Mishelle Doorasamy | Accounting and Finance | Innovative Research Award

Published on by Global CAD Awards

 

Innovative Research Award

Mishelle Doorasamy
Researcher Mishelle Doorasamy
Affiliation University of KwaZulu-Natal
Country South Africa
Scopus ID 56897215100
Documents 33
Citations 214
h-index 8
Subject Area Accounting and Finance
Event Global Cad Awards
ORCID 0000-0001-9320-3461

Mishelle Doorasamy
University of KwaZulu-Natal, South Africa

The Innovative Research Award recognizes researchers who have demonstrated meaningful scholarly contributions through sustained research activity, academic publications, and measurable impact within their respective disciplines. Mishelle Doorasamy has established an active research profile in accounting and finance through peer-reviewed publications, scholarly collaborations, and contributions to contemporary research discussions.[1]

Abstract

Mishelle Doorasamy’s academic profile reflects continued engagement in accounting and finance research with emphasis on producing peer-reviewed scholarly work and contributing to knowledge development. Her publication record, citation performance, and collaborative research activities demonstrate consistent participation in the advancement of financial and accounting scholarship.[1][2]

Keywords

Accounting, Finance, Financial Reporting, Corporate Governance, Sustainability Reporting, Auditing, Higher Education, Business Research, Research Impact, Scholarly Publications.

Introduction

Accounting and finance research plays a central role in improving transparency, governance, organizational performance, and financial decision-making. Researchers working within these disciplines contribute evidence-based knowledge that supports businesses, policymakers, and educational institutions. Through scholarly publications and academic collaboration, researchers continue to strengthen theoretical understanding while addressing practical financial challenges.[2]

Research Profile

According to the available Scopus author profile, Mishelle Doorasamy has authored 33 indexed documents that have collectively received 214 citations, resulting in an h-index of 8. These metrics indicate sustained scholarly productivity and measurable academic influence within accounting and finance research.[1]

  • Subject specialization in Accounting and Finance.
  • Indexed publications in internationally recognized databases.
  • Research collaboration through peer-reviewed academic outputs.
  • Demonstrated citation impact across scholarly literature.

Research Contributions

The research contributions of Mishelle Doorasamy include scholarly investigations within accounting, financial management, governance, reporting practices, and related business disciplines. Her published work contributes to academic discussion by supporting evidence-based approaches, encouraging analytical evaluation of financial systems, and strengthening educational and professional understanding of accounting practices.[1]

Publications

The research portfolio consists of peer-reviewed journal articles indexed within Scopus and other scholarly databases. These publications collectively demonstrate continuous academic engagement and contribute to citation visibility within the accounting and finance research community.[1]

  • Peer-reviewed accounting research.
  • Finance and governance publications.
  • Collaborative scholarly articles.
  • Research indexed in international citation databases.

Research Impact

Citation indicators provide measurable evidence of academic visibility and research influence. With 214 citations and an h-index of 8, the available bibliometric profile demonstrates that multiple publications have received recognition from subsequent scholarly work, indicating continuing relevance within the academic community.[1]

Award Suitability

Based on the documented publication record, citation performance, research consistency, and demonstrated academic engagement, Mishelle Doorasamy exhibits characteristics aligned with the objectives of the Innovative Research Award. The available scholarly evidence reflects sustained contributions to accounting and finance while maintaining an active presence in peer-reviewed research and academic dissemination.[1][2]

Conclusion

The available academic indicators present a well-established research profile characterized by consistent scholarly productivity and measurable citation impact. Continued contributions to accounting and finance research support the recognition of Mishelle Doorasamy within the broader academic community and demonstrate alignment with the objectives of international academic recognition programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mishelle Doorasamy, Author ID 56897215100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56897215100
  2. The impact of credit risk on performance: a case of South African commercial banksDOI: https://journals.sagepub.com/doi/abs/10.1177/0972150920969927
  3. ORCID. (n.d.). ORCID researcher identifier.

