Yuanyao Miao | Technology | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award: Yuanyao Miao

Yuanyao Miao is affiliated with Xi’an University of Architecture and Technology, China, and is engaged in technology-oriented research involving structural dynamics and engineering assessment. His scholarly record includes research on masonry pagodas exposed to combined vibration, inclination, and material effects, connecting computational analysis with practical preservation challenges in structural engineering. [1] [2]

Yuanyao Miao
Affiliation Xi’an University of Architecture and Technology
Country China
Scopus ID 36773518800
Documents 15
Citations 177
h-index 6
Subject Area Technology
Event Technology Scientists Awards

Abstract

Yuanyao Miao is a researcher affiliated with Xi’an University of Architecture and Technology, China, with scholarly activity in technology and structural engineering. His indexed record includes 15 documents, 177 citations, and an h-index of 6. A 2026 publication examines masonry pagodas under coupled train, human, soil, inclination, and material effects. Using measurements, theoretical analysis, and three-dimensional finite element simulation, the study evaluates dynamic response, damage development, and fatigue life. Its findings support technology-based assessment and conservation of historic masonry structures exposed to complex vibration environments, providing evidence of interdisciplinary engineering research and practical relevance to resilient structural preservation. [1] [2]

Keywords

Relevant keywords for this recognition profile include structural dynamics, masonry pagodas, vibration analysis, soil–structure interaction, finite element analysis, fatigue life prediction, structural preservation, engineering technology, heritage conservation, numerical simulation, multi-source vibration, material deterioration, dynamic response, resilient structures, applied engineering, technology research, computational mechanics, infrastructure assessment, historic structures, and scholarly research. [1]

Introduction

Yuanyao Miao is a researcher affiliated with Xi’an University of Architecture and Technology, China, whose indexed work addresses technology-related engineering problems. His publication record includes research on the dynamic behavior and service-life assessment of masonry pagodas under combined environmental and human-induced effects, demonstrating engagement with applied structural technology. [1] [2]

Research Profile

Miao’s Scopus-indexed profile reports 15 documents, 177 citations, and an h-index of 6, indicating a sustained research record with measurable scholarly visibility. His work connects structural dynamics, numerical simulation, vibration analysis, material deterioration, and life prediction, placing his research within an interdisciplinary technology-oriented framework relevant to resilient engineering. [1] [2]

Research Contributions

Miao contributed to research examining masonry pagodas under multi-factor coupled effects, integrating in-situ measurements, theoretical analysis, and numerical simulation. The study considers train-induced vibration, human-induced loading, structural inclination, and material degradation together, offering a comprehensive basis for evaluating dynamic response, damage development, and fatigue life under realistic service conditions. [1]

Publications

Miao is a coauthor of “Dynamic response and life prediction of masonry pagodas under multi-factor effects,” published in the Journal of Vibration and Shock in 2026. The article investigates the Giant Wild Goose Pagoda and reports dynamic behavior, stress, plastic strain, and fatigue life estimates under service conditions. [1]

Research Impact

The reported research provides technical evidence for assessing historic masonry structures exposed to complex vibration environments. Its combination of finite element modeling, soil–structure interaction, multi-source excitation, and fatigue-life analysis can support condition assessment and conservation planning. The study contributes an applied technology perspective to structural preservation and risk-informed maintenance. [1]

Award Suitability

Miao’s documented publication activity, citation record, and focused contribution to structural technology provide a reasonable basis for consideration for the Best Researcher Award. His research demonstrates methodological integration and practical relevance, while the indexed bibliographic record supplies traceable evidence that can support an objective assessment of scholarly achievement. [1] [2]

Conclusion

Yuanyao Miao presents a research profile centered on applied technology, structural dynamics, and preservation-oriented engineering analysis. His documented scholarly metrics and contribution to research on complex vibration effects provide evidence of academic activity and relevance. Based on available indexed information, his work aligns with the award’s recognition purpose. [1] [2]

References

  1. Ma, J., Miao, Y., Ren, R., Lu, W., Liu, R., Qian, C., & Li, D. (2026). Dynamic response and life prediction of masonry pagodas under multi-factor coupled effects. Journal of Vibration and Shock, 45(15), 35–46.
    https://jvs.sjtu.edu.cn/EN/Y2026/V45/I15/35
  2. Elsevier. (n.d.). Scopus author details: Yuanyao Miao, Author ID 36773518800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36773518800

Jyotsna More | Technology | Innovative Research Award

Published on by Technology Scientists

Innovative Research Award

Jyotsna More
Xavier Institute of Engineering, India

Jyotsna More
Affiliation Xavier Institute of Engineering
Country India
Scopus ID 60209192100
Documents 2
Subject Area Technology
Event Technology Scientists Awards
ORCID 0009-0003-9099-0262

