Qingmin Wang | Statistical Computing and Programming | Innovative Research Award

Published on by Statistics

Innovative Research Award

Qingmin Wang,
Zhejiang University.

Qingmin Wang
Affiliation Zhejiang University
Country China
Scopus ID 57322536800
Documents 25
Citations 342
h-index 12
Subject Area Civil Engineering
Event World Statistics Awards
ORCID 0000-0001-6353-7014

Qingmin Wang is a researcher affiliated with Zhejiang University whose indexed scholarly record includes 25 documents, 342 citations, and an h-index of 12. His stated subject area is Civil Engineering. These bibliometric indicators provide a structured overview of his documented research activity and scholarly visibility. [1]

Abstract

Qingmin Wang is affiliated with Zhejiang University, China, and is associated with the field of Civil Engineering. Available bibliometric information records 25 scholarly documents, 342 citations, and an h-index of 12. This article summarizes the documented research profile, contributions, publications, scholarly impact, and relevance to the Innovative Research Award. [1]

Keywords

Civil Engineering; statistical analysis; engineering research; research publications; bibliometrics; scholarly impact; Innovative Research Award; World Statistics Awards.

Introduction

Qingmin Wang is affiliated with Zhejiang University in China and works within Civil Engineering. His documented scholarly profile comprises 25 Scopus-indexed documents, 342 citations, and an h-index of 12. These indicators offer measurable context for reviewing his research activity, publication record, and academic visibility in engineering research. [3]

Research Profile

Wang’s research profile is situated within Civil Engineering and is supported by a documented Scopus author record. The profile identifies Zhejiang University as his affiliation and records 25 documents, 342 citations, and an h-index of 12. These metrics provide quantitative indicators for examining his scholarly output and citation visibility. [1]

Research Contributions

Wang’s documented contributions can be considered through his publication activity and indexed citation record in Civil Engineering. His 25 recorded documents represent a body of scholarly output, while 342 citations indicate subsequent academic referencing. Together, these measures provide evidence for assessing the reach and continuity of his research contributions. [2]

Publications

The available Scopus record identifies 25 documents associated with Qingmin Wang. The indexed publication count provides a measurable basis for describing his scholarly productivity. Individual publication titles, journals, publication years, and DOI information should be verified against authoritative publisher and indexing records before being used for detailed bibliographic analysis. [3]

Research Impact

The recorded citation count of 342 and h-index of 12 provide quantitative measures of Wang’s scholarly visibility within indexed research literature. Citation metrics can help describe how publications have been referenced by subsequent studies, although they should be interpreted alongside publication quality, research context, collaboration, and disciplinary citation practices. [2]

Award Suitability

For the Innovative Research Award, Wang’s documented affiliation, Civil Engineering subject area, publication activity, and citation record provide relevant evidence for consideration. The available metrics indicate an established indexed research profile. Final award assessment should additionally consider submitted research materials, originality, methodological quality, significance, and the evaluation criteria established by the World Statistics Awards. [2]

Conclusion

Qingmin Wang’s academic profile is associated with Zhejiang University and Civil Engineering, with 25 indexed documents, 342 citations, and an h-index of 12. These indicators establish a measurable record of scholarly activity and visibility. Further evaluation can incorporate publication details, research originality, methodological contributions, and supporting academic documentation. [1]

References

  1. Zhao, W., Chang, T., Wang, Q., Li, Y., Cui, Y., Yang, Y., & Sun, B. (2026). Tensile performance of the vertical joint of a novel precast RC shear wall structure with concentrated connection bars: Experimental and numerical investigation. Journal of Building Engineering.

    https://doi.org/10.1016/j.jobe.2026.117242

  2. Zhao, W., Zheng, T., Li, Y., Yang, Y., & Wang, Q. (2025). Shear behavior of keyed vertical joints with lap splices for precast RC frame-shear wall structures. Engineering Structures.

    https://doi.org/10.1016/j.engstruct.2025.121100

  3. Yuan, L., Yang, Y., Wang, Q., Zhao, Q., Cui, Y., & Zhao, W. (2025). Investigation on the dimensions design and anchorage mechanism of headed bars utilized as shear reinforcements.

    https://doi.org/10.1016/j.istruc.2025.108647

Samir idrissi Kaitouni | Environmental and Climate Statistics | Innovative Research Award

Published on by Statistics

Innovative Research Award

Samir Idrissi Kaitouni,
Green Energy Park.

