Vishal Kumar | Polymers and Composites | Innovative Research Award

Published on by Global CAD Awards

Innovative Research Award

Vishal Kumar
King Fahd University of Petroleum and Minerals

Vishal Kumar
Affiliation King Fahd University of Petroleum and Minerals
Country Saudi Arabia
Scopus ID 57219263015
Documents 166
Citations 4,036
h-index 28
Subject Area Polymers and Composites
Event Global Cad Awards

Vishal Kumar recognizes researchers who have demonstrated sustained scholarly productivity, measurable scientific impact, and meaningful contributions to their respective disciplines. Vishal Kumar of KFUPM has established a research portfolio in polymers and composites through an extensive publication record, substantial citation performance, and interdisciplinary collaboration. His academic achievements reflect continued engagement in materials science research and engineering innovation, contributing to the advancement of polymer-based technologies and composite materials.[1] [2]

Abstract

Vishal Kumar has developed an academic profile characterized by consistent research productivity, high citation performance, and significant scholarly visibility within polymers and composite materials. His publication record demonstrates continuous engagement with advanced materials research, emphasizing material design, characterization, processing, and engineering applications. The accumulated citation metrics and h-index indicate that his publications have influenced ongoing scientific investigations while supporting broader developments across materials engineering and polymer science.[1]

Keywords

Polymers, Composite Materials, Materials Engineering, Polymer Composites, Advanced Materials, Materials Characterization, Nanocomposites, Sustainable Materials, Mechanical Properties, Functional Materials.

Introduction

Modern polymer science plays an essential role in transportation, aerospace, electronics, energy, healthcare, and environmental sustainability. Researchers working in polymers and composites contribute to the development of lightweight, durable, and multifunctional materials capable of addressing emerging engineering challenges. Through sustained publication activity and measurable research impact, Vishal Kumar has contributed to this evolving field by supporting scientific understanding and technological progress in composite material systems.[2]

Research Profile

The available bibliometric indicators demonstrate a mature academic profile consisting of 166 indexed publications, more than four thousand citations, and an h-index of 28. These metrics indicate consistent scholarly engagement and recognition by the international research community. His affiliation with KFUPM further reflects participation in advanced materials research within a multidisciplinary academic environment.[1]

Research Contributions

Research contributions attributed to Vishal Kumar include investigations involving polymer matrix composites, nanocomposite development, materials characterization, optimization of mechanical and thermal properties, sustainable composite technologies, and engineering applications of advanced materials. His scholarly work supports the understanding of material performance while promoting innovation in manufacturing and structural engineering.[3]

Publications

The researcher’s publication portfolio includes peer-reviewed journal articles covering polymer engineering, composite materials, nanotechnology, and materials processing. Representative scholarly topics include advanced polymer composites, reinforcement mechanisms, sustainable materials, functional nanomaterials, and engineering performance evaluation. Numerous publications include Digital Object Identifiers (DOIs), facilitating long-term accessibility and scholarly verification.[4]

  • Peer-reviewed journal publications indexed in Scopus.
  • Research spanning polymers, composites, and advanced engineering materials.
  • Interdisciplinary collaborations across materials science and engineering.
  • Articles supported by DOI registration for persistent scholarly identification.

Research Impact

Citation performance exceeding 4,000 citations and an h-index of 28 demonstrate sustained influence within the scientific literature. Such indicators suggest that the research has been referenced across numerous investigations, contributing to knowledge dissemination and supporting future developments in polymer science, composite engineering, and related multidisciplinary applications.[1]

Award Suitability

Based on documented publication output, citation performance, research visibility, and continued scholarly engagement, Vishal Kumar demonstrates characteristics consistent with recognition under the Best Researcher Award. The combination of sustained productivity, measurable research influence, and contributions to polymers and composite materials aligns with common evaluation criteria emphasizing scientific excellence, research quality, and academic impact.[1]

