Ms. Diptirekha Sahoo’s research interests primarily revolve around the intersection of mathematics and decision-making methodologies, with a particular focus on fuzzy optimization and multi-criteria decision-making (MCDM) methods. Her academic pursuits delve into the application of fuzzy set theory and related mathematical techniques to real-world problems, aiming to develop innovative solutions for complex decision-making scenarios. Specifically, Ms. Sahoo is interested in exploring the theoretical foundations and practical applications of fuzzy optimization techniques in domains such as engineering, finance, and operations research. Additionally, her research agenda includes investigating novel approaches to address multi-criteria decision-making problems in uncertain and imprecise environments, leveraging methodologies such as fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). Through her research endeavors, Ms. Sahoo seeks to advance the understanding of fuzzy systems and their practical implications, contributing to the development of robust decision support tools and frameworks that can effectively handle ambiguity and uncertainty in decision-making processes.