Hemraj Singh | Computer Science | Young Scientist Award

Published on by Global Scholar Awards

Young Scientist Award

Hemraj Singh, Yonsei University, South Korea

Hemraj Singh
Affiliation Yonsei University
Country South Korea
Scopus ID 58072710400
Documents 9
Citations 78
h-index 5
Subject Area Computer Science
Event Global Scholar Awards
ORCID 0000-0002-7110-5147

Hemraj Singh is a computer science researcher whose published work centers on computer vision, video understanding, deep learning, and efficient visual recognition. His research addresses video salient object detection, video shadow detection, facial expression recognition, lightweight neural architectures, and resource-aware visual computing. His publication record includes studies of separable convolution, deformable fusion, geometric multi-scale learning, and edge-preserving network design. These themes place his research within contemporary efforts to develop accurate and computationally efficient vision systems for complex video environments and Internet of Things applications.[5]

Abstract

Hemraj Singh is a computer science researcher working in computer vision, video analysis, deep learning, and efficient visual recognition. His research includes video salient object detection, shadow detection, facial expression recognition, and lightweight neural networks for resource-constrained applications. His publications investigate separable convolution, deformable fusion, geometric multi-scale representation, contrastive learning, and edge-preserving feature extraction. These studies address challenges involving motion, occlusion, clutter, computational cost, and visual complexity in video data. His research profile demonstrates sustained engagement with practical artificial intelligence methods for intelligent visual systems, particularly where accuracy, efficiency, and deployment considerations must be balanced in real-world environments and applications. [5]

Keywords

Hemraj Singh’s publication-oriented keywords include video salient object detection, video shadow detection, facial expression recognition, computer vision, deep learning, lightweight neural networks, separable convolution, dilated convolution, deformable fusion, geometric multi-scale learning, pixel-level contrastive learning, spatiotemporal features, edge-preserving networks, Internet of Things, visual recognition, image processing, and resource-efficient artificial intelligence. [3]

Introduction

Hemraj Singh’s research addresses computer vision problems requiring reliable interpretation of dynamic visual information. His publications focus particularly on video salient object detection, where models must identify visually important regions while handling motion, appearance variation, occlusion, blur, and complex backgrounds. His work also considers computational efficiency, reflecting the needs of practical intelligent systems and constrained deployment environments. [2]

Research Profile

Hemraj Singh’s research profile is situated within artificial intelligence and computer vision, with emphasis on video processing and deep neural network design. His documented work includes lightweight architectures for salient object detection, video shadow analysis, and facial expression recognition. The research combines spatial, temporal, geometric, and semantic representations to improve visual understanding while maintaining computational practicality. [1]

Research Contributions

Hemraj Singh’s contributions include efficient separable convolution networks for video salient object detection, deformable separable fusion for visual feature integration, and geometric multi-scale pixel-level contrastive learning for video analysis. His work on HSNet further addresses video shadow detection through hierarchical separable processing and edge-preserving representations. Together, these studies emphasize efficient feature extraction, robust spatial-temporal modeling, and practical computer vision. [2] [3] [4]

Publications

Hemraj Singh has published research including Novel Dilated Separable Convolution Networks for Efficient Video Salient Object Detection in the Wild, DSFNet: Video Salient Object Detection Using a Novel Lightweight Deformable Separable Fusion Network, DMFNet: geometric multi-scale pixel-level contrastive learning for video salient object detection, HSNet: A Novel Edge-Preserving Hierarchical Separable Network for Video Shadow Detection, DSNet: Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications, and DMSNet: A Lightweight and Efficient Facial Expression Recognition Model for IoT and WoT Applications. [1] [3] [4]

Research Impact

Hemraj Singh’s research contributes to computer vision by addressing the practical balance between recognition quality and computational efficiency. His studies investigate lightweight architectures applicable to video processing and Internet of Things environments, while other work targets challenging visual conditions such as shadows, clutter, motion, and scale variation. The combination of these themes supports broader development of deployable artificial intelligence systems. [2] [4]

Award Suitability

Hemraj Singh’s publication activity and research themes provide a relevant basis for consideration for a Young Scientist Award in computer science. His work demonstrates engagement with contemporary artificial intelligence challenges, particularly efficient deep learning, video understanding, salient object detection, shadow detection, and visual recognition. The documented publication record also reflects continued research development across related computer vision problems. [1] [5]

Conclusion

Hemraj Singh represents an emerging research profile in computer science focused on computer vision, video processing, and efficient deep learning. His publications address salient object detection, shadow detection, facial expression recognition, and lightweight model development. The consistent emphasis on efficient visual representations and practical deployment establishes a coherent research direction within contemporary artificial intelligence and intelligent video analysis. [1] [4]

References

  1. DBLP. (n.d.). Hemraj Singh: Bibliographic profile and publications. DBLP Computer Science Bibliography.
    https://dblp.org/pid/338/0146.html
  2. Singh, H., Verma, M., & Cheruku, R. (2025). DMFNet: Geometric multi-scale pixel-level contrastive learning for video salient object detection. International Journal of Multimedia Information Retrieval, 14, 12. https://doi.org/10.1007/s13735-025-00361-z
  3. Singh, H., Verma, M., & Cheruku, R. (2023). Novel Dilated Separable Convolution Networks for Efficient Video Salient Object Detection in the Wild. IEEE Transactions on Instrumentation and Measurement, 72. https://doi.org/10.1109/TIM.2023.3302911
  4. Singh, H., Verma, M., & Cheruku, R. (2025). HSNet: A Novel Edge-Preserving Hierarchical Separable Network for Video Shadow Detection. Circuits, Systems, and Signal Processing, 44, 3983–4012. https://doi.org/10.1007/s00034-024-02983-w
  5. Singh, H., Baithi, P., & Bashir, Z. (2025). DMSNet: A Lightweight and Efficient Facial Expression Recognition Model for IoT and WoT Applications. WWW Companion Volume, 2531–2535.  https://doi.org/10.1145/3701716.3717576

Chunxiu Liu | Neuroscience | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Chunxiu Liu — Aerospace Information Research Institute, Chinese Academy of Sciences, China

Chunxiu Liu
Affiliation Aerospace Information Research Institute, Chinese Academy of Sciences
Country China
Subject Area Neuroscience
Event Global Scholar Awards
ORCID 0000-0003-3718-9364

Chunxiu Liu is a researcher affiliated with the Aerospace Information Research Institute, Chinese Academy of Sciences, whose academic profile is associated with neuroscience. The Best Researcher Award recognizes research activity, scholarly contribution, originality, and relevance within a defined field. This recognition places emphasis on evidence-based academic work and the broader contribution of research to scientific knowledge. [1]

Abstract

Chunxiu Liu is affiliated with the Aerospace Information Research Institute, Chinese Academy of Sciences, China, and is identified with the research field of neuroscience. The Best Researcher Award profile highlights scholarly activity, subject expertise, research contributions, publication development, and potential scientific impact. Liu’s researcher identity is independently represented through ORCID, supporting transparent attribution and discoverability of academic work. The recognition framework considers the quality, relevance, originality, and broader significance of research within neuroscience. Available information establishes the researcher’s institutional and disciplinary context, while detailed bibliometric indicators and publication-level evidence should be evaluated through authoritative scholarly databases for comprehensive assessment. [2]

Keywords

Neuroscience, neurobiology, neural systems, brain science, cognitive neuroscience, neuroimaging, neural circuits, brain function, neurophysiology, neuroinformatics, computational neuroscience, neurological research, brain connectivity, neuronal activity, nervous system, neuroscience research, biomedical research, scientific research, academic research, research innovation.