Samir Idrissi Kaitouni
Affiliation Green Energy Park
Country Morocco
Scopus ID 57855356900
Documents 41
Citations 896
h-index 18
Subject Area Ecological Buildings
Event World Statistics Awards
ORCID 0009-0002-8342-4417

The research profile presented here is based primarily on the supplied Scopus and ORCID identifiers and the associated bibliographic indicators. Citation counts and publication metrics are dynamic and may change as indexing databases update their records.[1][2]

Abstract

Samir Idrissi Kaitouni is a Morocco-based researcher affiliated with Green Energy Park (UM6P & IRESEN), with a research focus identified as ecological buildings. The supplied bibliographic record reports 41 documents, 896 citations, and an h-index of 18. These indicators provide a quantitative overview of scholarly productivity and visibility.[1][2]

Keywords

  • Ecological buildings
  • Sustainable buildings
  • Green energy
  • Building performance
  • Energy efficiency
  • Research metrics
  • Sustainable research

Introduction

Research on ecological buildings integrates building science, energy efficiency, environmental assessment, and sustainable design. Within this interdisciplinary context, Samir Idrissi Kaitouni’s affiliation with Green Energy Park connects his research environment with broader renewable-energy and sustainable-development activities. His identified subject area places ecological building research within a quantitatively measurable scholarly framework.[1][3]

Research Profile

The available research profile identifies Samir Idrissi Kaitouni with Green Energy Park (UM6P & IRESEN) in Morocco and associates his scholarly activity with ecological buildings. The supplied Scopus record contains 41 documents, 896 citations, and an h-index of 18, providing measurable indicators of publication activity and citation-based research visibility.[1]

Research Contributions

The researcher’s stated subject area supports investigation of ecological building concepts through approaches related to energy performance, environmental considerations, and sustainable construction. Such research can contribute analytical evidence for improving building efficiency and environmental performance. The documented publication and citation indicators provide a quantitative basis for evaluating the reach of these scholarly contributions.[1][3]

Publications

The supplied Scopus information records 41 documents associated with the researcher. These publications constitute the principal bibliographic basis for assessing research productivity, thematic continuity, and citation performance. Individual publication titles, journal information, and DOI identifiers should be verified directly through the indexed author record before being used as definitive bibliographic evidence.[1]

Research Impact

The reported citation count of 896 and h-index of 18 indicate that the researcher’s publications have received measurable scholarly attention within indexed literature. Citation indicators should be interpreted as bibliometric measures rather than standalone assessments of research quality. They nevertheless provide useful evidence when considered alongside publication content, relevance, and disciplinary contribution.[1]

Award Suitability

The supplied profile is relevant to an Innovative Research Award because it combines an identified research focus in ecological buildings with documented scholarly activity and citation impact. The affiliation with Green Energy Park further situates the work within an environment concerned with energy and sustainability research. Final award assessment remains subject to the applicable evaluation criteria.[1][2]

Conclusion

Samir Idrissi Kaitouni’s profile demonstrates documented research activity in ecological buildings, supported by 41 reported documents, 896 citations, and an h-index of 18. His institutional affiliation and research focus align with sustainability-oriented scholarship. These indicators provide a structured basis for considering his profile within the Innovative Research Award framework of the World Statistics Awards.[1][2]

References

  1. Benfars, M., Alioui, A., Idrissi Kaitouni, S., Youssfi, A., Azalam, Y., Bendada, E. M., & Mabrouki, M. (2026). Cumulative benefits of rammed-earth inertia and roof albedo on building thermal performance across diverse climates: Field measurement and simulation-based assessment.

    https://doi.org/10.1016/j.jobe.2026.116526

  2. Idrissi Kaitouni, S., & Tribiche, A. (2026). Optimal climate-responsive sizing of hybrid PV/BIPV/battery/fuel cell microgrids for zero carbon urban buildings under varying grid integration ratios.

    https://doi.org/10.1016/j.energy.2026.141688

  3. Alioui, A., Idrissi Kaitouni, S., Benfars, M., Azalam, Y., Bendada, E. M., & Mabrouki, M. (2026). Effects of alfalfa fibers on the thermophysical properties of carbon-free adobe bricks to improve the energy efficiency of buildings in hot and semi-arid climates: An innovative approach to sustainable construction. Journal of Building Pathology and Rehabilitation.

    https://doi.org/10.1007/s41024-026-00808-8

Mohamed Elleuch | Health Statistics and Public Health Analysis | Best Researcher Award

Published on by Statistics

Best Researcher Award

Mohamed Elleuch
Affiliation FSS, Sfax
Country Tunisia
Scopus ID 56626761200
Documents 55
Citations 782
h-index 14
Subject Area Medical Image Processing
Event World Statistics Awards
ORCID 0000-0003-4702-7692

Mohamed Elleuch,
FSS, Sfax.

Mohamed Elleuch is a researcher affiliated with FSS, Sfax, Tunisia, whose scholarly profile is associated with medical image processing. His indexed research record comprises 55 documents, 782 citations, and an h-index of 14, providing a bibliometric basis for recognition through the Best Researcher Award. [1]

Abstract

Mohamed Elleuch is a Tunisia-based researcher at FSS, Sfax, working in the field of medical image processing. His Scopus-indexed profile records 55 documents, 782 citations, and an h-index of 14. These indicators provide measurable evidence of sustained scholarly activity and research visibility within his subject area. [1]

Keywords

Mohamed Elleuch; Medical Image Processing; Medical Imaging; Image Analysis; Computer-Aided Diagnosis; Research Metrics; Scopus; Biomedical Imaging; Statistical Analysis; World Statistics Awards.

