Santonu Debnath | Statistical Convergence | Best Researcher Award

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Mr. Santonu Debnath | Statistical Convergence | Best Researcher Award

Assistant Professor at Dhamma Dipa International Buddhist University, India.

Santonu Debnath is a mathematician and researcher specializing in the study of convergence in abstract normed spaces, with a particular emphasis on neutrosophic and fuzzy normed spaces. He is currently pursuing his Ph.D. at Tripura University, where his research explores the statistical properties of sequences within complex mathematical structures. His work has been widely recognized, with multiple publications in SCOPUS and Web of Science-indexed journals.

As an Assistant Professor at Dhamma Dipa International Buddhist University, he also serves as the Head of the Mathematics Department (I/C). His teaching experience spans several institutions, where he has contributed to the academic development of students in advanced mathematics. In addition, he is a life member of the Indian Mathematical Society and an active reviewer for Mathematical Reviews (American Mathematical Society).

Publication Profile

Scopus

Orcid

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Educational Details

Mr. Santonu Debnath is currently pursuing his Ph.D. at Tripura University (A Central University), Suryamani Nagar, Agartala, with an expected completion in 2025. He holds an M.Sc. in Mathematics from Tripura University (2016) and a B.Sc. from Maharaja Bir Bikram College, Agartala (2014). Additionally, he earned a Bachelor of Education (B.Ed.) from the Institute of Advanced Studies in Education, Kunjaban, Agartala (2019). His foundational schooling was completed under the Central Board of Secondary Education (CBSE), obtaining his 12th-grade qualification in 2011 and 10th-grade in 2009.

Professional Experience

Mr. Debnath has accumulated extensive teaching experience at various institutions. He currently serves as an Assistant Professor and Head of Department (I/C) at Dhamma Dipa International Buddhist University, South Tripura (October 2024 – present). Prior to this, he was a Guest Lecturer at Techno India University, Tripura (2024) and ICFAI University, Tripura (2020). Additionally, he contributed as a Guest Lecturer at Women’s Polytechnic College, Tripura, during two different periods (2019-2020 and 2016-2017). His expertise in mathematical research and pedagogy has significantly impacted his students and colleagues.

Research Interest

  • Neutrosophic Normed Spaces

  • Statistical and Deferred Statistical Convergence

  • Fuzzy Normed Spaces

  • Rough Statistical Convergence

  • Functional Analysis and Topology

  • Mathematical Modeling and Applications

Author Metrics

  • Total Publications: 9 (SCOPUS-indexed)

  • Citations: 8 (as per Sahand Communications in Mathematical Analysis)

  • h-index: 2 (Estimated)

  • i10-index: 1 (Estimated)

Top Noted Publication

  1. On Deferred Statistical Convergence of Sequences in Neutrosophic Normed Spaces

    • Journal: Sahand Communications in Mathematical Analysis, Vol. 19(4), 81-96 (2022)

    • Citations: 8

  2. On Deferred Statistical Convergence in Fuzzy Normed Linear Spaces

    • Journal: Journal of Fuzzy Extension and Applications, Vol. 6(1), 1-13 (2025)

  3. A Generalized Statistical Convergence in Neutrosophic Normed Space

    • Journal: Acta Mathematica Universitatis Comenianae, Vol. 93(2), 79-93 (2024)

  4. Rough Statistical Convergence in Neutrosophic Normed Spaces

    • Journal: Southeast Asian Bulletin of Mathematics, Vol. 48(3) (2024)

  5. On Statistical Limit Superior and Limit Inferior in Neutrosophic Normed Spaces

    • Journal: Advances in Mathematical Sciences and Applications, Vol. 33(1), 97-108 (2024)

Conclusion

Mr. Santonu Debnath is a promising researcher in mathematical convergence theories, particularly within neutrosophic and fuzzy normed spaces. His strong publication record, academic leadership, and professional memberships make him a solid candidate for the Best Researcher Award. By focusing on higher-impact journals, international collaborations, and funding opportunities, he can further solidify his standing as a leading researcher in mathematical analysis.

 

 

VSSNVG Krishna Murthy Somanchi | Applied mathematics | Best Researcher Award

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Prof. Dr. VSSNVG Krishna Murthy Somanchi | Applied mathematics | Best Researcher Award

Professor at Defence Institute of Advanced Technology, India

Prof. Dr. VSSNVG Krishna Murthy Somanchi is an esteemed mathematician and academic leader with extensive expertise in computational and applied mathematics. He has been instrumental in advancing numerical methods and mathematical modeling techniques, particularly in fluid dynamics and computational simulations. A recipient of the Erasmus Mundus – WILLPower Fellowship (2010-11) at École Centrale Paris, he has also been honored with the Best Teacher Award from G. Narayanamma Institute of Technology & Science in 2001. Dr. Krishna Murthy has served as Vice President and Executive Council Member of ISTAM (IIT Kharagpur) and is actively involved in international research collaborations, conference organizations, and curriculum development in applied mathematics and artificial intelligence.