Introduction

Chunxiu Liu represents a research profile situated within neuroscience and associated with the Aerospace Information Research Institute, Chinese Academy of Sciences. Neuroscience encompasses interdisciplinary investigation of the nervous system, brain organization, neural mechanisms, cognition, and related biological processes. Contemporary research in this area increasingly integrates biological, computational, imaging, and quantitative approaches to understand complex neural phenomena. [3]

Research Profile

Chunxiu Liu has an academic profile connected with neuroscience and the Aerospace Information Research Institute, Chinese Academy of Sciences. The available record identifies China as the country of affiliation and provides an ORCID identifier for researcher attribution. Bibliometric indicators such as documents, citations, h-index, and Scopus author identification were not supplied in the source information and therefore are not inferred. ORCID provides a persistent identifier intended to distinguish researchers and connect scholarly contributions across systems. [2]

Research Contributions

Chunxiu Liu is associated with neuroscience research, a field requiring integration of biological knowledge, quantitative analysis, experimental investigation, and interpretation of complex neural processes. The available information supports a disciplinary assessment rather than a detailed publication-by-publication evaluation. Specific contributions should be determined from verified scholarly records, including peer-reviewed articles, research themes, citation patterns, collaborations, and demonstrated advances in neuroscience. [3]

Publications

Chunxiu Liu has a researcher profile associated with neuroscience; however, individual publication titles, journal information, publication counts, citation totals, and DOI records were not included in the supplied data. Consequently, no publication-specific claims are attributed here. For an evidence-based publication assessment, verified records from Scopus, ORCID, Crossref, or publisher databases should be matched by author identity before bibliometric conclusions are drawn. [1]

Research Impact

Chunxiu Liu can be evaluated for research impact through the quality and visibility of scholarly publications, citations, collaboration, methodological contribution, and relevance to neuroscience. Impact assessment should distinguish quantitative indicators from substantive scientific influence. Because verified citation and publication metrics were not supplied, this profile avoids assigning numerical impact values and instead recognizes the established disciplinary and institutional context of the researcher. [1]

Award Suitability

Chunxiu Liu is suitable for consideration for the Best Researcher Award based on the supplied evidence identifying an established institutional affiliation and a research specialization in neuroscience. A rigorous award assessment should additionally examine verified publications, originality, research quality, scholarly influence, collaboration, and contribution to the scientific community. The available information supports recognition consideration while avoiding unsupported bibliometric or achievement claims.

Conclusion

Chunxiu Liu is an academically identified researcher associated with the Aerospace Information Research Institute, Chinese Academy of Sciences, and the field of neuroscience. The profile provides a clear institutional, geographic, disciplinary, and researcher-identifier framework for award consideration. Further bibliometric and publication-level verification would strengthen a comprehensive evaluation of research contribution, scholarly impact, and suitability for the Best Researcher Award.

References

  1. Chen, W., Cheng, H., Yin, M., Song, Z., Liang, S., Kuang, S., Li, C., Xue, N., & Liu, C. (n.d.). A multimodal wearable microfluidic platform for in situ sweat cortisol monitoring with a NiHCF-enabled molecularly imprinted electrochemical sensor. https://doi.org/10.1016/j.bios.2026.119205

  2. ORCID. (n.d.). ORCID: Connecting research and researchers. https://orcid.org/0000-0003-3718-9364
  3. Cheng, H., Chen, W., Deng, Z., Yin, M., Zhuang, C., Qi, Z., Xue, N., & Liu, C. (n.d.). A highly sensitive label-free aptamer sensor for timely detection of human serum albumin. https://doi.org/10.1039/d5ra05254

  4. He, B., Liu, C., Qi, Z., Xue, N., & Yao, L. (n.d.). NeuroGator: A low-power gating system for asynchronous BCI based on LFP brain state estimation. https://doi.org/10.3390/brainsci16020141

  5. Global Scholar Awards. (n.d.). Global Scholar Awards. https://globalscholarawards.com/

Kyuhwan Kim | Chemical Engineering | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Kyuhwan Kim
Incheon National University, South Korea

Kyuhwan Kim
Affiliation Incheon National University
Country South Korea
Subject Area Chemical Engineering
Event Global Scholar Awards
ORCID 0009-0000-9974-420X

Kyuhwan Kim is presented in this academic recognition profile as a researcher affiliated with Incheon National University and working within Chemical Engineering. The available information supports the stated institutional affiliation, country, subject area, ORCID identifier, and award context. Bibliometric values and publication-specific evidence are not supplied and are therefore not inferred.

Abstract

Kyuhwan Kim is a researcher affiliated with Incheon National University, South Korea, working in Chemical Engineering. This recognition profile summarizes the available researcher identity, disciplinary context, and relevance to an Innovative Research Award. The supplied information confirms an ORCID identifier and institutional affiliation, while Scopus ID, documents, citations, h-index, and publication records are not provided. Accordingly, the article avoids unsupported bibliometric claims and emphasizes transparent scholarly evaluation. Research contributions, impact, publication evidence, and award suitability should be assessed using authoritative records, documented outputs, originality, methodological rigor, collaboration, and practical significance within chemical engineering and related technological fields for scholarly assessment.

Keywords

Chemical engineering, process engineering, process optimization, materials, catalysis, reaction engineering, energy, sustainability, modeling, innovation, and engineering research.

Introduction

Kyuhwan Kim’s research profile is situated within chemical engineering, with emphasis on advancing engineering knowledge through systematic investigation, analytical methods, and application-oriented problem solving. At Incheon National University, the profile can be considered in relation to contemporary chemical engineering priorities, including process development, materials, energy, sustainability, and technological innovation today. [1]

Research Profile

Kyuhwan Kim is presented as a researcher affiliated with Incheon National University in South Korea and working within Chemical Engineering. The available information identifies an ORCID record but does not provide Scopus metrics, publication counts, citation totals, or h-index values. Accordingly, this profile distinguishes documented identifiers from unverified information presently. [2]

Research Contributions

Kyuhwan Kim’s potential research contributions are framed around chemical engineering scholarship, where rigorous experimentation, process analysis, modeling, and technological evaluation support development of useful engineering solutions. Without supplied publication records, specific findings cannot be attributed confidently. The recognition profile therefore emphasizes research capability, disciplinary relevance, methodological rigor, and evidence-based contribution. [3]

Publications

Kyuhwan Kim’s publication record has not been supplied in the available source data, so individual articles, journals, publication dates, citations, and digital object identifiers cannot be stated as verified facts. For scholarly documentation, publications should be cross-checked against Scopus, ORCID, publisher pages, and DOI registration services verified carefully. independently.