    https://orcid.org/0000-0001-9320-3461
  4. Capital structure, firm value and managerial ownership: Evidence from East African countrieshttps://www.proquest.com/openview/c581b14e62dc26270bd664e009574387/1?pq-origsite=gscholar&cbl=4368392
  5. Cleaner production, environmental and economic sustainability of production firms in South Africahttps://www.sciencedirect.com/science/article/pii/S0959652621009276

Heng Ouyang | Structural Health Monitoring | Best Researcher Award

Published on by Global CAD Awards

Best Researcher Award

Heng Ouyang
Affiliation Hebei University of Technology
Country China
Scopus ID 57217873805
Documents 20
Citations 272
h-index 8
Subject Area Structural Health Monitoring
Event Global Cad Awards

Heng Ouyang
Hebei University of Technology

Heng Ouyang is affiliated with Hebei University of Technology, China, and is engaged in research focused on structural health monitoring and related engineering technologies. His scholarly contributions include peer-reviewed publications indexed in international databases and research addressing monitoring methodologies, sensing technologies, structural reliability, and engineering applications. Based on publicly available academic metrics, his research demonstrates a developing citation profile and sustained publication activity within the field.[1]

Abstract

This article presents an academic overview of Heng Ouyang’s research profile in structural health monitoring. It summarizes scholarly productivity, research themes, publication record, research impact, and overall suitability for recognition through the Best Researcher Award. The assessment is based on publicly available scholarly information and recognized bibliographic sources.[1]

Keywords

Structural Health Monitoring, Damage Detection, Smart Structures, Civil Engineering, Sensor Technology, Vibration Monitoring, Infrastructure Assessment, Engineering Diagnostics, Reliability Engineering, Data Analysis.

Introduction

Structural health monitoring is an interdisciplinary engineering field that combines sensing technologies, signal processing, structural mechanics, and data-driven analysis to evaluate the condition of engineering infrastructure. Researchers in this discipline contribute to improving safety, maintenance planning, and lifecycle management for bridges, buildings, transportation systems, and industrial facilities. Heng Ouyang’s scholarly work aligns with these objectives through research addressing structural monitoring methodologies and engineering reliability.[2]

Research Profile

According to publicly available Scopus indexing, Heng Ouyang has authored 20 indexed documents with 272 citations and an h-index of 8. These indicators reflect consistent research activity and measurable academic influence within structural health monitoring and related engineering disciplines. His research portfolio demonstrates engagement in collaborative scientific investigations and dissemination through peer-reviewed publications.[1]

Research Contributions

The research contributions associated with Heng Ouyang primarily involve structural monitoring techniques, engineering diagnostics, sensing systems, and methods supporting infrastructure assessment. His publications contribute to advancing knowledge related to monitoring accuracy, structural integrity evaluation, and practical engineering implementation. These studies support the broader development of resilient infrastructure and evidence-based maintenance strategies.[2]

  • Structural health monitoring methodologies.
  • Sensor-based engineering assessment.
  • Damage identification and structural diagnostics.
  • Engineering reliability and infrastructure evaluation.

Publications

The publication record consists of peer-reviewed journal articles and conference contributions indexed within recognized scholarly databases. Representative research themes include structural sensing, monitoring algorithms, engineering inspection techniques, and infrastructure diagnostics.[1]

  • Peer-reviewed journal publications in engineering.
  • Research on structural monitoring technologies.
  • Studies involving engineering diagnostics and reliability.
  • Articles contributing to applied infrastructure research.

Research Impact

Bibliometric indicators show measurable scholarly visibility through citations and an established h-index. Citation activity suggests that the published work has been referenced by other researchers investigating structural monitoring and engineering systems. Such metrics provide quantitative evidence of academic engagement while complementing qualitative evaluation of research quality.[1]

Award Suitability

Based on the available publication record, citation metrics, and research specialization, Heng Ouyang demonstrates characteristics that are relevant for consideration within the Best Researcher Award category. His documented scholarly contributions, sustained publication activity, and engagement in structural health monitoring support recognition of ongoing academic achievement while reflecting continued research development within the engineering community.[1]

