Best Researcher Award
Shiva Irani
Islamic Azad University
Shiva Irani is a researcher affiliated with Islamic Azad University, Iran, whose academic profile includes contributions to scientific research and scholarly publications. With 216 indexed documents, 3,902 citations, and an h-index of 32, the reported bibliometric indicators provide a quantitative overview of the researcher’s publication and citation record. The research subject area highlighted for this recognition is AI in Personalized Medicine, a developing field that explores the application of artificial intelligence to individualized healthcare and data-driven clinical decision-making. The Best Researcher Award recognizes this academic profile through the Computational Biologists Awards.[1]
Abstract
Shiva Irani, affiliated with Islamic Azad University in Iran, is recognized in connection with the Best Researcher Award presented through the Computational Biologists Awards. The research profile highlights scholarly activity in AI in Personalized Medicine, an interdisciplinary area integrating artificial intelligence, computational methods, and healthcare research. The reported Scopus profile records 216 documents, 3,902 citations, and an h-index of 32. These indicators offer a quantitative perspective on publication activity and citation influence. This article outlines the researcher’s academic profile, subject area, scholarly contributions, and relevance to contemporary computational biology and personalized healthcare research.[2]
Keywords
Shiva Irani; Best Researcher Award; Computational Biologists Awards; Islamic Azad University; Iran; AI in Personalized Medicine; Artificial Intelligence; Personalized Healthcare; Computational Biology; Medical Informatics; Research Impact; Scientific Publications; Bibliometric Analysis.[1]
Introduction
Artificial intelligence is increasingly influencing biomedical research by supporting the analysis of complex datasets, identifying patterns, and developing computational approaches for healthcare applications. Personalized medicine uses individual-level biological and clinical information to support more tailored healthcare strategies. Researchers working in this area contribute to the development and assessment of computational methods that may improve scientific understanding and clinical research. Shiva Irani’s profile is presented in this interdisciplinary context, with AI in Personalized Medicine identified as the relevant subject area. [1]
Research Profile
Shiva Irani is affiliated with Islamic Azad University in Iran. The researcher’s Scopus author profile is associated with the identifier 23097860400, providing a reference point for examining indexed scholarly publications and citation information. The supplied bibliometric record includes 216 documents, 3,902 citations, and an h-index of 32. These indicators can help describe publication activity and citation performance, although they should be interpreted alongside research quality, authorship contributions, and subject-specific publication practices. [1]
Research Contributions
AI in Personalized Medicine combines computational intelligence with biomedical and clinical information to investigate approaches for individualized healthcare. Research in this domain can involve predictive modeling, machine learning, clinical data analysis, and computational interpretation of patient characteristics. Such methods require careful validation, reliable datasets, and attention to transparency and reproducibility. Irani’s identified subject area connects the research profile with these broader scientific developments. Specific project-level contributions should be assessed through the researcher’s individual publications and verified institutional records. [2]
Publications
Scholarly publications provide an important record of research activity, methodological development, and scientific communication. The supplied Scopus profile reports 216 indexed documents associated with Shiva Irani. These publications constitute the documented basis for examining the researcher’s academic output, subject interests, and collaborative activity. Individual article titles, publication dates, journal details, and digital object identifiers should be retrieved directly from the author profile before being presented as specific publication records. [1]
Research Impact
The reported citation count of 3,902 and h-index of 32 offer quantitative indicators of the scholarly attention associated with the researcher’s indexed work. Citation measures can help identify the visibility and subsequent use of published research within academic literature. However, citation patterns vary across disciplines, publication periods, and research communities. A comprehensive assessment should therefore consider the relevance, originality, reproducibility, and practical significance of individual contributions alongside bibliometric indicators. [3]
Award Suitability
The Best Researcher Award under the Computational Biologists Awards provides a recognition framework for academic research and scholarly contributions. Shiva Irani’s reported publication record, citation indicators, institutional affiliation, and identified subject area offer relevant information for consideration within this framework. AI in Personalized Medicine is closely connected to computational approaches in contemporary biomedical research. A complete award assessment should additionally consider original research contributions, publication quality, methodological rigor, research integrity, and relevance to the award’s evaluation criteria. [4]
Conclusion
Shiva Irani’s academic profile presents a record of scholarly publication activity associated with Islamic Azad University, Iran. The reported Scopus indicators of 216 documents, 3,902 citations, and an h-index of 32 provide a quantitative overview of the researcher’s indexed academic output. The identified focus on AI in Personalized Medicine reflects an important interdisciplinary area connecting computational techniques with biomedical research. The Best Researcher Award recognition through the Computational Biologists Awards highlights this academic profile and its relevance to the broader research community.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Shiva Irani, Author ID 23097860400.
https://www.scopus.com/authid/detail.uri?authorId=23097860400
- Journal article. (2016). Docetaxel–Chitosan nanoparticles for breast cancer treatment: cell viability and gene expression study.
https://doi.org/10.1111/cbdd.12814
- Journal article. (2016). The correlation between miR-146a C/G polymorphism and UHRF1 gene expression level in gastric tumor
https://doi.org/10.1111/1751-2980.12329
- Computational Biologists Awards. (2026.). Official award website.
https://computationalbiologists.com/
- ORCID. (n.d.). Shiva Irani: ORCID researcher identifier 0000-0002-4202-9931. ORCID.
https://orcid.org/0000-0002-4202-9931