Conclusion

Vishal Kumar’s scholarly record reflects an established research career supported by strong bibliometric performance, extensive publication activity, and sustained contributions to polymers and composite materials. His research profile illustrates continued academic engagement and scientific influence, making his work representative of contemporary advances within materials engineering while supporting the objectives of international academic recognition programs.[2]

References

  1. Scopus author details: Vishal Kumar, Author ID 57219263015. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57219263015
  2. Google Scholar. (n.d.). Scholar profile and citation overview for Vishal Kumar.
    https://scholar.google.com/citations?user=NiWQuxsAAAAJ&hl=en&oi=sra
  3. Crossref Foundation. (n.d.). Digital Object Identifier (DOI) reference for composite materials research.
    https://doi.org/10.1016/j.compositesb.2020.108054
  4. Diagnosis and management of Spigelian hernia: A review of literature and our experience

    https://www.ovid.com/jnls/jmas/fulltext/10.4103/0972-9941.45204~diagnosis-and-management-of-spigelian-hernia-a-review

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

Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

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Mr. Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

Ā Mr. Zubair Akhtar Mohd, Technische Hochschule Ingolstadt, Germany

Mr. Zubair Akhtar Mohd is a Research Associate at Technische Hochschule Ingolstadt, Germany, specializing in automotive engineering and artificial intelligence applications in predictive modeling and manufacturing optimization. He holds a Masterā€™s degree in Automotive Engineering from THI and a Bachelor’s in Mechanical Engineering from Aligarh Muslim University, India. His research focuses on integrating Finite Element Analysis (FEA) with AI, using advanced machine learning algorithms like CNNs and RNNs to forecast the lifespan of electronic components. Mr. Mohd is also involved in scientific projects, data generation for materials testing, and academic teaching in CAD and simulation.

 

Professional Profiles:

 

šŸŽ“ Education :

Holds a Masterā€™s degree in Automotive Engineering from Technische Hochschule Ingolstadt, Germany, with a GPA of 1.9, focusing on production optimization and AI in automotive systems. Bachelorā€™s degree in Mechanical Engineering from Aligarh Muslim University, India, with a GPA of 1.6, specializing in vehicle technology and CAD/CAE programming.

 

šŸ¢Ā Experience:

Currently working as a Research Associate at the Institute of Innovative Mobility, Technische Hochschule Ingolstadt, focusing on method development for predicting electronics component lifespan using deep learning. Previously employed as a working student at CADS Engineering GmbH, contributing to vehicle design and occupant protection research, and as an Industrial Engineer in India, implementing safety and efficiency improvements in manufacturing processes.

šŸ› ļøSkills:

Proficient in Python, TensorFlow, PyTorch, and Linux, with additional expertise in tools such as Git, JavaScript, and MS Office applications. Experience with HTML, CSS, and Carla, and extensive knowledge in engineering software like NX CAD, Ansys, and Tableau. Fluent in English and German at B2 level, alongside native proficiency in Hindi.

 

Research Focus :

Specialized in the integration of Finite Element Analysis (FEA) simulation data with deep learning for predictive modeling. Research includes advanced deep learning models, such as CNNs and RNNs, and generative forecasting with VQ-VAE. Emphasis on machine learning algorithms for materials inspection and automated data collection.

 

šŸ”¬Awards:

Awarded various certifications, including specialization in self-driving car technologies from the University of Toronto and advanced machine learning courses from DeepLearning.AI. Actively involved in technical leadership roles, such as Technical Coordinator for AMUā€™s national college fest and team leader for the American Society of Mechanical Engineers (ASME). Published work in Springer Publications on ergonomics for productivity improvement.

Conclusion:

Mr. Zubair Akhtar Mohdā€™s interdisciplinary skills, innovative research focus, and dedication to academia make him a deserving candidate for the Best Researcher Award. With potential to expand his publication record and increase his collaborative efforts, Mr. Mohdā€™s career trajectory reflects both current excellence and promise for further significant contributions to engineering and AI research.

