Sm Nuruzzaman Nobel | Artificial Intelligence | Best Researcher Award

Best Researcher Award

Sm Nuruzzaman Nobel
Monash University Malaysia
Sm Nuruzzaman Nobel
Affiliation Monash University Malaysia
Country Malaysia
Scopus ID 58243910800
Documents 35
Citations 634
h-index 17
Subject Area Artificial Intelligence
Event The Scientist Global Awards
ORCID 0009-0006-0858-0232

Sm Nuruzzaman Nobel is a researcher affiliated with Monash University Malaysia, with scholarly contributions in the field of Artificial Intelligence. His research activities encompass the development and application of intelligent computational methods, machine learning techniques, and data-driven approaches to address contemporary scientific and technological challenges. Based on publicly available bibliometric indicators, the researcher has established a growing academic profile characterized by peer-reviewed publications, citation impact, and interdisciplinary collaborations.[1]

Abstract

This article presents an academic overview of Sm Nuruzzaman Nobel and his research profile within the domain of Artificial Intelligence. The overview is based on publicly accessible scholarly metrics and institutional affiliation data. The researcher has contributed to scientific literature through peer-reviewed publications and collaborative research efforts that support knowledge advancement in computational intelligence and related technological fields.[1]

Keywords

Artificial Intelligence, Machine Learning, Computational Intelligence, Data Science, Predictive Analytics, Research Impact, Scientific Publications, Academic Recognition.

Introduction

Artificial Intelligence has emerged as one of the most influential scientific disciplines of the modern era, enabling innovations across healthcare, engineering, business analytics, and decision-support systems. Researchers in this field contribute to the development of algorithms, intelligent systems, and computational frameworks that improve automation and data interpretation capabilities. Within this context, Sm Nuruzzaman Nobel has participated in scholarly activities that support the advancement of intelligent technologies and data-driven research methodologies.[2]

Research Profile

According to available bibliometric information, Sm Nuruzzaman Nobel is associated with Monash University Malaysia and maintains an active research profile indexed in major academic databases. The profile records 35 scholarly documents, 634 citations, and an h-index of 17, reflecting measurable engagement with the international research community.[1]

Research Contributions

The research contributions associated with Sm Nuruzzaman Nobel are aligned with contemporary developments in Artificial Intelligence and computational research. His scholarly output demonstrates engagement with analytical methodologies, predictive modeling, intelligent systems, and data-centric problem-solving approaches. Such contributions support both theoretical understanding and practical implementation of AI-driven technologies across diverse application areas.[3]

Publications

The publication record associated with the researcher reflects sustained academic productivity and participation in scholarly communication. Publications indexed within international citation databases contribute to the dissemination of research findings and facilitate scientific dialogue among researchers worldwide.[1]

Research Impact

Research impact may be evaluated through publication performance, citation indicators, scholarly visibility, and influence on subsequent investigations. With 634 citations and an h-index of 17, the available metrics indicate that the research outputs associated with Sm Nuruzzaman Nobel have received measurable academic attention and have contributed to ongoing scientific discussions within relevant fields.[1]

Award Suitability

The Best Researcher Award recognizes individuals demonstrating scholarly productivity, research quality, and measurable academic influence. Based on publicly available research indicators, institutional affiliation, publication record, and citation performance, Sm Nuruzzaman Nobel represents a candidate whose academic profile aligns with the objectives commonly associated with international research recognition programs, including The Scientist Global Awards.[1][4]

Conclusion

Sm Nuruzzaman Nobel maintains an established academic profile within Artificial Intelligence through research publications, citation impact, and scholarly engagement. His contributions illustrate participation in the advancement of intelligent computational research and support continued scientific development in related disciplines. The available evidence indicates a record of academic activity consistent with professional recognition in international research award programs.[1]

References

  1. Elsevier. (2026). Scopus author details: Sm Nuruzzaman Nobel, Author ID 58243910800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58243910800
  2. SM Nuruzzaman Nobel; S M Masfequier Rahman Swapno (2025). CRT: A Convolutional Recurrent Transformer for Automatic Sleep State Detection.
    https://doi.org/10.1109/jbhi.2025.3543028
  3. Scientific Reports. (2024). A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method.
    https://doi.org/10.1038/s41598-024-64987-5
  4. The Scientist Global Awards. (2026). Official Award Information.
    https://thescientists.net/

