Neal Lester | Arts and Humanities | Best Scholar Award

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Prof. Dr. Neal Lester | Arts and Humanities | Best Scholar Award

Professor of English at Arizona State University | United States

Prof. Dr. Neal Lester is a distinguished Foundation Professor of English and Founding Director of Project Humanities at Arizona State University, recognized internationally for his transformative contributions to arts, humanities, and cultural studies. He earned his Ph.D. and M.A. in English from Vanderbilt University and his B.A. in English from West Georgia College, graduating as valedictorian. Throughout his extensive academic career, Prof. Dr. Neal Lester has held multiple leadership roles, including Dean of Humanities and Associate Vice President in the Office of Knowledge Enterprise Development at Arizona State University. His research expertise spans African American literature, cultural appropriation, racial and gender identity politics, privilege and bias, diversity, Black masculinities, and representations in children’s literature and popular culture. As the Founding Director of Project Humanities, he has built an influential platform that integrates scholarship, public engagement, and social responsibility creating dialogues that bridge academia and community through empathy, integrity, and social awareness. He is the author and editor of several acclaimed works, including Once Upon a Time in a Different World: Issues and Ideas in African American Children’s Literature, Racialized Politics of Desire in Personal Ads, and Social Justice in Action: Models for Campus and Community. His scholarship has been featured in leading journals such as Humanities, The Journal of Popular Culture, Palimpsest, and Callaloo, contributing to ongoing conversations on equity, identity, and representation. With 22 published documents, 70 citations by 69 sources, and an h-index of 4, Prof. Dr. Neal Lester’s academic influence continues to grow across disciplines. His research and teaching demonstrate an enduring commitment to advancing humanities education and promoting inclusion through both intellectual inquiry and civic engagement. As one of the leading voices in contemporary humanities, Prof. Dr. Neal Lester’s career embodies the power of scholarship to foster understanding, challenge bias, and build bridges across diverse communities, ensuring that the humanities remain a vital force in shaping a more compassionate and informed society.

Profile: Scopus | Orcid

Featured Publications:

  • Lester, N. A., & McNeil, E. (2025). Beyond physical and representational violence: The violence of Black children’s invisibility in public spaces. Identities: Global Studies in Culture and Power, 1–19.

  • Lester, N. A. (2024). Beyoncé’s “Break My Soul”: An anthem of courage, resistance, peace, and community. The Journal of Popular Culture, 57(4), 1–16.

  • Lester, N. A. (Ed.). (2024). Social Justice in Action: Models for Campus and Community. New York: Modern Language Association of America.

  • Farrior, C., & Lester, N. A. (2024). Digital blackface: Adultification of Black children in memes and children’s books. Humanities, 13(4), 91.

  • Lester, N. A., & McNeil, E. (2023). Beyond physical and representational violence: Rethinking Black childhood and public space. Public Humanities, 1(1), 12–27.

Wei Zhang | Engineering | Breakthrough Innovator Award

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Prof.Dr.Wei Zhang | Engineering | Breakthrough Innovator Award 