Introduction

Medical image processing applies computational and analytical methods to extract meaningful information from medical images. Within this interdisciplinary field, Mohamed Elleuch has developed a research profile connected with image analysis and related computational approaches. His indexed scholarly record indicates sustained publication activity and measurable citation visibility. [1] [2]

Research Profile

Elleuch is affiliated with FSS, Sfax, Tunisia, and is associated with medical image processing as a principal subject area. His Scopus profile lists 55 documents and 782 citations, with an h-index of 14. These bibliometric measures describe the documented scale and citation reach of his research output. [1]

Research Contributions

Research in medical image processing contributes computational techniques for improving image interpretation, analysis, classification, and quantitative assessment. Elleuch’s scholarly record places his work within this broader interdisciplinary area, connecting computational image analysis with medical applications. His contribution can therefore be considered in relation to methodological development and the analysis of biomedical imaging data. [1] [2]

Publications

The Scopus-indexed record associated with Mohamed Elleuch contains 55 documents. Publication activity in a specialized research area provides a basis for evaluating scholarly continuity and contribution. The documented citation count of 782 further indicates that portions of this research output have been referenced within the scholarly literature. [1]

Research Impact

Research impact may be considered through publication productivity, citation activity, scholarly visibility, and contribution to a defined research field. Elleuch’s reported record of 55 documents, 782 citations, and an h-index of 14 provides quantitative indicators for assessing his academic footprint. These metrics should be interpreted alongside publication quality and research relevance. [1]

Award Suitability

The Best Researcher Award recognizes scholarly achievement based on evidence such as research productivity, citation performance, subject expertise, and academic contribution. Elleuch’s documented publication and citation record, together with his specialization in medical image processing, provides relevant evidence for consideration. Final suitability should also incorporate the award’s formal evaluation criteria and submitted documentation. [1] [3]

Conclusion

Mohamed Elleuch represents a research profile centered on medical image processing and supported by an established indexed publication record. With 55 documents, 782 citations, and an h-index of 14, his documented scholarly activity offers measurable evidence for academic recognition. Award assessment should consider these indicators alongside research quality and contribution. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Elleuch, Author ID 56626761200. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=56626761200

  2. Haddar, B., Elleuch, M. A., & Damak, C. (2026). Learning to search: A reinforcement learning agent for global optimization. In Applications of Evolutionary Computation: 29th European Conference, EvoApplications 2026.

    https://doi.org/10.1007/978-3-032-23604-3_2

  3. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Jonghoek Kim | Statistical Applications in Engineering | Innovative Research Award

Published on by Statistics

Innovative Research Award

Jonghoek Kim
Affiliation Sejong University
Country South Korea
Scopus ID 34872607400
Documents 138
Citations 1,157
h-index 19
Subject Area Statistics
Event World Statistics Awards
ORCID 0000-0001-7565-068X

Jonghoek Kim,
Sejong University.

Jonghoek Kim of Sejong University, South Korea, is presented in this academic recognition profile in connection with the Innovative Research Award under the World Statistics Awards. The profile summarizes the supplied bibliometric indicators, research orientation, scholarly contributions, publication activity, and potential suitability for recognition in statistics. [1]

Abstract

This academic profile documents Jonghoek Kim’s research standing at Sejong University within the field of Statistics. The supplied record identifies 138 documents, 1,157 citations, and an h-index of 19. The profile considers scholarly contributions, publication activity, research impact, and alignment with the Innovative Research Award. [1]

Keywords

  • Jonghoek Kim
  • Statistics
  • Statistical Research
  • Innovative Research
  • Research Impact
  • Sejong University
  • World Statistics Awards

Introduction

Jonghoek Kim is affiliated with Sejong University in South Korea and is identified with the academic field of Statistics. His scholarly profile is characterized by a substantial indexed publication record and measurable citation activity. The Innovative Research Award recognizes research development, methodological contribution, and sustained academic engagement in statistics. [1]

Research Profile

The supplied research profile records Jonghoek Kim with 138 documents, 1,157 citations, and an h-index of 19. These indicators provide bibliometric evidence of continuing scholarly productivity and citation visibility. His institutional affiliation with Sejong University and subject classification in Statistics establish the principal academic context for this recognition profile. [1]

Research Contributions

Kim’s documented scholarly record indicates sustained contributions within statistics and related quantitative research. His publication volume and citation record suggest engagement with research questions requiring systematic statistical analysis and evidence-based interpretation. Assessment of specific methodological innovations should rely on individual publications, datasets, and peer-reviewed findings rather than bibliometric indicators alone. [1]

Publications

Jonghoek Kim’s supplied Scopus record contains 138 indexed documents, indicating an established publication history. Individual article titles, journals, publication years, and DOI identifiers were not supplied with the profile data; therefore, specific publication claims and DOI assignments are not inferred here. Bibliographic verification should be performed against authoritative publication records. [1]

Research Impact

The reported citation count of 1,157 and h-index of 19 provide quantitative indicators of the visibility and scholarly influence associated with Kim’s indexed research. Such measures can support an assessment of research impact, while interpretation should also consider field differences, publication age, collaboration patterns, and the substantive significance of individual studies. [1]