Jyotsna More is a technology researcher affiliated with Xavier Institute of Engineering, India, whose documented research activity spans digital commerce, blockchain-supported voting, biometrics, edge computing, computer vision, and intelligent access validation. Her recent publication record demonstrates engagement with applied technology problems involving secure digital systems and emerging computational infrastructures. [1] [2] [3]

Abstract

Jyotsna More is a technology researcher whose documented work addresses emerging challenges in secure digital systems, blockchain-enabled applications, biometric verification, edge computing, and intelligent access management. Her publications demonstrate an applied research orientation connecting software, artificial intelligence, Internet of Things technologies, and cybersecurity-oriented mechanisms. Recent work includes a blockchain-based biometric voting concept and an edge-cloud attendance and access validation system using RFID, facial recognition, and computer vision. [2] [3] Collectively, these activities provide a foundation for recognition under an Innovative Research Award focused on practical technological development.

Keywords

Innovative Research Award; Jyotsna More; Technology Research; Edge Computing; Biometrics; Blockchain; Facial Recognition; RFID; Internet of Things; Digital Security; Computer Vision; Secure Digital Systems.

Introduction

Jyotsna More’s research activity reflects contemporary technology research addressing security, authentication, automation, and digitally enabled services. Her work connects blockchain, biometrics, edge computing, RFID, facial recognition, and computer vision to practical system requirements. These themes are evident across her documented publications and indicate an applied approach to emerging technological challenges. [1] [2] [3]

Research Profile

More’s research profile is characterized by interdisciplinary application of computing technologies to authentication, access management, digital governance, and intelligent automation. Her documented publications cover digital commerce ecosystems, blockchain-supported biometric voting, and edge-based attendance validation. This combination demonstrates engagement with technology development where software architecture, data security, identity verification, and real-world deployment considerations intersect. [1] [2] [3]

Research Contributions

The documented contributions include exploration of integration challenges in digital commerce, biometric-backed blockchain voting, and multi-layer attendance and access validation. The latter integrates RFID verification, facial recognition, edge processing, and line-cross detection, illustrating how multiple technologies can be coordinated within a practical security architecture. [1] [2] [3]

Publications

More’s documented publications include research on digital commerce ecosystem integration, blockchain-supported biometric voting, and edge computing for attendance and access validation. The 2026 Discover Internet of Things article presents a hybrid edge-cloud approach combining RFID, facial recognition, and line-cross detection, while the SmartVote chapter addresses biometric identity within blockchain-based voting. [1] [2] [3]

Research Impact

The potential impact of More’s research lies in its practical treatment of security and automation challenges. Her recent edge-computing study demonstrates an approach designed to maintain attendance validation with reduced dependence on continuous connectivity, while integrating several verification layers. Such research can contribute to future development of resilient, intelligent, and secure technology systems. [3]

Award Suitability

More’s documented research is relevant to an Innovative Research Award because it combines multiple emerging technologies with application-oriented system development. Her work addresses authentication, secure digital participation, intelligent access validation, and edge-based processing, providing evidence of interdisciplinary technological investigation. The publication record therefore supports consideration within a technology-focused research recognition framework. [2] [3]

Conclusion

Jyotsna More’s documented research demonstrates an emerging technology portfolio centered on secure digital systems, biometrics, blockchain, edge computing, and intelligent automation. Her publications show an applied orientation toward integrating complementary technologies to address practical problems. On this basis, her research profile is appropriately aligned with an Innovative Research Award in Technology. [1] [2] [3]

References

  1. More, J. (n.d.). Navigating the edge: Addressing integration hurdles in digital commerce ecosystems. Scopus.
    https://www.scopus.com/pages/publications/105040258493
  2. More, J., Aranjo, S., D’souza, M., Awlegaonkar, S., Chaurasia, S., Ghadge, A., & Jadhav, S. (2025). SmartVote: Biometric-backed voting on the blockchain. In ICT Analysis and Applications (pp. 474–487). Springer.
    https://www.scopus.com/pages/publications/105022847152
  3. More, J., Nayak, N., Tiwari, H., & Rajpurohit, C. S. (2026). Edge computing enabled attendance and access validation system using RFID, facial recognition and line cross detection for payroll integration. Discover Internet of Things, 6, 99.
    https://link.springer.com/article/10.1007/s43926-026-00438-z

Yasir Nawaz | Technology Innovations | Innovative Research Award

Published on by Technology Scientists

Innovative Research Award

Yasir Nawaz — National University of Modern Languages

Yasir Nawaz
Affiliation National University of Modern Languages
Country Pakistan
Scopus ID 34267687500
Documents 99
Citations 1,148
h-index 19
Subject Area Technology Innovations
Event Technology Scientists Awards
ORCID 0000-0002-7048-574X

Yasir Nawaz is a researcher affiliated with the National University of Modern Languages, Pakistan, whose documented scholarly record includes research addressing computational modelling, numerical methods, fluid dynamics, heat transfer, and technology-oriented scientific problems. His indexed research profile records 99 documents, 1,148 citations, and an h-index of 19, providing measurable indicators of scholarly activity and research visibility.