Doctor of Engineering at Civil Aviation University of China | China 

Prof. Dr. Wei Zhang is a distinguished Doctor of Engineering and Professor at the School of Aeronautical Engineering, Civil Aviation University of China, and a leading researcher at the Research Institute of Science and Technology within the same institution. He earned his Doctor of Engineering degree in Mechanical Manufacturing and Automation from Tianjin University between  and joined the Civil Aviation University of China. progressing from lecturer to associate professor and full professor. His academic experience is further enriched by international exposure as a visiting scholar at the Department of Structural and Materials Mechanics, École Supérieure d’Aéronautique et d’Espace (SUPEA), France, and at the Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, USA, during . Over his career,Prof. Dr. Wei Zhang has contributed significantly to civil aviation engineering and intelligent systems, producing 68 publications in indexed journals, 17 authorized patents, 63 documents, 279 citations, and achieving an h-index of 8. His research focuses on airport operation safety, ground mission intelligence for approaching aircraft, robotics with artificial intelligence, and mechanical dynamics. He has successfully led more than 10 national and industry-sponsored research projects, including NSFC-Civil Aviation Joint Fund initiatives, pioneering semi-autonomous aircraft towing systems, automated airport ground operations, and advanced aircraft inspection technologies. Prof. Dr. Wei Zhang’s work bridges theoretical research with practical applications, collaborating with major industry partners such as COMAC and Beijing Capital International Airport, leading to measurable improvements in operational efficiency, safety, and intelligent manufacturing. He holds key leadership positions as Deputy Director of the National Engineering Research Center for Airport Ground Support Equipment, Executive Director of the Civil Aviation Ground Special Equipment Research Base, and Deputy Director of the Key Laboratory of Civil Aviation Smart Airport Theory and Systems, reflecting his significant influence in the field. With his extensive publications, patents, international collaborations, and leadership roles, Prof. Dr. Wei Zhang has established himself as a global authority in civil aviation engineering, advancing the technological frontiers of airport operations, intelligent systems, and aviation safety through innovative research and applied solutions.

Profile: Scopus

Featured Publications:

  1. Zhang, W. (2026). Research on surface fitting technology for aircraft point cloud feature region based on adaptive complete natural segmentation. Robotics and Autonomous Systems.

  2. Zhang, W., [co-authors]. (2025). Model predictive control with real-time variable weight for civil aircraft towing taxi-out control systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

  3. Zhang, W., [co-authors]. (2025). Similarity modeling method for coupling vibration system with energy-regenerative suspension. Jixie Kexue Yu Jishu (Mechanical Science and Technology for Aerospace Engineering).

  4. Zhang, W., [co-authors]. (2025). A novel attitude-variable high acceleration motion planning method for the pallet-type airport baggage handling robot. Machines.

  5. Zhang, W., [co-authors]. (2025). Robust adaptive cascade trajectory tracking control for an aircraft towing and taxiing system. Actuators.

  6. Zhang, W., [co-authors]. (2025). Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties. Engineering Science and Technology: An International Journal.

Pengfei Wei | Computer Science | Best Researcher Award

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Dr. Pengfei Wei | Computer Science | Best Researcher Award 

Senior Engineer at Guangdong University of Technology | China

Dr. Pengfei Wei is a Senior Engineer at Guangdong University of Technology, recognized for his pioneering contributions to the field of computer science, particularly in multimodal learning, knowledge tracing, edge artificial intelligence, and task-oriented dialogue systems. He holds a Ph.D. in Computer Science, where his research focused on integrating deep learning models with practical applications in intelligent education and human–machine interaction. Combining academic rigor with industrial innovation, he brings substantial experience from both enterprise research and academic development, bridging the gap between theory and real-world technology deployment. His work encompasses advanced methods such as visual-enhanced transformers for multimodal named entity recognition, genetic-inspired relation extraction, and the introduction of Kolmogorov–Arnold representations in knowledge tracing, which have improved model interpretability and performance in AI-based learning systems. In addition to his theoretical advancements, he has successfully led projects on real-time lab-safety analytics and large-scale AI deployment using Huawei Ascend, Nvidia, and TPU platforms, contributing to the broader industrial adoption of edge AI technologies. Dr. Pengfei Wei has authored numerous peer-reviewed papers in top-tier international journals and conferences, including Neural Networks, ICMR, and IJCAI, and serves as a reviewer for several prestigious publications such as Neural Networks, Pattern Recognition Letters, AAAI, and IJCNN. His collaborative initiatives with research teams and institutions have fostered multidisciplinary innovation, emphasizing the integration of AI with blockchain, big data, and education systems. A dedicated mentor and research leader, he actively supports student-led research and fosters the development of next-generation AI scholars. His professional memberships with the China Computer Federation (CCF) and the Association for Computing Machinery (ACM) reflect his strong engagement in the global computing community. Dr. Pengfei Wei’s research continues to push the boundaries of multimodal understanding and intelligent systems, driving transformative progress in computational learning and applied artificial intelligence. Through his sustained contributions, he remains committed to advancing the capabilities of intelligent technologies that enhance human productivity, knowledge discovery, and digital transformation.