Conclusion

Heng Ouyang has established a research profile centered on structural health monitoring through peer-reviewed publications, measurable citation impact, and engineering-focused scholarship. His academic activities contribute to the advancement of infrastructure monitoring technologies and support the objectives of evidence-based engineering research. The available scholarly indicators provide a foundation for recognition within academic award programs that acknowledge sustained research excellence.[1]

References

  1. Scopus author details: Heng Ouyang, Author ID 57217873805.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=57217873805
  2. Optimal sensor placement for uncertain inverse problem of structural parameter estimation
    https://www.sciencedirect.com/science/article/pii/S0888327021003095
  3. Correlation propagation for uncertainty analysis of structures based on a non-probabilistic ellipsoidal model
    https://www.sciencedirect.com/science/article/pii/S0307904X20302778
  4. A novel dynamic model updating method for composite laminate structures considering non-probabilistic uncertainties and correlations
    https://www.sciencedirect.com/science/article/pii/S0263822322001635
  5. Non-probabilistic uncertain inverse problem method considering correlations for structural parameter identification
    https://link.springer.com/article/10.1007/s00158-021-02920-4

Jian-fei Shi | Gear System Engineering | Best Researcher Award

Published on by Global CAD Awards

Best Researcher Award

Jian-fei Shi
Lanzhou University of Technology, China

Jian-fei Shi
Affiliation Lanzhou University of Technology
Country China
Scopus ID 57194331097
Documents 49
Citations 806
h-index 15
Subject Area Gear System Engineering
Event Global Cad Awards

Jian-fei Shi is a researcher affiliated with Lanzhou University of Technology whose scholarly activities primarily focus on gear system engineering, mechanical transmission technology, dynamics, and advanced manufacturing research. His academic profile demonstrates sustained contributions through peer-reviewed publications, measurable citation impact, and continuing engagement with engineering research. These characteristics support consideration for academic recognition within the framework of the Global Cad Awards.[1]

Abstract

This article summarizes the academic profile of Jian-fei Shi in the field of gear system engineering. His research reflects sustained contributions to mechanical transmission, gear dynamics, structural optimization, and engineering design supported by a publication record, citation performance, and recognized scholarly activity. The profile is presented in a neutral encyclopedic style for academic reference.[1]

Keywords

  • Gear System Engineering
  • Gear Dynamics
  • Mechanical Transmission
  • Machine Design
  • Tribology
  • Finite Element Analysis
  • Mechanical Engineering

Introduction

Research in gear system engineering plays an essential role in improving mechanical efficiency, durability, precision manufacturing, and industrial automation. Jian-fei Shi has contributed to this research area through investigations involving gear transmission performance, vibration characteristics, structural optimization, and engineering applications that support modern mechanical systems.[2]

Research Profile

According to publicly available scholarly records, Jian-fei Shi has authored forty-nine indexed publications with more than eight hundred citations and an h-index of fifteen. These indicators demonstrate consistent academic productivity and measurable influence within engineering literature while reflecting continuing engagement with peer-reviewed scientific research.[1]

Research Contributions

The research contributions associated with Jian-fei Shi include investigations into gear contact mechanics, transmission efficiency, dynamic behavior, mechanical reliability, numerical simulation, and optimization methods for rotating machinery. These studies contribute to improved engineering performance and provide technical knowledge useful for manufacturing, transportation, and industrial equipment design.[2]

Publications

The publication record includes journal articles addressing gear transmission systems, vibration analysis, structural optimization, fatigue behavior, and computational mechanical engineering. Representative publications are indexed within international scholarly databases and include articles carrying Digital Object Identifiers (DOIs).[3]

  • Peer-reviewed engineering journal articles.
  • Research on gear dynamics and transmission optimization.
  • Finite element modelling and structural analysis.
  • Engineering applications in mechanical system design.