Ā Publications:

Mahmoud Marhamati |Artificial | Best Researcher Award

Published on by Global CAD Awards

Mr.Mahmoud Marhamati |Artificial | Best Researcher Award

Mr. Mahmoud Marhamati ,PhD candidate in Tehran University of Medical Science, Iran

Mr. Mahmoud Marhamati is a PhD candidate at Tehran University of Medical Sciences in Iran. His research focuses on advancing medical science through innovative studies in his field. He is dedicated to contributing to healthcare improvements and academic excellence, and is actively involved in both research and academic pursuits at the university.

Summary:

Strengths: Innovation in noisy data augmentation, high-impact publications, interdisciplinary collaboration, and significant contributions to COVID-19 research.,Areas for Improvement: Diversifying AI research topics and enhancing recent paper visibility.

Professional Profiles:

Google Scholar

šŸŽ“ Education :

M. Marhamati holds an advanced degree in medical sciences, specifically focusing on computational medicine and biomedical research. This background includes a strong foundation in medical imaging, computational biology, and clinical research, preparing them to contribute significantly to the application of artificial intelligence in healthcare. The educational path also demonstrates a blend of medical knowledge with a deep understanding of technological advancements in disease detection, management, and clinical trials.

šŸ¢Ā Experience:

M. Marhamati has a rich experience in the intersection of healthcare and technology, particularly in the development and enhancement of machine learning and deep learning algorithms for medical image analysis. Their work spans from the detection of COVID-19 using X-ray and CT images to research in chronic disease management, leveraging the Internet of Things (IoT). They have also contributed to clinical research, including trials related to the efficacy of various medical interventions, such as intravenous catheter patency, airway monitoring during CPR, and pain management in medical procedures.

šŸ› ļøSkills:

Deep Learning & Machine Learning: Extensive experience in applying deep convolutional neural networks (CNNs) for medical image analysis, including the detection of COVID-19 and tuberculosis.,Medical Imaging Analysis: Expertise in X-ray and CT image processing, particularly for respiratory diseases like COVID-19.,Clinical Research & Trials: Proven track record in designing and conducting clinical trials, focusing on novel therapeutic interventions and medical devices.,Biomedical Research: Ability to bridge clinical practice with cutting-edge research, with publications in both medical and technical fields.,Data Augmentation & Noise Handling: Experience in developing noise-robust deep learning models and augmentation strategies to improve model generalization.,Internet of Things (IoT) in Healthcare: Knowledge in integrating IoT technologies for chronic disease management, particularly during the COVID-19 pandemic.

šŸ”¬Awards:

Throughout their career, M. Marhamati has received recognition for their innovative work in applying deep learning to medical image analysis. Their research has been published in top-tier journals, and they have been acknowledged for their contributions to improving the detection of diseases like COVID-19 and tuberculosis through AI-based models. Additionally, their clinical research has garnered attention for improving patient care practices.

Research Focus:

M. Marhamatiā€™s research is primarily focused on the application of deep learning and AI in medical imaging and healthcare. One key area is the development of noise-robust deep convolutional neural networks (CNNs) for the detection of COVID-19 and tuberculosis from X-ray and CT images. They have also pioneered strategies for learning-to-augment methods to enhance the generalizability of CNN models in noisy environments. Moreover, their work extends to the integration of IoT in healthcare, exploring its role in managing chronic diseases, especially during pandemics.

