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

Miroslaw Wcislik | Electric Engineering | Research Excellence Award

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Prof. Dr. Miroslaw Wcislik | Electric Engineering | Research Excellence Award

Department of Electric Engineering, Automatics and Computer Science | Kielce University Of Technology | Poland

Prof. Mirosław Wcislik is a distinguished scholar in electrical and control engineering, internationally recognized for his pioneering contributions to dynamic systems, power engineering, and advanced control modeling. His academic career reflects decades of excellence in research, teaching, and scientific leadership, with strong impact on both theoretical development and industrial application. His expertise spans control systems, power quality, dynamic modeling, and computer-aided design, supported by advanced simulation methodologies. His scholarly impact includes 177 citations across 150 citing documents, 77 published works, and an h-index of 6, demonstrating sustained academic influence. He has also contributed significantly to international standardization, professional societies, and high-impact scientific dissemination across global engineering communities.

Citation Metrics (Scopus)

200

150

100

50

0

Citations
177

Documents
77

h-index
6

📘 Citations 📕 Documents 📗 h-index


View Scopus Author Profile

Featured Publications

Xinyu Chen | Electrical Engineering | Best Researcher Award

Published on by Global CAD Awards

Ms. Xinyu Chen | Electrical Engineering | Best Researcher Award 

Student | Zhengzhou University of Light Industry | China

Chen Xinyu is a dedicated electrical engineer specializing in R&D testing, electrical systems, and power automation, with academic training covering electrical equipment, power electronics, energy utilization, high voltage technology, relay protection, and power system analysis. She has gained professional experience through internships at Jintai Can Manufacturing, where she worked as a CAD drafting intern, and at Great Wall Motors as an equipment administrator, ensuring safe and stable machinery operations. Her research contributions include developing intelligent systems for monitoring and predicting cable insulation status, conducting in-depth studies on fault diagnosis of power electronic converters using deep learning, and designing advanced methods for partial discharge localization with optimized algorithms, leading to both publications and patents. Her research interests focus on intelligent fault prediction, deep learning applications in converter diagnostics, optimization methods for complex power environments, and predictive maintenance technologies. Recognized with scholarships, technical certifications, and competition awards, she is proficient in tools such as COMSOL, CAD, SolidWorks, MATLAB, Python, and Origin. Combining adaptability, proactive learning, teamwork, and communication skills, she demonstrates resilience and diligence, positioning herself to make valuable contributions to both industry and research while upholding professional excellence.

Profile:  Scopus 

Featured Publications

An, X. (2026). Multi-path propagation homogenization and partial discharge localization method utilizing a multi-mode optimized Squirrel search algorithm. Electric Power Systems Research, 226, 107276.

 

 

 

 

 

Emrah Cetin |Electric Machines | Best Researcher Award

Published on by Global CAD Awards

Assist. Prof. Dr. Emrah Cetin |Electric Machines | Best Researcher Award

Assistant Professor,Tarsus University,Turkey

Assist. Prof. Dr. Emrah Çetin is a faculty member in the Department of Electrical and Electronics Engineering at Tarsus University, Turkey. His research focuses on electric vehicle technologies, motor design, and energy systems. Dr. Çetin has contributed extensively to the development of permanent magnet motors, machine learning applications in autonomous vehicles, and electric drive systems. He has published widely in scientific journals and conferences, showcasing expertise in advanced motor designs and renewable energy technologies

Summary:

Assist. Prof. Dr. Emrah Cetin is a highly skilled and dedicated academic and researcher with a focus on electric machine design, motor drives, and renewable energy systems. His solid academic background, postdoctoral research, and diverse international collaborations position him as a promising candidate for the Best Researcher Award. His research interests align with crucial global challenges, and his academic contributions have the potential to influence both academic and practical advancements in electrical engineering.

 

Professional Profiles:

Scopus

Google Scholar

🎓 Education :

Dr. Emrah Çetin holds a PhD in Electrical and Electronics Engineering from Erciyes University (2012–2018), where he focused on advanced electric machine design and analysis. He also earned his Master’s degree in the same field from Erciyes University (2010–2012), specializing in motor design and power electronics applications. He completed his undergraduate studies in Electrical and Electronics Engineering at Gazi University (2005–2010), establishing a strong foundation in electrical systems.

 

🏢 Experience:

Dr. Çetin is currently an Assistant Professor at Yozgat Bozok University in the Engineering and Architecture Faculty (2018–Present), where he leads research in electric machine design, power electronics, and renewable energy technologies. Previously, he worked as a Postdoctoral Research Associate at the University of Sheffield (2021–2022), focusing on electric machine designs for industrial applications. He also served as a Research Scholar at the University of Wisconsin-Madison’s WEMPEC group (2015–2016), conducting research in electric machine design and power electronics. Earlier, he contributed as a Research Assistant at Erciyes University (2010–2018), participating in several funded projects on electric vehicle motor designs.