Research Impact

Citation indicators and publication output suggest that the research has been referenced by other investigators working in mechanical engineering and gear transmission technologies. Such impact metrics provide quantitative evidence of scholarly visibility while complementing qualitative assessments of research quality and technical relevance.[1]

Award Suitability

Based on publicly available scholarly metrics, publication activity, citation performance, and sustained contributions to gear system engineering, Jian-fei Shi demonstrates characteristics commonly associated with candidates considered for academic recognition. The documented research record reflects continuing scholarly engagement, peer-reviewed dissemination, and measurable academic influence appropriate for evaluation within the Global Cad Awards Best Researcher Award category. Final award decisions remain subject to the official assessment criteria established by the organizing committee.[1]

Conclusion

Jian-fei Shi has established a documented academic profile characterized by sustained engineering research, peer-reviewed publications, and measurable scholarly impact. His work contributes to the advancement of gear system engineering and mechanical transmission research while supporting continued academic development within the international engineering community.[2]

References

  1. Scopus author details: Jian-fei Shi, Author ID 57194331097.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=57194331097
  2. Multi-state dynamics of planetary gear transmission under eccentricity-induced orbiting motion
    https://www.sciencedirect.com/science/article/pii/S0094114X26001400
  3. Exploring health-to-instability transitions in geared Systems based on tooth surface contact fatigue failure
    https://www.sciencedirect.com/science/article/pii/S1007570426003175

  4. Study on Multi-state Engaging and Disengaging Proportion Characteristics of a Gear-rotor-bearing System

    https://www.sciencedirect.com/science/article/abs/pii/S0022460X22005430

Maliki-Otieboame-Djandjieme | Geotechnical and Geoenvironmental Engineering | Young Researcher Award

Published on by Global CAD Awards

Young Researcher Award

Maliki-Otieboame-Djandjieme
Affiliation YOKOHAMA NATIONAL UNIVERSITY
Country Japan
Scopus ID 57223015315
Documents 4
Citations 31
h-index 2
Subject Area Geotechnical and Geoenvironmental Engineering
Event Global Cad Awards

Maliki-Otieboame-Djandjieme

YOKOHAMA NATIONAL UNIVERSITY, Japan

Maliki-Otieboame-Djandjieme recognizes emerging researchers demonstrating scholarly excellence, research integrity, and promising contributions within their respective scientific disciplines. Maliki-Otieboame-Djandjieme is affiliated with YOKOHAMA NATIONAL UNIVERSITY, Japan, and has established an early academic profile in geotechnical and geoenvironmental engineering through peer-reviewed publications and measurable research impact documented in international bibliographic databases.[1]

Abstract

MALIKI OTIEBOAME DJANDJIEME has developed an emerging research portfolio focused on geotechnical and geoenvironmental engineering, with particular attention to sustainable ground engineering, soil behavior, and environmental geotechnics. Available bibliometric indicators demonstrate continued scholarly development through peer-reviewed publications, international visibility, and growing citation performance, supporting recognition within the Young Researcher Award category.[1]

Keywords

  • Geotechnical Engineering
  • Geoenvironmental Engineering
  • Ground Improvement
  • Soil Mechanics
  • Sustainable Infrastructure
  • Foundation Engineering
  • Environmental Geotechnics
  • Research Evaluation

Introduction

Young researchers contribute significantly to the advancement of engineering science by introducing innovative methodologies, interdisciplinary collaboration, and sustainable technological solutions. Within geotechnical and geoenvironmental engineering, early-career investigations often address challenges associated with resilient infrastructure, environmental protection, and improved soil performance. The academic activities of MALIKI OTIEBOAME DJANDJIEME align with these contemporary research priorities.[2]

Research Profile

According to publicly available Scopus bibliometric information, the researcher has authored four indexed documents receiving thirty-one citations and an h-index of two. These indicators reflect an emerging research trajectory with increasing scholarly visibility. Affiliation with YOKOHAMA NATIONAL UNIVERSITY further demonstrates engagement within an internationally recognized academic environment dedicated to engineering research and innovation.[1]

Research Contributions

Research activities have contributed to advancing knowledge in geotechnical and geoenvironmental engineering through investigations addressing engineering soils, sustainable infrastructure systems, and environmentally responsible geotechnical solutions. These studies provide scientific evidence that supports improved engineering decision-making and practical applications in civil infrastructure development.[2]

Publications

    • Peer-reviewed publications indexed in Scopus.
    • Research contributions related to geotechnical and geoenvironmental engineering.
    • International scholarly collaboration through engineering research outputs.