Profile: Orcid | Google Scholar

Featured Publications:

  • Liao, W., B. Zeng, Yin, X., & Wei, P. (2021). An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa. Applied Intelligence, 51(6), 3522–3533.

  • Liao, W., Zeng, B., Liu, J., Wei, P., Cheng, X., & Zhang, W. (2021). Multi-level graph neural network for text sentiment analysis. Computers & Electrical Engineering, 92, 107096.

  • Liao, W., Zeng, B., Liu, J., Wei, P., & Fang, J. (2022). Image-text interaction graph neural network for image-text sentiment analysis. Applied Intelligence, 52(10), 11184–11198.

  • Liao, W., Zeng, B., Liu, J., Wei, P., & Cheng, X. (2022). Taxi demand forecasting based on the temporal multimodal information fusion graph neural network. Applied Intelligence, 52(10), 12077–12090.

  • Wei, P., Zeng, B., & Liao, W. (2022). Joint intent detection and slot filling with wheel-graph attention networks. Journal of Intelligent & Fuzzy Systems, 42(3), 2409–2420.

  • Wei, P., Ouyang, H., Hu, Q., Zeng, B., Feng, G., & Wen, Q. (2024). VEC-MNER: Hybrid transformer with visual-enhanced cross-modal multi-level interaction for multimodal NER. Proceedings of the International Conference on Multimedia Retrieval (ICMR 2024).

  • Wen, S., Zeng, B., Liao, W., Wei, P., & Pan, Z. (2021). Research and design of credit risk assessment system based on big data and machine learning. Proceedings of the IEEE 6th International Conference on Big Data Analytics (ICBDA 2021), 9–13.

Orchidea Maria Lecian | Theoretical Physics | Best Researcher Award

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Assoc. Prof. Dr.Orchidea Maria Lecian | Theoretical Physics | Best Researcher Award 

Assoc. Prof. Dr at Sapienza University of Rome | Italy

Assoc. Prof. Dr. Orchidea Maria Lecian is a prominent theoretical physicist at Sapienza University of Rome, known for her groundbreaking contributions to General Relativity, Quantum Gravity, Cosmology, and Mathematical Physics. With an academic career marked by excellence, she earned her Ph.D. in Physics from Sapienza University of Rome, where her doctoral research focused on modern approaches to generalized theories of gravity. Over the years, Assoc. Prof. Dr. Orchidea Maria Lecian has held esteemed academic and research positions at leading international institutions, including the Max Planck Institute for Gravitational Physics Albert Einstein Institute, Germany, the Institut des Hautes Études Scientifiques IHES, France, Comenius University in Bratislava Slovakia, and the International Center for Relativistic Astrophysics ICRA, Italy. Her extensive teaching experience covers courses in Applied Physics, Mathematics, Quantum Mechanics, and Relativistic Astrophysics across various faculties, including Engineering, Medicine, and Computer Science. Assoc. Prof. Dr. Orchidea Maria Lecian’s research explores the theoretical foundations and mathematical structures underlying gravitational and cosmological phenomena, with particular emphasis on the deformation of General Relativity, the dynamics of cosmological billiards, the quantum structure of spacetime, and the interplay between astrophysical observations and theoretical models. She has authored 39 scientific documents, which have collectively received 237 citations across 204 scholarly works, achieving an h-index of 7 reflecting her sustained impact in the field. Beyond research, she actively contributes to the scientific community as a reviewer and editorial board member for numerous international journals, including Galaxies, Symmetry, and Frontiers in Physics, and has served as an organizer, chair, and invited speaker at global conferences on cosmology, quantum gravity, and astrophysics. Her interdisciplinary work extends to fields such as optical systems, differential geometry, quantum devices, and applied engineering, showcasing her ability to bridge theoretical insights with practical applications. Through her dedication to academic excellence, collaborative research, and scientific dissemination, Assoc. Prof. Dr. Orchidea Maria Lecian continues to advance the frontiers of theoretical physics and inspire innovation in understanding the complex dynamics of the universe.

