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

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

Na Wang | Technology Scientists Innovations | Innovative Research Award

Innovative Research Award

Na Wang
Shandong Jiaotong University

Na Wang
Affiliation Shandong Jiaotong University
Country China
Scopus ID 57209983398
Documents 16
Citations 77
h-index 4
Subject Area Technology Scientists Innovations
Event Technology Scientists Awards
ORCID 0000-0001-7302-9849

Na Wang is affiliated with Shandong Jiaotong University, China, and has contributed to research activities within technology-driven scientific innovation. The researcher has established a publication record indexed in Scopus, demonstrating engagement in applied technological studies, innovation-oriented investigations, and interdisciplinary scientific development. This article summarizes the academic profile, scholarly contributions, publication activities, research impact, and suitability for recognition through the Innovative Research Award.[1]

Abstract

Na Wang’s research activities reflect engagement in technology-oriented scientific innovation, emphasizing practical applications, engineering development, and interdisciplinary problem solving. Through scholarly publications indexed in international databases, the researcher has contributed to advancing knowledge in technological systems and innovation methodologies. The publication portfolio demonstrates consistent participation in academic research, with measurable citation impact and recognized visibility within the scientific community. These achievements illustrate commitment to research quality, knowledge dissemination, and technological advancement. The academic profile supports recognition through the Innovative Research Award for contributions that encourage scientific progress and innovation-driven development.[1][2]

Keywords

Technology Innovation, Intelligent Systems, Engineering Research, Transportation Technology, Data Analysis, Applied Science, Scientific Innovation, Digital Transformation, Research Methodology, Technological Development, Smart Infrastructure, Computational Modeling.

Introduction

Technological innovation plays a central role in addressing modern scientific and engineering challenges. Na Wang’s academic activities contribute to this evolving landscape through research focused on applied technology, interdisciplinary collaboration, and knowledge generation. Such efforts support scientific advancement while promoting practical solutions with academic and societal relevance.[1]

Research Profile

Na Wang is affiliated with Shandong Jiaotong University and maintains an active scholarly presence through internationally indexed publications. The research profile includes sixteen Scopus-indexed documents, citation activity, and contributions to technology-oriented scientific studies that support innovation, engineering applications, and academic knowledge dissemination.[1]

Research Contributions

The research contributions associated with Na Wang demonstrate participation in technological investigations addressing practical and theoretical challenges. Through scholarly outputs, the researcher has supported innovation-focused studies, interdisciplinary methodologies, and evidence-based scientific inquiry that contribute to advancing technology and improving research-driven solutions.[2]

Publications

The publication record includes sixteen indexed documents reflecting continuous engagement with scientific research and technological innovation. These publications contribute to academic discourse, support knowledge transfer, and demonstrate sustained scholarly productivity. Citation performance further indicates visibility and utilization of the research within relevant communities.[1]

Research Impact

Research impact is reflected through citation activity, scholarly engagement, and contribution to ongoing scientific discussions. With seventy-seven citations and an established publication profile, the research demonstrates measurable academic influence while supporting technological advancement and broader dissemination of innovation-oriented knowledge.[1]

Award Suitability

Na Wang’s combination of scholarly productivity, citation performance, and involvement in technology-focused research aligns with the objectives of the Innovative Research Award. The demonstrated commitment to scientific inquiry, innovation, and academic contribution provides a strong foundation for recognition within the international research community.[3]

Conclusion

Na Wang has established a research profile characterized by scholarly publications, measurable citation impact, and active engagement in technological innovation. The academic achievements and contributions summarized in this article demonstrate continued dedication to advancing scientific knowledge and supporting innovation-driven research excellence.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Na Wang, Author ID 57209983398. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57209983398
  2. ORCID. (n.d.). Na Wang Research Profile. https://orcid.org/0000-0001-7302-9849
  3. Technology Scientists Awards. (n.d.). Innovative Research Award evaluation and recognition framework. https://technologyscientists.com/

Jiyoun Song | Technology | Research Excellence Award

Dr. Jiyoun Song | Technology | Research Excellence Award

University of Pennsylvania School of Nursing | United States

Dr. Jiyoun Song is an accomplished researcher in nursing science and health outcomes research at the University of Pennsylvania School of Nursing, with a strong focus on patient-centered care, symptom management, quality of life, and evidence-based nursing interventions across diverse clinical populations. She has demonstrated sustained scholarly productivity with 79 peer-reviewed publications that have received 664 citations, achieving an h-index of 14, reflecting both research quality and long-term impact. Her work is characterized by rigorous methodology and meaningful translation of research findings into clinical and policy-relevant contexts. Dr. Song maintains a broad collaborative profile, having worked with over 150 national and international co-authors, underscoring her active engagement in interdisciplinary and global research networks. Collectively, her contributions have advanced nursing practice, informed healthcare delivery models, and generated measurable social impact through improved patient outcomes and the integration of evidence-based care into real-world health systems.

