Dr. Shao Guang Liu | Medicine | Best Researcher Award

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Dr. Shao Guang Liu | Medicine | Best Researcher Award

Dr. Shao Guang Liu | Associate Professor | Gansu Provincial Hospital | China

Dr. Liushaoguang is an accomplished associate professor and clinical expert in trauma and emergency medicine, currently contributing to the advancement of medical research and patient care at Gansu Provincial Hospital. His research primarily focuses on emergency trauma management and sepsis-induced peritonitis, with a strong emphasis on molecular and immunological mechanisms underlying trauma-related complications. Dr. Liushaoguang has led and completed several significant provincial-level projects, including studies on the construction of trauma care system management models and investigations into dendritic cell function transformation and immune paralysis in sepsis. His scholarly contributions reflect a deep integration of clinical insight and biomedical research aimed at improving critical care outcomes. His work has been widely recognized in academic circles, with a citation record of 160 citations across 11 documents and an h-index of 6 on Scopus, demonstrating the impactful nature of his research. On Google Scholar, his publications have also garnered substantial attention from the scientific community. In addition to his research achievements, Dr. Liushaoguang serves on the editorial board of the Chinese Journal of Traumatology, further underscoring his commitment to advancing medical knowledge. His published works explore various aspects of sepsis, endothelial function, gene methylation, and circular RNA mechanisms in inflammatory responses.

Profile

Scopus

Featured Publications

  • Liushaoguang. (2023). Four differentially methylated gene pairs to predict the prognosis for early stage. Frontiers in Genetics.

  • Liushaoguang. (2023). Circular RNA circ_0001105 protects the intestinal barrier of septic rats by inhibiting inflammation. BMC Gastroenterology.

  • Liushaoguang. (2022). Transcriptomics changes in the peritoneum of mice with lipopolysaccharide-induced peritonitis. Scientific Reports.

  • Liushaoguang. (2022). Endothelial progenitor cell-derived exosomal miRNA-31 alleviates septic peritonitis. Cell Death Discovery.

  • Liushaoguang. (2021). Research on the construction of the trauma care system management model in Gansu Province. Chinese Journal of Traumatology.

Mr. Nikos Mantadakis | Floating Structures | Best Researcher Award

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Mr. Nikos Mantadakis | Floating Structures | Best Researcher Award

Mr. Nikos Mantadakis | PhD candidate | Aristotle University of Thessaloniki (AUTh) | Greece

Nikolaos (Nikos) Mantadakis is a Greek civil engineer and researcher whose work focuses on the numerical modeling and hydroelastic analysis of floating offshore systems for the co-exploitation of wind and wave energy. His research lies at the intersection of marine renewable energy, structural engineering, and computational mechanics, emphasizing the development of advanced simulation frameworks for fully coupled aero-hydro-servo-elastic analyses. He has contributed extensively to projects related to offshore renewable energy technologies, including the conceptual design and numerical evaluation of floating wind turbine systems. His computational expertise spans finite element modeling, wave-structure interactions, and the use of hydrodynamic and structural analysis software such as WAMIT, ABAQUS, and OpenFAST. Nikolaos’s research contributions have been published in high-impact international journals and presented at leading conferences in marine and offshore engineering. He has actively participated in European collaborative research initiatives, such as COST Action CA17105 (WECANet), which aim to advance marine renewable energy deployment across Europe. His scholarly influence is reflected in his Scopus profile, with 78 citations across 75 documents and an h-index of 4, while his Google Scholar profile also demonstrates consistent citation growth. His peer-review experience includes contributions to prestigious journals and international conferences in offshore and polar engineering.

Profile

Scopus

Featured Publications

Mantadakis, N., Loukogeorgaki, E., & Troch, P. (2025). A computational framework for fully-coupled time-domain aero-hydro-servo-elastic analysis of hybrid offshore wind and wave energy systems. Journal of Marine Science and Engineering, 13(11), 2047.

Raghavan, V., Loukogeorgaki, E., Mantadakis, N., Metrikine, A. V., & Lavidas, G. (2024). HAMS-MREL, a new open-source multiple body solver for marine renewable energies: Model description, application, and validation. Renewable Energy, 237, 121577.

Mantadakis, N., Loukogeorgaki, E., & Karimirad, M. (2021). Accounting for hydroelasticity in the analysis of offshore wind turbine spar-type platforms. International Journal of Offshore and Polar Engineering, 31(1), 121–128.

Chatjigeorgiou, I. K., Loukogeorgaki, E., Anastasiou, E., & Mantadakis, N. (2020). Ultimate image singularities in oblate spheroidal coordinates with applications in hydrodynamics. Journal of Marine Science and Engineering, 8(1), 32.