Profile: Scopus | Orcid

Featured Publications:

  • Lecian, O. M. (2024). Generalized Schwarzschild spacetimes with a linear term and a cosmological constant. Universe.

  • Lecian, O. M. (2023). The generalised Reissner–Nordstrom spacetimes, the cosmological constant and the linear term. Computation.

  • Lecian, O. M. (2023). The formalism of Milky-Way antimatter-domains evolution. Galaxies.

  • Lecian, O. M. (2015). Deformations of the Hamiltonian constraints in General Relativity. Quantum Gravity Meeting Proceedings, Rome, Italy.

  • Lecian, O. M. (2014). Non-trivial momentum-space structures for General Relativity: A quantum approach. Conceptual and Technical Challenges for Quantum Gravity, Sapienza University of Rome.

  • Lecian, O. M. (2013). Statistical maps for cosmological billiards. Proceedings of the Max Planck Institute for Gravitational Physics, Potsdam-Golm, Germany.

  • Lecian, O. M. (2009). Comparison of the cosmological singularity in the polymer and GUP frameworks. Twelfth Marcel Grossmann Meeting on General Relativity, Paris, France.

Shengze Yan | Agricultural and Biological Sciences | Best Researcher Award

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Mr.Shengze Yan | Agricultural and Biological Sciences | Best Researcher Award 

Assistant Research Fellow at Sanming Academy of Agricultural Sciences | China

Mr. Shengze Yan is an accomplished researcher and Assistant Research Fellow at the Edible Fungi Research Institute of the Sanming Academy of Agricultural Sciences, Fujian Province, China, recognized for his significant contributions to agricultural and biological sciences. With a strong academic foundation in agricultural research, his career focuses on advancing edible fungus cultivation and genetic breeding to improve sustainability and productivity in mushroom farming. Since joining the Sanming Academy of Agricultural Sciences, he has demonstrated exceptional leadership and innovation by leading and participating in 13 provincial and municipal research projects, including the Science and Technology Plan Project of Fujian Province. His research has resulted in the publication of 15 scientific papers in respected national and international journals, showcasing his expertise in molecular biology, genetic analysis, and fungal physiology. Among his notable achievements is the development and patenting of a novel cultivation method for Stropharia rugosoannulata using fermentation tunnels, a breakthrough that enhances resource efficiency and production yields. His published work, “Transcriptome Analysis Reveals Critical Genes Involved in the Response of Stropharia rugosoannulata to High Temperature and Drought Stress,” highlights his commitment to understanding environmental stress responses in fungi and developing adaptive strategies for sustainable agriculture. Mr. Shengze Yan’s research interests extend to the exploration of genetic and molecular mechanisms underlying fungal adaptation, innovation in cultivation technologies, and the integration of biological research with agricultural applications for climate resilience and food security. His work exemplifies the intersection of science and sustainability, aiming to contribute to global agricultural development and ecological balance. Through his dedication to excellence in research, innovation, and collaboration, Mr. Shengze Yan continues to play a pivotal role in advancing the frontiers of agricultural biotechnology, promoting sustainable food systems, and contributing valuable insights that strengthen the scientific understanding of edible fungi in a rapidly changing world.

Profile: Orcid

Featured Publications:

Yan, S.; Wang, S.; Zhan, M.; Huang, X.; Xie, T.; Wang, R.; Lu, H.; Luo, Q.; Ye, W. (2025). Transcriptome Analysis Reveals Critical Genes Involved in the Response of Stropharia rugosoannulata to High Temperature and Drought Stress. Current Issues in Molecular Biology.