Citation Metrics (Scopus)

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Top 5 Featured Publications

Naveed Ahmed | Technology Scientists Innovations | Best Researcher Award

Assist. Prof. Dr. Naveed Ahmed | Technology Scientists Innovations | Best Researcher Award

Assistant Professor at University of Tabuk in Saudi Arabia.

Dr. Naveed Ahmed is a distinguished scientist in Medical Microbiology whose research seamlessly blends laboratory science with clinical impact. Currently serving as Assistant Professor at the University of Tabuk, Saudi Arabia, he earned his Ph.D. from Universiti Sains Malaysia, where he was recognized for academic excellence and timely graduation. His work spans infectious disease diagnostics, antimicrobial resistance mechanisms, nanomedicine applications, and computational vaccine design. With over 46 Q1/Q2 publications, an H-index of 23, Dr. Ahmed has contributed to global health datasets and collaborative studies published in top-tier journals such as The Lancet. His innovations include patented laboratory protocols for microbial diagnostics and immune profiling. Known for his capacity to integrate molecular methods, bioinformatics, and translational science, Dr. Ahmed’s career reflects both depth of expertise and breadth of interdisciplinary collaboration, making him a prominent figure in the global fight against infectious diseases.

Professional Profile

Scopus | Google Scholar | ORCID

Education 

Dr. Ahmed holds a Doctor of Philosophy in Medical Microbiology from Universiti Sains Malaysia. His doctoral research, supported by competitive scholarships and awards, focused on molecular pathogenesis of Epstein–Barr Virus-associated cancers and immune checkpoint modulation. Prior to his Ph.D., he earned a Master of Science in Microbiology from the University of Central Punjab, Pakistan, where he developed expertise in bacteriology, immunology, and clinical diagnostics. His academic journey began with a BS (Honors) in Medical Laboratory Technology from the University of the Punjab, Pakistan, where he cultivated laboratory proficiency and research skills. Throughout his education, Dr. Ahmed actively engaged in research projects, academic presentations, and interdisciplinary collaborations, laying a foundation for high-impact publications and translational innovations. This diverse and rigorous educational background enables him to tackle complex biomedical challenges through both experimental and computational approaches.

Experience 

Dr. Ahmed’s professional trajectory blends academic teaching, laboratory management, and high-impact research. As Assistant Professor at the University of Tabuk, he teaches undergraduate and diploma-level courses, designs curricula, and fosters research collaborations with international teams. Previously, as a Graduate Research Assistant at Universiti Sains Malaysia, he managed grant-funded projects, secured ethical clearances, coordinated multi-institutional studies, and delivered results published in Q1/Q2 journals. Earlier roles as Laboratory Technologist at the Pakistan Kidney and Liver Institute and as Microbiology Supervisor at Chughtai Lab honed his expertise in clinical diagnostics, antimicrobial stewardship, biosafety, and ISO 15189 implementation. His teaching experience includes visiting lectureships at the University of Central Punjab and Imperial College of Business Studies. Across all roles, Dr. Ahmed has demonstrated leadership in laboratory innovation, research project management, and academic mentorship, ensuring his contributions extend from the bench to the classroom and into public health policy.

Research Focus 

Dr. Ahmed’s research focuses on the intersection of microbial pathogenesis, diagnostics, and therapeutic innovation. His investigations into antimicrobial resistance encompass genetic profiling of multidrug-resistant pathogens, elucidating resistance mechanisms induced by heavy metal exposure, and identifying virulence factors in hospital-acquired infections. In virology, he has advanced understanding of Epstein–Barr Virus latency genes and their role in immune checkpoint regulation, with implications for immunotherapy. He also explores nanomedicine, developing carbon-based nanomaterials and bioactive microbial compounds as diagnostic and therapeutic agents against cancer. His computational vaccine design projects leverage immunoinformatics to engineer multi-epitope vaccines targeting high-burden pathogens. Additionally, Dr. Ahmed contributes to global health surveillance datasets, applying systematic review and meta-analysis methods to epidemiological trends. His integrative approach combines molecular biology, bioinformatics, and translational science, aiming to bridge laboratory research with deployable healthcare solutions that address both infectious diseases and oncology in resource-diverse settings.