Publication Profile

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Educational Details

Prof. Dr. VSSNVG Krishna Murthy Somanchi earned his Ph.D. in Mathematics from the Indian Institute of Technology Kanpur in 2010. He completed his M.Sc. in Mathematics from Osmania University, Hyderabad, in 1995 and obtained his B.Sc. in Mathematics, Physics, and Instrumentation from Andhra University, Visakhapatnam, in 1992. His postdoctoral research was conducted at École Centrale Paris, France, where he was a Postdoctoral Fellow from October 2010 to May 2011.

Professional Experience

Dr. Krishna Murthy is currently a Professor and Head of the Department of Applied Mathematics at the Defence Institute of Advanced Technology (DIAT), Pune, where he has served since 2011. Prior to this, he was an Assistant Professor at G. Narayanamma Institute of Technology & Science, Hyderabad (1998–2010), Sri Vani Degree College, Hyderabad (1998), and Vazir Sultan College of Engineering, Khammam (1995–1998). Over his distinguished career, he has played a pivotal role in developing new academic programs, leading research initiatives, and holding various administrative positions, including membership in the Board of Management, Academic Council, and Doctoral Research Committees at DIAT.

Research Interest

Dr. Krishna Murthy’s research focuses on fluid flow through porous media, finite element analysis, computational fluid dynamics (CFD), numerical methods for partial differential equations, mathematical modeling, numerical parallel algorithms, and parallel computing. His work contributes to advancements in mathematical simulations and computational techniques with applications across engineering and applied sciences.

Author Metrics

  • Publications & Editorial Roles: He has contributed to numerous research publications and serves on the editorial boards of various international journals, including Springer Nature Applied Sciences, Journal of Thermal Engineering, and multiple SCIREA and SciencePG journals.
  • Research Contributions: Developed M.Tech. programs in Data Science and Artificial Intelligence, along with courses in Mathematical Cryptography, Computational Mechanics, and Machine Learning.
  • Funding & Grants: Successfully secured research funding for international conferences and short courses, with grants exceeding ₹25.47 lakhs from DST, CSIR, DRDO, and ISTAM.
  • Memberships: Life member of ISTAM, IAENG, and WASET, and has held key positions in various academic and research committees.

Top Noted Publication

Mathematical Modelling of Pulsatile Flow of Blood Through Catheterized Unsymmetric Stenosed Artery—Effects of Tapering Angle and Slip Velocity

  • Authors: J.V.R. Reddy, D. Srikanth, S.K. Murthy
  • Journal: European Journal of Mechanics – B/Fluids
  • Volume: 48, Pages: 236–244, Year: 2014
  • Citations: 41
  • Summary: Investigates pulsatile blood flow through a catheterized artery with asymmetrical stenosis, considering tapering angle and slip velocity effects.

Influence of MHD Forces on Bejan’s Heatlines and Masslines in a Doubly Stratified Fluid-Saturated Darcy Porous Enclosure in the Presence of Soret and Dufour Effects

  • Authors: B.V.R.K. Vinay Kumar, V.S.S.N.V.G. Krishna Murthy
  • Journal: International Journal of Heat and Mass Transfer
  • Volume: 117, Pages: 1041–1062, Year: 2018
  • Citations: 33
  • Summary: Analyzes heat and mass transport in a stratified porous enclosure under magnetic field effects, incorporating Soret and Dufour diffusion.

Soret and Dufour Effects on Double-Diffusive Free Convection from a Corrugated Vertical Surface in a Non-Darcy Porous Medium

  • Authors: B.V.R. Kumar, S.K. Murthy
  • Journal: Transport in Porous Media
  • Volume: 85, Pages: 117–130, Year: 2010
  • Citations: 28
  • Summary: Examines the impact of Soret and Dufour effects on heat and mass transfer for double-diffusive convection near a wavy vertical surface.

Neural Network Based Analysis of Lightweight Block Cipher PRESENT

  • Authors: G. Mishra, S. Krishna Murthy, S.K. Pal
  • Book Chapter: Harmony Search and Nature Inspired Optimization Algorithms: Theory and Applications
  • Year: 2019
  • Citations: 22
  • Summary: Explores neural network techniques for analyzing PRESENT, a lightweight block cipher used in IoT security.

Study and Analysis of eSTREAM Cipher Salsa and ChaCha

  • Authors: P. Yadav, I. Gupta, S.K. Murthy
  • Conference: 2016 IEEE International Conference on Engineering and Technology (ICETECH)
  • Year: 2016
  • Citations: 22
  • Summary: Compares the security performance of eSTREAM ciphers, Salsa and ChaCha, with an emphasis on cryptographic resilience.

Conclusion

Prof. Dr. VSSNVG Krishna Murthy Somanchi is a strong candidate for the Best Researcher Award, given his significant contributions to computational mathematics, leadership in academic research, and ability to secure research funding. His experience in research collaborations, curriculum development, and numerical methods strengthens his profile.

To further enhance his suitability, he could increase international engagement, focus on publishing more high-impact research in recent years, and explore cutting-edge applications in AI and computational sciences.

Overall, he is a highly accomplished researcher, and if the award criteria prioritize long-term impact, leadership, and academic contributions, he is a very strong contender.