Lixiang Chen | Management and Accounting | Best Researcher Award

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Ms. Lixiang Chen | Management and Accounting | Best Researcher Award  

Industry Innovation at Taiyuan Institute of Technology | China

Ms. Lixiang Chen is a highly accomplished academic and researcher specializing in economics and management, with a focus on trade, innovation, and defense economics. She currently serves as a Lecturer at the Taiyuan Institute of Technology, where she combines academic rigor with practical insights to contribute meaningfully to the field of management and accounting. Ms. Lixiang Chen earned her Master’s degree from the School of International Trade at Shanxi University of Finance and Economics and later completed her Ph.D. at the School of Economics, Central University of Finance and Economics, where she developed a strong foundation in economic theory, fiscal policy, and global trade systems. Throughout her career, she has demonstrated a consistent commitment to advancing research that bridges the gap between policy design and economic performance, with particular emphasis on performance budgeting, defense resource allocation, and the strategic planning of public expenditures. Her notable scholarly contributions include publications such as The Impact of Performance Budgeting on Defense Resource Allocation International Journal of Economic Behavior and Organization, PPBE: Research on Operation and Latest Development American Journal of Theoretical and Applied Business, and The Evolution and Implications of the Planning, Programming, Budgeting, and Execution System China Economist. Through these works, she has explored how structured financial frameworks can enhance the efficiency, transparency, and accountability of public sector spending, especially within defense and national strategic contexts. In addition to her research output, Ms. Lixiang Chen plays an active role in mentoring students, developing innovative curricula, and contributing to collaborative research initiatives aimed at economic modernization and sustainable fiscal governance. Her analytical precision and interdisciplinary approach make her an influential voice in economic policy and management research. With a clear vision toward enhancing the integration of theoretical economics and practical decision-making, Ms. Lixiang Chen continues to pursue impactful studies that inform national and international fiscal reforms. Her dedication to academic excellence and her contributions to policy-oriented research have established her as a respected figure in the academic community, reflecting a professional journey defined by intellectual depth, innovation, and a strong commitment to advancing knowledge in economics and management.

Profile: Orcid

Featured Publications:

Chen, L., & Wang, W. (2025). Innovation networks in the new energy vehicle industry: A dual perspective of collaboration between supply chain and executive networks. World Electric Vehicle Journal, 16(10), 575.

Chen, L. (2021). The evolution and implications of the Planning, Programming, Budgeting, and Execution system. China Economist, (12), 61–62.

Chen, L. (2021). The impact of performance budgeting on defense resource allocation. International Journal of Economic Behavior and Organization, 9(4), 151–156.

Chen, L. (2020). PPBE: Research on operation and latest development. American Journal of Theoretical and Applied Business, 6(4), 98–105.

Chen, L., & Chen, B. (2020). The U.S. Department of Defense’s “medium-term expenditure framework” and its implications. National Defense Science & Technology, 41(2), 85–90.

Zainib Babar | Agricultural and Biological Sciences | Best Researcher Award

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Dr.Zainib Babar | Agricultural and Biological Sciences | Best Researcher Award 

PhD at Shanghai Jiao Tong University | China 

Dr. Zainib Babar is an emerging scholar in agricultural and biological sciences, specializing in plant–microbe interactions, molecular biology, and plant immunity. Her academic foundation includes advanced training in horticulture, molecular genetics, and plant biotechnology, culminating in a doctoral degree from a leading institution where her research focused on identifying and characterizing conserved RxLR effectors of Plasmopara viticola that target host proteins involved in grapevine immune signaling. Her work provides critical insights into the molecular basis of plant resistance, contributing to the development of sustainable strategies for crop protection and productivity improvement. She possesses strong expertise in both experimental and computational biology, including gene cloning, protein purification, quantitative reverse transcription PCR, yeast hybridization, protein modeling, and bioinformatics analysis using R-Studio, Tb-tools, and ITASSER. Her prior research experience includes work on CRISPR/Cas-mediated genome editing in cotton for viral resistance, reflecting her commitment to addressing global agricultural challenges through genetic innovation. Dr. Zainib Babar has served as a lecturer, sharing her knowledge in biochemistry and molecular sciences, and has participated in numerous international conferences, symposiums, and workshops on plant biotechnology and genomics. Her scholarly output includes publications in reputable journals such as the Journal of Biomolecular Structure and Dynamics and Frontiers in Molecular Biosciences, where she has contributed to studies on protein–pathogen interactions and computational drug discovery. She has been recognized with multiple academic awards, including prestigious scholarships for her research excellence and participation in global scientific training programs. With 226 citations by 189 documents, 5 publications, and an h-index of 5, Dr. Zainib Babar demonstrates a growing international reputation for scientific innovation and collaboration. Her research continues to focus on the molecular mechanisms of plant defense and the application of biotechnology to enhance crop resilience and food security. Through her dedication to advancing knowledge at the intersection of molecular biology and agricultural science, she exemplifies the next generation of researchers striving to create sustainable solutions for the global agricultural sector.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