Research Impact

Kyuhwan Kim’s research impact should be assessed through verifiable scholarly indicators, including publication quality, citation activity, collaboration, originality, and practical relevance. Because numerical metrics and publication evidence were not supplied, this article avoids assigning unsupported impact values. The profile instead presents a transparent framework for evaluating academic influence framework within the discipline. [1]

Award Suitability

Kyuhwan Kim’s profile aligns with an Innovative Research Award focused on recognizing advancement within a scientific or engineering discipline. Eligibility and selection should depend on documented research outputs, originality, technical significance, evidence of impact, and compliance with the award’s official requirements. Final assessment should remain independent and evidence based. [2]

Conclusion

Kyuhwan Kim’s recognition profile provides a structured overview of a researcher in Chemical Engineering at Incheon National University. The available identifiers support basic affiliation and researcher identification, while detailed bibliometric and publication evidence remains unspecified. A complete scholarly evaluation should incorporate verified publications, citations, research outcomes, collaboration, and documented innovation. [2]

References

    1. Kim, K. H., & Song, C. G. (n.d.). A screening-level multi-criteria decision-support framework for prioritizing dual-use chemical scenarios in emergency preparedness. https://doi.org/10.3390/app16146843

    2. ORCID. (n.d.). ORCID record for Kyuhwan Kim, ORCID iD 0009-0000-9974-420X. ORCID.
      https://orcid.org/0009-0000-9974-420X
    3. Global Scholar Awards. (n.d.). Global Scholar Awards: Official award information.
      https://globalscholarawards.com/

Wael Megid | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

 TISEC- Canada
Wael Megid
Affiliation TISEC
Country Canada
Scopus ID 57194328472
Documents 10
Citations 253
h-index 8
Subject Area Engineering
Event Global Scholar Awards
ORCID 0000-0001-9385-0415

Wael Megid is a civil engineering researcher associated with TISEC in Canada, with scholarly work spanning nondestructive evaluation, structural health monitoring, concrete rheology, and infrastructure assessment. His publication record includes studies on acoustic emission, guided waves, self-consolidating concrete, multilayer casting, surface quality, and engineering diagnostics for practical structural applications today. [2] [3]

Abstract

Wael Megid presents an engineering research profile centered on structural assessment, nondestructive testing, concrete materials, and infrastructure performance. His published work addresses acoustic emission monitoring, guided wave inspection, fatigue crack detection, self-consolidating concrete, rheology, multilayer casting, bond behavior, permeability, and concrete surface quality. Across these themes, his studies connect experimental methods with practical engineering evaluation for bridges, railway components, pressure vessels, tanks, and cementitious systems. The available scholarly record also reflects collaboration across academic and applied settings. With documented publications, citations, and an established h-index, his profile demonstrates sustained contributions relevant to research recognition within engineering and applied infrastructure practice. [3] [4]

Keywords

Acoustic emission, guided waves, nondestructive testing, structural health monitoring, fatigue cracks, railway tracks, self-consolidating concrete, rheology, thixotropy, structural buildup, multilayer casting, bond strength, permeability, flexural strength, workability, static yield stress, lift lines, formwork, concrete surface quality, image processing, segregation, infrastructure assessment, materials characterization, and diagnostics. [3] [4] [5]

Introduction

Wael Megid works across civil engineering domains where material behavior, structural integrity, and technologies intersect. His research includes investigations of concrete workability and thixotropy alongside nondestructive methods for detecting deterioration. This combination supports engineering decisions concerning construction quality, infrastructure monitoring, maintenance planning, and interpretation of structural performance under service conditions. [3] [4]

Research Profile

Wael Megid has a publication profile combining engineering research, applied inspection, and materials characterization. Public records identify doctoral training in civil engineering and professional activity in nondestructive testing. His work links laboratory investigation with field assessment, while Scopus metrics supplied report ten documents, 253 citations, and an h-index of eight. [1] [2]

Research Contributions

Wael Megid has contributed to research on acoustic emission, guided ultrasonic waves, self-consolidating concrete, and structural buildup at rest. His studies examine crack monitoring in steel bridge components, railway track inspection, concrete bond development, transport properties, and surface defects, connecting measurable signals and material behavior with engineering condition assessment methods. [3] [4]

Publications

Wael Megid has authored and coauthored publications addressing fatigue crack monitoring, concrete rheology, multilayer casting, bond strength, and surface quality. Representative works include studies in Engineering Fracture Mechanics, Construction and Building Materials, and ACI journals, with DOI-indexed articles on acoustic emission, self-consolidating concrete behavior, formwork effects, and structural buildup research. [3] [4] [5]

Research Impact

Wael Megid shows measurable scholarly influence through citations to work in structural monitoring, concrete technology, and nondestructive evaluation. Supplied Scopus indicators list 253 citations and an h-index of eight across ten documents. Citation activity around guided waves, acoustic emission, and concrete rheology indicates relevance for infrastructure performance and diagnostic research. [1] [3]

Award Suitability

Wael Megid aligns with Best Researcher Award considerations through peer-reviewed engineering publications, citation impact, methodological diversity, and practical relevance. His research addresses infrastructure safety, structural assessment, construction materials, and nondestructive inspection. These characteristics support evaluation through scholarly contribution, research influence, interdisciplinary application, and usefulness of engineering knowledge in applied settings. [1] [3]

Conclusion

Wael Megid represents an engineering research profile shaped by structural integrity, materials performance, and inspection science. His publications connect concrete rheology and construction behavior with acoustic and ultrasonic diagnostics. Documented citation impact, publication diversity, and applied orientation provide a basis for academic recognition within the Global Scholar Awards evaluation framework. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Wael Megid, Author ID 57194328472. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57194328472
  2. ORCID. (n.d.). Wael A. Megid: ORCID 0000-0001-9385-0415. ORCID Registry.https://orcid.org/0000-0001-9385-0415
  3. Megid, W. A., Chainey, M.-A., Lebrun, P., & Hay, D. R. (2019). Monitoring fatigue cracks on eyebars of steel bridges using acoustic emission: A case study. Engineering Fracture Mechanics, 211, 198–208.https://doi.org/10.1016/j.engfracmech.2019.02.022
  4. Megid, W. A., & Khayat, K. H. (2019). Effect of structural buildup at rest of self-consolidating concrete on mechanical and transport properties of multilayer casting. Construction and Building Materials, 196, 626–636.https://doi.org/10.1016/j.conbuildmat.2018.11.112
  5. Megid, W. A., & Khayat, K. H. (2020). Variations in surface quality of self-consolidating and highly workable concretes with formwork material. Construction and Building Materials, 238, 117638.https://doi.org/10.1016/j.conbuildmat.2019.117638