Award Suitability

Based on the supplied profile, Kim appears academically aligned with an Innovative Research Award focused on Statistics, particularly because of his documented publication activity, citation record, and sustained research engagement. Final award suitability should be determined through formal evaluation of research originality, methodological quality, publications, broader impact, and the applicable award criteria. [1] [4]

Conclusion

Jonghoek Kim’s supplied academic indicators describe an established researcher associated with Sejong University and the field of Statistics. His 138 documents, 1,157 citations, and h-index of 19 provide measurable evidence of scholarly activity and visibility. These indicators support consideration for recognition, subject to comprehensive review of research quality and originality. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Jonghoek Kim, Author ID 34872607400. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=34872607400

  2. ORCID. (n.d.). Jonghoek Kim — ORCID record. ORCID.

    https://orcid.org/0000-0001-7565-068X

  3. Google Scholar. (n.d.). Jonghoek Kim — Google Scholar profile.

    https://scholar.google.com/citations?user=0t1uQMgAAAAJ&hl=en&oi=ao

  4. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Sandreen Hitti | Descriptive and Inferential Statistics | Best Researcher Award

Published on by Statistics

Best Researcher Award

Sandreen Hitti
Affiliation American University of Beirut
Country Lebanon
Scopus ID 59957308700
Documents 2
Citations 3
h-index 1
Subject Area AI and Marketing
Event World Statistics Awards

Sandreen Hitti,
American University of Beirut.

Sandreen Hitti is affiliated with the American University of Beirut and is identified in the supplied bibliographic information as a researcher working at the intersection of artificial intelligence and marketing. Her indexed record currently reports two documents, three citations, and an h-index of one. [1]

Abstract

Sandreen Hitti is an academic researcher affiliated with the American University of Beirut whose supplied scholarly profile is associated with artificial intelligence and marketing. The available indexed record identifies two documents, three citations, and an h-index of one. This page presents a neutral overview of her research profile and award suitability. [1]

Keywords

  • Artificial Intelligence
  • Marketing
  • Digital Marketing
  • Academic Research
  • Research Impact
  • American University of Beirut

Introduction

Sandreen Hitti is affiliated with the American University of Beirut and works within the broad interdisciplinary area of artificial intelligence and marketing. Her available indexed profile records two scholarly documents and three citations, indicating an emerging research record. The profile provides a basis for evaluating her scholarly activity and developing contributions. [1]

Research Profile

Hitti’s supplied research profile identifies artificial intelligence and marketing as her principal subject area. She is affiliated with the American University of Beirut, Lebanon, and has a Scopus author identifier of 59957308700. The indexed record lists two documents, three citations, and an h-index of one, providing measurable indicators of her research activity. [2]

Research Contributions

Hitti’s research profile reflects an interdisciplinary orientation connecting artificial intelligence with marketing-related inquiry. Such a combination can support investigations of technology-enabled consumer analysis, digital decision-making, and data-informed marketing practices. Based on the supplied information, her documented contributions remain limited in number, while her indexed publications provide an identifiable foundation for continued research development. [3]

Publications

The supplied Scopus information records two indexed documents associated with Sandreen Hitti and reports three citations across the indexed record. Specific publication titles, journals, publication years, and DOI identifiers were not provided in the source information available for this profile. Consequently, no unverified publication titles or DOI numbers are attributed here. [2]

Research Impact

The available bibliometric record reports three citations and an h-index of one for Hitti, demonstrating measurable scholarly visibility within the indexed literature. These indicators should be interpreted in relation to publication volume, career stage, field practices, and indexing coverage. The current record therefore indicates emerging rather than extensive bibliometric impact. [3]

Award Suitability

Hitti’s interdisciplinary focus on artificial intelligence and marketing, institutional affiliation, indexed publications, and measurable citation record provide relevant evidence for consideration in a researcher recognition process. Final award suitability should depend on the award’s published criteria, verified publications, research originality, documented outcomes, and independent assessment rather than bibliometric indicators alone. [1]

Conclusion

Sandreen Hitti presents an emerging academic profile at the intersection of artificial intelligence and marketing, supported by affiliation with the American University of Beirut and an indexed Scopus record. Her current metrics include two documents, three citations, and an h-index of one. Further publications and documented research outcomes may strengthen future recognition. [2]

References

  1. Elsevier. (n.d.). Scopus author details: Sandreen Hitti, Author ID 59957308700. Scopus.

    https://www.scopus.com/pages/authors/59957308700

  2. Google Scholar. (n.d.). Sandreen Hitti: Google Scholar profile.

    https://scholar.google.com/citations?user=0AL_z1QAAAAJ&hl=en

  3. Hitti, S., & Ramadan, A. (2026). Humanizing the customer experience with AI chatbots: A study in the food services industry toward achieving SDG 11 and SDG 12. Journal of Business and Socio-economic Development.

    https://doi.org/10.1108/JBSED-05-2025-0153

Dai Chu | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Best Researcher Award

Dai Chu,
Huazhong University of Science and Technology.

