Regular biography
Dr Bikesh Raj Upreti is a Lecturer in Business Information Systems at the University of Queensland, School of Business. His research interests lie in applied computational methods and quantitative inquiry of interdisciplinary phenomena. He has applied advanced machine learning, deep learning, and other analytical tools for large-scale behavioural and predictive analytics in areas such as Information systems, marketing, finance, and political discourses. His work has been published in several journals and peer-reviewed conference proceedings, and he actively serves as a reviewer for various journals and conferences.
Scholar-generated biography
Bikesh Upreti is a researcher at The University of Queensland (Business School) specializing in analytics, machine learning, statistics, text mining, and Information Systems. His work explores the application of data-driven techniques to understand complex phenomena, such as trust in cryptocurrencies, political bot detection, and the impact of air pollution on tourism. Upreti also investigates the ethical implications of blockchain technology in finance and the role of IT in transforming consumer behavior. His research emphasizes the use of advanced analytical methods to derive actionable insights from large-scale data, contributing to both academic and practical domains in Information Systems.