Alberto Teyssedou | Energy | Research Excellence Award

Published on by Global Scholar Awards

Best Researcher Award

Alberto Teyssedou — Polytechnique Montreal, Canada

Alberto Teyssedou
Affiliation Polytechnique Montreal
Country Canada
Scopus ID 6602828847
Documents 75
Citations 972
h-index 15
Subject Area Energy
Event Global Scholar Awards

Alberto Teyssedou is an energy and nuclear engineering researcher whose documented work addresses thermal hydraulics, supercritical water behavior, multiphase transport, thermodynamic optimization, photovoltaic thermal systems, and industrial waste heat recovery. His scholarly record connects experimental measurements, numerical simulations, and energy system assessment with applications relevant to reactor engineering and efficient energy conversion. [1]

Abstract

Alberto Teyssedou has contributed to energy and nuclear engineering through research on thermal hydraulics, multiphase flow, supercritical water systems, power plant optimization, exergy analysis, and integrated energy technologies. His publication record includes experimental, numerical, and thermodynamic studies addressing heat transfer, critical flow, reactor systems, photovoltaic thermal conversion, and waste heat recovery. At Polytechnique Montreal, his work has also supported graduate research across nuclear and energy engineering. With 75 Scopus indexed documents, 972 citations, and an h-index of 15, his profile reflects sustained scholarly activity connecting fundamental transport phenomena with practical energy system analysis and engineering applications internationally across international contexts. [1]

Keywords

Alberto Teyssedou’s publication-based keywords include thermal hydraulics, nuclear engineering, energy systems, supercritical water, choking flow, multiphase flow, critical heat flux, computational fluid dynamics, CANDU reactors, heat transfer, exergy analysis, photovoltaic thermal systems, thermodynamic optimization, Stirling engines, waste heat recovery, heat exchangers, power plants, energy efficiency, renewable energy, and fluid mechanics. [1]

Introduction

Alberto Teyssedou conducts research at the intersection of energy systems, thermal sciences, and nuclear engineering, with publications spanning experimental fluid mechanics, reactor thermal hydraulics, thermodynamic optimization, and renewable energy analysis. His work frequently combines modeling, numerical simulation, and investigation to evaluate performance, safety, efficiency, and energy conversion processes across technologies. [1]

Research Profile

Alberto Teyssedou is affiliated with Polytechnique Montreal in Canada and is associated with research in energy and nuclear engineering. His Scopus profile reports 75 documents, 972 citations, and an h-index of 15. Institutional publication records show extensive authorship and graduate supervision across thermal hydraulics, energy optimization, and transport phenomena research. [1]

Research Contributions

Alberto Teyssedou has contributed to studies of supercritical water choking flow, CANDU reactor moderator circulation, critical heat flux, multiphase transport, heat exchanger networks, and energy system optimization. Collaborative publications examine photovoltaic thermal systems, exergy methods, Stirling engine waste heat recovery, and thermodynamic cycle modeling, linking efficiency with engineering design decisions. [2] [3]

Publications

Alberto Teyssedou’s publications include research in Nuclear Engineering and Design, Energy and Buildings, Energy Conversion and Management, Solar Energy, Applied Thermal Engineering, and journals. Representative studies address nuclear power plant secondary loop optimization, photovoltaic thermal exergy analysis, supercritical water choking experiments, and recovery of aluminum smelter losses using Stirling engines. [2] [3] [4]

Research Impact

Alberto Teyssedou’s reported Scopus indicators of 972 citations and an h-index of 15 suggest sustained use of his research within scholarly literature. His work reaches multiple energy domains, while institutional records document a broad publication history and graduate supervision, indicating influence through published engineering studies and academic researcher development activities. [1]

Award Suitability

Alberto Teyssedou’s profile is relevant to Best Researcher Award consideration because it demonstrates sustained publication, measurable citation impact, interdisciplinary energy research, and contributions to experimental and computational engineering. Assessment should consider supplied Scopus metrics alongside publication quality, methodological rigor, supervision, collaboration, and alignment with the Global Scholar Awards evaluation framework.

Conclusion

Alberto Teyssedou presents an established research profile centered on energy conversion, thermal hydraulics, nuclear systems, and thermodynamic analysis. His publications combine experimental evidence, simulation, optimization, and system evaluation across conventional, nuclear, and renewable energy applications. Available bibliometric indicators and institutional records support a balanced academic assessment of his research contributions. [1]

References

    1. Elsevier. (n.d.). Scopus author details: Alberto Teyssedou, Author ID 6602828847. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=6602828847
    2. Saloux, É., Teyssedou, A., & Sorin, M. (2013). Analysis of photovoltaic (PV) and photovoltaic/thermal (PV/T) systems using the exergy method. Energy and Buildings, 67, 275–285. https://doi.org/10.1016/j.enbuild.2013.08.012
    3. Cascella, F., Gaboury, S., Sorin, M., & Teyssedou, A. (2018). Proof of concept to recover thermal wastes from aluminum electrolysis cells using Stirling engines. Energy Conversion and Management, 172, 497–506. https://doi.org/10.1016/j.enconman.2018.07.048
    4. Teyssedou, A., Dipama, J., Hounkonnou, W., & Aubé, F. (2010). Modeling and optimization of a nuclear power plant secondary loop. Nuclear Engineering and Design, 240(6), 1403–1416. https://doi.org/10.1016/j.nucengdes.2010.01.019
    5. Teyssedou, A., Muftuoglu, A., & Hidouche, A. (2021). Supercritical Water Choking Flow Experiments Through a Convergent-Divergent Test Section. Journal of Nuclear Engineering and Radiation Science, 7(3). https://doi.org/10.1115/1.4048009

Souad Ezzerouali | Social Sciences | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Souad Ezzerouali
United Arab Emirates University, United Arab Emirates

Souad Ezzerouali
Affiliation United Arab Emirates University
Country United Arab Emirates
Scopus ID 58768097500
Documents 35
Citations 93
h-index 5
Subject Area Social Sciences
Event Global Scholar Awards
ORCID 0000-0002-1635-1978

Souad Ezzerouali is a researcher affiliated with United Arab Emirates University whose scholarly profile is situated within the Social Sciences. Her indexed research record comprises 35 documents, 93 citations, and an h-index of 5, providing a bibliometric basis for consideration in the Best Researcher Award category. [1] Her researcher identification is additionally associated with ORCID, supporting consistent attribution of scholarly work across research communication systems. [2]

Abstract

Souad Ezzerouali is a social sciences researcher affiliated with United Arab Emirates University, with a documented scholarly record indexed through Scopus and complemented by ORCID identification. Her profile records 35 documents, 93 citations, and an h-index of 5, indicating sustained participation in scholarly research and dissemination. Her academic profile is relevant to recognition focused on research productivity, scholarly visibility, and contribution to the Social Sciences. The Best Researcher Award assessment can consider the documented publication record, citation performance, research continuity, institutional affiliation, and broader scholarly engagement. These indicators provide an evidence-based foundation for evaluating her research profile within the Global Scholar Awards framework. [1]

Keywords

Social Sciences, social research, scholarly communication, research productivity, academic research, citation impact, interdisciplinary research, research evaluation, scholarly publications, United Arab Emirates University.

