Sona Charles | Bioinformatics and Computational Biology | Young Scientist Award

Published on by Young Scientists Awards

Young Scientist Award

Sona Charles
ICAR–Indian Institute of Spices Research, India

Sona Charles
Affiliation ICAR–Indian Institute of Spices Research
Country India
Scopus ID 58175373800 
Documents 29
Citations 243
h-index 8
Subject Area Bioinformatics and Computational Biology
Event International Young Scientist Award
ORCID 0000-0002-6781-7440

The Young Scientist Award recognizes emerging researchers whose scientific work demonstrates research engagement, originality, and potential contribution to their disciplines. This profile presents the supplied academic information about Sona Charles and outlines its relevance to consideration for the International Young Scientist Award. Research metrics should be verified against current author profiles before publication.

1. Abstract

Sona Charles is associated with ICAR–Indian Institute of Spices Research in India. The supplied profile reports 29 documents, 243 citations, and an h-index of 8. These indicators provide a preliminary overview of publication activity and citation impact in the stated subject area. They should be interpreted alongside verified publications, research quality, and individual contributions. [1]

2. Keywords

Young Scientist Award, Sona Charles, bioinformatics, computational biology, agricultural research, spices research, scientific publications, research impact, India.

3. Introduction

Young scientist awards acknowledge promising researchers and encourage continued scientific development. Assessment commonly considers originality, methodological quality, publication record, collaboration, and the potential value of research outcomes. Eligibility and selection criteria depend on the awarding organization.

4. Research Profile

The supplied information identifies bioinformatics and computational biology as the research subject area. These disciplines use computational methods to analyze biological data and support scientific investigation. Specific research projects and responsibilities require confirmation through institutional and publication records.

5. Research Contributions

A comprehensive assessment should examine documented research findings, analytical methods, collaborative work, and contributions to relevant scientific questions. Individual achievements should be described using verified publications and evidence rather than inferred solely from bibliometric indicators.

6. Publications

The provided profile lists 29 documents. Individual titles, journal details, publication dates, and digital object identifiers (DOIs) should be retrieved from verified bibliographic records before specific publications are highlighted.

7. Research Impact

The reported 243 citations and h-index of 8 offer quantitative indicators of scholarly visibility. Citation counts vary across databases and change over time; they do not independently establish research quality or practical impact. [1]

8. Award Suitability

Potential suitability for the International Young Scientist Award should be assessed against official eligibility requirements and documented evidence of originality, research independence, publication quality, and scientific contribution. The supplied metrics alone do not establish nomination, selection, or receipt of the award.

9. Conclusion

The available information provides a starting point for presenting Sona Charles’s research profile. Verification of author identifiers, publication records, current metrics, and award criteria is recommended to maintain accuracy and scholarly neutrality.

11. References

  1. Elsevier. (n.d.). Scopus author details: Sona Charles. Scopus. Author identifiers and reported bibliometric figures should be checked against the current profile.
    https://www.scopus.com/authid/detail.uri?authorId=58175373800
  2. ORCID. (n.d.). ORCID record.
    https://orcid.org/0000-0002-6781-7440
  3. Google Scholar. (n.d.). Author citation profile.
    https://scholar.google.com/citations?user=nV4s5KcAAAAJ&hl=en&oi=ao

Mehdi Saadallah | Computer Science | Best Researcher Award

Published on by Young Scientists Awards

Mr. Mehdi Saadallah | Computer Science
| Best Researcher Award

Vrije Universiteit Amsterdam | Netherlands

Mr. Mehdi Saadallah research focuses on advancing the integration of artificial intelligence (AI) and automation in cybersecurity operations, emphasizing the intersection between technology, human behavior, and organizational structures. It investigates how AI-driven tools influence professional identity, decision-making, and collaboration within Security Operations Centers (SOCs), where analysts and algorithms coexist in dynamic threat environments. By applying frameworks such as Paradox Theory, Organizational Routine Theory, and Identity Work Theory, the work uncovers the tensions, adaptations, and emergent practices that arise when automation transforms traditional cybersecurity routines. Empirical insights are drawn from multinational enterprises across diverse sectors, revealing how organizations balance efficiency, control, and trust in AI-augmented defense systems. The research also develops conceptual and operational models for AI-assisted vulnerability management and SOC modernization, providing a blueprint for improving detection, response, and resilience in complex digital ecosystems. Beyond theory, it delivers applied innovations that enhance cybersecurity governance, human–AI trust calibration, and automation ethics. Through interdisciplinary methods combining qualitative inquiry, computational analysis, and organizational modeling, the work contributes to redefining cybersecurity as a socio-technical discipline—bridging academic rigor and industrial application to guide the future of intelligent, adaptive, and human-centered cyber defense frameworks.

Featured Publications

Saadallah, M. (2025). Harmonizing paradoxical tensions in SOCs: A strategic model for integrating AI, automation, and human expertise in cyber defense and incident response. In Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS-58). https://doi.org/10.24251/HICSS.2025.723

Saadallah, M., Shahim, A., & Khapova, S. (2025). Reconciling tensions in Security Operations Centers: A Paradox Theory approach. Big Data and Cognitive Computing, 9(11), 278. https://doi.org/10.3390/bdcc9110278

Saadallah, M., Shahim, A., & Khapova, S. (2025). Optimizing AI and human expertise integration in cybersecurity: Enhancing operational efficiency and collaborative decision-making. PriMera Scientific Engineering, 6(1), 177. https://doi.org/10.56831/psen-06-177

Saadallah, M., Shahim, A., & Khapova, S. (2024). Multi-method approach to human expertise, automation, and artificial intelligence for vulnerability management. In Advances in Intelligent Systems and Computing (pp. xxx–xxx). Springer. https://doi.org/10.1007/978-3-031-65175-5_29

 Saadallah, M., Shahim, A., & Khapova, S. (2024). Synergizing human expertise, automation, and artificial intelligence for vulnerability management. PriMera Scientific Engineering, 5(10), 160. https://doi.org/10.56831/psen-05-160