Ghoshna Jyoti | Reaction Kinetics, Optimization | Innovative Research Award

Innovative Research Award

Ghoshna Jyoti
Guru Ghasidas Vishwavidyalaya
Ghoshna Jyoti
Affiliation Guru Ghasidas Vishwavidyalaya
Country India
Scopus ID 55877720500
Documents 19
Citations 420
h-index 9
Subject Area Reaction Kinetics, Optimization
Event International Invention Awards
Google Scholar ZuIG-_AAAAAJ&hl

Ghoshna Jyoti is affiliated with Guru Ghasidas Vishwavidyalaya, India, and has established a recognized research profile in reaction kinetics and optimization studies. The published scholarly contributions demonstrate consistent engagement with kinetic modeling, catalytic processes, mathematical optimization, and analytical investigations relevant to chemical sciences and engineering. The available bibliometric indicators, including publication count, citation performance, and h-index, reflect sustained academic productivity and research visibility within the scientific community.[1]

Abstract

Ghoshna Jyoti has contributed to scientific investigations centered on reaction kinetics, optimization methodologies, and related analytical approaches that support advancements in chemical and engineering research. The research portfolio demonstrates interdisciplinary integration of experimental observations with mathematical modeling to improve process understanding, efficiency, and reliability. Bibliometric indicators suggest sustained scholarly visibility through peer-reviewed publications and citations. These contributions provide valuable knowledge for academic researchers while supporting technological developments in reaction engineering, catalytic studies, and optimization strategies applicable across industrial and environmental systems.[1][2]

Keywords

Reaction Kinetics, Optimization, Chemical Engineering, Catalysis, Mathematical Modeling, Process Engineering, Computational Analysis, Scientific Research, Reaction Mechanisms, Experimental Chemistry.

Introduction

Reaction kinetics and optimization remain important scientific disciplines because they provide quantitative understanding of reaction mechanisms, process efficiency, and resource utilization. Research within these fields contributes to improved industrial processes, environmental sustainability, and advanced material development. Through systematic investigation of reaction behavior and optimization techniques, researchers establish reliable scientific evidence that supports innovation across chemistry and engineering while encouraging interdisciplinary collaboration between experimental and computational sciences.[2]

Research Profile

The available research metrics indicate consistent scholarly activity supported by peer-reviewed publications and measurable citation performance. Academic work focuses on reaction kinetics, optimization techniques, and associated engineering applications that emphasize scientific rigor and methodological reliability. The research demonstrates sustained engagement with analytical investigations that contribute to expanding knowledge within chemical sciences while maintaining visibility through internationally indexed scholarly databases.[1]

Research Contributions

The scholarly contributions emphasize the integration of reaction kinetics with optimization methodologies for analyzing complex chemical systems. Research activities include evaluating reaction mechanisms, improving predictive models, enhancing process performance, and supporting evidence-based scientific decision making. These investigations strengthen theoretical understanding while offering practical relevance for industrial processing, environmental applications, and future multidisciplinary scientific research initiatives.[3]

Publications

Research publications indexed within international databases demonstrate continuing scientific productivity across reaction kinetics and optimization studies. These publications collectively contribute to the dissemination of validated methodologies, experimental findings, and computational analyses that assist researchers working in chemistry, process engineering, and interdisciplinary scientific domains. Citation performance indicates that the published work has attracted scholarly attention within the broader academic community.[1][4]

Research Impact

The research impact is reflected through citation metrics, publication visibility, and continued academic engagement within internationally recognized indexing platforms. Contributions to reaction kinetics and optimization have supported scientific discussion, encouraged methodological refinement, and provided useful references for subsequent investigations. These measurable outcomes demonstrate meaningful influence within relevant research communities while reinforcing continued scholarly development.[1]

Award Suitability

Considering the available publication record, citation performance, h-index, and sustained research activity in reaction kinetics and optimization, Ghoshna Jyoti demonstrates an academic profile aligned with recognition through the International Invention Awards. The documented scholarly achievements, research visibility, and contributions to scientific knowledge illustrate continued commitment to advancing research quality and innovation while supporting broader academic and technological progress.[1][4]

Conclusion

The scholarly profile of Ghoshna Jyoti reflects continued participation in reaction kinetics and optimization research supported by measurable bibliometric indicators and peer-reviewed scientific publications. The integration of analytical methodologies with engineering applications contributes to scientific understanding while promoting future interdisciplinary collaboration. Overall, the available evidence demonstrates a consistent academic record that supports professional recognition within the international research community.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Ghoshna Jyoti, Author ID 55877720500. Scopus.
    https://www.scopus.com/pages/authors/55877720500
  2. International Journal of Chemical Kinetics. (2026.). Carbon-Based Catalysts Synthesized From Bio-Waste for Yielding Butyl Butyrate by Esterification Reaction: Experimental and Kinetic Study.
    https://doi.org/10.1002/kin.70067
  3. Chemical Engineering & Technology. (2019.) .Production and Isolation of n-Butyl Acrylate Using Pervaporation-Aided Esterification Reaction: Kinetics and Optimization:
    https://doi.org/10.1002/ceat.201800397
  4. International Invention Awards.(2026.) Award Information and Recognition Platform.
    https://inventionawards.org/

