Lecturer
Mamta Keswani
Scientific Writing
About me
Dedicated and research-driven Mathematics educator with a Ph.D. and expertise in inventory optimization, fuzzy systems, machine learning, and sustainable decision-making. Currently a DST Senior Research Fellow with SCIE/Scopus publications and reviewing experience. Committed to concept-focused, analytical learning that strengthens foundations, problem-solving, and research skills through modern computational and data-driven approaches.
Interests: My research primarily focuses on sustainable inventory optimization and intelligent decision-making under uncertainty, integrating advanced mathematical modelling, fuzzy logic, stochastic systems, and machine learning techniques. I develop innovative inventory and production models that incorporate real-world complexities such as deteriorating items, carbon emission costs, memory effects, probabilistic and price-dependent demand, and trade credit financing. A significant aspect of my work involves applying meta-heuristic optimization algorithms, fractional calculus, and interval-valued modelling to enhance profitability, operational efficiency, and environmental sustainability in supply chains. I also explore data-driven demand forecasting and AI-enabled decision support systems for healthcare, pharmaceutical, and closed-loop supply chain applications. Overall, my research aims to bridge theoretical mathematical modelling with practical industrial sustainability challenges, providing scalable and intelligent solutions for modern operations management and green supply chain systems.