🛠️Skills:

Dr. Çetin possesses specialized expertise in electric machine design, particularly in axial flux and permanent magnet machines. He is proficient in developing advanced motor drives for electric vehicles, including the use of brushless DC motors and SiC MOSFETs. His strong knowledge in power electronics and renewable energy technologies, such as wind energy, complements his work on motor drives and electric vehicles. He is fluent in both Turkish and English, which supports his international collaboration and communication in academic research.

 

Research Focus :

Dr. Emrah Çetin’s research focuses on sustainable energy solutions through electric machine design and power electronics. His work is centered on enhancing the efficiency and performance of electric vehicles, particularly through the development of axial flux machines and permanent magnet motors. He also explores renewable energy systems, including wind energy, aiming to create innovative, efficient designs that address the growing global demand for sustainable technologies.

 

🔬Awards:

Dr. Çetin has successfully managed and completed multiple projects, including the “Brushless DC motor drive design for electric vehicles using SiC MOSFETs” (2022) and “Hub Motor Design for Electric Vehicles” (2020). His research contributions are recognized through a h-index of 6, indicating significant academic influence in the field of electrical engineering.

 

Conclusion:

Dr. Cetin demonstrates substantial strengths as an academic and researcher, with a focused and promising research trajectory. However, there is room for growth in terms of increasing his research visibility and broadening his collaborative efforts. With strategic improvements in these areas, Dr. Cetin has the potential to make even more significant contributions to the field of electrical engineering and related industries. Therefore, he is a suitable candidate for the Best Researcher Award, especially considering his ongoing commitment to advancing knowledge in key technological sectors.

 Publications:

  • Cogging torque reduction by utilizing the unequal rotor slot arc method for FSPM Machines
    Author: Çetin, E.
    Journal: Ain Shams Engineering Journal, 2024, 15(11), Article ID: 103008.
    Citations: 0

 

  • The Effects of the Unequal Rotor Slot Arc on Cogging Torque for Flux Switching Permanent Magnet Machines
    Author: Çetin, E.
    Journal: El-Cezeri Journal of Science and Engineering, 2024, 11(1), pp. 73–80.
    Citations: 0

 

  • Rotor pole and stator tooth shaping in FSPM machines for torque performance optimization
    Authors: Çetin, E., Zhu, Z.Q.
    Journal: COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2024.
    Citations: 0

 

  • Solution of Real-Time Traffic Signs Detection Problem for Autonomous Vehicles by Using YOLOV4 and Haar Cascade Algorithms
    Authors: Ortataş, F.N., Çetin, E.
    Journal: International Journal of Automotive Science and Technology, 2023, 7(2), pp. 125–140.
    Citations: 2

 

  • Torque Effects of the Stator Slot Opening Geometry Error in Production of Axial Flux PM Motors
    Author: Çetin, E.
    Journal: El-Cezeri Journal of Science and Engineering, 2022, 9(3), pp. 1005–1012.
    Citations: 0

 

  • The Performance Comparison of the SiC and Si Mosfets Used in the 3-Phase Brushless DC Motor Drives for Electric Vehicles
    Authors: Sevım, E., Çetin, E.
    Journal: International Journal of Automotive Science and Technology, 2022, 6(4), pp. 331–339.
    Citations: 3

 

  • Optimization of Torque Performance of FSPM Machines by Rotor Pole Shaping using FEA and Genetic Algorithm
    Authors: Çetin, E., Zhu, Z.Q.
    Conference: SMART 2022, 2nd International Conference on Sustainable Mobility Applications, Renewables, and Technology, 2022.
    Citations: 4

 

  • Lane Tracking with Deep Learning: Mask RCNN and Faster RCNN
    Authors: Ortatas, F.N., Çetin, E.
    Conference: ASYU 2022, Innovations in Intelligent Systems and Applications Conference, 2022.
    Citations: 5

 

  • Comparative Study of Yokeless Dual-rotor and External-rotor Radial-Flux Fractional-Slot PM Machines
    Authors: Ran, Z.T., Zhu, Z.Q., Wei, F.R., Çetin, E.
    Conference: ICEM 2022, International Conference on Electrical Machines, 2022, pp. 1913–1919.
    Citations: 3

 

  • Traffic sign recognition and the application of simulation using machine learning in electric and autonomous vehicles
    Authors: Ortataş, F.N., Çetin, E.
    Journal: El-Cezeri Journal of Science and Engineering, 2021, 8(3), pp. 1081–1092.
    Citations: 4