Research Impact

Bibliometric indicators suggest that published research has attracted scholarly attention through citations from the international research community. Although at an early stage of academic development, the citation profile demonstrates the relevance of the published work and indicates continuing research influence within specialized engineering fields.[3]

Award Suitability

The available academic evidence supports consideration for the Young Researcher Award through demonstrated publication activity, measurable citation performance, institutional affiliation with a leading research university, and ongoing contributions to geotechnical and geoenvironmental engineering. These characteristics are consistent with the objectives of recognizing promising early-career researchers who exhibit scientific quality and future research potential.[4]

Conclusion

MALIKI OTIEBOAME DJANDJIEME represents an emerging researcher contributing to geotechnical and geoenvironmental engineering through peer-reviewed scholarship and internationally indexed publications. Continued research activity, collaboration, and scientific dissemination are expected to further strengthen academic impact and support sustained professional development within the global engineering research community.[2]

References

  1. Elsevier. (n.d.). Scopus author details: MALIKI OTIEBOAME DJANDJIEME, Author ID 57223015315. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57223015315
  2. Fundamental Study on the Mechanical Characteristics of Sand Treated by a PS Ash-Based Improving Material

    https://link.springer.com/chapter/10.1007/978-981-16-0077-7_11
  3. Normal and seismic performance of backfill sand enhanced with biomass waste-derived materials under road pavement
    https://www.sciencedirect.com/science/article/pii/S0038080625000897?
  4. Effects of dry-wet cycles on the mechanical properties of sand treated with paper sludge ash-based stabilizer
    https://www.issmge.org/uploads/publications/116/117/ICEG2023-139

Amal Al-Rasheed| Computer | Best Researcher Award

Published on by Global CAD Awards

Dr . Amal Al-Rasheed| Computer | Best Researcher Award

Dr. Amal Al-Rasheed,Princess Nourah bint Abdulrahman University, Saudi Arabia

Dr. Amal Al-Rasheed is a distinguished academic at Princess Nourah bint Abdulrahman University in Saudi Arabia. With a profound expertise in [specific field or research area, if known], Dr. Al-Rasheed has made significant contributions to [mention any notable research, publications, or achievements]. Her commitment to advancing knowledge and fostering academic excellence is evident through her extensive research and teaching endeavors. Dr. Al-Rasheed is dedicated to promoting [relevant academic or professional focus], and her work continues to inspire and impact the academic community.

Summary:

Dr. Amal Abdulaziz Al-Rasheed is a highly accomplished academic with a strong track record in teaching, research, and leadership. Her extensive experience in academia, coupled with her recognized research excellence and significant contributions to the academic community, make her a strong candidate for the Best Researcher Award. Her professional engagements and service activities further illustrate her dedication to her field and institution.

Professional Profiles:

🎓 Education :

Dr. Amal Abdulaziz Al-Rasheed earned her PhD in Information Systems from King Saud University in 2017. This academic achievement marked the culmination of her deep engagement with the field, laying a strong foundation for her subsequent career in academia and research.

🏢 Experience:

Dr. Al-Rasheed has amassed extensive experience at Princess Nourah bint Abdulrahman University, where she currently serves as an Associate Professor. Her academic career began as a Teaching Assistant in 1998, followed by roles as a Lecturer from 2007 to 2017, and then as an Assistant Professor from 2017 to 2022. Beyond her academic roles, Dr. Al-Rasheed has also held significant leadership positions, including Director of the Master Program in Data Analytics (2018-2019) and Vice Dean of Postgraduate Studies and Scientific Research (2017-2018). Her non-academic contributions include technical support roles earlier in her career, adding a practical dimension to her professional profile.

🛠️Skills:

Dr. Al-Rasheed possesses a broad skill set encompassing both academic and administrative competencies. Her expertise in information systems is complemented by her leadership in higher education, where she has led committees and advised deans on strategic initiatives. Her skills are further enriched by her involvement in quality assurance, accreditation, human resources, and curriculum development, particularly in the fields of cybersecurity and data analytics.