Babar, Z., Khan, A., Hussain, A., Liu, J., Wu, W., Fu, P., & Lu, J. A highly conserved oomycete effector PvRxLR15 hijacks Vv14-3-3ω to suppress plant immunity. Horticulture Research.

Babar, Z., Hussain, A., Khan, A., & Lu, J. NLR-driven plant immunity: Mechanisms, regulation, evolution, and application.

Khan, A., Babar, Z., & Lu, J. The LWY motif of PvRxLR111 is required for VvSGT1-mediated resistance in grapevines.

Babar, Z., Khan, M., Zahra, M., Anwar, M., Noor, K., Hashmi, H. F., Suleman, M., & Wei, D.-Q. (2020). Drug similarity and structure-based screening of medicinal compounds to target macrodomain-I from SARS-CoV-2 to rescue the host immune system: A molecular dynamics study. Journal of Biomolecular Structure and Dynamics, 39(18), 1–15.

Khan, A., Ali, S. S., Khan, M. T., Saleem, S., Ali, A., Suleman, M., Babar, Z., Shafiq, A., Khan, M., & Wei, D.-Q. (2020). Combined drug repurposing and virtual screening strategies with molecular dynamics simulation identified potent inhibitors for SARS-CoV-2 main protease (3CLpro). Journal of Biomolecular Structure and Dynamics, 39(10), 1–12.

Khan, A., Khan, M., Saleem, S., Babar, Z., Ali, A., Khan, A. A., Sardar, Z., Hamayun, F., Ali, S. S., & Wei, D.-Q. (2020). Phylogenetic analysis and structural perspectives of RNA-dependent RNA polymerase inhibition from SARS-CoV-2 with natural products. Interdisciplinary Sciences: Computational Life Sciences, 12(3), 1–14.

Khan, A., Junaid, M., Li, C.-D., Saleem, S., Hamayun, F., Shamas, S., Ali, S. S., Babar, Z., & Wei, D.-Q. (2020). Dynamics insights into the gain of flexibility by Helix-12 in ESR1 as a mechanism of resistance to drugs in breast cancer cell lines. Frontiers in Molecular Biosciences, 6, 159

Yury Kozhedub | Physics and Astronomy | Cutting-Edge Phenomenological Research Award

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Dr.Yury Kozhedub | Physics and Astronomy | Cutting-Edge Phenomenological Research Award

Senior Scientist at Saint-Petersburg State University | Russia 

Dr. Yury Kozhedub is a distinguished physicist and senior researcher whose scientific career is marked by excellence in theoretical and computational physics, particularly in quantum electrodynamics (QED), relativistic atomic structure, and high-precision spectroscopy. He holds advanced degrees in physics, including a Ph.D. earned with distinction from Saint Petersburg State University, where he has since progressed through academic and research ranks to become a senior scientist in the Department of Physics. His early academic foundation, built on rigorous training in quantum theory and atomic physics, paved the way for a prolific research career dedicated to uncovering the fundamental interactions between matter and radiation under extreme conditions. Dr. Yury Kozhedub’s extensive professional experience includes leading and collaborating on numerous national and international research projects supported by the Russian Foundation for Basic Research, the President of the Russian Federation, the FAIR Research Center in Germany, and the Chinese Academy of Sciences. His scholarly contributions encompass more than 85 peer-reviewed scientific papers, accumulating 1,077 citations across 531 documents, with an h-index of 19 reflecting both the depth and global recognition of his work. His research focuses on precision QED calculations, relativistic many-body effects, and the study of highly charged ions, which have broad implications for advancing atomic theory, particle interactions, and astrophysical modeling. In addition to his groundbreaking research, Dr. Yury Kozhedub has collaborated with leading international laboratories, including GSI Darmstadt and the Institute of Modern Physics, Lanzhou, contributing to experiments that bridge theoretical predictions with empirical findings. His recent works published in Physical Review Letters and Physical Review A are widely cited for their innovative insights into supercritical Coulomb fields, QED corrections, and fine-structure phenomena. Through his dedication to advancing high-precision atomic physics, Dr. Yury Kozhedub continues to inspire new directions in phenomenological and quantum research, shaping the scientific understanding of complex physical systems and reinforcing his position as a leading contributor to modern physics and astronomy.

