Mamta Keswani | Computational Modeling and Simulation of FRPs | Best Researcher Award

Ms. Mamta Keswani | Computational Modeling and Simulation of FRPs | Best Researcher Award

Dr. Harisingh Gour Vishwavidyalaya Sagar, India

Profiles:

πŸŽ“Early Academic Pursuits

Ms. Mamta Keswani’s academic journey began with a strong foundation in mathematical sciences. She completed her B.Sc. from Rani Durgavati Vishwavidyalaya, Jabalpur, where she demonstrated exceptional academic prowess, earning six gold medals. Her early success laid a solid foundation for her future endeavors, as she pursued an M.Sc. in Mathematical Sciences. Her passion for mathematics was evident early on, as she delved into complex mathematical concepts, equipping herself with the necessary tools to tackle advanced research. Currently, she is pursuing her Ph.D. at Dr. Harisingh Gour Vishwavidyalaya, Sagar, M.P., India, under the prestigious DST INSPIRE Fellowship, further solidifying her commitment to contributing to the field of mathematics.

πŸ›οΈProfessional Endeavors

As a Research Scholar in the Department of Mathematics at Dr. Harisingh Gour Vishwavidyalaya, Ms. Keswani has engaged deeply in mathematical research, with a specific focus on inventory modeling and optimization, fuzzy stochastic modeling, metaheuristic algorithms, healthcare supply chain management, AI, IoT, and machine learning. Her role as a DST INSPIRE Fellow highlights her recognition as a promising researcher with the potential to make significant contributions to her field. In addition to her academic pursuits, Ms. Keswani serves as a reviewer for the “American Journal of Science, Engineering and Technology” by SciencePG Publishing, where she plays a crucial role in ensuring the quality and integrity of published research.

πŸ”¬Contributions and Research Focus

She research contributions are both extensive and impactful. Her published papers cover a range of topics within her specialization. Notably, her work on inventory models, such as the “Non-instantaneous controlled deteriorating inventory model for stock-price-advertisement dependent probabilistic demand under trade credit financing,” published in Opsearch, demonstrates her ability to address complex problems with practical applications. Her research often integrates interdisciplinary approaches, such as incorporating environmental factors and sustainability into inventory management, as seen in her paper on optimizing pricing and promotions in declining markets. Ms. Keswani’s research is characterized by its innovative approach to addressing contemporary challenges in inventory management, using advanced mathematical models and algorithms.

πŸ†Accolades and Recognition

Ms. Keswani’s academic excellence has been consistently recognized through various awards and accolades. Her six gold medals during her undergraduate studies are a testament to her academic brilliance. Additionally, her qualification in the State Eligibility Test (SET) in December 2023 further underscores her expertise in her field. The DST INSPIRE Fellowship she was awarded in 2021 is a prestigious recognition of her research potential and provides her with the necessary support to continue her work at an advanced level. Her contributions have also been recognized in academic conferences, where she has presented multiple papers, winning the Best Paper Award at the 3rd International Conference on the Role of Innovation, Entrepreneurship & Management for Sustainable Development.

πŸ“šImpact and Influence

Ms. Keswani’s work has a significant impact on the field of mathematics, particularly in the areas of inventory modeling and optimization. Her research addresses real-world problems faced by industries, particularly in supply chain management, and offers solutions that are both innovative and practical. By integrating concepts such as sustainability and environmental awareness into traditional inventory models, Ms. Keswani’s work pushes the boundaries of the field and opens new avenues for research. Her influence extends beyond academia, as her research findings have the potential to inform industry practices and policies, particularly in sectors that deal with perishable goods and require efficient inventory management strategies.

🌟Legacy and Future Contributions

Looking ahead, Ms. Keswani is poised to leave a lasting legacy in the field of mathematical sciences. Her ongoing Ph.D. research, combined with her previous contributions, positions her as a thought leader in inventory modeling and optimization. As she continues to explore new methodologies and applications, her work is expected to have a profound impact on both academia and industry. Ms. Keswani’s commitment to advancing mathematical research, coupled with her ability to address contemporary challenges, ensures that her contributions will be remembered and built upon by future generations of researchers. Her legacy will be one of innovation, excellence, and a deep commitment to advancing the field of mathematics.

πŸ“–Publications:

Paper Title: Non-instantaneous controlled deteriorating inventory model for stock-price-advertisement dependent probabilistic demand under trade credit financing

  • Authors: NH Shah, M Keswani, UK Khedlekar, NM Prajapati
  • Journal: Opsearch
  • Year: 2024

Paper Title: Optimizing pricing and promotions for sustained profitability in declining markets: A Green-Centric inventory model

  • Authors: M Keswani, U Khedlekar
  • Journal: Data Science in Finance and Economics
  • Year: 2024

Paper Title: Optimal inventory management strategies for sequentially convertible items with different distribution patterns: A comprehensive stochastic approach

  • Authors: M Keswani, UK Khedlekar
  • Journal: Numerical Algebra, Control and Optimization
  • Year: 2024

Paper Title: A stochastic inventory model with price-sensitive demand, restricted shortage and promotional efforts

  • Authors: UK Khedlekar, L Kumar, M Keswani
  • Journal: Yugoslav Journal of Operations Research
  • Year: 2023