Nafeesa Shahid | Artificial Intelligence | Cancer Research Excellence Award

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/

Wael Badawy | Artificial Intelligence | Innovative Research Award

Innovative Research Award

Wael Wael is a researcher affiliated with Egyptian Russian University, whose research profile is associated with the field of Artificial Intelligence. According to the supplied bibliometric profile information, the researcher has a Scopus author identifier of 57225760311, with 265 documents, 2,346 citations, and an h-index of 21. These indicators provide a bibliometric context for evaluating research activity and scholarly visibility. [1]

Wael Badawy
Affiliation Egyptian Russian University
Country Egypt
Scopus ID 57225760311
Documents 265
Citations 2,346
h-index 21
Subject Area Artificial Intelligence
Event The Scientist Global Awards
ORCID 0000-0003-0251-9124

Abstract

This article presents an academic recognition profile for Wael Wael of Egyptian Russian University in the field of Artificial Intelligence. The profile summarizes the supplied bibliometric indicators, institutional affiliation, researcher identifiers, publication activity, citation performance, and relevance to The Scientist Global Awards. The reported indicators are presented as contextual measures of scholarly activity rather than as independent measures of research quality. Bibliometric indicators such as citation counts and h-index values can assist in assessing research visibility, although their interpretation depends on disciplinary, temporal, and database-specific factors. [1]

Keywords

Artificial Intelligence; academic research; bibliometrics; scholarly publications; citation impact; h-index; research recognition; Egyptian Russian University; Scopus; The Scientist Global Awards.

Introduction

Artificial Intelligence encompasses research concerned with computational systems capable of performing tasks that traditionally require aspects of human intelligence, including learning, reasoning, perception, and decision-making. Contemporary AI research includes a broad range of methods and applications, making scholarly evaluation dependent on both quantitative indicators and qualitative assessment of individual contributions. [2]

Research Profile

Wael Wael is identified in the supplied information as a researcher affiliated with Egyptian Russian University in Egypt and working within the subject area of Artificial Intelligence. The supplied Scopus author identifier is 57225760311, while the supplied ORCID identifier is 0000-0003-0251-9124. Persistent researcher identifiers such as ORCID are designed to distinguish researchers and help connect scholarly contributions across systems. [3]

Research Contributions

For purposes of academic recognition, the reported document count provides an indication of publication activity, while citation counts offer a measure of how frequently indexed scholarly works have been referenced by subsequent publications. The h-index provides an additional indicator combining productivity and citation frequency, although it does not capture every dimension of research quality or innovation. [4]

Publications

The supplied Scopus profile reports 265 documents associated with the researcher. This figure is presented as the publication-document count supplied for this article and should be checked against the current Scopus author record when used for formal nomination or institutional verification. [1]

Research Impact

The supplied profile reports 2,346 citations and an h-index of 21. Citation activity can provide evidence of scholarly visibility, particularly when considered over an appropriate publication period and within the context of the relevant discipline. However, citation counts may be influenced by field-specific citation practices, publication age, collaboration patterns, database coverage, and other factors. [4]

Award Suitability

From a documentation perspective, the combination of an identifiable Scopus author profile, ORCID record, institutional affiliation, and reported bibliometric indicators provides a structured foundation for academic profile verification. These materials can be supplemented with publication records, DOI metadata, institutional information, and other independently verifiable evidence where required by the award process. [1] [3]

Conclusion

Wael Wael is presented in the supplied information as an Artificial Intelligence researcher affiliated with Egyptian Russian University in Egypt. The profile reports 265 documents, 2,346 citations, and an h-index of 21, together with Scopus and ORCID identifiers that can support researcher disambiguation and verification. [1] [3]

References

  1. Elsevier. (2026). Scopus author details: Wael Wael, Author ID 57225760311. Scopus.
    https://www.scopus.com/pages/authors/57225760311
  2. AI and Ethics. (2026). Criminal confrontation of cryptocurrency and artificial intelligence crimes: an analytical study in Egyptian and comparative legislation.
    https://doi.org/10.1007/s43681-026-01258-1
  3. ORCID. (2026). ORCID record for Wael Wael.
    https://orcid.org/0000-0003-0251-9124
  4. Neural Computing and Applications (2026). A Comparative evaluation of deep learning-based capillaroscopy image analysis using YOLOv8–YOLOv12 models for microvascular diagnostics
    https://doi.org/10.1007/s00521-026-11847-0
  5. Multimedia Tools and Applications. (2026). Hierarchical adaptive structured mesh for video codec: a structured and systematic survey of geometry-aware motion modeling and hybrid neural extensions
    https://doi.org/10.1007/s11042-026-21556-4
  6. The Scientist Global Awards. (n.d.). Official award website.
    https://thescientists.net/