Introduction

Souad Ezzerouali is associated with United Arab Emirates University and is represented in scholarly indexing under the Social Sciences subject area. Her academic record can be examined through established researcher-identification and bibliometric platforms, including Scopus and ORCID. [1] [2] The available bibliometric profile records 35 documents, 93 citations, and an h-index of 5. These indicators offer measurable evidence of publication activity and citation visibility, although bibliometric measures should be interpreted alongside research quality, originality, disciplinary context, collaboration, and societal or academic relevance. [1]

Research Profile

Souad Ezzerouali has a research profile positioned within the Social Sciences, with scholarly activity represented through an indexed publication record. The reported Scopus indicators of 35 documents, 93 citations, and an h-index of 5 provide a concise quantitative description of her indexed research output and citation performance. [1] The combination of publication volume and citation activity indicates an established research presence that can be further interpreted through individual publications, authorship patterns, journals, subject classifications, and collaboration networks. ORCID provides an additional persistent identifier for distinguishing the researcher and connecting scholarly outputs with the appropriate author record. [2]

Research Contributions

Souad Ezzerouali contributes to the Social Sciences through sustained scholarly publication and dissemination. The documented research record demonstrates continued participation in academic knowledge production, while the citation profile indicates that published work has received measurable scholarly attention. Assessment of contribution should extend beyond numerical indicators to the intellectual significance of individual studies, methodological rigor, relevance to social-science scholarship, collaboration, and potential usefulness to researchers and practitioners. [1]

Publications

Souad Ezzerouali has a Scopus-indexed record comprising 35 documents. The supplied researcher information does not provide a verified publication-by-publication bibliography or individual DOI list; therefore, specific article titles, journals, publication years, and DOI identifiers are not asserted here. The Scopus author profile remains the appropriate source for reviewing the indexed publication record and associated bibliographic information. [1] 

Research Impact

Souad Ezzerouali has a reported citation count of 93 and an h-index of 5 within the supplied Scopus profile information. These measures indicate that her indexed publications have accumulated scholarly citations and that multiple publications have achieved a measurable level of citation recognition. Citation indicators are useful for assessing scholarly visibility but do not independently establish research quality or societal impact. [1]

Award Suitability

Souad Ezzerouali presents several documented indicators relevant to consideration for the Best Researcher Award, including affiliation with a recognized university, a Scopus-indexed record of 35 documents, 93 citations, and an h-index of 5. These indicators provide a measurable basis for assessing research productivity and scholarly visibility within the Social Sciences. [1]

Conclusion

Souad Ezzerouali is a Social Sciences researcher affiliated with United Arab Emirates University, with a supplied Scopus profile recording 35 documents, 93 citations, and an h-index of 5. [1] These indicators demonstrate a documented record of scholarly publication and citation visibility. Her ORCID identifier further supports consistent attribution of research outputs. [2]

References

  1. Elsevier. (n.d.). Scopus author details: Souad Ezzerouali, Author ID 58768097500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58768097500
  2. ORCID. (n.d.). Souad Ezzerouali — ORCID record 0000-0002-1635-1978. ORCID.
    https://orcid.org/0000-0002-1635-1978
  3. Google Scholar. (n.d.). Souad Ezzerouali — scholarly publications and citation profile.
    Google Scholar Profile
  4. ResearchGate. (n.d.). Souad Ezzerouali — researcher profile. ResearchGate.
    https://www.researchgate.net/profile/Souad-Ezzerouali
  5. Global Scholar Awards. (n.d.). Global Scholar Awards.
    https://globalscholarawards.com/

Ioannis Vasios | Medicine and Dentistry | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Ioannis Vasios — University General Hospital of Alexandroupolis, Greece

Ioannis Vasios
Affiliation University General Hospital of Alexandroupolis
Country Greece
Scopus ID 57809175800
Documents 11
Citations 77
h-index 3
Subject Area Medicine and Dentistry
Event Global Scholar Awards
ORCID 0009-0007-4572-6074

Ioannis Vasios is an orthopaedic researcher affiliated with the University General Hospital of Alexandroupolis in Greece, with scholarly work spanning joint reconstruction, arthroplasty, knee osteoarthritis, infection management, complex bone reconstruction, and musculoskeletal diagnostic challenges. His publication record includes peer-reviewed clinical research, narrative reviews, and case reports addressing contemporary orthopaedic practice. [1] [2]

Abstract

Ioannis Vasios is an orthopaedic researcher affiliated with the University General Hospital of Alexandroupolis in Greece. His documented scholarly work addresses major joint reconstruction, knee osteoarthritis, total knee arthroplasty, hip arthroplasty, orthopaedic infection prevention, bone defects, and unusual musculoskeletal presentations. His publications include narrative reviews, prospective cohort research, case reports, and clinical investigations published in peer-reviewed journals. Current bibliographic records identify 11 documents, 77 citations, and an h-index of 3 in the supplied Scopus profile. His ORCID identifier provides a persistent research identity. Collectively, these records indicate an emerging clinical research profile centered on contemporary orthopaedic practice and evidence-based care.

Keywords

Orthopaedic surgery, major joint reconstruction, total knee arthroplasty, patellar management, proximal fibular osteotomy, knee osteoarthritis, total hip arthroplasty, acetabular revision, femoral bone defects, orthopaedic infection prevention, super-oxidised solutions, musculoskeletal imaging, osteomalacia, postoperative instability, joint preservation, arthroplasty revision, trauma, clinical case reports, and evidence-based surgical practice.

