Dr. Sahiba Khan

Dr. Sahiba Khan is a finance academic specialising in fintech, behavioural finance, and financial analytics. She holds a PhD from IIIT Allahabad, with research focused on digital lending ecosystems, investor behaviour, and platform selection, using analytical techniques such as NLP, SEM, MCDM, and SNA. 

Her work spans areas including peer-to-peer lending, crypto-asset sentiment, fintech adoption, and lending risk prediction. She combines data-driven research with applied finance perspectives, bringing an analytics-led approach to teaching and academic practice.

Before joining UPES, Dr. Khan was a Research Scholar at IIIT Allahabad (2021–2025), where she contributed to teaching assistance, research, and academic coordination. She was involved in national workshops, summer schools, and mentoring activities.

Fintech; peer-to-peer lending; behavioural finance; sentiment analysis; crypto-assets; technology adoption; financial analytics.

Her teaching approach focuses on conceptual clarity and analytical application, integrating case studies, real-world financial scenarios, and data-driven tasks. 

She aims to build critical thinking, ethical decision-making, and industry-relevant financial skills in an interactive learning environment.

Auditing and Assurance; Direct Taxes; Financial Institutions and Markets; Accounting and Finance courses. 

She also serves as course lead and mentors students on academic and applied finance projects.

Qualified UGC-NET JRF (Commerce). Holds a granted design patent titled “Peer-to-Peer Sentiment Analysis Device” (2025). Published 10+ papers in SSCI, SCIE, ABDC, and Scopus-indexed journals, including Q1/Q2 outlets. 

Dr. Khan’s research focuses on fintech, behavioural finance, and digital lending, using advanced methods such as NLP, machine learning, SEM, and MCDM. She has published in Scopus and Web of Science-indexed journals and presented at platforms including IEEE and Springer conferences. 

She has edited the book Case Studies on Behavioral Finance and continues to work on AI-driven risk prediction, sentiment modelling, and fintech adoption frameworks, contributing to interdisciplinary and industry-relevant research.

sahiba.khan@ddn.upes.ac.in