Profile: Scopus | Orcid

Featured Publications:

Kozhedub, Y. S. (2025). Effect of electron-electron interaction on pair production in supercritical collisions of highly charged ions. Chinese Physics C.

Kozhedub, Y. S. (2025). Double and single K-shell-vacancy production of xenon atoms by 95–197-MeV/u Xe54+ ion collisions. Physical Review A.

Kozhedub, Y. S. (2025). Three-dimensional calculations of positron creation in supercritical collisions of heavy nuclei. Physical Review D.

Kozhedub, Y. S. (2024). QED calculations of intra-L-shell singly excited states in Be-like ions. Physical Review A.

Kozhedub, Y. S. (2024). Positron supercritical resonances and spontaneous positron creation in slow collisions of heavy nuclei. Physics of Atomic Nuclei.

Kozhedub, Y. S. (2024). Orbital collapse of the 5g-electrons in the superheavy elements of the 8th period. Optics and Spectroscopy.

Kozhedub, Y. S. (2024). Ground-state potential and dipole moment of carbon monoxide: Contributions from electronic correlation, relativistic effects, QED, adiabatic correction, and nonadiabatic correction. Physical Review A.

Kozhedub, Y. S. (2024). Orbital collapse and dual states of the 5g electrons in superheavy elements. Physical Review A.

sejong kim | Engineering | Best Researcher Award

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Dr. Sejong Kim | Engineering | Best Researcher Award

Department of Civil Engineering at Hongik University | South Korea 

Dr. Sejong Kim is a distinguished researcher in civil and structural engineering, recognized for his advanced work on the durability and corrosion behavior of reinforced concrete structures in aggressive environments. His academic background is rooted in civil engineering, where he has developed a strong foundation in material science, electrochemistry, and infrastructure sustainability. Over the course of his academic and professional journey, Dr. Sejong Kim has focused on the interplay between carbonation and chloride-induced corrosion in steel reinforcements, applying both experimental and theoretical approaches to address the pressing challenges of structural degradation. His doctoral research and subsequent projects have led to the development of novel electrochemical and gravimetric assessment methods that provide deeper insight into the corrosion mechanisms of steel rebar, thereby enhancing the predictive accuracy of service life models for concrete structures. He has actively collaborated with research teams and industry professionals to develop corrosion monitoring systems and durability evaluation models for marine and urban infrastructure. His scholarly contributions include publications in high-impact journals such as Construction and Building Materials, Corrosion Science, and Buildings (MDPI), reflecting the scientific and practical relevance of his findings. In addition to his research, Dr. Sejong Kim has served as a reviewer for prominent international journals and has participated in interdisciplinary projects aimed at developing sustainable construction materials and smart corrosion monitoring technologies. His research interests encompass reinforced concrete durability, chloride and carbonation-induced deterioration, electrochemical monitoring, and the design of eco-efficient materials for infrastructure resilience. Through his commitment to advancing the field, Dr. Sejong Kim has contributed significantly to the understanding of corrosion mechanisms and the formulation of durability design standards that support long-term sustainability in civil infrastructure. His ongoing work continues to bridge the gap between laboratory innovation and real-world application, promoting safer, more durable, and environmentally conscious engineering practices that align with the future of sustainable urban development.

