Soniya Gupta | Multi-Criteria Decision Making | Best Researcher Award

Ms. Soniya Gupta: Multi-Criteria Decision Making

Ms. Soniya Gupta 🌟 is a dynamic researcher πŸ§ͺ with a passion for Multi-Criteria Decision Making. Motivated by a positive outlook and armed with strong analytical skills, Soniya embarked on a journey to join the academic community πŸ“š. Eager to learn from and collaborate with the most skilled professionals, she aspires to contribute to organizational growth while crafting a fulfilling career in research and development πŸš€. With an insatiable curiosity and development abilities, Soniya Gupta is dedicated to making impactful strides in her chosen field. 🌐

Professional Profiles:

Google Scholar


πŸŽ“ Soniya Gupta is an accomplished scholar 🌟 currently pursuing a Ph.D. in Applied Mathematics from the esteemed Dehradun Institute of Technology. Under the guidance of Dr. Dheeraj Joshi, Assistant Professor in the Department of Mathematics, her research delves into the fascinating realm of “Study of fuzzy set theory in the linguistic and probabilistic environment” 🧠. Prior to her doctoral journey, Soniya earned her M.Sc. in Applied Mathematics with first-division honors (73.75%) from Choudhary Charan Singh University, Meerut. She laid the academic foundation with a stellar B.Sc. (Physics, Chemistry, Mathematics) degree, achieving first division with an impressive 72.4%. πŸ“š


πŸ‘©β€πŸ« Soniya Gupta, a versatile academician, has showcased her dedication to education through various roles at DIT Dehradun. As a Tutor for Engineering Mathematics-I (MAF 101) from September 2021 to January 2023, she imparted knowledge and guided students. Serving as the Course Coordinator for Remedial Mathematics (BP106 RMT) from September 2022 to January 2023, Soniya played a pivotal role in academic support. Her commitment continued as a Tutor for Mathematics (MAF 202) and Lab Tutor for Statistics (SAF 216, 217) and C Programming language and MS Office (MAF 109) courses from January to May 2023. Beyond academics, she actively participated in Mathematics Subject Association and engaged in quiz competitions and seminars. πŸ“šπŸ‘©β€πŸ’»

Research Interest:

🧠 Soniya Gupta’s research passion revolves around Fuzzy Sets and Multi-Criteria Decision Making (MCDM). 🌐 Delving into the intricacies of fuzzy sets, she explores the dynamic realm where uncertainty and imprecision play a pivotal role. With a keen interest in MCDM, Soniya is committed to unraveling effective decision-making methodologies, especially in complex and uncertain environments. Her work aims to bridge gaps in understanding decision processes by incorporating fuzzy logic and criteria optimization. πŸ’‘ By merging these fields, she strives to contribute innovative solutions for tackling decision-making challenges, adding clarity to ambiguous scenarios. πŸš€

Conference & Workshop:

🌐 Soniya Gupta, a prolific researcher, has showcased her expertise through paper presentations at prestigious conferences. At the 2ⁿᡈ International Conference on Applied Mathematics & Computational Sciences (ICAMCS-2022), she enlightened the audience on the “TOPSIS Method for Decision Making Problems Under Interval-valued Intuitionistic Fuzzy Environment.” Additionally, at the 4𝒕𝐑 National Conference on Recent Advancements in Physical Sciences (NCRAPS2022), Soniya presented on the β€œORESTE approach for sustainable supplier selection problem with probabilistic dual hesitant fuzzy information.” Her contributions extended to the 3𝐫𝐝 International Conference on Computer Vision and Robotics (CVR 2023) and the 2𝐧𝐝 International Conference on Renewable Power (ICRP-2023), exploring applications in pattern recognition and renewable energy systems. πŸ“βœ¨ Soniya’s commitment to continuous learning is evident in her participation in workshops like the 5-Day International Workshop on β€œOptimization Techniques in Industrial and Engineering Applications (IWOTIEA)” and the 40-hour online faculty development program on β€œOptimization Techniques: Theory, Practice, and Emerging Applications.” πŸ› οΈπŸ“š

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