Argyroudis, S., Nasiopoulos, G., Mantadakis, N., & Mitoulis, S. A. (2020). Cost-based resilience assessment of bridges subjected to earthquake excitations including direct and indirect losses. International Journal of Disaster Resilience in the Built Environment, 1, 1–13.

Mr. HaoFei Chen | Sensor Hardware | Young Innovator Award

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Mr. HaoFei Chen | Sensor Hardware | Young Innovator Award

Mr. HaoFei Chen | Nanjing University of Science and Technology | China

Chen Haofei is a dynamic researcher specializing in wearable intelligent systems, sensor technology, and machine learning-based recognition models. His research primarily focuses on developing advanced wearable sign language recognition systems for the hearing-impaired, integrating multidisciplinary expertise in kinematic modeling, sensor layout optimization, adaptive algorithm development, and system validation. His work aims to enhance communication accessibility through innovative sensor fusion and data-driven algorithms, achieving recognition accuracies above Ninety Percent. Chen’s technical expertise spans instrumentation science, signal acquisition, data optimization, embedded system design, and intelligent data processing using neural networks and particle swarm optimization. His studies demonstrate a strong commitment to bridging theoretical modeling with real-world application, particularly in high-impact environments such as overpressure explosion testing and multi-dimensional data acquisition. Chen has published influential research articles that contribute significantly to the fields of intelligent measurement and human-computer interaction. According to Scopus, he has 3 citations across 2 indexed documents with an h-index of 1, reflecting the emerging academic influence of his early-stage work. His research outputs are also indexed on Google Scholar, indicating growing international visibility and recognition.

Profile

Scopus

Featured Publication 

Chen, H. (2025). Biomechanical feature extraction for robust sign language recognition with applications. Molecular & Cellular Biomechanics, 22(3), 1322.

Chen, H., & Di, C. (2025). Lightweight sign language intelligent recognition model based on improved R-C3D. Egyptian Informatics Journal, Elsevier.

Dr. Shuyi Zhao | Tunnel | Best Researcher Award

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Dr. Shuyi Zhao | Tunnel | Best Researcher Award

Dr. Shuyi Zhao | Master Student | China University of Mining and Technology | China

Zhao Shuyi is an emerging researcher in the field of Civil and Mining Engineering at the China University of Mining and Technology (Beijing), with a strong focus on rock mechanics, tunnel engineering, and anchorage system performance. Her research primarily explores the mechanical behavior, failure mechanisms, and reinforcement performance of rock and soil structures under complex geological and hydrochemical environments. She has made notable contributions to the study of infrared radiation evolution during rock failure, the dynamic response of anchorage systems with high-performance NPR bolts, and the development of resin-based anchoring materials designed for challenging hydrochemical conditions. Zhao’s scholarly work demonstrates a unique integration of laboratory experimentation and field application, emphasizing sustainable and resilient tunnel support systems. Her recent studies contribute to improving the safety, durability, and efficiency of underground engineering structures through innovative anchorage and excavation methods. She has published her findings in high-impact journals indexed in Scopus and Web of Science, including Engineering Failure Analysis, Materials, and Tunnelling and Underground Space Technology. Zhao’s research has been cited across multiple international sources, reflecting growing academic influence, with an h-index of 5 on Scopus and 6 on Google Scholar as of 2025. Her published works highlight collaborative research with prominent experts such as Jun Yang and Kexue Wang, further strengthening the scientific foundation of mining and civil engineering technologies.

Publication Profile

Scopus | ORCID

Featured Publications

Wang, K., Yang, J., Liu, Z., Bian, W., Wu, Y., & Zhao, S. (2025). Study on the infrared radiation evolution and early warning characteristics of failure in anchored specimens with different anchorage methods. Engineering Failure Analysis, 110065.

Bian, W., Dong, M., Wang, K., Sun, Z., Wang, Z., Zhao, S., & Yang, J. (2025). Performance evolution and formulation improvement of resin-based anchoring materials for hydrochemical environments. Materials, 18(20), 4741.

Wang, K., Yang, J., Bian, W., Wu, Y., Sun, Z., & Fang, Y. (2025). Dynamic behavior of anchorage systems reinforced with high-performance NPR bolts: Laboratory and field investigation. Construction and Building Materials, 142585.

Bian, W., Zhai, Z., Yang, J., Wang, K., Hao, Q., Sun, Z., & Sun, X. (2025). Resilient design of urban rock tunnels using prestressed support systems: Experimental study and field applications. Tunnelling and Underground Space Technology, 106591.