Dai Chu
Affiliation Huazhong University of Science and Technology
Country China
Scopus ID 57226126803
Documents 7
Citations 33
h-index 3
Subject Area Robotics, Autonomous Systems and Bio-inspired Motion Planning
Event World Statistics Awards

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Abstract

Dai Chu is associated with research in robotics and bio-inspired engineering, with published studies addressing human palm movement, anthropomorphic robotic hands, grasping, and human-machine interaction. His research combines biomechanical analysis with engineering methods to investigate human-like movement and robotic functionality. Available bibliographic evidence provides a basis for scholarly recognition and evaluation. [1] [2]

Keywords

Robotics; autonomous systems; bio-inspired robotics; humanoid robotic hands; human motion analysis; grasping motion; palm biomechanics; human-machine interaction; robotic design; motion reconstruction; mechanical science.

Introduction

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Research Profile

Dai Chu’s research profile centers on robotics, autonomous systems, and bio-inspired motion planning, with emphasis on humanoid robotic hands and human movement analysis. Indexed work associates him with the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, where he pursues doctoral work in mechanical science. [2] [3]

Research Contributions

Chu has contributed to studies of human palm morphology, hand-motion decomposition, grasping-motion classification, and anthropomorphic robotic-hand design. His publications examine quantitative movement characteristics and kinematic synergies to support robotic systems that reproduce human-like dexterity. These contributions connect biomechanical observation with engineering design, control, and systematic evaluation of advanced robotic hands. [3] [4]

Publications

Dai Chu’s published work includes Decomposition and Reconstruction of Human Palm Movements, Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands, and Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. These studies collectively address human hand mechanics, robotic morphology, grasping performance, and quantitative bio-inspired robotic development. [3] [4]

Research Impact

The research associated with Dai Chu contributes to efforts to improve dexterous and anthropomorphic robotics by translating human movement characteristics into measurable engineering principles. His work has appeared in biomedical engineering, robotics, and bio-inspired robotics venues, providing methods that may support future research in manipulation, assistive technologies, and human-machine systems. [3] [4]

Award Suitability

Based on the supplied profile and indexed research record, Dai Chu demonstrates research activity aligned with robotics, autonomous systems, and bio-inspired motion planning. His documented publications address human-inspired robotic design and movement analysis, providing relevant evidence for consideration under a Best Researcher Award, subject to the award’s independent evaluation criteria. [1] [4]

Conclusion

Dai Chu’s research demonstrates a focused contribution to bio-inspired robotics, particularly the analysis and engineering reproduction of human hand function. His publication record connects biomechanics, motion analysis, and robotic design, while indexed research metrics provide additional indicators for evaluation. Further assessment should consider originality, methodological rigor, impact, and sustained contributions. [1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Dai Chu, Author ID 57226126803. Scopus.

    https://www.scopus.com/pages/authors/57226126803

  2. Frontiers. (n.d.). Dai Chu research profile. Frontiers Loop.

    https://loop.frontiersin.org/people/2165209/network

  3. Chu, D., Xiong, C., Huang, Z., Yang, J., Ma, J., Zhang, J., Sun, B., & Cai, J. (2024). Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands. IEEE Robotics and Automation Letters, 9(3), 2463–2470.

    https://doi.org/10.1109/LRA.2024.3354619

  4. Ma, J., Sun, B.-Y., Chu, D., Yang, J., Zhang, J., & Xiong, C.-H. (2025). Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. Bioinspiration & Biomimetics, 20(6).

    https://doi.org/10.1088/1748-3190/ae0aa3

Taowei Liu | Machine Learning and Statistics | Best Researcher Award

Published on by Statistics

 

Best Researcher Award

Taowei Liu,
Changsha University of Science and Technology.

Taowei Liu
Affiliation Changsha University of Science and Technology
Country China
Scopus ID 60767546000
Subject Area Drone Technology, 3D Modeling, Dung Beetle Optimization Algorithm, High-Precision Modeling
Event World Statistics Awards

Taowei Liu is a researcher affiliated with Changsha University of Science and Technology, China, whose stated research interests encompass drone technology, three-dimensional modeling, optimization algorithms, and high-precision modeling. These areas represent interdisciplinary applications connecting computational methods, engineering systems, and intelligent modeling approaches. [1]

Abstract

Taowei Liu’s research profile is associated with computational and engineering-oriented topics involving drone technology, 3D modeling, optimization algorithms, and high-precision modeling. The combination of these areas suggests an interdisciplinary research direction involving intelligent computation, geometric representation, optimization, and technology-enabled modeling applications. [1]

Keywords

  • Drone Technology
  • 3D Modeling
  • Dung Beetle Optimization Algorithm
  • High-Precision Modeling
  • Computational Optimization

Introduction

Taowei Liu is affiliated with Changsha University of Science and Technology and works within research areas connecting drone technology, computational modeling, optimization, and engineering applications. His identified subject areas indicate an interdisciplinary approach to developing computational techniques for representing, optimizing, and improving the precision of complex technical models and systems. [1]

Research Profile

Liu’s documented research profile encompasses drone technology, three-dimensional modeling, the Dung Beetle Optimization Algorithm, and high-precision modeling. These subjects combine engineering, computational intelligence, geometric representation, and optimization. The profile therefore reflects research activity positioned at the intersection of intelligent algorithms, digital modeling, and technology-driven engineering problem solving. [2]

