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/

Yinfeng Yang | Artificial Intelligence | Research Excellence Award

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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

Saifullah Khalid | Artificial Intelligence | Innovative Research Award

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Dr. Saifullah Khalid | Artificial Intelligence | Innovative Research Award

Principal Scientist | IBMM RESEARCH | Sudan

Dr. Saifullah Khalid is a distinguished aviation and aerospace researcher renowned for his groundbreaking work in AI-driven aviation systems, air traffic management optimization, and unmanned aerial systems. With dual PhDs in engineering and a career spanning advanced aeronautical research, he serves as Principal Scientist at IBMM Research, Sudan. His academic background includes a PhD in Electronics and Communication Engineering from SN University, India (2013). Dr. Khalid’s expertise encompasses autonomous UAV systems, quantum-inspired optimization algorithms, sustainable aviation power systems, and digital tower operations. He has authored over 270 publications, including 38 Web of Science-indexed papers, and holds an impressive portfolio of 85 patents—50 as sole inventor—setting two world records for patent achievements. His professional experience extends to teaching and mentoring, supervising PhD candidates in AI-based air route optimization and guiding over 200 engineering projects. A committed academic leader, he has developed ICAO-compliant curricula and serves as Vice Chairman of the Academic Council Asia at NextGen University International. His awards include world records for patent excellence and international recognition for research innovation. His technical skills span MATLAB/Simulink, Python, UAV system design, and AI applications in aviation. 305 Citations; 67 Documents; h-index: 10

Profiles: Google scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Khalid, S., & Dwivedi, B. (2011). Power quality issues, problems, standards & their effects in industry with corrective means. International Journal of Advances in Engineering & Technology, 1(2), 1–11. Citations: 167

  2. Nishad, D. K., Tiwari, A. N., Khalid, S., Gupta, S., & Shukla, A. (2024). AI-based UPQC control technique for power quality optimization of railway transportation systems. Scientific Reports, 14(1), 17935. Citations: 31

  3. Khalid, S. (2018). Performance evaluation of Adaptive Tabu Search and Genetic Algorithm optimized shunt active power filter using neural network control for aircraft power utility of 400 Hz. Journal of Electrical Systems and Information Technology, 5(3), 723–734. Citations: 30

  4. Khalid, S., Dwivedi, B., Kumar, N., & Agrawal, N. (2007). A review of state-of-art techniques in active power filters and reactive power compensation. National Journal of Technology, 3(1), 10–18. Citations: 26

  5. Khalid, S., & Dwivedi, B. (2010). Power quality: An important aspect. International Journal of Engineering Science and Technology, 2(11), 6485–6490. Citations: 25