Nafeesa Shahid | Artificial Intelligence | Cancer Research Excellence Award

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Cancer Research Excellence Award

Nafeesa Shahid — Queensland University of Technology, Australia

Nafeesa Shahid
Affiliation Queensland University of Technology
Country Australia
Google Scholar ID UsSNpJcAAAAJ
Documents 3
Citations 49
h-index 1
Subject Area Artificial Intelligence
Event The Scientist Global Awards

Nafeesa Shahid is affiliated with Queensland University of Technology in Australia and is associated with research in the subject area of Artificial Intelligence. The supplied academic profile records 3 documents, 49 citations, and an h-index of 1. [1]

Abstract

The Cancer Research Excellence Award profile presented here documents the academic information supplied for Nafeesa Shahid, affiliated with Queensland University of Technology, Australia. The stated subject area is Artificial Intelligence, with the supplied profile recording 3 documents, 49 citations, and an h-index of 1. [1]

Keywords

Artificial Intelligence, Cancer Research, Computational Research, Research Excellence, Scholarly Impact, Academic Recognition

Introduction

Artificial intelligence has become an important methodological area across biomedical and cancer-related research. Computational techniques can support the analysis of complex datasets, pattern recognition, prediction, classification, and other research tasks. The intersection of artificial intelligence and cancer research is consequently multidisciplinary, involving computational methods, biomedical information, statistical approaches, and domain-specific validation. [1]

Research Profile

Nafeesa Shahid is a researcher affiliated with Queensland University of Technology, Australia, with a research focus in Artificial Intelligence. Her academic profile records 3 documents, 49 citations, and an h-index of 1. [1]

Research Contributions

The supplied profile places Shahid’s academic work within Artificial Intelligence. In a cancer research context, artificial intelligence can encompass computational techniques for processing biomedical information, identifying patterns within complex datasets, supporting classification or prediction tasks, and developing analytical approaches for research applications. [1]

Publications

The supplied profile records 3 documents associated with the Google Scholar profile identified as UsSNpJcAAAAJ. Because publication titles, journal details, publication years, and individual DOI identifiers were not included in the supplied input data, no unsupported publication-specific bibliographic information is added here. The linked Google Scholar profile provides access to the listed scholarly works. [1]

Research Impact

The supplied Google Scholar information reports 49 citations and an h-index of 1. Citation counts and h-index values are bibliometric indicators that provide quantitative information about the visibility of scholarly publications, but they do not independently establish research quality, methodological validity, originality, or societal significance. [1]

Award Suitability

The Cancer Research Excellence Award is associated with The Scientist Global Awards according to the supplied information. Shahid’s institutional affiliation, stated subject area, publication record, citation count, and h-index provide identifiable elements of an academic profile that can be considered within an award nomination or recognition process. [1]

Conclusion

Nafeesa Shahid’s supplied academic profile identifies Queensland University of Technology in Australia as the institutional affiliation and Artificial Intelligence as the subject area. The profile records 3 documents, 49 citations, and an h-index of 1. [1]

References

  1. Google Scholar: Nafeesa Shahid, Author Profile and Publication Record. Profile Identifier: UsSNpJcAAAAJ. Accessible via Google Scholar.
    https://scholar.google.com/citations?view_op=list_works&hl=en&user=UsSNpJcAAAAJ
  2. The Scientist Global Awards. Official award website.
    https://thescientists.net/

Hamideh Rabiei | Artificial Intelligence | Research Excellence Award

Posted on by The Scientist

Research Excellence Award

Hamideh Rabiei
Iran University of Science and Technology

Hamideh Rabiei
Affiliation Iran University of Science and Technology
Country Iraq
Scopus ID 59412709500
Documents 1
Citations 1
h-index 1
Subject Area Artificial Intelligence
Event The Scientist Global Awards

The Research Excellence Award article presents an overview of the scholarly profile of Hamideh Rabiei, affiliated with the Iran University of Science and Technology. The profile highlights academic activities, publication record, research interests, and citation indicators available through internationally recognized scholarly databases. The information is presented in a neutral encyclopedic format intended for academic recognition and research documentation.[1]

Abstract

This article summarizes the academic profile of Hamideh Rabiei with emphasis on research activities in Artificial Intelligence. The available bibliometric indicators, publication record, citation data, and institutional affiliation provide a concise overview of scholarly contributions documented through Scopus. Such indicators are commonly employed to evaluate research visibility and academic engagement within international scientific communities.[1]

Keywords

Artificial Intelligence, Research Excellence, Scholarly Profile, Academic Recognition, Scopus Author, Machine Learning, Intelligent Systems, Research Evaluation, Scientific Publications, Citation Analysis.

Introduction

Academic recognition articles provide an organized overview of a researcher’s scholarly achievements using publicly available bibliometric information and institutional affiliations. They facilitate transparency, encourage research visibility, and support evaluation processes conducted by academic organizations, funding agencies, and international award committees.[2]

Research Profile

Hamideh Rabiei is affiliated with the Iran University of Science and Technology and has research interests associated with Artificial Intelligence. According to the available Scopus author profile, the researcher has one indexed document with one citation and an h-index of one. Although the currently indexed publication record is modest, it provides an initial scholarly footprint within the international research ecosystem.[1]

Research Contributions

Research activities in Artificial Intelligence. Participation in scholarly publication indexed by Scopus. Contribution to academic research through peer-reviewed scientific communication. Support for ongoing development within intelligent computing and related technologies.

Publications

The available Scopus profile indicates one indexed scholarly publication. Publication records represent important evidence of scientific dissemination, peer review, and contribution to the advancement of knowledge within a specialized research field.[1]

Research Impact

Bibliometric indicators, including publication count, citations, and h-index, provide standardized measures for evaluating scholarly visibility. While quantitative indicators alone do not fully capture research quality, they complement peer assessment and institutional evaluation when reviewing academic achievements.[3]

Award Suitability

Based on the documented academic profile, Hamideh Rabiei demonstrates participation in scholarly research within Artificial Intelligence. The available publication and citation metrics provide verifiable evidence of academic engagement. Such documented research activities align with evaluation criteria commonly considered during academic recognition programs that emphasize transparency, scholarly contribution, and research dissemination.[2]

Conclusion

This academic profile presents a concise overview of Hamideh Rabiei’s documented scholarly record using publicly available bibliometric information. Continued research output, publication activity, and scientific collaboration may further strengthen academic visibility and contribute to future recognition within the international research community.[1]

References

  1. Elsevier. (2026). Scopus author details: Hamideh Rabiei, Author ID 59412709500. Scopus.
    https://www.scopus.com/pages/authors/59412709500
  2. The Scientist Global Awards. (2026). Research Excellence Award Evaluation Framework.
    https://thescientists.net/
  3. Optimizing labor efficiency in construction projects using a multi-objective intelligent hybrid model for project objectives and stakeholder’s goals.
    https://doi.org/10.1108/ECAM-09-2024-1266

Sm Nuruzzaman Nobel | Artificial Intelligence | Best Researcher Award

Posted on by The Scientist

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

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