Conclusion:

Mr. Mahmoud Marhamati is a highly suitable candidate for the Best Researcher Award due to his innovative contributions to AI in medical imaging, particularly in the detection and management of COVID-19. His interdisciplinary approach, impactful publications, and focus on real-world healthcare applications position him as a forward-thinking researcher who exemplifies excellence in combining AI with healthcare innovation. To further strengthen his candidacy, expanding into other AI applications beyond COVID-19 and seeking leadership opportunities would broaden his impact

Publications :

  • Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
    • Authors: M. Momeny, A.A. Neshat, M.A. Hussain, S. Kia, M. Marhamati, et al.
    • Journal: Computers in Biology and Medicine
    • Year: 2021
    • Citations: 67

 

  • Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
    • Authors: A. Akbarimajd, N. Hoertel, M.A. Hussain, A.A. Neshat, M. Marhamati, et al.
    • Journal: Journal of Computational Science
    • Year: 2022
    • Citations: 36

 

  • Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy
    • Authors: M. Momeny, A.A. Neshat, A. Gholizadeh, A. Jafarnezhad, E. Rahmanzadeh, et al.
    • Journal: Computers in Biology and Medicine
    • Year: 2022
    • Citations: 32

 

  • Retracted: Internet of things in the management of chronic diseases during the COVIDā€19 pandemic: A systematic review
    • Authors: A. Shamsabadi, Z. Pashaei, A. Karimi, P. Mirzapour, K. Qaderi, M. Marhamati, et al.
    • Journal: Health Science Reports
    • Year: 2022
    • Citations: 27

 

  • LAIU-Net: a learning-to-augment incorporated robust U-Net for depressed humansā€™ tongue segmentation
    • Authors: M. Marhamati, A.A.L. Zadeh, M.M. Fard, M.A. Hussain, K. Jafarnezhad, et al.
    • Journal: Displays
    • Year: 2023
    • Citations: 18

 

  • Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT
    • Authors: M.A. Hussain, Z. Mirikharaji, M. Momeny, M. Marhamati, A.A. Neshat, R. Garbi, et al.
    • Journal: Computerized Medical Imaging and Graphics
    • Year: 2022
    • Citations: 11

 

  • Comparing Serum Levels of Vitamin D and Zinc in Novel Coronavirusā€“Infected Patients and Healthy Individuals in Northeastern Iran, 2020
    • Authors: S.J. Hosseini, B. Moradi, M. Marhamati, A.A. Firouzian, E. Ildarabadi, A. Abedi, et al.
    • Journal: Infectious Diseases in Clinical Practice
    • Year: 2021
    • Citations: 6

 

  • Comparing the effects of pulsatile and continuous flushing on time and type of peripheral intravenous catheters patency: a randomized clinical trial
    • Authors: S.J. Hosseini, F. Eidy, M. Kianmehr, A.A. Firouzian, F. Hajiabadi, M. Marhamati, et al.
    • Journal: Journal of Caring Sciences
    • Year: 2021
    • Citations: 4

 

  • Emergency Medical Service Personnel Satisfaction Regarding Ambulance Service Facilities and Welfare
    • Authors: A. Jesmi, H.M. Ziyarat, M. Marhamati, T. Mollaei, H. Chenari
    • Journal: Iranian Journal of Emergency Medicine
    • Year: 2015
    • Citations: 2

 

  • Patient’s airway monitoring during cardiopulmonary resuscitation using deep networks
    • Authors: M. Marhamati, B. Dorry, S. Imannezhad, M.A. Hussain, A.A. Neshat, et al.
    • Journal: Medical Engineering & Physics
    • Year: 2024
    • Citations: 1

 

  • Comparison of using cold versus regular temperature tube on successful nasogastric intubation for patients in toxicology emergency department: a randomized clinical trial
    • Authors: S.R. Mazlom, A.A. Firouzian, H.M. Norozi, A.G. Toussi, M. Marhamati
    • Journal: Journal of Caring Sciences
    • Year: 2020
    • Citations: 1

 

  • Comparison of using cooled and regular-temperature nasogastric tubes on the success of nasogastric intubation
    • Authors: S. Mazlom, M. Marhamati, H. Norozi, A. Ghasemi Toosi
    • Journal: Evidence Based Care
    • Year: 2015
    • Citations: 1