Bian, W., Yang, J., Zhu, C., Wang, K., & Xu, D. (2024). Application of excavation compensation method for enhancing stability and efficiency in shallow large-span rock tunnels. Journal of Central South University, 11771-024-5767-4.

Prof. Liying Sun | Control Theory Application | Best Researcher Award

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Prof. Liying Sun | Control Theory Application | Best Researcher Award

Prof. Liying Sun | Professor | Shanghai Dianji University | China

Dr. Liying Sun is a distinguished professor at Shanghai Dianji University with extensive expertise in control theory, particularly in nonlinear descriptor systems and Hamiltonian systems. Her research explores advanced mathematical and engineering control methodologies, including finite-time control, adaptive control, and stability analysis of nonlinear and singular Hamiltonian systems. She has made significant contributions to the theoretical development and practical implementation of robust control mechanisms that enhance system performance under uncertainty and external disturbances. Dr. Sun’s work is characterized by the integration of mathematical rigor with engineering applications, contributing to both theoretical advancements and real-world system optimization. Her research has been widely recognized and published in reputable international journals, reflecting her strong academic influence in the fields of automation, control science, and applied mathematics. According to Scopus, she has authored 66 documents, received 578 citations from 432 documents, and holds an h-index of 15, underscoring her impactful contributions to scientific research. Her publications are also well-cited on Google Scholar, confirming her broad recognition in the global academic community.

Publication Profile

Scopus

Featured Publications

  • He, S., Sun, L., & Yang, R. (2025). Finite-time H∞ control of doubly fed induction generator. Asian Journal of Control.

  • He, S., Sun, L., & Yang, R. (2025). Passive control of a set of nonlinear singular Hamiltonian systems. Journal of the Franklin Institute.

  • He, S., Sun, L., & Yang, R. (2025). Adaptive H∞ finite-time boundedness control for a set of nonlinear singular Hamiltonian systems. Control Theory and Technology.

  • Zhang, Z., Sun, L., & Yang, R. (2025). Input-output finite-time stabilization for a class of nonlinear descriptor Hamiltonian systems with actuator saturation. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering.

  • Zhang, Z., & Sun, L. (2025). Input-output finite-time adaptive control of nonlinear descriptor Hamiltonian systems. Fourth International Conference on Advanced Manufacturing.

 

Assoc. Prof. Dr. A’aeshah Alhakamy | Computer Graphics | Best Researcher Award

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Assoc. Prof. Dr. A’aeshah Alhakamy | Computer Graphics | Best Researcher Award

Assoc. Prof. Dr. A’aeshah Alhakamy | Associate Professor | University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’aeshah Alhakamy is a distinguished academic and researcher in the field of Computer Science at the University of Tabuk, Saudi Arabia. Her research spans computer graphics, computer vision, visualization, and imaging, with a particular focus on illumination models in mixed and augmented reality (AR/MR), gesture-based interaction, and the convergence of vision and artificial intelligence in immersive environments. Her scholarly contributions bridge the gap between visual perception and computational intelligence, emphasizing human–data interaction, extended reality (XR) technologies, and AI-driven visual analytics. She has successfully supervised graduate research in emerging domains such as extended reality applications for industrial training and biometric authentication systems using AI. Dr. Alhakamy’s research outputs demonstrate a deep commitment to advancing both theoretical and applied dimensions of visual computing and human–computer interaction. Her academic excellence is reflected through strong research metrics, including Scopus with 254 citations from 235 documents and an h-index of 9, and Google Scholar with 417 citations, an h-index of 11, and an i10-index of 13. These indicators highlight her growing influence and recognition in the international research community.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications

  • Alhakamy, A. (2025). Intersecting realms: Examining the convergence of vision and AI in extended reality graphics. IEEE Access, 1–1.

  • Alhakamy, A. (2024). Extended reality (XR) toward building immersive solutions: The key to unlocking Industry 4.0. ACM Computing Surveys, 56(9).

  • Alhakamy, A. (2023). Fathoming the Mandela effect: Deploying reinforcement learning to untangle the multiverse. Symmetry, 15(3).

  • Alatawi, H., Albalawi, N., Shahata, G., Aljohani, K., Alhakamy, A., & Tuceryan, M. (2023). Augmented reality-assisted deep reinforcement learning-based model towards industrial training and maintenance for NanoDrop spectrophotometer. Sensors, 23(13).

  • Albalawi, S., Alshahrani, L., Albalawi, N., Kilabi, R., & Alhakamy, A. (2022). A comprehensive overview on biometric authentication systems using artificial intelligence techniques. International Journal of Advanced Computer Science and Applications, 13(4).

