Active Research Projects

Ongoing sponsored research projects undertaken by faculty members of Rustamji Institute of Technology, BSF Academy, Gwalior.

3
Active Projects
MPCST
Funding Agency
₹21.25 Lakh
Total Sanctioned Amount
Ongoing

Design and Development of Polyaniline/Ferrite Nanocomposites for Enhanced Electromagnetic Wave Absorption

Project Type Research Project
Investigators Dr. Umashankar Sharma (Principal Investigator)
Funding Agency MPCST (Madhya Pradesh Council of Science and Technology)
Sanctioned Amount ₹8,10,000
Duration 2 Years
Status Ongoing

This research project focuses on the design and development of advanced polyaniline/ferrite nanocomposites aimed at enhancing electromagnetic wave absorption capabilities. The study contributes to applications in EMI shielding, defense systems, and advanced electronic materials.

Ongoing

Smart and Sustainable Technologies for Rehabilitating Polluted Lakes and Enhancing Aquatic Biodiversity

Project Type Research Project
Investigators Dr. Rakesh Sohal (PI), Dr. Namita Saxena (Co-PI)
Funding Agency MPCST (Madhya Pradesh Council of Science and Technology)
Sanctioned Amount ₹7,55,000
Duration 2 Years
Status Ongoing

This project aims to develop smart and sustainable technological interventions for restoring polluted lakes and improving aquatic biodiversity. The research integrates environmental monitoring, eco-restoration strategies, and sustainable development practices to support long-term ecological balance.

Ongoing

Fractional Calculus Operators and their Application in Advance Kinetic Equations

Project Type Research Project
Investigators Dr. Manoj Sharma (PI), Dr. Umashankar Sharma (Co-PI), Dr. Chetan Pathak (Co-PI)
Funding Agency MPCST (Madhya Pradesh Council of Science and Technology)
Sanctioned Amount ₹5,60,000
Duration 2 Years
Status Ongoing

This research project focuses on the development and application of fractional calculus operators for solving advanced kinetic equations arising in science and engineering. The study investigates mathematical models based on fractional-order differential equations to accurately describe complex dynamic systems exhibiting memory and hereditary characteristics.

The project aims to develop efficient analytical and computational techniques for solving nonlinear kinetic equations, contributing to advancements in applied mathematics, computational science, and multidisciplinary engineering research.