VSSNVG Krishna Murthy Somanchi | Applied mathematics | Best Researcher Award

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.