 

Mr. Wang Pengfei | Propagation Mechanism | Excellence in Research Award

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Mr. Wang Pengfei | Propagation Mechanism | Excellence in Research Award

Mr. Wang Pengfei | Doctor | Panzhihua University | China

Dr. Pengfei Wang is a dedicated researcher and academic specializing in mechanical engineering, with a focus on the design, manufacturing, and service performance of high-precision ceramic bearings. His research primarily explores ultra-precision all-ceramic ball bearings, ceramic rolling bearing technologies, and the mechanical behaviors of silicon nitride ceramics under extreme temperature and stress conditions. Dr. Wang has actively contributed to several national research projects, including those funded by the National Natural Science Foundation of China and the National Key Research Program, emphasizing innovations in ultra-precision manufacturing and performance optimization of ceramic bearings. His studies combine theoretical modeling with experimental validation to advance understanding in fatigue failure mechanisms, crack propagation, and load-bearing capacity of ceramic bearings, significantly contributing to advancements in high-performance mechanical systems. Dr. Wang has published numerous peer-reviewed articles in prestigious international journals indexed by SCI and EI. According to Scopus, his research record includes 13 documents, 11 citations, and an h-index of 2, reflecting growing recognition in the academic community. His Google Scholar profile further demonstrates expanding scholarly impact through interdisciplinary collaborations.

Publication Profile

Scopus

Featured Publications

  • Wang, P., Li, S., Wu, Y., & Zhao, J. (2024). Research on calculation of allowable radial load of silicon nitride full ceramic ball bearing. Journal of Mechanical Science and Technology, 38(12), 6757–6767.

  • Wang, P., Li, S., Wu, Y., & Zhao, J. (2024). Initiation of secondary surface crack in the ring raceway of silicon nitride full ceramic bearing. Journal of Ceramic Processing Research, 25(4), 694–703.

  • Wang, P., Li, S., Wu, Y., Zhang, Y., Wei, C., & Wang, Y. (2024). Research on crack propagation mechanism of silicon nitride ceramic ball bearing channel surface based on rolling friction experiment. Applied Sciences, 14(2), 674.

  • Wang, P., Li, S., Wu, Y., Zhang, L., Wei, C., & Wang, Y. (2025). Research on propagation mechanism of silicon nitride full ceramic ball bearing ring raceway surface crack considering the initial inclination angle. Engineering Research – Forschung im Ingenieurwesen, 89(1), 73.

  • Wang, P., & Zhang, X. (2025). Experimental study on the service performance of full ceramic silicon nitride ball bearings. Lubricants.

 

Mr. Marian Alex Butean | Safety Engineering | Best Researcher Award

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Mr. Marian Alex Butean | Safety Engineering | Best Researcher Award

Mr. Marian Alex Butean | Doctorate Student | Technical University of Cluj-Napoca | Romania

Marian Alex Butean is a dedicated doctoral researcher at the Technical University of Cluj-Napoca, Romania, whose work centers on performance-based fire safety engineering and the optimization of fire protection systems in civil and industrial structures. His research employs Computational Fluid Dynamics (CFD) modeling using PyroSim to analyze the integrated performance of automatic sprinkler and natural smoke ventilation systems, providing a deeper understanding of their interactions under various fire scenarios. A major highlight of his research is the identification of the “umbrella effect” caused by upper storage racks, which influences the efficiency of ceiling-mounted sprinklers and affects overall flame propagation. His studies contribute significantly to developing data-driven methodologies for improving fire suppression effectiveness, tenability conditions, occupant evacuation safety, and overall building resilience. Butean’s interdisciplinary collaborations span across mechanical and civil engineering domains, emphasizing innovative approaches for integrating detection, suppression, and smoke control technologies into unified fire protection strategies. His published works are indexed in Scopus and Google Scholar, reflecting growing academic recognition through citations and measurable research impact, with an emerging h-index supported by quality journal publications. His research outputs contribute to the evolving field of performance-based design, aligning with global standards for sustainable and resilient infrastructure.

Research Profile 

ORCID

Featured Publication

  • Butean, M. A. (2025). Integrated performance of sprinkler and natural smoke ventilation systems in warehouses: A CFD-based evaluation using PyroSim. Buildings.