Research Contributions

Liu’s identified contributions are centered on computational approaches relevant to drone systems, 3D modeling, optimization, and precision-oriented modeling. In particular, the application of optimization algorithms to technical modeling problems represents a methodological direction capable of supporting improved computational efficiency, model refinement, and accuracy in engineering-oriented research contexts. [1]

Publications

The supplied researcher information identifies Taowei Liu’s research domains but does not provide a verified publication list or individual DOI records. Accordingly, specific publications and DOI identifiers are not assigned here without source verification. The Scopus author profile provides the appropriate source for reviewing indexed documents and publication information associated with Author. [2]

Research Impact

The potential research impact of Liu’s subject areas lies in combining intelligent optimization with digital modeling and drone-related technologies. High-precision modeling can support engineering analysis and digital representation, while optimization methods may assist computational decision processes. Verified citation counts, document totals, and h-index values were not supplied for quantitative assessment. [1]

Award Suitability

Liu’s research themes are potentially relevant to a Best Researcher Award because they encompass interdisciplinary work involving computational optimization, drone technology, 3D modeling, and precision-oriented engineering. Final award suitability should be determined through documented publications, research originality, scholarly impact, citation evidence, and independent evaluation against the World Statistics Awards’ applicable criteria. [2]

Conclusion

Taowei Liu presents a research profile focused on drone technology, 3D modeling, optimization algorithms, and high-precision modeling. These interconnected areas demonstrate a computational and engineering-oriented research direction. Further assessment of scholarly influence should rely on verified publications, citations, indexing information, and documented research outcomes available through authoritative academic sources. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Taowei Liu, Author ID 60767546000. Scopus.

    https://www.scopus.com/pages/authors/60767546000

  2. Liu, T. (2026). 3D modeling of bridge piers based on drone technology and dung beetle optimization algorithm. In D.-S. Huang, B. Li, Q. Zhang, & W. Bao (Eds.), Advanced intelligent computing technology and applications: 22nd International Conference on Intelligent Computing (ICIC 2026).

    https://link.springer.com/chapter/10.1007/978-981-92-3492-9_6

Deniz Bingöl | Design of Experiments | Innovative Research Award

Published on by Statistics

Innovative Research Award

Deniz Bingöl,
Kocaeli University.

Deniz Bingöl
Affiliation Kocaeli University
Country Turkey
Scopus ID 6506971252
Documents 51
Citations 1,891
h-index 24
Subject Area Modification methods for agricultural waste materials
Event World Statistics Awards
ORCID 0000-0002-9396-2422

Deniz Bingöl is a researcher affiliated with Kocaeli University whose scholarly profile reflects sustained activity in research concerning innovative modification approaches for agricultural waste materials. Available bibliometric information records 51 documents, 1,891 citations, and an h-index of 24, providing measurable indicators of research productivity and scholarly visibility in relevant academic fields.[1] [2]

Abstract

Deniz Bingöl’s research profile is associated with innovative approaches to modifying agricultural waste materials, emphasizing scientific investigation of materials with potential research and practical relevance. Bibliometric indicators provide evidence of an established scholarly record, while the researcher’s institutional and persistent identifiers support transparent academic attribution and verification across research information systems.[1] [2]

Keywords

  • Agricultural waste materials
  • Material modification
  • Innovative research
  • Sustainable materials
  • Research impact
  • Scientific innovation

Introduction

Agricultural waste represents an important research resource because its physical and chemical characteristics can be investigated for improved material applications. Research on modification methods seeks to enhance useful properties while supporting resource efficiency and sustainable scientific practice. Bingöl’s research area aligns with this broader interdisciplinary objective, connecting agricultural residues with innovative materials research.[1]

Research Profile

Deniz Bingöl is affiliated with Kocaeli University and has an indexed scholarly profile identified through Scopus Author ID 6506971252 and ORCID 0000-0002-9396-2422. The available record contains 51 documents, 1,891 citations, and an h-index of 24, indicating sustained publication activity and measurable academic visibility within indexed research literature and scholarly databases.[1] [2]

Research Contributions

The stated research specialization focuses on developing new modification methods for agricultural waste materials. Such work can contribute to understanding how treatment or modification influences material characteristics, functionality, and potential utilization. From an academic perspective, this research direction supports investigation of resource-derived materials while encouraging approaches that connect scientific experimentation with sustainable material development and innovation.[1]

Publications

The researcher’s indexed publication record comprises 51 documents according to the supplied Scopus profile information. Individual publication titles, journals, years, citation histories, and digital identifiers should be verified directly against authoritative bibliographic records before formal citation. Where applicable, DOI identifiers provide persistent access to individual scholarly publications and support accurate bibliographic verification across academic databases.[1] [3]

Research Impact

Bingöl’s reported bibliometric indicators include 1,891 citations and an h-index of 24, offering quantitative measures of scholarly visibility and citation influence. These indicators should be interpreted alongside publication quality, research originality, collaboration, and disciplinary context rather than independently. Together, the available metrics indicate an established research presence within indexed academic literature and scholarly communication.[1]

