Arulmozhi A.K | Mathematics | Innovative Research Award

Innovative Research Award

Arulmozhi A.K
R. M. K. College of Engineering and Technology, India

Arulmozhi A.K
Affiliation R. M. K. College of Engineering and Technology
Country India
Scopus ID 59232539800
Documents 7
Citations 58
h-index 4
Subject Area Fault Tolerant
Event Indian Scientist Awards
ORCID 0000-0003-2376-476X

Arulmozhi A.K is identified in the supplied information as an academic researcher affiliated with R. M. K. College of Engineering and Technology, India. The stated research area is fault-tolerant systems, a field concerned with maintaining reliable operation despite component failures. The supplied bibliometric indicators provide an initial overview of scholarly activity. [1] [2]

Abstract

This article presents an academic recognition profile for Arulmozhi A.K, whose stated research area is fault-tolerant systems. The supplied bibliometric information reports seven documents, 58 citations, and an h-index of four. These indicators provide a preliminary view of scholarly visibility, while individual publications and technical contributions require verification through authoritative research records. [1] [2]

Keywords

Arulmozhi A.K; fault-tolerant systems; dependable computing; system reliability; fault detection; fault recovery; engineering research; scholarly publications; citation analysis; Indian Scientist Awards.

Introduction

Fault-tolerant engineering focuses on designing systems that continue operating correctly when hardware, software, or communication components fail. It supports dependable computing, industrial automation, and other reliability-sensitive applications. Research in this field explores detection, recovery, redundancy, and resilience. Arulmozhi A.K’s stated subject area provides the context for this academic profile. [3]

 Research Profile

Arulmozhi A.K is listed in the supplied information as being affiliated with R. M. K. College of Engineering and Technology in India. The provided Scopus author identifier is 59232539800, with seven documents, 58 citations, and an h-index of four. These details should be checked against current database records before publication. [1] [2]

Research Contributions

Research in fault-tolerant systems can address reliable system architecture, failure detection, recovery mechanisms, redundancy, and dependable performance. Such work may improve availability and reduce disruption in computing and engineering applications. Specific contributions by Arulmozhi A.K should be identified from verified publications, technical results, and documented projects rather than inferred solely from the stated subject area. [3]

Publications

The supplied Scopus information lists seven documents associated with Arulmozhi A.K. A detailed publication review can establish research themes, co-authorship, publication venues, and developments across the researcher’s academic work. Before listing individual studies, titles, author order, journal details, publication years, and digital object identifiers should be verified against the relevant bibliographic records. [1]

Research Impact

The supplied metrics report 58 citations and an h-index of four. Citation counts indicate recorded references to published work, while the h-index combines publication productivity with citation distribution. These measures provide useful context but do not independently establish originality, technical quality, or practical impact. A balanced evaluation should also examine research methods, findings, and application outcomes. [1] [2]

 Award Suitability

The Innovative Research Award may provide a framework for recognizing documented scientific and engineering contributions. Assessment of Arulmozhi A.K should consider research originality, publication quality, technical relevance, reproducibility, and evidence of practical value. The supplied bibliometric indicators offer preliminary context but do not establish eligibility, nomination, or selection. Final evaluation should follow the organizer’s published criteria. [1]

Conclusion

Arulmozhi A.K’s supplied profile identifies fault-tolerant systems as the research area and reports seven documents, 58 citations, and an h-index of four. These figures offer an initial bibliometric overview. A comprehensive assessment should additionally examine verified publications, methodological rigor, originality, and documented engineering outcomes to provide a balanced account of scholarly contributions. [1] [3]

 References

  1. Elsevier. (n.d.). Scopus author details: Arulmozhi A.K, Author ID 59232539800. Scopus. The supplied author record is the intended source for checking bibliographic and citation metrics.
    https://www.scopus.com/authid/detail.uri?authorId=59232539800
  2. ORCID. (n.d.). Arulmozhi A.K researcher identifier. ORCID provides a persistent identifier for distinguishing researchers and connecting their scholarly outputs. The record should be reviewed for relevant publication information.
    https://orcid.org/0000-0003-2376-476X
  3. Indian Scientist Awards. (n.d.). Official award website. The organizer’s website is the appropriate source for current award categories, eligibility criteria, and nomination requirements. This profile does not independently confirm the researcher’s nomination or award status.
    https://indianscientist.in/

Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

Anurag University | India

Dr. Shravan Kumar R is an emerging researcher in the field of Fluid Dynamics and Artificial Neural Networks, currently serving as an Assistant Professor at Anurag University. He earned his Ph.D. from the National Institute of Technology, Warangal, where his work focused on the artificial neural network treatment of Casson fluid flow over a radially stretching sheet. His academic foundation includes an M.Sc. in Applied Mathematics from NIT Warangal and a B.Ed. and B.Sc. from Kakatiya University. His research interests encompass fluid dynamics, differential equations, and computational modelling using deep learning techniques. Dr. Kumar has published several impactful papers in reputed journals such as the Journal of Thermal Analysis and Calorimetry, International Journal of Applied and Computational Mathematics, and European Journal of Mechanics – B/Fluids. His scholarly output has achieved an h-index of 3, i10-index of 2, and 50 citations as per Google Scholar. A recipient of strong academic distinctions, including qualifying the SET and securing a top rank in GATE, he has actively participated in conferences, FDPs, and workshops on mathematics, AI, and machine learning. Dr. Kumar continues to integrate neural networks with fluid mechanics, contributing toward advancing computational mathematics and intelligent simulation methods.

Profile: Google Scholar

Featured Publications

Srinivasacharya, D., & Kumar, R. S. (2022). Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects. Journal of Thermal Analysis and Calorimetry, 147(24), 14891–14903. https://doi.org/10.1007/s10973-022-XXXXX-X

Srinivasacharya, D., & Kumar, R. S. (2023). An artificial neural network solution for the Casson fluid flow past a radially stretching sheet with magnetic and radiation effect. Mathematical Models and Computer Simulations, 15(5), 944–955. https://doi.org/10.1134/S207004822305XXX

Srinivasacharya, D., & Kumar, R. S. (2023). Neural network analysis for bioconvection flow of Casson fluid over a vertically extending sheet. International Journal of Applied and Computational Mathematics, 9(5), 80. https://doi.org/10.1007/s40819-023-016XX-X

Nallpu, S., Sneha, G. S., & Kumar, R. S. (2018). Effect of slip on Jeffrey fluid flow through an inclination tube. Journal of Physics: Conference Series, 1000(1), 012041. https://doi.org/10.1088/1742-6596/1000/1/012041

Rudrabhatla, S. K., & Srinivasacharya, D. (2025). Deep learning framework for Casson fluid flow: A PINN approach to heat and mass transfer with chemical reaction and viscous dissipation. European Journal of Mechanics – B/Fluids, 204401. https://doi.org/10.1016/j.euromechflu.2025.204401