Best Researcher Award
Divya A
The Apollo University, India
Divya A, affiliated with The Apollo University, India, is an active researcher whose scholarly work spans computational fluid dynamics, nonlinear mathematical modelling, artificial intelligence, optimization methods and engineering applications. Her published research demonstrates interdisciplinary integration between mathematical analysis and intelligent computational techniques for solving complex engineering problems. With an established Scopus profile, growing citation record and contributions published in internationally recognized journals, her research reflects continuing engagement with modern computational science and applied engineering.[1]
Abstract
Divya A has developed a multidisciplinary research profile emphasizing fluid mechanics, nonlinear heat transfer, nanofluid modelling, computational intelligence and optimization-driven engineering analysis. Her work combines mathematical modelling with neural-network-based prediction techniques to improve engineering simulations involving thermal transport, boundary layer behaviour and intelligent optimization. These contributions support advances in computational engineering while demonstrating the growing integration of artificial intelligence within applied physical sciences.[2]
Keywords
- Fluid Dynamics
- Computational Mathematics
- Artificial Intelligence
- Neural Networks
- Nanofluids
- Heat Transfer
- Optimization
- Engineering Simulation
Introduction
Modern computational engineering increasingly depends on mathematical modelling and intelligent optimization to solve multidisciplinary scientific challenges. Researchers integrating computational fluid dynamics with artificial intelligence contribute to more accurate prediction, optimization and analysis of engineering systems. Divya A’s publications illustrate this interdisciplinary approach through studies involving magnetohydrodynamic flow, nanofluids, web-service optimization and numerical modelling, supporting innovation across engineering research.[2]
Research Profile
Her Scopus profile records an h-index of 9 with nearly two hundred citations, reflecting measurable scholarly influence. Research interests include computational fluid mechanics, nonlinear differential equations, thermal transport, machine learning, adaptive neuro-fuzzy inference systems, optimization algorithms and intelligent computational frameworks. The diversity of publication venues demonstrates collaboration across mathematics, engineering, computational intelligence and applied sciences.[1]
Research Contributions
Her recent studies investigate nonlinear thermal behaviour in magnetohydrodynamic boundary-layer flow using Levenberg–Marquardt backpropagation neural networks, highlighting the application of artificial intelligence to engineering simulations. Additional work explores Casson hybrid nanofluids flowing through stretching cylinders under heat source and sink effects while integrating computational approaches for thermal optimization. Beyond fluid mechanics, contributions to adaptive neuro-fuzzy inference systems for quality-of-service prediction illustrate broader expertise in intelligent computing and optimization techniques applicable to complex engineering environments.[2]
Publications
- Nonlinear thermal analysis of magnetohydrodynamic boundary layer flow over a hyperbolic stretching cylinder with thermal radiation using Levenberg–Marquardt backpropagation neural networks. Discover Applied Sciences (2026). DOI: 10.1007/s42452-026-08982-7.
- Exploring the role of Casson hybrid nanofluid flow through a stretching cylinder with a significant impact of heat source/sink. AIP Advances (2025). DOI:
10.1063/5.0254849.
- A Novel QoS Prediction Model for Web Services Based on an Adaptive Neuro-Fuzzy Inference System Using COOT Optimization. IEEE Access (2024). DOI: 10.1109/ACCESS.2024.3350642.
Research Impact
The available citation metrics indicate sustained academic visibility within computational engineering and applied mathematics. Her work contributes to improving engineering simulations through intelligent optimization, machine learning, and mathematical modelling. By integrating artificial intelligence with conventional engineering analysis, the research promotes efficient computational methodologies that are applicable across energy systems, industrial processes, numerical simulation, and multidisciplinary engineering research.[1]
Award Suitability
The profile of Divya A aligns with the objectives of the International Research Awards in Network Science and Graph Analytics by demonstrating interdisciplinary research excellence, international publication activity, and the practical application of intelligent computational techniques. Her contributions to optimization, neural-network modelling, engineering computation, and numerical analysis illustrate scholarly innovation while supporting broader developments in computational science and engineering research.[1]
Conclusion
Divya A has established a research portfolio characterized by interdisciplinary computational engineering, intelligent optimization, and advanced mathematical modelling. Through publications in recognized international journals, measurable citation performance, and continuous engagement with emerging engineering technologies, her work contributes to the advancement of fluid dynamics, artificial intelligence, and engineering computation. The breadth and consistency of these contributions support recognition within international academic award programs.
External Links
References
- Elsevier. (n.d.). Scopus Author Details: Divya A, Author ID 58687236200. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=58687236200