🔬Awards:

Dr. Al-Rasheed’s contributions to academia have been recognized through several honors, most notably the Princess Nourah Bint Abdul Rahman University Award for Research Excellence in 2017. This award underscores her commitment to advancing research in her field and her role in shaping the academic landscape at her institution.

Research Focus:

Dr. Al-Rasheed’s research interests lie at the intersection of information systems, machine learning, and healthcare technology. Her work is characterized by a focus on practical applications, such as enhancing software defect prediction, optimizing data services, and developing models for emotion recognition. Her recent publications reflect a strong emphasis on cutting-edge techniques like deep learning, transfer learning, and game theory, applied to diverse challenges including cancer detection, fetal organ classification, and IoT-edge task scheduling.

Conclusion:

Dr. Al-Rasheed is a suitable candidate for the Best Researcher Award, given her comprehensive academic background, leadership roles, and research achievements. While her international exposure and interdisciplinary work could be areas to develop further, her existing contributions are substantial and impactful. Her candidacy stands out due to her dedication to both research and academic service, positioning her as a deserving nominee for this prestigious recognition.

Publications :

  • Hybridization of metaheuristic algorithm for dynamic cluster-based routing protocol in wireless sensor Networks
    • Authors: S Al-Otaibi, A Al-Rasheed, RF Mansour, E Yang, GP Joshi, W Cho
    • Source: IEEE Access
    • Year: 2021
    • Citation Count: 79

 

  • Hybrid classifier-based federated learning in health service providers for cardiovascular disease prediction
    • Authors: MM Yaqoob, M Nazir, MA Khan, S Qureshi, A Al-Rasheed
    • Source: Applied Sciences
    • Year: 2023
    • Citation Count: 36

 

  • Smart traffic monitoring through pyramid pooling vehicle detection and filter-based tracking on aerial images
    • Authors: AA Rafique, A Al-Rasheed, A Ksibi, M Ayadi, A Jalal, K Alnowaiser, et al.
    • Source: IEEE Access
    • Year: 2023
    • Citation Count: 30

 

  • An Optimal Big Data Analytics with Concept Drift Detection on High-Dimensional Streaming Data
    • Authors: RF Mansour, S Al-Otaibi, A Al-Rasheed, H Aljuaid, IV Pustokhina, et al.
    • Source: Computers, Materials & Continua
    • Year: 2021
    • Citation Count: 27

 

  • Predicting Saudi stock market index by incorporating GDELT using multivariate time series modelling
    • Authors: R Alamro, A McCarren, A Al-Rasheed
    • Source: Advances in Data Science, Cyber Security and IT Applications: First
    • Year: 2019
    • Citation Count: 24

 

  • Reliable resource allocation and management for IoT transportation using fog computing
    • Authors: HU Atiq, Z Ahmad, SK Uz Zaman, MA Khan, AA Shaikh, A Al-Rasheed
    • Source: Electronics
    • Year: 2023
    • Citation Count: 22

 

  • The Challenges Faced by Undergraduate Women during the COVID‐19 Pandemic in Saudi Arabia
    • Authors: A Al-Rasheed
    • Source: Education Research International
    • Year: 2021
    • Citation Count: 22

 

  • Effective reuse and sharing of best teaching practices
    • Authors: A Al‐Rasheed, J Berri
    • Source: Computer Applications in Engineering Education
    • Year: 2017
    • Citation Count: 19

 

  • SEMRAchain: A secure electronic medical record based on blockchain technology
    • Authors: H Mhamdi, M Ayadi, A Ksibi, A Al-Rasheed, BO Soufiene, S Hedi
    • Source: Electronics
    • Year: 2022
    • Citation Count: 17

 

  • Identification of important features and data mining classification techniques in predicting employee absenteeism at work
    • Authors: A Al-Rasheed
    • Source: International Journal of Electrical & Computer Engineering (2088-8708)
    • Year: 2021
    • Citation Count: 17

 

  • Knowledge management of best practices in a collaborative environment
    • Authors: A Al-Rasheed, J Berri
    • Source: International Journal of Advanced Computer Science and Applications
    • Year: 2016
    • Citation Count: 16