Introduction

Ioannis Vasios conducts clinical orthopaedic research at the University General Hospital of Alexandroupolis in Greece, with work connected to major joint reconstruction. His publications examine surgical decision-making, joint preservation, knee and hip arthroplasty, infection management, complex reconstruction, and diagnostic challenges. These themes place his research within contemporary evidence-based musculoskeletal medicine. [1] [3]

Research Profile

Ioannis Vasios has a developing publication record spanning orthopaedic surgery, trauma, arthroplasty, musculoskeletal imaging, and reconstruction. Recent publications demonstrate involvement in collaborative research and include prospective cohort research, narrative synthesis, and case-based scholarship. His supplied Scopus metrics provide a quantitative snapshot of scholarly activity, while ORCID supports persistent research attribution. [1] [2]

Research Contributions

Ioannis Vasios contributes to orthopaedic literature through studies addressing clinical problems in knee and hip reconstruction, postoperative instability, infection prevention, bone loss, and unusual musculoskeletal conditions. His work on proximal fibular osteotomy evaluates joint-preserving treatment in Western patients, while other publications consider patellar management, revision arthroplasty, and complex femoral defects. [2] [4]

Publications

Ioannis Vasios has published research on patellar management in total knee arthroplasty, proximal fibular osteotomy for medial compartment knee osteoarthritis, osteomalacia following iron infusion therapy, orthopaedic infection prevention using super-oxidised solutions, acetabular revision with trabecular titanium constructs, and revision total hip arthroplasty with short femoral stems. These publications reflect questions. [2] [3] [4] [5]

Research Impact

Ioannis Vasios demonstrates research impact through publications, citation activity, and contributions to clinically relevant orthopaedic topics. The supplied Scopus record reports 77 citations and an h-index of 3. His publications address treatment selection, surgical reconstruction, diagnostic interpretation, and infection management, offering evidence and clinical perspectives that may inform specialist discussion. [1] [4]

Award Suitability

Ioannis Vasios presents a profile consistent with consideration for an Innovative Research Award in medical and orthopaedic research. His documented publications demonstrate engagement with contemporary clinical problems, diverse study designs, and collaborative scholarship. Award assessment should rely on independently verified bibliographic records, research originality, methodological quality, contribution, and professional impact. [1] [2]

Conclusion

Ioannis Vasios represents an emerging orthopaedic research profile associated with the University General Hospital of Alexandroupolis in Greece. His documented work covers arthroplasty, knee preservation, infection prevention, complex reconstruction, imaging, and unusual clinical presentations. Peer-reviewed publications, indexed citation activity, and persistent researcher identification provide a coherent basis for scholarly recognition. [2] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Ioannis Vasios, Author ID 57809175800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57809175800
  2. Vasios, I. S., Georgoulas, P., Makiev, K. G., Iliopoulos, E., Ververidis, A., Drosos, G., & Tilkeridis, K. (2026). Patellar management in primary total knee arthroplasty: A narrative review and evidence-based framework for clinical decision-making. Journal of Orthopaedic Surgery. https://doi.org/10.1177/10225536261421097
  3. Vasios, I. S., Valsamaki, P. N., Tilkeridis, K., Deftereos, S., & colleagues. (2026). Osteomalacia Following Iron Infusion Therapy in a Patient With Rendu-Osler-Weber Syndrome: F-18-FDG PET/CT Discrimination of a Stress Fracture in the Setting of a Musculoskeletal Tumor Mimic. Clinical Case Reports, 14(2), e72134. https://doi.org/10.1002/ccr3.72134
  4. Makiev, K. G., Vasios, I. S., Iliopoulos, E., Ververidis, A., Drosos, G., Chloropoulou, P. P., Deftereos, S. P., & Tilkeridis, K. (2026). Proximal fibular osteotomy for medial compartment knee osteoarthritis: A prospective cohort study in a Western population. Journal of Orthopaedic Surgery. https://doi.org/10.1177/10225536261437217
  5. Vasios, I. S., Makiev, K. G., Iliopoulos, E., Drosos, G., & colleagues. (2025). Revision of Total Hip Arthroplasties Using Short Femoral Stems: Is It Possible? Journal of Orthopaedic Case Reports, 15(7), 43–47. https://doi.org/10.13107/jocr.2025.v15.i07.5762

Ni Cheng | Agricultural and Biological Sciences | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Ni Cheng
Northwest University, China
Ni Cheng
Affiliation Northwest University
Country China
Scopus ID 36522494000
Documents 80
Citations 3,372
h-index 33
Subject Area Agricultural and Biological Sciences
Event Global Scholar Awards
ORCID 0000-0002-4514-6957

Ni Cheng is a researcher at Northwest University, China, working within agricultural and biological sciences with particular emphasis on food science, bee products, functional ingredients, and bioactivity. Her Scopus-indexed profile records 80 documents, 3,372 citations, and an h-index of 33, supporting scholarly evaluation for the Best Researcher Award category consideration. [1]

Abstract

Ni Cheng conducts research in food science, bee products, functional foods, bioactive compounds, fermentation, and nutrition-related biological effects at Northwest University in China. Her publication record includes studies on honey, bee pollen, polyphenols, gut microbiota, oxidative stress, liver protection, food authentication, and processing technologies. This work combines chemical characterization, biological evaluation, analytical methods, and experimental models to examine food quality and health-related functionality. With 80 Scopus-indexed documents, 3,372 citations, and an h-index of 33, her profile demonstrates sustained scholarly activity. These contributions provide a relevant basis for consideration under the Best Researcher Award category within agricultural and biological sciences research. [1]

Keywords

Ni Cheng’s publication-based keywords include bee pollen, honey, polyphenols, functional foods, food chemistry, antioxidant activity, hepatoprotection, gut microbiota, fermentation, bioactive compounds, food authentication, chemometrics, chromatography, lipid oxidation, cold plasma, oxidative stress, DNA protection, metabolic health, botanical origin, nutritional biochemistry, Lactobacillus, volatile compounds, and food processing within agricultural sciences research applications. [3] [4] [5]

Introduction

Ni Cheng is affiliated with Northwest University in China, where her research centers on food science and the biological properties of bee-derived products. Her work addresses compositional analysis, antioxidant activity, functional ingredients, food processing, and nutrition-related mechanisms, connecting agricultural resources with experimental approaches relevant to food quality and human health. [2] [3]

Research Profile

Ni Cheng has developed a research profile spanning honey, bee pollen, polyphenols, fermentation, analytical chemistry, food authenticity, and functional foods. Her studies frequently integrate chemical profiling with cellular or animal models, allowing food components to be evaluated not only for composition and quality but also for biological and nutritional significance. [3] [4]

Research Contributions

Ni Cheng has contributed to research on honey bioactivity, pollen processing, gut microbiota modulation, oxidative damage, liver protection, and food authentication. Publications associated with her profile examine both bee products and modern processing strategies, including fermentation and cold plasma, while applying biochemical, chromatographic, microbiological, and experimental methods across food science. [3] [5]

Publications

Ni Cheng’s publications include studies of Schisandra chinensis bee pollen in diet-induced metabolic dysfunction, honey polyphenols in experimental colitis, jujube honey and hepatocellular carcinoma cells, antioxidant and hepatoprotective effects of Apis cerana honey, and analytical identification of botanical origins using amino-acid profiles, chromatography, chemometrics, and related food-science methods approaches broadly. [3] [4]

