Research Excellence Award
Smita Nirkhi
Symbiosis Institute of Technology, India
Smita Nirkhi is an associate professor at Symbiosis Institute of Technology, Nagpur, India, working in artificial intelligence, machine learning, data mining, and digital forensics. Her Scopus record lists 45 documents, 79 citations, and an h-index of 5 within Computer Science [1]. This article reviews her research profile and suitability for the Research Excellence Award conferred through the Top Teachers Awards event [4].
Abstract
This article documents the scholarly record of Smita Nirkhi in computer science, emphasizing artificial intelligence, data mining, and digital forensics. Her indexed output and citation profile support a case for recognition in the Research Excellence Award category, evaluated here through verifiable bibliometric and professional evidence [2].
Keywords
- Artificial Intelligence
- Machine Learning
- Data Mining
- Digital Forensics
- Cyber Security
- Pattern Recognition
Introduction
Smita Nirkhi has more than two decades of teaching experience and a doctorate in Computer Science and Engineering from Nagpur University, awarded in 2017 for work on data mining techniques for digital forensics. Her research spans web mining, cyber security, pattern recognition, and machine learning, and she has held academic leadership roles including head of an artificial intelligence department and IQAC in-charge [1].
Research Profile
The Scopus author profile records 45 documents, 79 citations, and an h-index of 5, with Computer Science as the principal subject area [1]. The Google Scholar profile reports broader visibility, with 464 citations and an h-index of 10 across 112 documents [2]. Her ORCID record provides a persistent identifier for these outputs [3].
Research Contributions
Smita Nirkhi has published 87 research papers, including 25 international journal papers, 57 international conference papers, and 5 national conference papers. Her work includes a comparative study of authorship identification techniques for cyber forensics analysis and an early examination of artificial neural networks in data mining [5] [6]. She has also authored books on data mining in cyber forensics and machine learning.
Publications
Her publication record comprises journal and conference articles in data mining, forensics, and machine learning, indexed in Scopus and Google Scholar [1] [2]. Notable works include forensic authorship identification research and neural network applications in data mining, with DOIs available through the cited repositories [5].
Research Impact
Citation metrics indicate a developing international footprint, with Scopus reporting 79 citations and Google Scholar reporting 464 citations for the same author [1] [2]. Her funded projects include an AICTE research grant, and she has supervised numerous postgraduate and undergraduate projects, contributing to research capacity in her institution.
Award Suitability
The Research Excellence Award recognizes sustained scholarly contribution and measurable research impact. Smita Nirkhi’s indexed publication record, citation profile, funded research, and academic leadership collectively support her suitability for this recognition under the Top Teachers Awards event [4].
Conclusion
Smita Nirkhi presents a consistent record of research activity in computer science, supported by indexed publications, citation data, and professional service. Her profile aligns with the criteria of the Research Excellence Award, and her verified identifiers enable independent confirmation of the reported metrics [1] [2] [3].
External Links
References
- Elsevier. (n.d.). Scopus author details: Smita Nirkhi, Author ID 25927431900. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=25927431900
- Google Scholar. (n.d.). Citations profile: Smita Nirkhi. Google Scholar.
https://scholar.google.com/citations?user=VJxAP-wAAAAJ&hl=en&oi=sra
- ORCID. (n.d.). ORCID record: Smita Nirkhi, 0000-0002-1235-8865. ORCID.
https://orcid.org/0000-0002-1235-8865
- Top Teachers Awards. (n.d.). Award information and nomination details. Top Teachers.
https://topteachers.net
- Nirkhi, S., & Dharaskar, R. V. (2013). Comparative study of authorship identification techniques for cyber forensics analysis. arXiv preprint arXiv:1401.6118.
https://doi.org/10.48550/arXiv.1401.6118
- Nirkhi, S. (2010). Potential use of artificial neural network in data mining. Proceedings of the 2nd International Conference on Computer and Automation Engineering (ICCAE).
https://doi.org/10.1109/ICCAE.2010.5451537