Rahul Kundiya | Smart Manufacturing | Best Research Article Award

Published on by Applied Scientist

Best Research Article Award

Rahul Kundiya
VPM’s Maharshi Parshuram College of Engineering, Velneshwar, India

Rahul Kundiya
Affiliation VPM’s Maharshi Parshuram College of Engineering, Velneshwar
Country India
Scopus ID 59160877000
Documents 6
Citations 11
h-index 2
Subject Area Smart Manufacturing
Event Applied Scientist Awards
ORCID 0000-0002-4555-8927

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]

References

  1. Elsevier. (n.d.). Scopus author details: Rahul Kundiya, Author ID 59160877000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59160877000
  2. 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
  3. 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
  4. 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/
  5. R Kundiya, M Kadam, P Jadhav. (2024). Engineering Insights into NiTinol Shape Memory Alloy Evolution.
    https://www.researchgate.net/profile/Suhas-Kulkarni-12/

Mohamed Sallam | Digitalization | Research Excellence Award

Published on by Applied Scientist

Research Excellence Award

Mohamed Sallam

Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia

Mohamed Sallam
Affiliation Imam Mohammad Ibn Saud Islamic University (IMSIU)
Country Saudi Arabia
Scopus ID 57208326882
Documents 9
Citations 17
h-index 3
Subject Area Digitalization
Event Applied Scientist Awards
ORCID 0000-0002-8753-6128

Mohamed Sallam has established research activities in digitalization and related information technologies through peer-reviewed publications, international indexing, and scholarly collaboration. His research profile, citation performance, and documented scientific output provide objective indicators supporting academic recognition within the framework of the Applied Scientist Awards. The Research Excellence Award recognizes sustained scholarly contributions that demonstrate measurable academic productivity, research quality, and professional engagement within a specialized discipline. [1][2]

Abstract

Mohamed Sallam has developed an academic profile centered on digitalization, information systems, and technology-enabled innovation. His research output indexed in Scopus demonstrates participation in internationally recognized scholarly communication. Citation metrics, publication quality, and continued engagement with contemporary digital transformation research provide measurable evidence of scientific contribution. These indicators support consideration for the Research Excellence Award, which recognizes researchers whose scholarly activities contribute to the advancement of knowledge through peer-reviewed publications, research dissemination, and academic collaboration.[1][3]

Keywords

Digitalization; Digital Transformation; Information Systems; Emerging Technologies; Research Excellence; Scientific Publications; Applied Research; Innovation; Academic Recognition; Applied Scientist Awards.

Introduction

Digitalization has become a fundamental driver of organizational development, technological innovation, and knowledge creation across multiple sectors. Researchers working within this field contribute to improved digital infrastructures, decision-support methodologies, and technology adoption frameworks. Mohamed Sallam’s scholarly activities reflect participation in these evolving research directions through publications addressing contemporary digital technologies and their practical applications. The international visibility of his research provides a documented foundation for evaluating scientific productivity and research quality.[2][4]

Research Profile

According to publicly available academic indexing services, Mohamed Sallam has authored nine Scopus-indexed publications that have collectively received seventeen citations and produced an h-index of three. These bibliometric indicators demonstrate sustained scholarly engagement and measurable research visibility. His affiliation with Imam Mohammad Ibn Saud Islamic University further reflects participation in institutional research activities supporting scientific advancement and digital innovation.[1][2]

Research Contributions

Research contributions attributed to Mohamed Sallam emphasize digital transformation, technological implementation, and knowledge-based innovation. His published studies contribute to the growing literature addressing digital solutions, information technologies, and practical applications that support organizational effectiveness and technological advancement. Through peer-reviewed dissemination, these works participate in broader academic discussions concerning digitalization and its interdisciplinary significance.[2][5]

Publications

Representative scholarly publications indexed within international databases demonstrate continuing participation in peer-reviewed academic communication. These publications collectively contribute to the measurable research record supporting academic assessment and bibliometric evaluation.[2]

  • Peer-reviewed publications indexed in Scopus.
  • Research focused on digitalization and emerging technologies.
  • Scholarly collaboration contributing to international research visibility.
  • Research articles assigned Digital Object Identifiers (DOIs) where applicable.

Research Impact

Bibliometric indicators including publication count, citation record, and h-index provide objective measures frequently considered during research evaluation. Although quantitative metrics represent only one aspect of scholarly quality, they offer evidence of research dissemination, academic visibility, and engagement by the scientific community. Mohamed Sallam’s indexed publications contribute to ongoing discussions in digitalization and demonstrate measurable research influence within his field.[1][3]

Award Suitability

The Research Excellence Award evaluates scholarly achievement using transparent academic criteria that include publication quality, citation performance, research integrity, and disciplinary contribution. Mohamed Sallam’s documented research profile, institutional affiliation, and internationally indexed scholarly output collectively demonstrate characteristics commonly associated with research excellence. These measurable academic indicators support his suitability for recognition within the Applied Scientist Awards while maintaining an evidence-based and neutral evaluation framework.[1]

Conclusion

Mohamed Sallam has established a documented academic record in digitalization supported by peer-reviewed publications, international indexing, and measurable bibliometric indicators. His scholarly activities contribute to the advancement of knowledge through research dissemination and academic engagement. The available evidence supports recognition of his research accomplishments within the context of the Research Excellence Award and reflects continued participation in the international scientific community.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Sallam, Author ID 57208326882. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57208326882
  2. EEME Ahmed Mohamed Kamara, Mohamed A. M. Sallam. (2025). Asymmetric Effects of Exchange Rates and Oil Prices on Inflation in Egypt.
    https://savearchive.zbw.eu/bitstream/11159/710453/1/193299646X_0.pdf
  3. Mohamed A. M. Sallam. (2016). Factors Promoting Economic Growth in Egypt: Evidence from ARDL Approach.
    https://www.researchgate.net/profile/Mohamed-Sallam
  4. Mohamed A. M. Sallam, Tarek Sadraoui. (2025). Oil Shocks and MENA Stock Markets: Nonlinear and Asymmetric Causal Evidence Across Crisis Regimes
    http://jcasc.com/index.php/jcasc/article/view/2610
  5. Mohamed A. M. Sallam, MS Hegazy. (2026). The Role Of Financial Inclusion In Enhancing Egyptian Economic Growth Through Digital Financial Services And Financial Technology.
    https://reference-global.com/article/10.2478/eoik-2026-0016

Susana Casy Téllez-Ballesteros | Industry 4.0/5.0 | Research Excellence Award

Published on by Applied Scientist

Prof. Dr. Susana Casy Téllez-Ballesteros | Industry 4.0/5.0 | Research Excellence Award

Professor (Full) at National Autonomous University of Mexico | Mexico

Prof. Dr. Susana Casy Téllez-Ballesteros has contributed to applied research in industrial engineering with emphasis on supply chain optimization, production planning, and simulation techniques. Her Scopus-indexed works explore predictive analytics and inventory optimization using Monte Carlo methods, aligning with Industry 4.0 applications. She has also contributed to academic books in business intelligence and complexity sciences, enhancing interdisciplinary engagement. Her Scopus profile reflects 3 documents, 1 citation, and an h-index of 1, indicating emerging but relevant research impact suitable for practice-driven academic recognition.

Citation Metrics (Scopus)

4

3

2

1

0

Citations
1

Documents
3

h-index
1

Featured Publications


Determination of an optimal inventory system, and safety factor, in a MSME, through Monte Carlo simulation
– Proceedings of the International Conference on Modelling and Applied Simulation, 2023