Research Impact

Ni Cheng’s Scopus profile reports 80 documents, 3,372 citations, and an h-index of 33, indicating a substantial level of indexed scholarly output and citation activity. These metrics should be interpreted alongside publication quality, research continuity, methodological contribution, collaboration, and the relevance of her work to agricultural and biological sciences overall. [1]

Award Suitability

Ni Cheng’s record is relevant to Best Researcher Award assessment because it combines sustained publication activity, measurable citation impact, interdisciplinary methods, and a coherent focus on food-derived bioactive materials. Her research links agricultural products with biological evaluation and food technology, providing evidence suitable for structured review under research excellence criteria. [1] [3]

Conclusion

Ni Cheng presents a research portfolio characterized by consistent investigation of bee products, functional foods, food chemistry, processing, and biological effects. Her indexed publication and citation indicators, together with peer-reviewed studies across analytical and experimental domains, provide a documented foundation for academic recognition while remaining appropriate for evidence-based award evaluation. [1] [4]

References

  1. Elsevier. (n.d.). Scopus author details: Ni Cheng, Author ID 36522494000. Scopus.https://www.scopus.com/authid/detail.uri?authorId=36522494000
  2. ORCID. (n.d.). Ni Cheng: ORCID 0000-0002-4514-6957. ORCID.https://orcid.org/0000-0002-4514-6957
  3. Cheng, N., Chen, S., Liu, X., Zhao, H., & Cao, W. (2019). Impact of Schisandra chinensis bee pollen on nonalcoholic fatty liver disease and gut microbiota in high-fat diet induced obese mice. Nutrients, 11(2), 346.https://doi.org/10.3390/nu11020346
  4. Zhao, H., Cheng, N., Zhou, W., Chen, S., Wang, Q., Gao, H., Xue, X., Wu, L., & Cao, W. (2019). Honey polyphenols ameliorate DSS-induced ulcerative colitis via modulating gut microbiota in rats. Molecular Nutrition & Food Research, 63(23), e1900638.https://doi.org/10.1002/mnfr.201900638
  5. Chen, S., et al. (2025). Cold plasma pretreatment of bee pollen: Effects on lipid oxidation, bioactivity, and enzyme activities during storage. Journal of Food Science.https://doi.org/10.1111/1750-3841.70478

Dmytro Charnyi | Earth and Planetary Sciences | Innovative Technology Leadership Award

Published on by Global Scholar Awards

Innovative Technology Leadership Award

Dmytro Charnyi
The Institute of Environmental Geochemistry of National Academy of Sciences of Ukraine

Dmytro Charnyi
Affiliation The Institute of Environmental Geochemistry of National Academy of Sciences of Ukraine
Country Ukraine
Scopus ID 55776816400
Documents 29
Citations 155
h-index 10
Subject Area Earth and Planetary Sciences
Event Global Scholar Awards
ORCID 0000-0001-6150-6433

Dmytro Charnyi is associated with applied environmental research spanning water treatment, groundwater systems, environmental geochemistry, and radioactive-waste management. Institutional records identify him as a Doctor of Technical Sciences and a senior scientist, while recent publications demonstrate applications of conventional treatment technologies and computational forecasting methods to environmental engineering problems. [1]

Abstract

Dmytro Charnyi is a Ukrainian researcher whose work connects environmental geochemistry, water treatment, radioactive waste management, groundwater systems, and applied engineering. His documented research addresses treatment of contaminated water, surface-water quality, groundwater prediction, and technologies relevant to environmental and nuclear safety. Recent publications examine sorption and coagulation for organic components in liquid radioactive waste and artificial neural networks for forecasting groundwater-level fluctuations. His profile indicates sustained scholarly activity across environmental engineering and Earth and planetary sciences, supported by indexed publications, citations, and international research collaboration. These contributions provide a substantive basis for considering technology leadership recognition within contemporary environmental research.

Keywords

Liquid radioactive waste, radionuclides, organic matter, activated carbon, water treatment, sorbents, oxidation, coagulation, filtration, groundwater level, artificial neural networks, data recovery, forecasting, wavelet analysis, surface-water quality, and environmental engineering. These terms reflect recurring subjects in his recent research and support focused academic indexing and discovery.

Introduction

Dmytro Charnyi works at the intersection of environmental engineering, geochemistry, hydrology, and radioactive-waste management. Public institutional records identify him as a Doctor of Technical Sciences and senior scientist at Ukraine’s Institute of Environmental Geochemistry. His research addresses practical environmental problems through treatment technologies, monitoring approaches, groundwater analysis, and applied methods. [1]

Research Profile

Dmytro Charnyi has a documented research profile associated with environmental geochemistry, water resources, radioactive waste, and engineering applications. Institutional sources identify his leadership within radioactive-waste management research, while publication records show work on groundwater forecasting and water-treatment processes. His supplied bibliometric record reports 29 documents, 155 citations, and h-index 10.

Research Contributions

Dmytro Charnyi contributes to environmental technology through research on water purification, contaminant removal, groundwater behavior, and radioactive-waste treatment. Recent work demonstrates adaptation of conventional sorption and coagulation methods for organic components in liquid radioactive waste, while other research applies artificial neural networks to groundwater-level forecasting. These studies support engineering decisions. [2][3]

Publications

Dmytro Charnyi‘s recent publication record includes studies of water treatment, groundwater dynamics, surface-water quality, and environmental technologies. Notable works include research on conventional treatment of organic components in liquid radioactive waste and forecasting groundwater-level fluctuations using artificial neural networks. Earlier studies addressed surface-source water quality and selection of treatment methods. [2][3][4]

Research Impact

Dmytro Charnyi‘s research impact is reflected in scholarly citation activity and application-oriented environmental research. The reported record of 155 citations and an h-index of 10 indicates measurable academic research visibility, while his publications address problems with direct relevance to water safety, environmental monitoring, radioactive-waste management, and engineering decision-making in Ukraine. [1]

Award Suitability

Dmytro Charnyi demonstrates characteristics relevant to an Innovative Technology Leadership Award through sustained work connecting scientific research with practical environmental technologies. His documented research integrates water treatment, groundwater forecasting, radioactive-waste management, and computational methods. These areas show an orientation toward applied innovation, interdisciplinary problem-solving, and technology-informed environmental protection and safety. [2][3][5]

Conclusion

Dmytro Charnyi represents a research profile centered on applied environmental engineering and technology development. His publications and institutional activities connect water treatment, groundwater analysis, environmental geochemistry, and radioactive-waste management. The documented record supports recognition for research-informed technological leadership where scientific methods are translated into approaches for monitoring, treatment, and safety. [1][2]

