Ms. Shalini Sharma - Queueing modelling - Best Researcher Award 🏆
Central University of Jammu - India
Professional Profiles
Early Academic Pursuits
She embarked on her academic journey with a strong foundation laid during her schooling years. Completing her Class 10th and 12th from CBSE, she exhibited a keen interest in mathematics and its applications. This interest led her to pursue her undergraduate studies at DAV (PG) College, where she obtained her Bachelor's degree in 2012. Building upon this, she furthered her academic pursuits and earned her Master's degree from the same institution in 2014.
Professional Endeavors
Her academic prowess and dedication led her to qualify for the prestigious National Eligibility Test (NET). Her exceptional performance also earned her the Junior Research Fellowship (JRF) and subsequently the Senior Research Fellowship (SRF) under the CSIR-UGC joint venture program. These accomplishments underscore her commitment to academic excellence and research endeavors. Queueing modeling finds applications in a wide range of fields, including telecommunications, healthcare, transportation, and manufacturing.
Contributions and Research Focus in Wastewater treatment
Currently enrolled in a Ph.D. program at the Central University of Jammu since 2019, Her research is centered on queueing modeling of machine repair problems. Her work delves into maintenance scheduling and service systems, addressing critical challenges in optimizing machine repair processes. By employing queueing models, she seeks to enhance the efficiency and effectiveness of maintenance operations, contributing significantly to the field of operations research and industrial engineering.
Queueing modelling of machine repair problems involves the application of mathematical and computational techniques to analyze and optimize the repair processes of industrial machinery. This interdisciplinary field combines concepts from operations research, industrial engineering, and stochastic processes to improve maintenance scheduling and service efficiency. In queueing modeling, systems are represented using mathematical models that capture the behavior of entities as they move through the system. These models typically include parameters such as arrival rates, service rates, and the number of servers or resources available. By manipulating these parameters and applying various analytical techniques, researchers can gain insights into the behavior of the system and identify opportunities for improvement.
Accolades and Recognition
Her contributions to the field have not gone unnoticed. Her exceptional research work has garnered acclaim, evident from her selection for the Best Researcher Award in Queueing Modeling. This recognition underscores her proficiency and expertise in tackling complex problems related to machine repair and maintenance scheduling.
Queueing theory serves as a fundamental framework for understanding the flow of tasks and resources within repair systems, enabling the identification of bottlenecks and the design of effective maintenance strategies. Through simulation modeling and performance evaluation, queueing models help organizations streamline their repair operations, reduce costs, and enhance overall equipment reliability.
Impact and Influence
Through her research endeavors, She aims to make a meaningful impact on real-world applications, particularly in the realm of industrial operations and service systems. By developing robust queueing models, she envisions optimizing maintenance processes, reducing downtime, and enhancing overall productivity in various industrial settings. Her work has the potential to revolutionize maintenance practices, leading to cost savings and improved operational efficiency.