Awards & Honors 

Dr. Ahmed’s achievements are recognized through numerous competitive awards. He received the Graduate on Time Award (2024) and was nominated for the Best Ph.D. Thesis Award at Universiti Sains Malaysia. His presentation skills earned him 2nd place and the Young Investigator Award at the 9th Regional Conference on Molecular Medicine (2023). He twice won the prestigious Sanggar Sanjung Award (2021, 2022) for best publication-based research among USM students and was recognized as Best Oral Presenter in the departmental journal club (2022). Early in his career, he won Best Poster Presentation at the Annual Conference of Medical Microbiology and Infectious Diseases Society of Pakistan (2020). His research funding success includes grants from the Malaysian Ministry of Higher Education and industry collaborations with Medical Innovation Ventures. Combined with international fellowships and professional memberships, these honors underscore his sustained excellence in research, innovation, and scholarly dissemination.

Publication Top Notes

Title: The Microbial Sources of Bioactive Compounds: Potential Anticancer Therapeutic Options
Authors: Ahmed, N., Abusalah, M. A. H. A., Absar, M., Nasir, M. H., Farzand, A., Ahmad, I., Sohail, Z., Singh, K. K. B., Baig, A. A., & Yean, C. Y.
Journal: Nano Life, Vol. 15, 2430007.
Summary: Microbial metabolites from bacteria and fungi were isolated, characterized, and screened for anticancer activity. Several showed high selectivity and strong molecular target binding, offering sustainable leads for oncology drug development.

Title: Carbon-based Nanomaterials as Multifunctional Particles for Cancer Diagnosis and Treatment
Authors: Ahmed, N., Abusalah, M. A. H. A., Absar, M., Noor, M. S., Bukhari, B., Anjum, S. A., Singh, K. K. B., & Yean, C. Y.
Journal: Nano Life, Vol. 15, 2430005.
Summary: Graphene oxide, carbon nanotubes, and fullerenes were functionalized for targeted cancer imaging and therapy. They enabled enhanced tumor visualization, sustained drug release, and effective photothermal/photodynamic treatment, advancing nanotheranostic applications.

Title: Immunoinformatic Execution and Design of an Anti–Epstein–Barr Virus Vaccine with Multiple Epitopes Triggering Innate and Adaptive Immune Responses
Authors: Ahmed, N., Rabaan, A. A., Alwashmi, A. S., et al.
Journal: Microorganisms, Vol. 11, 2448.
Summary: A computational pipeline identified epitopes from EBV latent and lytic proteins, modeled their MHC binding, and simulated strong immune responses. Codon optimization suggested efficient bacterial expression, supporting rapid vaccine prototyping.

Title: Heavy Metal (Arsenic) Induced Antibiotic Resistance among Extended-Spectrum β-Lactamase (ESBL) Producing Bacteria of Nosocomial Origin
Authors: Ahmed, N., Tahir, K., Aslam, S., et al.
Journal: Pharmaceuticals, Vol. 15, 1426.
Summary: Arsenic in hospital effluents was linked to co-selection of plasmid-borne ESBL and arsenic resistance genes. This co-resistance highlights environmental drivers of antimicrobial resistance and the need for better wastewater control.

Title: Updates on Epstein–Barr Virus (EBV)-Associated Nasopharyngeal Carcinoma: Emphasis on the Latent Gene Products of EBV
Authors: Ahmed, N., Abusalah, M. A. H. A., Farzand, A., Absar, M., Yusof, N. Y., Rabaan, A. A., et al.
Journal: Medicina, Vol. 59, Issue 2.
Summary: This review outlines how EBV latent proteins like LMP1 and EBNA1 drive oncogenesis, evade immunity, and present therapeutic targets, emphasizing potential immunotherapy approaches for endemic regions.

Title: The Antimicrobial Efficacy against Selective Oral Microbes, Antioxidant Activity and Preliminary Phytochemical Screening of Zingiber officinale
Authors: Ahmed, N., Karobari, M. I., Yousaf, A., et al.
Journal: Infection and Drug Resistance,pp. 2773–2785.
Summary: Methanolic and aqueous ginger extracts inhibited oral pathogens and showed strong antioxidant activity linked to high phenolic and flavonoid content, supporting its use in oral health products.

Title: Antibiotic Resistance Profile in Relation to Virulence Genes fimH, hlyA and usp of Uropathogenic E. coli Isolates in Lahore, Pakistan
Authors: Ahmed, N., Zeshan, B., Naveed, M., et al.
Journal: Tropical Biomedicine, Vol. 36, pp. 559–568.
Summary:In clinical isolates, fimH and hlyA genes correlated with multidrug resistance. The findings stress the dual risk of resistance and virulence in urinary tract infections.

Conclusion

Dr. Naveed Ahmed possesses the academic excellence, research productivity, and global engagement expected of a Best Researcher Award recipient. His combination of high-impact publications, patents, conference recognition, and international collaborations demonstrates a clear commitment to advancing knowledge and innovation in medical microbiology and infectious diseases. With continued emphasis on leadership in large-scale research initiatives and translational impact, he is exceptionally well-suited for this award and has strong potential to contribute even more significantly to the scientific community in the future.