Sm Nuruzzaman Nobel | Artificial Intelligence | Best Researcher Award

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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/

Ali Razban | Artificial Intelligence | Best Researcher Award

Posted on by The Scientist

Best Researcher Award

Ali Razban — Purdue University

Ali Razban
Affiliation Purdue University
Country United States
Scopus ID 57202511592
Documents 41
Citations 912
h-index 15
Subject Area Artificial Intelligence
Event The Scientist Global Awards
ORCID 0000-0002-7794-5761

The Best Researcher Award recognizes distinguished scholarly achievement, research productivity, and measurable scientific impact within a specialized academic field. Ali Razban of Purdue University has established a notable research profile in Artificial Intelligence through scholarly publications, interdisciplinary collaborations, and contributions to data-driven computational methodologies. His research output, citation performance, and academic influence provide objective indicators frequently considered in international research recognition programs.[1][2]

Abstract

This academic recognition article presents a scholarly overview of Ali Razban and evaluates his research achievements in Artificial Intelligence. The article summarizes bibliometric indicators, research productivity, publication record, scientific influence, and relevance to international research awards. The assessment follows a neutral academic framework emphasizing measurable scholarly contributions and documented research impact.[1]

Keywords

Artificial Intelligence, Machine Learning, Computational Intelligence, Data Science, Predictive Analytics, Research Excellence, Scientific Impact, Academic Recognition, Citation Analysis, Best Researcher Award.

Introduction

The growing influence of Artificial Intelligence across scientific, industrial, and societal domains has increased the significance of researchers who contribute innovative methodologies and evidence-based solutions. Academic awards provide structured mechanisms for recognizing researchers whose scholarly activities advance knowledge and generate measurable impact. Ali Razban’s research portfolio reflects sustained engagement with computational technologies and interdisciplinary applications within Artificial Intelligence and related analytical disciplines.[1][3]

Research Profile

Ali Razban is affiliated with Purdue University and has developed a scholarly profile characterized by peer-reviewed research publications, interdisciplinary investigations, and contributions to Artificial Intelligence. According to available bibliometric indicators, his publication record includes 41 indexed documents, supported by 912 citations and an h-index of 15. These indicators reflect both research productivity and sustained scholarly influence within his field.[1]

Research Contributions

The research activities of Ali Razban demonstrate engagement with Artificial Intelligence methodologies that support predictive modeling, intelligent decision-making systems, data analytics, and computational problem-solving. His scholarly work contributes to the broader advancement of AI-driven approaches that facilitate improved efficiency, accuracy, and scalability across diverse application environments.[3]

Publications

The publication portfolio of Ali Razban includes peer-reviewed journal articles, conference proceedings, and collaborative research outputs. Such publications contribute to scientific communication and facilitate dissemination of Artificial Intelligence knowledge across academic and professional communities.[1]

Research Impact

Research impact is frequently measured through bibliometric indicators, citation performance, publication visibility, and evidence of scholarly adoption. With 912 citations and an h-index of 15, Ali Razban demonstrates measurable scientific influence that extends beyond publication counts alone. Citation activity suggests that his research outputs have contributed to ongoing academic discussions and subsequent investigations within related areas of Artificial Intelligence.[1]

Award Suitability

The Best Researcher Award recognizes excellence in scientific achievement, scholarly productivity, innovation, and research influence. Based on available bibliometric indicators and documented academic output, Ali Razban demonstrates several attributes frequently associated with research distinction, including an established publication record, notable citation performance, interdisciplinary engagement, and contributions to Artificial Intelligence research.[1][2]

Conclusion

Ali Razban has established a recognized academic profile within the field of Artificial Intelligence through scholarly publications, measurable citation impact, and sustained research activity. His research metrics and documented contributions provide evidence of academic engagement and influence that align with commonly accepted indicators of research excellence. The profile presented in this article supports consideration for recognition within international scientific award frameworks.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Ali Razban, Author ID 57202511592. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57202511592
  2. The Scientist Global Awards. (n.d.). International research recognition and academic excellence awards.
    https://thescientists.net/
  3. Journal of Building Engineering. (2025). A review of occupancy detection techniques for HVAC control: Advances and practical challenges.
    https://doi.org/10.1016/j.jobe.2025.113962

Yinfeng Yang | Artificial Intelligence | Research Excellence Award

Posted on by The Scientist

Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence | Research Excellence Award

Deputy Director | School of Medical Informatics Engineering, Anhui University of Chinese Medicine | China

Dr. Yinfeng Yang is a distinguished researcher at Anhui University of Chinese Medicine, known for impactful contributions at the interface of traditional Chinese medicine, molecular pharmacology, and bioinformatics-driven disease mechanism analysis. His academic influence is demonstrated by 5,738 citations, 45 publications, and an h-index of 18, underscoring his growing global recognition in biomedical research. Dr. Yang’s work spans cancer biology, immunometabolism, and natural-product-based therapeutics, with recent studies exploring the clinicopathological relevance of BRCA1 in gastric cancer, mitochondrial pathways in rheumatoid arthritis, and angiogenesis-targeting mechanisms of Ginkgo biloba leaves. His research integrates advanced computational tools, systems pharmacology, and machine learning to decode complex biological networks and accelerate drug discovery particularly in ADMET prediction and precision therapeutic strategies. With more than 120 co-authors and interdisciplinary collaborations across oncology, pharmacology, and traditional medicine, Dr. Yang has built a broad scientific network that strengthens the translational potential of his findings. His publications in high-impact journals and open-access platforms contribute to global knowledge accessibility while supporting evidence-based modernization of traditional Chinese medicine. Dr. Yang’s work carries clear societal relevance, offering novel insights for developing safer, more effective treatments for chronic inflammatory diseases and gastrointestinal cancers. His sustained research output and increasing citation impact position him as a valuable contributor to global biomedical innovation and integrative medicine research.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Ru, J., Li, P., Wang, J., Zhou, W., Li, B., Huang, C., Li, P., Guo, Z., Tao, W., Yang, Y., … (2014). TCMSP: A database of systems pharmacology for drug discovery from herbal medicines. Journal of Cheminformatics, 6(1), 13. Cited by: 5,020

  2. Qian, S., Wei, Z., Yang, W., Huang, J., Yang, Y., & Wang, J. (2022). The role of BCL-2 family proteins in regulating apoptosis and cancer therapy. Frontiers in Oncology, 12, 985363. Cited by: 876

  3. Yang, Y., Li, Y., Wang, J., Sun, K., Tao, W., Wang, Z., Xiao, W., Pan, Y., Zhang, S., … (2017). Systematic investigation of Ginkgo biloba leaves for treating cardio-cerebrovascular diseases in an animal model. ACS Chemical Biology, 12(5), 1363–1372. Cited by: 99

  4. Li, Y., Gao, W., Li, F., Wang, J., Zhang, J., Yang, Y., Zhang, S., & Yang, L. (2013). An in silico exploration of the interaction mechanism of pyrazolo[1,5-a]pyrimidine-type CDK2 inhibitors. Molecular BioSystems, 9(9), 2266–2281. Cited by: 53

  5. Li, Y., Wang, J., Xiao, Y., Wang, Y., Chen, S., Yang, Y., Lu, A., & Zhang, S. (2015). A systems pharmacology approach to investigate the mechanisms of action of Semen Strychni and Tripterygium wilfordii Hook F for treatment of rheumatoid arthritis. Journal of Ethnopharmacology, 175, 301–314. Cited by: 51