 

Dr. Eleni Memi | Medicine | Best Researcher Award

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Dr. Eleni Memi | Medicine | Best Researcher Award

Dr. Eleni Memi | Clinician | National and Kapodistrian University of Athens | Greece

Dr. Eleni Memi is a distinguished medical scientist and endocrinologist from Greece whose research focuses on endocrinology, diabetes, metabolism, reproductive endocrinology, and thyroid gland pathophysiology. Her scientific contributions span both clinical and translational aspects of endocrine disorders, with special emphasis on hormonal regulation, metabolic diseases, glycosaminoglycans, and reproductive endocrinology in women. Dr. Memi has made substantial advancements in understanding the interplay between thyroid dysfunction, glucocorticoid activity, and reproductive health, integrating molecular mechanisms with clinical applications. Her work in endocrine-related metabolic disorders has contributed to novel insights into hormonal pathways and disease outcomes. She has authored several influential papers and a book chapter published by Elsevier. Her scholarly impact is reflected in Scopus with 72 citations, 12 documents, and an h-index of 5, while Google Scholar reports 129 citations, an h-index of 6, and an i10-index of 6, underscoring her growing academic influence in medical research.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications

  1. Memi, E., Pavli, P., Maria, P., Vrachnis, N., & Mastorakos, G. (2024). Diagnostic and therapeutic use of oral micronized progesterone in endocrinology. Reviews in Endocrine and Metabolic Disorders.

  2. Alexandraki, K. I., Violetis, O., Memi, E., Fryssira, H., Papanikolaou, V., Papagianni, M., & Mastorakos, G. (2025). A rare combination of hypogonadotropic hypogonadism, GH deficiency and rectal atresia in a female with an FGFR1 variant: A case report and systematic review of the literature. Endocrine.

  3. Kanouta, F., Karampitsakos, T., Memi, E., Vrachnis, N., Macut, D., & Mastorakos, G. (2025). Epigenetic effects of endogenous and exogenous glucocorticosteroids during pregnancy on the offspring: A systematic-narrative review. Hormones (Athens).

  4. Pontikides, N., Karras, S., Kaprara, A., Anagnostis, P., Mintziori, G., Goulis, D. G., Memi, E., & Krassas, G. (2014). Genetic basis of familial isolated hyperparathyroidism: A case series and a narrative review of the literature. Journal of Bone and Mineral Metabolism.

  5. Memi, E., Karakiulakis, G., Goma, F., & Papakonstantinou, E. (2012). The functional role of glycosaminoglycans in the pathophysiology of the thyroid gland and their putative role as prognostic, diagnostic and therapeutic agents in thyroid pathologies. Review of Clinical Pharmacology and Pharmacokinetics.

Dr. Olubunmi Kayode Ayanwoye | Education | Best Researcher Award

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Dr. Olubunmi Kayode Ayanwoye | Education | Best Researcher Award

Dr. Olubunmi Kayode Ayanwoye | Lecturer | Map of Federal University Oye-Ekiti | Nigeria

Dr. Olubunmi Kayode Ayanwoye is an accomplished scholar in Mathematics Education, Curriculum Studies, and Pedagogical Innovation, recognized for his significant contributions to advancing teaching and learning practices in higher education. His research bridges mathematics pedagogy, educational technology, gender equity in STEM, and curriculum evaluation, focusing on developing data-driven instructional strategies that enhance learners’ achievement and engagement. A Life Member of the Mathematical Association of Nigeria (LMAN), Dr. Ayanwoye has established a strong academic presence through his publications, conference presentations, and peer-review engagements in both national and international scholarly outlets. His works emphasize the integration of ICT in mathematics education, the influence of teacher and learner variables on achievement, and the transformative role of emerging technologies such as virtual and extended reality in Education 4.0. He has authored and co-authored several peer-reviewed articles and book chapters, with notable citation metrics reflecting his scholarly influence — Google Scholar reports 21 citations, an h-index of 2, and an i10-index of 0, while Scopus indexing highlights his emerging academic visibility in educational technology and mathematics pedagogy. Dr. Ayanwoye continues to inspire pedagogical excellence, promote inclusive education, and advance empirical research in mathematics teaching and learning through collaborative and innovative inquiry.

Publication Profile

Google Scholar | ORCID

Featured Publications

  • Ayanwoye, O. K. (2023). Effects of teachers’ professional development on students’ academic achievement.

  • Ayanwoye, O. K. (2023). Implications of large class size on effective teaching and learning in Nigerian tertiary institutions: Lecturers’ perception.

  • Ayanwoye, O. K. (2021). Students’ learning styles as determinants of mathematical achievement in Oyo State.

  • Falebita, O. S., Kok, P. J., Ayanwoye, O. K., & Ogunjobi, A. O. (2025). Virtual reality in Education 4.0: Pre-service teachers’ technology readiness and behavioral intention.

  • Ayanwoye, O. K., Akinsola, M. K., & Oyeniran, J. O. (2024). Teacher personality traits as predictors of mathematics achievement among students in Oyo State, Nigeria.