Baisakhi Banik
Papers
1
Total Citations
8
H-Index
1
About
Dr. Baisakhi Banik is a distinguished researcher at the intersection of artificial intelligence, decision science, and financial technology. Her primary research areas include multi-criteria decision-making (MCDM), neutrosophic logic, and the application of intelligent systems in digital banking. Dr. Banik’s most cited work, “Digital Banking Chatbots related MCDM Problem by TODIM Strategy in Pentagonal Neutrosophic Arena” (2022, 8 citations), introduces a novel framework that integrates TODIM—a robust MCDM method—with pentagonal neutrosophic sets to evaluate and optimize chatbot performance in the banking sector. This contribution addresses the growing need for 24/7 automated customer service by providing a mathematically rigorous approach to assessing chatbot effectiveness under uncertainty. Her work bridges theoretical advances in fuzzy logic with practical fintech applications, offering banks a strategic tool for enhancing user experience and operational efficiency. Dr. Banik’s research is particularly notable for its interdisciplinary reach, combining computational intelligence with real-world banking challenges. As a rising voice in neutrosophic decision analysis, she continues to shape how financial institutions leverage AI-driven solutions, making her work essential reading for researchers and practitioners in intelligent systems and digital finance.
Research Focus
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Top Papers
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