Muhammad Naveed Khan | Chemical Engineering | Best Researcher Award

Dr. Muhammad Naveed Khan | Chemical Engineering | Best Researcher Award

Zhejiang university | China

Dr. Muhammad Naveed Khan is an accomplished researcher in applied mathematics and computational fluid dynamics, recognized internationally for his extensive contributions to non-Newtonian fluid modeling, hybrid nanofluid behavior, and advanced numerical simulation techniques. With a strong research foundation built through doctoral training in applied mathematics and continuous postdoctoral work at leading academic institutions, he has established himself as a prolific scholar in contemporary fluid mechanics and heat transfer analysis. Dr. Khan’s research focuses on a wide spectrum of computational and theoretical problems, including partial differential equations, heat and mass transfer analysis, hybrid nanofluid and ternary nanofluid flows, magnetohydrodynamics (MHD), bioconvection, multiphase flow stability, and Newtonian and non-Newtonian fluid behaviors under complex physical constraints. His expertise extends to modern transport theories such as Cattaneo–Christov heat flux, Darcy–Forchheimer porous media flow, swirling and rotational fluid systems, chemically reactive micropolar flows, and mixed convection phenomena. His contributions also include exploring the thermophysical roles of nanomaterials, bio-convection mechanisms, cross-diffusion effects, and entropy generation in next-generation heat transfer systems. With 80 SCI-indexed research publications, Dr. Khan has built a substantial scientific footprint, contributing first-author articles to high-impact journals such as Tribology International, Journal of Molecular Liquids, Case Studies in Thermal Engineering, Surfaces and Interfaces, and Journal of Computational Design and Engineering. His work consistently appears in Q1-ranked journals, demonstrating both scientific rigor and high relevance to global research challenges in energy engineering, fluid mechanics, and material science. His citation metrics—highlighted by more than 1700 citations, an h-index of 25, and an i10-index of 47—reflect his strong influence in the field. He has been recognized among the Top 2% most-cited scientists worldwide by Stanford University for consecutive years, underscoring the global impact of his scholarship. His research engagement includes supervising postgraduate scholars, contributing as a reviewer for more than 30 international scientific journals, and developing advanced computational solutions using COMSOL Multiphysics, MATLAB, MAPLE, and Mathematica. Dr. Khan’s ongoing projects include numerical modeling of drag–lift forces, chemically reactive micropolar systems, MHD nanofluid flows, entropy minimization, and multi-slip non-Newtonian flows over complex geometries. His sustained contributions strengthen theoretical fluid mechanics and support emerging applications in energy systems, environmental modeling, advanced heat exchangers, and high-performance engineering materials.

Profiles: Orcid | Google Scholar

Featured Publications

Khan, A. A., Khan, M. N., Ahammad, N. A., Ashraf, M., Guedri, K., & Galal, A. M. (2022). Flow investigation of second grade micropolar nanofluid with porous medium over an exponentially stretching sheet. Journal of Applied Biomaterials & Functional Materials. https://doi.org/10.1177/22808000221089782

Ahmad, S., Nadeem, S., & Khan, M. N. (2022). Heat enhancement analysis of the hybridized micropolar nanofluid with Cattaneo–Christov and stratification effects. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. https://doi.org/10.1177/09544062211010833

Zhang, J., Ahmed, A., Khan, M. N., Wang, F., Abdelmohsen, S. A. M., & Tariq, H. (2022). Swirling flow of fluid containing (SiO₂) and (MoS₂) nanoparticles analyzed via Cattaneo–Christov theory. Journal of Applied Biomaterials & Functional Materials. https://doi.org/10.1177/22808000221094685

Khan, M. N., Nadeem, S., Abbas, N., & Zidan, A. M. (2021). Heat and mass transfer investigation of a chemically reactive Burgers nanofluid with an induced magnetic field over an exponentially stretching surface. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. https://doi.org/10.1177/09544089211034941

Khan, A. A., Khan, M. N., Nadeem, S., Hussain, S. M., & Ashraf, M. (2021). Thermal slip and homogeneous/heterogeneous reaction characteristics of second-grade fluid flow over an exponentially stretching sheet. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. https://doi.org/10.1177/09544089211064187

Khan, M. N., & Nadeem, S. (2021). MHD stagnation point flow of a Maxwell nanofluid over a shrinking sheet (multiple solution). Heat Transfer. https://doi.org/10.1002/htj.22098