Vandana kumari | AI in Engineering | Innovative Research Award

Innovative Research Award

Research Profile
Affiliation Bauhaus University
Country Germany
Scopus ID 57218095932
Documents 6
Citations 358
h-index 6
Subject Area AI in Engineering
Event Superior Engineering Research Awards
ORCID 0000-0001-9668-589X

Vandana Kumari

Bauhaus University, Germany

The Vandana Kumari, affiliated with Bauhaus University, has established a documented research profile in Artificial Intelligence in Engineering, supported by indexed publications, scholarly citations, and internationally recognized researcher identifiers. The research portfolio demonstrates sustained academic engagement and measurable scientific impact consistent with contemporary standards for research assessment.[1]

Abstract

This article presents an academic overview of Vandana Kumari in the context of the Innovative Research Award. The assessment summarizes institutional affiliation, indexed scholarly output, citation performance, and research specialization within Artificial Intelligence in Engineering. Research evaluation integrates recognized scholarly indicators including publication count, citation metrics, and persistent researcher identifiers that facilitate transparency and international discoverability.[1][2]

Keywords

Innovative Research Award, Artificial Intelligence in Engineering, Bauhaus University, Germany, Scholarly Publications, Scopus Author Profile, Research Evaluation, Engineering Research, Citation Analysis, Academic Recognition.

Introduction

Academic recognition programs provide structured mechanisms for acknowledging measurable scientific achievements while promoting transparency in research evaluation. Modern assessment emphasizes publication quality, citation influence, international visibility, and contributions to disciplinary advancement. The Superior Engineering Research Awards employ these widely accepted scholarly indicators when recognizing research excellence across engineering disciplines.[2][3]

Research Profile

  • Researcher: Vandana Kumari.
  • Institution: Bauhaus University, Germany.
  • Primary research domain: Artificial Intelligence in Engineering.
  • Scopus indexed documents: 6.
  • Total citations: 358.
  • h-index: 6.
  • Persistent researcher identifier: ORCID 0000-0001-9668-589X.

Research Contributions

The available scholarly profile indicates contributions associated with Artificial Intelligence applications in engineering research. Indexed publications contribute to scientific communication, demonstrate participation in peer-reviewed dissemination, and support interdisciplinary collaboration. Citation activity suggests that the published work has received measurable scholarly attention within the academic community.[1][4]

Publications

The researcher maintains six indexed scholarly documents according to the referenced Scopus author profile. Publication metadata, citation tracking, and digital object identifiers enable verification of research dissemination and facilitate persistent access to scientific literature through DOI infrastructure.[1][4]

Research Impact

Research impact is reflected through citation frequency, scholarly visibility, and persistent indexing across internationally recognized databases. With 358 citations and an h-index of 6, the available metrics indicate documented academic influence relative to the current publication portfolio. Such indicators provide quantitative evidence supporting research assessment while complementing qualitative peer evaluation.[1][2]

Award Suitability

Based on publicly available scholarly indicators, Vandana Kumari demonstrates characteristics commonly considered during academic recognition, including indexed publications, citation performance, institutional affiliation, and engagement within Artificial Intelligence in Engineering. Eligibility for the Innovative Research Award is supported through measurable research outputs while remaining subject to the formal evaluation procedures established by the Superior Engineering Research Awards.[3]

Conclusion

The documented research profile reflects scholarly activity supported by recognized academic databases, persistent researcher identifiers, and measurable citation indicators. Together, these elements provide an objective basis for evaluating scientific contributions and reinforce the importance of transparent research assessment within international engineering communities.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Vandana Kumari, Author ID 57218095932. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57218095932
  2. ORCID. (n.d.). ORCID Registry: 0000-0001-9668-589X.
    https://orcid.org/0000-0001-9668-589X
  3. Superior Engineering Research Awards. (n.d.). Official Award Website.
    https://superiorengineering.org/
  4. Crossref. (n.d.). Digital Object Identifier (DOI) Foundation.
    DOI:
    https://doi.org/10.1038/s41586-019-1234-5