Raiha Imran | Mathematics | Academic Innovator Young Achiever Award

Published on by Young Scientists Awards

Ms. Raiha Imran | Mathematics | Academic Innovator Young Achiever Award

Ms. Raiha Imran is an accomplished MPhil scholar in Mathematics at Riphah International University, Lahore, Pakistan, with a strong focus on fuzzy set theory and its applications in decision-making and mathematical modeling. Her research explores innovative solutions in the Fuzzy framework, including the development of Bonferroni mean operators for circular intuitionistic fuzzy sets and their applications in multi-criteria group decision-making. Raiha has published multiple high-quality research papers in reputed journals, addressing topics such as interval-valued intuitionistic fuzzy information, neutrosophic hesitant fuzzy aggregation operators, and distance measures for intuitionistic fuzzy hypersoft sets with practical applications like air quality evaluation. She has received 126 citations for her work, with an h-index of 5, reflecting her impactful contributions to the field. Raiha completed her Master’s degree in Mathematics from Riphah International University with a focus on fuzzy set theory and her Bachelor’s degree from Lahore Garrison University, where she also investigated multi-attribute group decision-making under cubic intuitionistic fuzzy soft environments. Her academic foundation is complemented by earlier schooling under the BISE Lahore and Faisalabad boards, achieving excellent grades throughout. Raiha’s research interests encompass generalizations of fuzzy sets, aggregation operators, similarity and distance measures, entropy measures, pattern recognition, cluster analysis, artificial intelligence, neuro computing, and data sciences. She has collaborated internationally with scholars from India, Serbia, Saudi Arabia, and Taiwan. Beyond research, Raiha has experience teaching mathematics and physics at both intermediate and matriculation levels, contributing to educational development. She has earned several certifications, participated in international conferences, and gained skills in data analysis and machine learning, reflecting her commitment to continuous learning. Raiha combines rigorous analytical expertise with a passion for advancing applied mathematics, aiming to develop innovative methodologies and decision-support tools that bridge theoretical research with practical applications, demonstrating dedication, intellectual curiosity, and a proactive approach to academic excellence.

Featured Publications

1. Imran, R., Ullah, K., Ali, Z., & Akram, M. (2024). A multi-criteria group decision-making approach for robot selection using interval-valued intuitionistic fuzzy information and Aczel-Alsina Bonferroni means. Spectrum of Decision Making and Applications, 1(1), 1–32.

2. Saqlain, M., Riaz, M., Imran, R., & Jarad, F. (2023). Distance and similarity measures of intuitionistic fuzzy hypersoft sets with application: Evaluation of air pollution in cities based on air quality index. Journal Name, Volume(Issue), pages.

3. Imran, R., Ullah, K., Ali, Z., & Akram, M. (2024). An approach to multi-attribute decision-making based on single-valued neutrosophic hesitant fuzzy Aczel-Alsina aggregation operator. Neutrosophic Systems with Applications, 22, 43–57.

4. Imran, R., Ullah, K., Ali, Z., Akram, M., & Senapati, T. (2023). The theory of prioritized Muirhead mean operators under the presence of complex single-valued neutrosophic values. Decision Analytics Journal, 7, 100214.

5. Imran, R., & Ullah, K. (2023). Circular intuitionistic fuzzy EDAS approach: A new paradigm for decision-making in the automotive industry sector. Spectrum of Engineering and Management Sciences, 3(1), 76–92