References

  1. Google Scholar. (n.d.). Dmytro Charnyi: Google Scholar profile. https://scholar.google.com.ua/citations?user=5nTmWpYAAAAJ&hl=uk
  2. Charnyi, D., Zabulonov, Y., Lukianova, V., Anpilova, Y., Chernova, N., Matselyuk, Y., & Marisyk, S. (2026). Adaptation of conventional water treatment technologies for organic component removal from liquid radioactive waste: sorption and coagulation mechanisms. Scientific Reports, 16, 2626. https://doi.org/10.1038/s41598-026-36799-2
  3. Charnyi, D., & Shevchenko, O. (2025). Forecasting of medium and long-term components of groundwater level fluctuations using artificial neural networks method. Meteorology, Hydrology, Environmental Monitoring, 2(8), 102–113. https://doi.org/10.15407/Meteorology2025.08.102
  4. Charnyy, D., Matseluk, Y., Levytska, V., Marysyk, S., & Chernova, N. (2021). Peculiarities of formation of water quality of surface sources of water supply as a factor of a choice of a method of water treatment. Land Reclamation and Water Management, (2), 45–54. https://doi.org/10.31073/mivg202102-307
  5. Helmholtz Centre for Environmental Research. (2026). Publication details: Adaptation of conventional water treatment technologies for organic component removal from liquid radioactive waste: sorption and coagulation mechanisms. https://www.ufz.de/index.php?en=20939&pub_id=31912

Jiyang Yi | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Jiyang Yi — Nanjing Forestry University, China

Jiyang Yi
Affiliation Nanjing Forestry University
Country China
Scopus ID 58249403100
Documents 28
Citations 320
h-index 11
Subject Area Engineering
Event Global Scholar Awards
ORCID 0009-0006-2838-7739

Jiyang Yi is an engineering researcher affiliated with Nanjing Forestry University in China. His scholarly profile encompasses structural engineering, construction materials, composite structures, experimental mechanics, and data-driven engineering analysis. Available scholarly records associate his work with reinforced concrete, steel–concrete systems, bamboo composites, and machine-learning approaches for structural prediction and assessment.[3]

Abstract

Jiyang Yi is an engineering researcher at Nanjing Forestry University, China, whose scholarly work spans structural engineering, construction materials, composite structures, and data-driven prediction. His publications address concrete-filled steel tubes, bamboo-based composites, BFRP systems, reinforced concrete, structural connectors, and machine-learning methods for engineering assessment. The supplied profile records 28 documents, 320 citations, and an h-index of 11. Recent publications further indicate engagement with sustainable materials, constitutive modeling, axial compression, shear capacity, and interpretable predictive approaches. This research profile reflects an interdisciplinary orientation toward structural performance, material innovation, computational analysis, and practical challenges in contemporary civil engineering and infrastructure and innovation.

Keywords

Structural engineering, concrete-filled steel tubes, reinforced concrete columns, bamboo composites, laminated bamboo, BFRP composites, composite structures, axial compression, constitutive modeling, structural capacity prediction, machine learning, interpretable models, construction materials, sustainable materials, seismic performance, shear capacity, engineering applications, and infrastructure resilience and bridge engineering resilience systems.

Introduction

Jiyang Yi’s research profile is situated within contemporary engineering research concerned with structural materials and systems. His scholarly activities connect experimental investigation with computational analysis and address materials and structural configurations relevant to construction and infrastructure. Records associated with his ORCID identify Nanjing Forestry University as his institutional affiliation since 2019. [1]

Research Profile

Jiyang Yi’s research profile is centered on engineering materials and structural systems, with publications addressing composite members, concrete, steel, bamboo, fiber-reinforced polymers, and predictive modeling. His work combines experimental investigation with computational analysis, reflecting an interdisciplinary approach to understanding structural behavior, material performance, and practical engineering design challenges in infrastructure.

Research Contributions

Jiyang Yi has contributed to studies of composite structural members, including concrete-filled steel tubes, bamboo-based systems, BFRP-strengthened components, and connectors. His publication record also includes machine-learning approaches for predicting structural capacity and engineering behavior. These contributions connect laboratory evidence, constitutive understanding, and interpretable computational methods within contemporary structural engineering research.

Publications

Jiyang Yi’s documented publications include research on BFRP–steel–BFRP composite plates, damaged BFRP-jacketed concrete-filled steel tubular columns, manufactured-sand concrete shrinkage prediction, bamboo material behavior, and machine-learning prediction of structural capacity. Recent records also associate him with studies of PBL connectors and reinforced-concrete columns, demonstrating continuing publication activity in engineering literature practice. [4]

Research Impact

Jiyang Yi’s research impact can be viewed through scholarly indicators and the practical relevance of his publication themes. The supplied profile records 28 documents, 320 citations, and an h-index of 11. His work addresses structural safety, sustainable construction materials, composite systems, and predictive engineering, areas with continuing relevance to infrastructure. [2]

Award Suitability

Jiyang Yi’s profile is suitable for consideration for a Best Researcher Award in Engineering because it combines publication activity, citation visibility, and research spanning structural materials and computational prediction. The supplied Scopus indicators provide quantitative context, while documented publications demonstrate engagement with experimentally grounded and application-oriented engineering problems within engineering. [3]

Conclusion

Jiyang Yi represents an engineering research profile focused on structural materials, composite systems, and predictive analysis. His documented publications and bibliometric indicators provide a basis for academic recognition, while his work on sustainable materials and machine-learning-assisted engineering reflects current research directions. Continued publication and collaboration may strengthen his scholarly contribution. [3]

References

  1. ORCID. (n.d.). Jiyang Yi — ORCID record. ORCID.
    https://orcid.org/0009-0006-2838-7739
  2. Zhang, Y., Yi, J., Wei, Y., & Zhao, H. (2025). Tensile properties and constitutive model of BFRP–steel–BFRP composite plates. Materials, 18(4), 756. DOI: 10.3390/ma18040756. https://doi.org/10.3390/ma18040756
  3. Fan, W., Wei, Y., Yi, J., Zhao, K., Zhu, B., & Li, G. (2025). Analysis and correction of the shrinkage prediction model for manufactured sand concrete. Materials, 18(16), 3802.  https://doi.org/10.3390/ma18163802
  4. Zheng, K., Bai, X., Yi, J., Zhou, J., Zhang, Y., Dong, F., & Wei, Y. (2026). High-quality dataset and engineering-friendly interpretable machine learning model for predicting shear capacity of perfobond rib connectors. Engineering Applications of Artificial Intelligence, 179, 114996.
    https://dblp.org/rec/journals/eaai/ZhengBYZZDW26
  5. Elsevier. (n.d.). Scopus author details: Jiyang Yi, Author ID 58249403100. Scopus.
    https://www.scopus.com/pages/authors/58249403100