Nurhadhinah Nadiah Ridzuan | Artificial Intelligence | Research Excellence Award

Ms. Nurhadhinah Nadiah Ridzuan | Artificial Intelligence | Research Excellence Award

Student | Universiti Brunei Darussalam | Brunei Darrussalam

Ms. Nurhadhinah Nadiah Ridzuan is a researcher at Universiti Brunei Darussalam specializing in artificial intelligence applications in the financial sector, with a strong focus on regulation, ethics, and governance. Her research examines the balance between technological innovation and responsible financial practices, particularly in FinTech ecosystems and regulatory sandboxes. She has authored multiple peer-reviewed publications, accumulating 141 citations, with an h-index of 3 and an i10-index of 2. Her highly cited 2024 work on AI, regulation, and ethical responsibility reflects significant scholarly impact. Ridzuan actively collaborates with international researchers across finance, digital governance, and Industry 4.0 studies. Her work contributes to policy-relevant insights that support ethical AI adoption, inclusive financial systems, and sustainable digital transformation in emerging and global financial markets.

Citation Metrics (Google Scholar)

141
100
50
0

Citations

141

h-index

3

i10-index

2

Citations

h-index

i10-index

View Google Scholar Profile
View Scopus Profile View ResearchGate Profile

Featured Publications


Modelling Individual Performance in Industry 4.0 with Artificial Intelligence and Organisational Strategies in the Financial Sector

– In Multi-Industry Digitalization and Technological Governance in the AI Era (2025). | Citations: 2


Exploratory Study of the FinTech Regulative Sandbox: Opportunities and Challenges

– In Promoting Inclusivity and Accessibility with FinTech (2026).

Ahmed Hamza Osman Ahmed | Data Science | Best Researcher Award

Prof. Dr. Ahmed Hamza Osman Ahmed | Data Science | Best Researcher Award

Professor of Computer Science | King Abdulaziz University | Saudi Arabia

Prof. Dr. Ahmed Hamza Osman Ahmed is a distinguished computer scientist and cybersecurity expert whose research bridges artificial intelligence, information security, and data privacy. With over 70 peer-reviewed publications in prestigious journals such as IEEE, Elsevier, and Springer, his scholarly impact is evidenced by 709 citations across 658 documents and an h-index of 14, underscoring his significant contributions to the field. His research encompasses AI-driven cybersecurity systems, intrusion detection, digital forensics, and blockchain-based data integrity, with several funded projects advancing intelligent threat prediction and misinformation detection. Prof. Ahmed has played a pivotal role in developing ABET-aligned curricula, integrating machine learning into cybersecurity education, and supervising more than 25 postgraduate theses in cybersecurity and data science. Internationally recognized for academic excellence, he has received awards such as the Gold Medal at PECIPTA 2011 and Best Postgraduate Student at Universiti Teknologi Malaysia. His extensive collaborations across Saudi Arabia, Malaysia, and Sudan reflect his commitment to fostering global research partnerships and advancing secure, AI-empowered digital ecosystems. Through his leadership in teaching, research, and academic service, Prof. Ahmed continues to contribute to shaping the future of cybersecurity and artificial intelligence with profound educational and societal impact.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Elssied, N. O. F., Ibrahim, O., & Osman, A. H. (2014). A novel feature selection based on one-way ANOVA F-test for e-mail spam classification. Research Journal of Applied Sciences, Engineering and Technology, 7(3), 625–638. Citations: 223

  2. Elhadi, A. A. E., Maarof, M. A., & Osman, A. H. (2012). Malware detection based on hybrid signature behaviour application programming interface call graph. American Journal of Applied Sciences, 9(3), 283–293. Citations: 137

  3. Osman, A. H., Salim, N., Binwahlan, M. S., Alteeb, R., & Abuobieda, A. (2012). An improved plagiarism detection scheme based on semantic role labeling. Applied Soft Computing, 12(5), 1493–1502. Citations: 128

  4. Osman, A. H., & Aljahdali, H. M. (2020). An effective ensemble boosting learning method for breast cancer virtual screening using neural network model. IEEE Access. https://doi.org/10.1109/ACCESS.2020.2976149 Citations: 93

  5. Abuobieda, A., Salim, N., Albaham, A. T., Osman, A. H., & Kumar, Y. J. (2012). Text summarization features selection method using pseudo genetic-based model. In Proceedings of the 2012 International Conference on Information Retrieval & Knowledge Management (pp. 84–89). Citations: 84