Mr. N. Krishnapraveen is an Indian mathematics researcher and Research Scholar in the Department of Mathematics at Annamalai University, Annamalainagar, Tamil Nadu, India. He holds an M.Sc. in Mathematics from Annamalai University and a B.Sc. in Mathematics from St. Joseph’s College of Arts & Science (Autonomous), Cuddalore. His research expertise focuses on Fuzzy Set Theory, Intuitionistic and Picture Fuzzy Sets, Fermatean Fuzzy Sets, q-Rung Orthopair Fuzzy Sets, Bipolar Complex Neutrosophic Models, Fuzzy Matrices, and Multi-Criteria Decision-Making (MCDM). His work particularly emphasizes TOPSIS methods, aggregation operators, similarity measures, uncertainty representation, and matrix-based decision-support frameworks. He also has computational expertise in Python-based numerical computation, matrix operations, algorithmic decision-support, sensitivity analysis, and reproducible research workflows, supported by proficiency in LaTeX and Overleaf.N. Krishnapraveen’s research connects mathematical modeling and uncertainty theories with practical applications in Sustainable Development Goals (SDGs), renewable energy, education, healthcare, marine sustainability, and AI-assisted technologies. His recent research contributions include bipolar complex neutrosophic matrix operations, similarity measures using cosine, Dice and Jaccard approaches, interval-valued fuzzy TOPSIS for SDG-oriented decision-making, q-rung orthopair fuzzy aggregation methods, and computational decision-support models. His publications and accepted research outputs have appeared in or been accepted by journals and conference proceedings in applied and engineering mathematics, including work applying fuzzy and neutrosophic models to SDG 3, SDG 4, SDG 14, and SDG 17. His interdisciplinary research profile makes him well suited for research and peer review in Applied Mathematics, Fuzzy Mathematics, Fuzzy Set Theory, Neutrosophic Mathematics, Multi-Criteria Decision-Making, Mathematical Modeling, Decision Science, Optimization, Computational Mathematics, Uncertainty Modeling, and Sustainable Development Applications.