Abstract

This article presents a scholarly recognition profile of Yasir Nawaz, affiliated with the National University of Modern Languages, Pakistan, with emphasis on documented research activity in computational modelling, numerical analysis, fluid dynamics, heat and mass transfer, and technology innovation. His indexed record comprises 99 documents, 1,148 citations, and an h-index of 19. Recent publications address Eyring–Prandtl nanofluid flow, radiative transport, fractal-time modelling, and high-order numerical schemes, demonstrating engagement with computational approaches to complex engineering problems. These contributions provide an evidence-based basis for evaluating his research profile, publication activity, scholarly influence, and suitability for consideration within the Innovative Research Award framework.[1]

Keywords

Yasir Nawaz; Innovative Research Award; technology innovation; computational modelling; numerical analysis; fluid dynamics; nanofluid flow; heat transfer; mass transfer; Eyring–Prandtl fluid; Riga plate; fractal time modelling; radiative heat transfer; numerical schemes; engineering computation.[2]

Introduction

Research in computational engineering increasingly relies on numerical models to investigate coupled transport, fluid-flow, and thermal phenomena that are difficult to characterize analytically. Nawaz’s documented publications address such problems through computational formulations involving non-Newtonian fluids, radiative effects, nanofluid transport, and specialized numerical schemes. These studies illustrate a research direction centered on mathematical modelling and computational solution techniques for engineering applications.[1]

Research Profile

The available bibliometric information identifies Yasir Nawaz as an active researcher with 99 indexed documents, 1,148 citations, and an h-index of 19. His research profile is associated with Technology Innovations and includes computational studies of complex fluid systems and transport phenomena. The recorded publication and citation indicators provide quantitative evidence of sustained scholarly activity and research visibility.[2]

Research Contributions

Nawaz’s documented contributions include numerical prediction of skin friction and Sherwood number in Eyring–Prandtl nanofluid flow, fractal-time modelling of radiative heat and mass transfer in Carreau–Yasuda mixed convection, and development of a high-order compact ETI-RK scheme for Eyring–Prandtl flow over a Riga plate. Together, these works demonstrate methodological attention to computational accuracy and complex transport modelling.[3]

Publications

The selected publications represent a coherent research theme involving computational fluid dynamics, numerical modelling, and heat and mass transfer. The first study examines an AI-assisted hybrid solver for prediction tasks, while the second develops fractal-time numerical modelling for radiative transport. The third investigates a high-order compact numerical scheme for Eyring–Prandtl flow over a Riga plate.[1][3]

Research Impact

The reported bibliometric indicators of 1,148 citations and an h-index of 19 indicate that Nawaz’s publications have achieved measurable scholarly visibility. His research topics also address computational approaches relevant to engineering analysis, where accurate numerical methods can support investigation of nonlinear transport and complex fluid systems. Impact should therefore be interpreted through both citation evidence and methodological relevance.[2][3]

Award Suitability

Based on the supplied research record, Yasir Nawaz demonstrates characteristics relevant to an Innovative Research Award, including sustained publication activity, measurable citation impact, and research involving advanced computational and numerical methodologies. His selected studies address specialized engineering problems through modelling and algorithmic approaches. Final award decisions should additionally consider independent verification, originality, methodological rigor, and eligibility criteria.[2]

Conclusion

Yasir Nawaz’s documented scholarly profile combines substantial publication activity with citation-based research visibility and contributions to computational engineering. His selected publications demonstrate work across nanofluid modelling, radiative heat and mass transfer, and high-order numerical computation. Collectively, these records provide a reasonable evidence base for academic recognition under an innovation-focused evaluation framework, subject to formal verification.[3]

References

  1. Nawaz, Y. (n.d.). AI-Assisted Hybrid Solver for Skin Friction and Sherwood Number Prediction in Eyring–Prandtl Nanofluid Flow over a Riga Plate. Scopus publication record.
    https://www.scopus.com/pages/publications/105031394968
  2. Nawaz, Y. (n.d.). Fractal time numerical modelling of radiative heat and mass transfer in Carreau–Yasuda mixed convective flow. Scopus publication record.
    https://www.scopus.com/pages/publications/105025412872
  3. Nawaz, Y. (n.d.). High-order compact ETI-RK scheme for Eyring-Prandtl flow over a Riga plate. Scopus publication record.
    https://www.scopus.com/pages/publications/105035878483

