiple prizes in national and regional competitions, including a National Special Prize and First Prize in the Zhihuishu Course Case Competition, as well as multiple First Prizes in Autonomous Region innovation competitions.
Dr. Jian Yu is an accomplished materials chemist and Associate Professor in the School of Environmental and Chemical Engineering at Nanchang Hangkong University, China, with a strong research focus on surface-enhanced Raman scattering (SERS) spectroscopy and its applications in environmental monitoring and biosensing. He obtained his Ph.D. in Chemistry from Beihang University in 2020 under the supervision of Prof. Lin Guo, where he developed a solid foundation in nanomaterials synthesis, interfacial charge transfer, and spectroscopic analysis. Following his doctorate, Dr. Yu continued at Beihang University as a postdoctoral researcher from 2020 to 2023, further strengthening his expertise in advanced functional nanomaterials and analytical sensing technologies. Dr. Yu’s research centers on the rational design and controlled construction of high-sensitivity SERS substrates, particularly semiconductor-based and amorphous nanostructured materials. A key innovation of his work lies in engineering photo-induced charge transfer processes to overcome the limitations of traditional noble-metal SERS substrates. Through the development of three-dimensional amorphous molybdenum-based nanocages and amorphous molybdenum sulfide systems, he has achieved ultrahigh Raman enhancement factors of up to 10⁶ and ultra-low detection limits down to 10⁻¹⁰ M. These advances significantly expand the sensitivity, stability, and reproducibility of SERS detection platforms. Dr. Yu has successfully applied these novel SERS systems to a wide range of real-world challenges, including the detection of emerging environmental pollutants, volatile organic compounds (VOCs), and biologically relevant molecules. His work has demonstrated accurate discrimination of tumor cells and sensitive identification of trace-level contaminants, highlighting the strong translational potential of his research in environmental safety, public health, and biomedical diagnostics. His ongoing project on the controlled construction of three-dimensional amorphous molybdenum-based nanocages for SERS detection of emerging pollutants reflects his commitment to addressing pressing environmental issues through innovative spectroscopy technologies.
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Hanting Zhao is a researcher specializing in intelligent metasurfaces, passive wireless communication, and integrated sensing and communication. His work focuses on leveraging programmable metasurfaces to enable low-cost, energy-efficient wireless sensing, imaging, and secure communication using non-cooperative signals such as Wi-Fi. He has proposed holistic optimization frameworks that tightly integrate electromagnetic hardware with data-driven algorithms, achieving advances in microwave imaging, backscatter communication, and intelligent wireless environments. His research has been published in leading journals including Nature Electronics, Nature Communications, and National Science Review, and has received multiple academic and technical awards.
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