Yuanyao Miao | Technology | Best Researcher Award

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

Xinghua Zheng | Technology | Innovative Research Award

Innovative Research Award

Xinghua Zheng
University of Chinese Academy of Sciences, China

Xinghua Zheng
Affiliation University of Chinese Academy of Sciences
Country China
Scopus ID 35735654300
Documents 88
Citations 1,794
h-index 24
Subject Area Technology
Event Technology Scientists Awards

Xinghua Zheng is a technology researcher affiliated with +the University of Chinese Academy of Sciences, China. His scholarly work has contributed to advanced thermal materials, flexible sensing systems, energy transfer mechanisms, and multifunctional materials. With 88 indexed publications, 1,794 citations, and an h-index of 24, his research demonstrates substantial academic influence in emerging technology domains.[1]

Abstract

Xinghua Zheng has established an academic profile through interdisciplinary studies in thermal materials, flexible fiber sensors, directional heat transfer, and advanced porous composites. His research integrates material science, engineering design, and functional applications to address challenges in sensing technologies and energy management. The published works demonstrate innovative approaches to thermal regulation, thermal rectification, and multifunctional material systems with potential industrial and scientific applications. The researcher’s publication record, citation impact, and contributions to emerging technological fields reflect sustained scholarly productivity and international visibility within the broader technology research community.[1][2][3]

Keywords

Flexible Fiber Sensors; Thermal Management; Janus Materials; Thermal Rectification; Advanced Composites; Technology Research; Functional Materials; Energy Systems.

Introduction

Research in thermal materials and flexible sensing technologies has gained significance because of increasing demands for efficient energy systems and wearable devices. Xinghua Zheng’s work contributes to these areas through studies on functional materials, directional thermal transport, and sensor technologies, supporting advancements in modern engineering and applied sciences.[1]

Research Profile

Xinghua Zheng’s scholarly profile includes 88 indexed publications, 1,794 citations, and an h-index of 24. Affiliated with the University of Chinese Academy of Sciences, his research interests encompass flexible materials, thermal management, porous composites, and multifunctional technologies, reflecting a multidisciplinary approach to scientific investigation and technological innovation.[1]

Research Contributions

The researcher has contributed to the development of thermally drawn fiber sensors, Janus materials, and asymmetric porous structures for thermal regulation. These studies provide practical strategies for directional heat control and multifunctional sensing systems, offering valuable insights into next-generation material technologies and applications in energy and engineering domains.[1][2][3]

Publications

The publication record demonstrates consistent productivity in technology-related disciplines, particularly materials science and thermal engineering. Representative works include studies on flexible fiber sensors, directional thermal management, and Janus porous composites. These publications have appeared in reputable journals and have contributed to international scientific discussions.[1][2]

Research Impact

Citation metrics and scholarly recognition indicate that Xinghua Zheng’s research has influenced studies related to advanced materials and thermal technologies. The work supports interdisciplinary collaboration and provides scientific foundations for innovative applications in wearable devices, energy systems, and functional materials research across international academic communities.[1]

Award Suitability

Xinghua Zheng’s publication record, citation impact, and interdisciplinary contributions indicate strong alignment with the objectives of the Innovative Research Award. The demonstrated achievements in thermal materials, sensing technologies, and advanced composites reflect scientific originality and sustained contributions to technology research and practical innovation.[1]

Conclusion

The academic profile of Xinghua Zheng highlights meaningful contributions to emerging technology fields through research on thermal management and flexible materials. The combination of scholarly productivity, citation influence, and innovative research outcomes supports recognition within the Technology Scientists Awards and reflects continued advancement in scientific research.[1]

References

  1. Zheng, X., et al. (2025). Thermally drawn flexible fiber sensors: Principles, materials, structures, and applications. Nano-Micro Letters, 17, Article 184.
    https://link.springer.com/article/10.1007/s40820-025-01840-y
  2. Zheng, X., et al. (2026). Dual Janus foam for directional thermal management. Nature Communications, 17.
    https://www.nature.com/articles/s41467-026-69140-6
  3. Zheng, X., et al. (2025). Janus particles stabilized asymmetric porous composites for thermal rectification. Nature Communications, 16.
    https://www.nature.com/articles/s41467-025-60792-4
  4. Elsevier. (n.d.). Scopus author details: Xinghua Zheng, Author ID 35735654300. Scopus.
    https://www.scopus.com/pages/authors/35735654300

Jyotsna More | Technology | Innovative Research Award

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