 

Festus Eebo | Technology Innovations | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award

Festus Eebo
Toronto Metropolitan University, Canada
                        Festus Eebo
Affiliation Toronto Metropolitan University
Country Canada
Documents 3
Subject Area Technology Innovations
Event Technology Scientists Awards
ORCID 0000-0002-7371-5344

Festus Eebo is affiliated with Toronto Metropolitan University, Canada, and has contributed scholarly research associated with hydrology, geophysics, groundwater investigations, and technology-oriented environmental studies. His publications demonstrate multidisciplinary applications of scientific methods for solving engineering and environmental challenges while supporting evidence-based research development.[1]

Abstract

Festus Eebo has contributed to multidisciplinary research integrating hydrology, geophysics, groundwater exploration, and engineering applications. His published studies investigate water resource sustainability, catchment hydrology, and subsurface characterization using scientific and geotechnical approaches. These investigations support improved environmental assessment, groundwater management, and infrastructure planning. Through collaborations and evidence-based methodologies, his research demonstrates practical relevance for technology innovation and environmental engineering while contributing valuable scientific knowledge for academic communities and decision-makers seeking sustainable resource management solutions.[1]

Keywords

Technology Innovations, Hydrology, Groundwater, Geophysics, Environmental Engineering, Water Resources, Catchment Hydrology, Engineering Geology, Sustainable Development, Scientific Research.

Introduction

Festus Eebo’s academic activities emphasize interdisciplinary research connecting environmental science, engineering, hydrology, and geophysical investigations. His published studies address practical challenges involving groundwater resources, catchment behavior, and subsurface characterization while applying scientific methodologies that contribute to technological innovation, sustainable environmental management, and improved engineering decision-making across diverse geographical settings.[1]

Research Profile

His research portfolio includes peer-reviewed publications focusing on hydrological modeling, groundwater assessment, engineering geophysics, and environmental investigations. These studies demonstrate analytical competence, multidisciplinary collaboration, and application of scientific evidence to understand natural systems while supporting infrastructure planning, water resource sustainability, and environmental risk assessment.[2]

Research Contributions

The research contributions include investigations of streamflow dynamics, groundwater potential evaluation, and geotechnical characterization of subsurface conditions. These works provide scientific insights supporting water resource management, engineering site investigations, and environmental sustainability while integrating quantitative analysis with practical field observations and modern research methodologies.[1]

Publications

The documented publications encompass hydrological prediction, geophysical surveys, and groundwater exploration studies published through recognized scientific platforms. Collectively, these articles demonstrate consistent scholarly engagement and contribute valuable findings supporting environmental science, engineering practice, hydrogeology, and multidisciplinary technology-focused research.[1][2][3]

Research Impact

The published research supports scientific understanding of hydrological processes and subsurface investigations relevant to environmental management and engineering applications. By addressing practical challenges through evidence-based approaches, these studies provide useful references for researchers, engineers, policymakers, and institutions pursuing sustainable resource utilization and technological advancement.[1]

Award Suitability

Based on the available publication record and interdisciplinary research contributions, Festus Eebo demonstrates scholarly engagement consistent with recognition in technology and environmental research. His documented investigations reflect scientific rigor, practical relevance, and sustained commitment to advancing knowledge through peer-reviewed academic publications and collaborative research activities.[1]

Conclusion

Festus Eebo has established an emerging academic profile through multidisciplinary research spanning hydrology, groundwater exploration, and engineering geophysics. His publications contribute meaningful scientific knowledge supporting sustainable environmental management, infrastructure development, and technological innovation while reflecting continued participation in evidence-based scholarly research and professional academic advancement.[3]

References

  1. Eebo, F., et al. (2026). Investigating catchment predictors of the fraction of young water variability in streamflow in mesoscale Precambrian Shield catchments in Northeastern Ontario, Canada. Journal of Hydrology.
    https://www.sciencedirect.com/science/article/pii/S0022169426011364?via%3Dihub
  2. Eebo, F., et al. (2020). Geophysical and Geotechnical Investigations for Subsoil Competence at a Proposed Hostel Site at Oba Nla, Akure Southwestern Nigeria. Journal of Environment and Natural Resources Studies.
    https://www.jenrs.com/v01/i02/p005/
  3. Eebo, F., et al. (2019). Geophysical Investigation of Groundwater Potential of a Site in Obale Area of Akure, Nigeria. International Journal of Engineering Applied Sciences and Technology.
    https://ijeast.com/papers/88-93,Tesma601,IJEAST.pdf