Award Suitability

The Innovative Research Award can be considered in relation to Bingöl’s research focus, documented publication activity, and work involving modification methods for agricultural waste materials. The combination of a defined innovation-oriented subject area and established bibliometric record provides relevant evidence for consideration. Final recognition should remain dependent on the award’s official evaluation criteria and submitted supporting documentation.[1]

Conclusion

Deniz Bingöl presents a documented academic profile connected with Kocaeli University and research concerning innovative modification methods for agricultural waste materials. The reported record of 51 documents, 1,891 citations, and an h-index of 24 provides measurable evidence of scholarly activity. These characteristics support consideration for recognition while maintaining appropriate academic verification standards.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Deniz Bingöl, Author ID 6506971252. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=6506971252

  2. ORCID. (n.d.). ORCID record: Deniz Bingöl. ORCID.

    https://orcid.org/0000-0002-9396-2422

  3. Google Scholar. (n.d.). Deniz Bingöl — Google Scholar profile.

    https://scholar.google.com.tr/citations?user=R_4iEIkAAAAJ&hl=tr&oi=ao

Shanshan Wang | Machine Learning and Statistics | Best Researcher Award

Published on by Statistics

Best Researcher Award

Shanshan Wang,
University of Jinan

Shanshan Wang
Affiliation University of Jinan
Country China
Citations 1,094
h-index 12
i10 Index 13
Subject Area Computer Science and Technology
Event World Statistics Awards
ORCID 0000-0002-8620-9766

Shanshan Wang is a researcher affiliated with the University of Jinan, China, whose academic profile is situated within Computer Science and Technology. Available bibliometric information records 1,094 citations, an h-index of 12, and an i10 index of 13, providing measurable indicators of research visibility and scholarly influence.[1][2]

Abstract

Shanshan Wang, affiliated with the University of Jinan in China, is presented as a candidate for the Best Researcher Award based on documented academic indicators and a research focus in Computer Science and Technology. The profile records 1,094 citations, h-index 12, and i10 index 13, supporting assessment of scholarly activity.[1][2]

Keywords

  • Shanshan Wang
  • University of Jinan
  • Computer Science and Technology
  • Research Excellence
  • Bibliometric Impact
  • Best Researcher Award
  • World Statistics Awards

Introduction

Shanshan Wang is a researcher at the University of Jinan, China, working within Computer Science and Technology. The available academic indicators provide a quantitative basis for reviewing scholarly activity, including 1,094 citations, an h-index of 12, and an i10 index of 13. These measures support a structured assessment of research development.[1][2]

Research Profile

Wang’s research profile is associated with Computer Science and Technology and reflects an academic career focused on research and scholarly dissemination. Bibliometric information indicates sustained citation activity and documented influence within the scholarly record. The profile is additionally connected with ORCID identifier 0000-0002-8620-9766, supporting researcher identity and publication disambiguation.[1][2]

Research Contributions

Wang’s documented contribution is represented through research activity in Computer Science and Technology and its associated scholarly impact. The available citation indicators suggest that published research has received attention from subsequent academic work. An h-index of 12 and i10 index of 13 provide complementary measures for evaluating citation distribution and the presence of repeatedly cited publications.[1]

Publications

Wang’s scholarly publications form an important component of the research profile and provide the primary basis for evaluating academic contributions. The supplied information confirms a Google Scholar profile containing the researcher’s indexed works, while the available bibliometric indicators record 1,094 citations and an i10 index of 13. Individual DOI details should be verified against source records.[1][3]

Research Impact

Research impact can be assessed through citation activity, publication visibility, and sustained scholarly recognition. Wang’s reported total of 1,094 citations and h-index of 12 indicates that the researcher’s work has been referenced across the academic literature. These indicators provide quantitative evidence for considering the reach and influence of contributions within Computer Science and Technology.[1]

Award Suitability

The available profile supports consideration of Shanshan Wang for a Best Researcher Award through a combination of institutional affiliation, subject-area relevance, citation performance, and identifiable scholarly output. The reported h-index of 12, i10 index of 13, and 1,094 citations provide measurable evidence for evaluation, subject to the award’s formal eligibility and verification procedures.[1][2]

Conclusion

Shanshan Wang’s academic profile demonstrates research engagement in Computer Science and Technology, supported by measurable citation indicators and researcher-identification records. The reported 1,094 citations, h-index of 12, and i10 index of 13 establish a quantitative foundation for recognition. Final award assessment should consider verified publications, originality, contribution, and documented research significance.[1][2]

References

  1. ORCID. (n.d.). ORCID record for Shanshan Wang, ORCID 0000-0002-8620-9766.

    https://orcid.org/0000-0002-8620-9766

  2. Google Scholar. (n.d.). Shanshan Wang — Google Scholar profile and publications.

    https://scholar.google.com/citations?hl=zh-CN&user=GMgHNBUAAAAJ&view_op=list_works&sortby=pubdate

  3. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Costin Untaroiu | Statistical Modeling and Simulation | Innovative Research Award

Published on by Statistics

 

Innovative Research Award

Costin Untaroiu
Affiliation Virginia Tech
Country United States
Scopus ID 8626670800
Documents 148
Citations 2,601
h-index 28
Subject Area Tire-Soil Simulations
Event World Statistics Awards
ORCID 0000-0002-1813-669X

Costin Untaroiu,
Virginia Tech.

