Kangkan Choudhury | Mathematics | Best Paper Award

Best Paper Award

Kangkan Choudhury
Affiliation University of Science and Technology Meghalaya
Country India
Scopus ID 57204730807
Documents 13
Citations 68
h-index 4
Subject Area Mathematics
Event International Research Excellence and Best Paper Awards
ORCID 0000-0003-2809-8428

Kangkan Choudhury

Kangkan Choudhury of the University of Science and Technology Meghalaya, India is recognized with the Best Paper Award for research excellence in the field of Mathematics. The recognized research, titled “MHD free convective heat and mass transfer flow passing through semi-infinite plate for Cu-water and TiO2-water nanofluids in presence of radiation embedded in porous medium,” investigates magnetohydrodynamic free-convective heat and mass transfer involving nanofluids, radiation effects, and porous media.

Abstract

This article recognizes Kangkan Choudhury for the Best Paper Award in recognition of research excellence in mathematics. The recognized paper, titled “MHD free convective heat and mass transfer flow passing through semi-infinite plate for Cu-water and TiO2-water nanofluids in presence of radiation embedded in porous medium,” focuses on mathematical modeling of magnetohydrodynamic free convection and heat and mass transfer in nanofluid flows. The study considers Cu-water and TiO2-water nanofluids, radiation effects, and porous-medium conditions, addressing important mathematical and transport-phenomena aspects of advanced fluid-flow systems.

Keywords

MHD Flow, Magnetohydrodynamics, Free Convection, Heat Transfer, Mass Transfer, Nanofluids, Cu-Water Nanofluid, TiO2-Water Nanofluid, Radiation, Porous Medium, Semi-Infinite Plate, Mathematical Modeling, Fluid Mechanics, Thermal Engineering, Mathematics.

Introduction

The recognized paper examines the mathematical behavior of magnetohydrodynamic free-convective heat and mass transfer through a semi-infinite plate under conditions involving nanofluids, radiation, and a porous medium. Magnetohydrodynamic flow combines fluid motion with magnetic-field effects, while nanofluids provide a framework for studying enhanced thermal transport through suspended nanoparticles.

Research Profile

Kangkan Choudhury is affiliated with the University of Science and Technology Meghalaya, India, and is associated with the subject area of Mathematics. The provided academic information records 13 documents, 68 citations, and an h-index of 4. The researcher’s Scopus Author ID is 57204730807, while the ORCID identifier is 0000-0003-2809-8428.

Research Contributions

The research contributes to the mathematical study of coupled heat and mass transfer phenomena by integrating several physical effects into a unified flow model. The consideration of magnetic-field effects, free convection, nanofluids, radiation, and porous-medium characteristics provides a multidimensional framework for analyzing complex transport behavior.

Research Impact

The provided academic profile records 13 documents, 68 citations, and an h-index of 4 for Kangkan Choudhury. These indicators provide a quantitative view of the researcher’s indexed scholarly output and citation activity.

The recognized research has relevance to mathematical modeling and applied transport phenomena. Its focus on nanofluid heat transfer, magnetohydrodynamics, radiation, and porous media connects mathematical analysis with areas of fluid mechanics, thermal systems, energy transport, and engineering applications.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, relevance, and meaningful contribution to its respective discipline. Kangkan Choudhury’s recognized research aligns with these objectives through its mathematical investigation of MHD free convection, heat and mass transfer, nanofluids, radiation, and porous-medium effects.

Conclusion

Kangkan Choudhury represents a research contribution in the field of Mathematics, particularly in mathematical modeling of fluid flow and coupled heat and mass transfer. The recognized paper, “MHD free convective heat and mass transfer flow passing through semi-infinite plate for Cu-water and TiO2-water nanofluids in presence of radiation embedded in porous medium,” brings together magnetohydrodynamic effects, nanofluid transport, radiation, and porous-medium characteristics within a mathematical framework.

External Links

References

  1. Scopus Author Profile: Kangkan Choudhury, Author ID 57204730807.
    Scopus.Scopus Author Profile
  2. ORCID Research Profile: Kangkan Choudhury.
    ORCID.ORCID Research Profile
  3. Best Paper Awards.
    Best Paper Awards

Jaydeep Pandya | Mathematics | Best Researcher Award

Dr. Jaydeep Pandya | Mathematics | Best Researcher Award 

PhD | Maharaja Krishnakumarsinhji Bhavnagar University | India

 

Dr. Jaydeep A. Pandya is a dedicated mathematician and emerging research talent whose strong academic foundation and focused expertise make him a highly suitable candidate for a Best Researcher Award in Mathematics, particularly in the domains of Operations Research and Transportation Modelling. A gold medalist in M.Sc. Mathematics from M.K. Bhavnagar University and a Ph.D. scholar specializing in refinements to transportation models, he demonstrates consistent academic rigor and research excellence. His research portfolio includes four published papers in reputed Scopus-, ABDC-, and peer-reviewed journals, addressing probabilistic frameworks, transportation barriers, atmospheric and external cost factors, and optimization methods in logistics systems. Dr. Pandya has presented more than twelve research papers across prestigious national and international conferences at institutions including Kurukshetra University, JECRC University, Thapar Institute of Engineering & Technology, VIT Tamil Nadu, Gauhati University, and Bharatiya Vidya Bhavan, reflecting strong scholarly engagement and subject command. He has also contributed to academic literature through a conference proceedings publication in the field of sustainable development. Beyond research, he is actively involved in academic governance as a member of IQAC, Board of Studies, and Anti-Ragging Committee, demonstrating leadership and institutional commitment. His continuous learning mindset is evident through multiple NPTEL/SWAYAM certifications from leading Indian institutions such as IITs and central universities in fields like operations research, statistics, real analysis, and academic writing. With technical proficiency in LaTeX, MS Excel, data handling, and mathematical modelling tools, he brings both analytical and computational strengths. Recognized early with the Prof. A.R. Rao Gujarat Ganit Mandal encouragement award, Dr. Pandya’s career objective aligns with innovative, impactful academic research and student development. His strong publication record, scholarly presentations, interdisciplinary orientation, and commitment to advancing mathematical solutions for real-world transportation systems collectively position him as a deserving and promising candidate for the Best Researcher Award.

Profiles: ORCID | ResearchGate

Featured Publications

Pandya, J. A. (2024). A study of uncertainty and probability in transportation problem. Utilitas Mathematica, 121, 1–10.

Pandya, J. A. (2025). A probabilistic framework for evaluating efficiency gains in Vogel’s approximation method. Journal of Informatics Education and Research, 5, 1–12.

Pandya, J. A. (2023). Impact of atmospheric barriers on transportation efficiency. International Journal of Interdisciplinary Organizational Studies, 18, 15–25.

Pandya, J. A. (2023). Analytical study on external transportation cost in linear programming problems. International Journal of Innovative Research & Growth, 12, 32–40.

Pandya, J. A. (2024). One Day National Conference on Green Energy and Sustainable Development. Conference Proceedings, Department of Physics, Shri R. R. Lalan College, Bhuj, 78–85. (ISBN 978-81-931638-9-4)

 

Dr. Jaydeep A. Pandya’s research advances the efficiency and intelligence of transportation and logistics systems through innovative mathematical modelling and optimization techniques. His work bridges theoretical mathematics with real-world applications, improving decision-making in infrastructure planning, urban mobility, and resource optimization. By addressing uncertainty and dynamic barriers in transportation networks, his contributions support smarter cities, sustainable development, and data-driven industrial innovation.