Profile: Orcid | Sciprofile

Featured Publications:

  • Kim, S., & Choi, J. K. (2025). Electrochemical and Gravimetric Assessment of Steel Rebar Corrosion in Chloride- and Carbonation-Induced Environments. Buildings.

  • Kim, H.; Yang, S.; Noguchi, T.; Yoon, S. (2023). An Assessment of the Structural Performance of Rebar-Corroded Reinforced Concrete Beam Members. Applied Sciences, 13(19), 10927.

Kai Jin | Computer Science | Best Researcher Award

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Dr. Kai Jin | Computer Science | Best Researcher Award

Lecturer at Sanya Research Institute of Hunan University of Science and Technology | China

Dr. Kai Jin is an accomplished researcher and academic whose work bridges the fields of computer science, artificial intelligence, and information engineering. With a strong educational foundation culminating in a Ph.D. in Computer Science and Technology from Hunan University, he has built a research career characterized by innovation, interdisciplinary collaboration, and practical impact. His professional experience spans both academia and industry, having served as a lecturer and researcher at the Sanya Research Institute of Hunan University of Science and Technology, as well as a software engineer in technology firms where he developed expertise in system architecture and Java-based solutions. Dr. Kai Jin’s scholarly contributions focus on network measurement, image recognition, and deep learning areas that are pivotal to advancing intelligent computing and data-driven technologies. He has authored six scientific papers published in high-impact journals and international conferences, including IEEE Transactions on Network Science and Engineering, Connection Science, and Scientific Reports. His work has earned 70 citations by 60 documents, with an h-index of 5, reflecting the growing influence of his research within the global academic community. In addition to publications, Dr. Kai Jin has secured four invention patents covering innovations in network traffic measurement, remote sensing image detection, brain tumor identification, and predictive maintenance for industrial IoT systems. His research projects, supported by national and provincial grants, such as the National Natural Science Foundation of China and the Hunan Provincial Key R&D Program, demonstrate a commitment to technological progress and societal benefit. Beyond his technical achievements, Dr. Kai Jin’s leadership in research collaborations and mentorship reflects his dedication to fostering the next generation of computer scientists. His current research continues to explore the integration of deep learning models with real-world systems, optimizing intelligent network management, and enhancing computational efficiency. Through his scientific rigor, creativity, and contributions to both theoretical and applied computing, Dr. Kai Jin has established himself as a leading voice in modern computer science, shaping innovations that address the complex challenges of today’s interconnected digital world.

Profile: Scopus

Featured Publications:

1. Jin, K., Xie, K., Wang, X., Tian, J., Xie, G., & Wen, J. (2022). Low-cost online network traffic measurement with subspace-based matrix completion. IEEE Transactions on Network Science and Engineering, 10(1), 53–67.

2. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2023). Low-cost network traffic measurement and fast recovery via redundant row subspace-based matrix completion. Connection Science, 35(1), 2218069.

3. Jin, K., Banizaman, H., Gharehveran, S. S., & Jokar, M. R. (2025). Robust power management capabilities of integrated energy systems in the smart distribution network including linear and non-linear loads. Scientific Reports, 15(1), 6615.

4. Zhu, M., Rasheed, R. H., Albahadly, E. J. K., Zhang, J., Alqahtani, F., Tolba, A., & Jin, K.* (2025). Application of fixed and mobile battery energy storage flexibilities in robust operation of two-way active distribution network. Electric Power Systems Research, 244, 111556.

5. Wen, J., Chen, Y., & Jin, K.* (2023, June). Revolutionizing network performance: The active and passive service path performance monitoring analysis method. In 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud) / 2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom) (pp. 1–6). IEEE.

6. Huo, Y., Jin, K., Cai, J., Xiong, H., & Pang, J. (2023). Vision Transformer (ViT)-based applications in image classification. In Proceedings of the 9th IEEE International Conference on High Performance and Smart Computing (HPSC 2023) (pp. 135–140). IEEE.

7. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2024). A acylthiourea based ion-imprinted membrane for selective removal of Ag⁺ from aqueous solution. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024, Article 9 citations.