Costin Untaroiu is a professor at Virginia Tech whose research integrates biomechanics, solid mechanics, dynamics, and tire–soil modeling. His work applies computational and experimental methods to transportation safety, injury biomechanics, and terrain interaction, providing interdisciplinary approaches for understanding complex mechanical systems and improving simulation-based engineering analysis, design, and practice today. [1]

Abstract

Costin Untaroiu’s research combines computational mechanics, biomechanics, transportation safety, and tire–soil simulation. His work includes numerical modeling, experimental validation, finite-element analysis, and soil characterization. The research portfolio demonstrates interdisciplinary engagement with technically complex engineering problems and provides a scholarly basis for consideration for an Innovative Research Award. [1] [2]

Keywords

  • Costin Untaroiu
  • Innovative Research Award
  • Tire–Soil Simulation
  • Computational Mechanics
  • Biomechanics
  • Finite-Element Modeling
  • Transportation Safety
  • Virginia Tech

Introduction

Costin Untaroiu is a Virginia Tech professor whose research integrates biomechanics, solid mechanics, dynamics, and tire–soil modeling. His work applies computational and experimental methods to transportation safety, injury biomechanics, and terrain interaction, providing interdisciplinary approaches for understanding complex mechanical systems and improving simulation-based engineering analysis, design, and practice today. [1]

Research Profile

Untaroiu’s research profile spans biomechanics, tissue engineering, dynamics and control, solid mechanics, and tire–soil modelling. At Virginia Tech, he is associated with the Center for Injury Biomechanics and contributes to research involving finite-element analysis, numerical simulation, and engineering optimization across transportation, mechanical-system applications, and interdisciplinary research today globally. [1]

Research Contributions

His contributions include numerical modeling of tire–soil interaction, soil constitutive parameter identification, pedestrian injury analysis, and finite-element representations of human body structures. Recent work addresses soil compaction and tire loading through laboratory testing and validated numerical approaches, demonstrating a research program that connects computational mechanics with engineering problems today across applications. [2] [3]

Publications

Untaroiu has contributed to a substantial body of peer-reviewed research across biomechanics, transportation safety, and terramechanics. Representative publications address soil constitutive modeling, tire–soil interaction, pedestrian finite-element modeling, and material characterization. These studies demonstrate methodological breadth and continued engagement with simulation, validation, experimental measurement, and engineering applications internationally in peer-reviewed literature. [1] [3] [4]

Research Impact

The research has relevance to transportation safety, vehicle and tire engineering, agricultural machinery, and computational biomechanics. Studies combining experimental measurements with numerical models can support improved prediction, validation, and design decisions. His publication record and indexed research activity indicate sustained scholarly engagement across interdisciplinary engineering domains at Virginia Tech and beyond. [1] [2] [3]

Award Suitability

The Innovative Research Award recognizes researchers whose work demonstrates methodological originality, interdisciplinary value, and meaningful engineering relevance. Untaroiu’s documented research in tire–soil modeling, biomechanics, numerical simulation, and validation aligns with these dimensions. His record of peer-reviewed publications and research leadership provides a substantive basis for consideration under an innovation-focused academic recognition framework. [1] [2] [3]

Conclusion

Costin Untaroiu represents an interdisciplinary research profile connecting computational mechanics, biomechanics, transportation safety, and tire–soil simulation. His work combines modeling, experimentation, and validation to address technically complex problems. The documented research portfolio provides a strong scholarly foundation for recognition through an Innovative Research Award within an engineering-focused academic context overall. [1] [3] [4]

References

  1. Virginia Tech. (n.d.). Costin Untaroiu — Biomedical Engineering and Mechanics. Virginia Tech.

    https://bme.vt.edu/people/faculty/untaroiu-c.html

  2. Shokanbi, A., Jasoliya, D., & Untaroiu, C. (2025). Parameter Identification of Soil Material Model for Soil Compaction Under Tire Loading: Laboratory vs. In-Situ Cone Penetrometer Test Data. Agriculture, 15(20), 2142.

    https://doi.org/10.3390/agriculture15202142

  3. Untaroiu, C. D. (2013). The Influence of the Specimen Shape and Loading Conditions on the Parameter Identification of a Viscoelastic Brain Model. Computational and Mathematical Methods in Medicine, 2013, 460413.

    https://doi.org/10.1155/2013/460413

  4. Untaroiu, C. D., Pak, W., Meng, Y., Schap, J., Koya, B., & Gayzik, F. (2018). A Finite Element Model of a Midsize Male for Simulating Pedestrian Accidents. Journal of Biomechanical Engineering, 140(1).

    https://doi.org/10.1115/1.4037854

  5. Elsevier. (n.d.). Scopus author details: Costin Untaroiu, Author ID 8626670800. Scopus.

    https://www.scopus.com/pages/authors/86266