Best Research Article Award
Rahul Kundiya
VPM’s Maharshi Parshuram College of Engineering, Velneshwar, India
Rahul Kundiya is a researcher affiliated with VPM’s Maharshi Parshuram College of Engineering, Velneshwar, India, whose academic profile is associated with the field of smart manufacturing. His research activity is positioned within a technological domain that combines manufacturing systems, digital technologies, automation, data-driven methods, and cyber-physical approaches. The Best Research Article Award recognizes the scholarly value and research contributions of articles that demonstrate methodological relevance, technical rigor, and potential significance within their respective fields. In this context, Kundiya’s research profile provides an academic basis for consideration in the area of smart manufacturing, a field closely associated with the development of intelligent, connected, and digitally integrated production systems. [1]
Abstract
This article presents an academic recognition profile of Rahul Kundiya, a researcher affiliated with VPM’s Maharshi Parshuram College of Engineering, Velneshwar, India. His research area is identified as smart manufacturing, a multidisciplinary field involving the integration of advanced digital technologies, intelligent automation, industrial data systems, and cyber-physical production environments. The profile records six documents, eleven citations, and an h-index of two according to the supplied Scopus author information. Smart manufacturing research has become increasingly important in the development of connected and adaptive production systems, including the use of digital models, intelligent decision-making, and data-enabled industrial processes. [2] The Best Research Article Award provides a framework for recognizing research articles that contribute to knowledge development through sound methodology, technical relevance, and scholarly contribution.
Keywords
Best Research Article Award; Rahul Kundiya; Smart Manufacturing; Industrial Automation; Industry 4.0; Cyber-Physical Systems; Intelligent Manufacturing; Digital Manufacturing; Manufacturing Technology; Research Impact.
Introduction
Smart manufacturing represents a broad research and technological area concerned with the integration of computational intelligence, communication technologies, automation, sensing, and advanced analytical systems into manufacturing environments. Its development is closely connected with the broader transformation of industrial production toward more connected, responsive, and data-driven systems. Research in this field frequently addresses the relationship between physical production assets and digital information infrastructures, enabling improved monitoring, coordination, optimization, and decision support. [3]
Research Profile
Rahul Kundiya is affiliated with VPM’s Maharshi Parshuram College of Engineering, Velneshwar, India. His identified subject area is smart manufacturing. The supplied bibliometric profile lists a Scopus Author ID of 59160877000, six indexed documents, eleven citations, and an h-index of two. These indicators provide a quantitative overview of indexed research activity and citation visibility within the available scholarly record. [1]
Research Contributions
Research contributions in smart manufacturing may be evaluated through the development of new methodologies, technological frameworks, analytical approaches, experimental systems, or applied solutions for industrial production. Relevant research themes commonly include the integration of sensing and automation technologies, data-driven production analysis, intelligent process control, digital transformation, and the coordination of interconnected manufacturing systems.[5]
- Application of engineering and computational methods to smart manufacturing challenges.
- Contribution to research related to intelligent, connected, and digitally enabled production systems.
- Development or analysis of approaches relevant to automation, industrial data, and manufacturing system optimization.
- Potential relevance to the continuing evolution of Industry 4.0 and data-driven manufacturing research.
Publications
The supplied Scopus profile records six documents associated with the researcher. These publications form the documented scholarly basis for assessing research activity and subject-area engagement. A complete evaluation of individual publications would require examination of the article titles, publication venues, research methodologies, citation contexts, and the specific contribution of each work to smart manufacturing and related engineering disciplines.[4]
Research Impact
The available profile records eleven citations and an h-index of two. These indicators suggest that the research outputs have achieved measurable visibility within the indexed scholarly literature. Citation metrics can provide evidence of academic reach, although their interpretation should consider publication age, disciplinary citation practices, research field, and the time required for scholarly dissemination.
Award Suitability
The Best Research Article Award is intended to recognize research articles demonstrating academic quality, methodological rigor, originality, and meaningful contribution to a defined field of study. Rahul Kundiya’s research profile is relevant to this recognition framework because it is associated with smart manufacturing, an active interdisciplinary area of engineering and technology research.[5]
Conclusion
Rahul Kundiya is a researcher affiliated with VPM’s Maharshi Parshuram College of Engineering, Velneshwar, India, with a stated research focus in smart manufacturing. The supplied academic profile records six documents, eleven citations, and an h-index of two in the Scopus record. His research area corresponds to a multidisciplinary field concerned with intelligent and digitally integrated manufacturing systems. The Best Research Article Award provides an appropriate recognition framework for evaluating research that demonstrates scholarly rigor, technical relevance, and contribution to the advancement of knowledge in smart manufacturing and related areas.[3][4]
External Links
References
- Elsevier. (n.d.). Scopus author details: Rahul Kundiya, Author ID 59160877000. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=59160877000
- R Kundiya, R Pawade, et al. (2025). Smart manufacturing. Acoustic emission signal correlation with micro-machining characteristics of Ti-6Al-4 V alloy.
https://link.springer.com/article/10.1007/s12008-024-01956-2
- RR Kundiya, M Kadam, et al. (2015). A review on high speed micro-milling of shape memory alloy (NiTinol): Process and post perspective.
https://link.springer.com/article/10.1007/s12008-024-02153-x
- R Kundiya. (2025). In-Situ Monitoring of High-Speed Micro Milling of NiTinol Shape Memory Alloy Using Acoustic Emission Analysis.
https://www.researchgate.net/profile/Rahul-Kundiya/
- R Kundiya, M Kadam, P Jadhav. (2024). Engineering Insights into NiTinol Shape Memory Alloy Evolution.
https://www.researchgate.net/profile/Suhas-Kulkarni-12/