معرفی
Xiaolu Wang is a University Lecturer at the School of Business, Faculty of Social Sciences, Business and Law, at Åbo Akademi University, Finland. She is actively engaged in interdisciplinary research at the intersection of data science, artificial intelligence, and business applications.
Her research interests focus on:
- Applications of Large Language Models in data analysis
- Fintech, particularly peer-to-peer lending and secondary markets
- Fraud detection using fuzzy clustering and machine learning
- Valuation under uncertainty using fuzzy logic models
- Digital innovation and policy evaluation, including pandemic response measures
Her recent publications show a strong trend toward integrating AI and data mining frameworks like CRISP-DM into business and social challenges. She frequently contributes to international conferences such as IEEE FUZZ and WorldCIST, with a focus on practical applications of computational intelligence.
Her work contributes to the UN Sustainable Development Goal 9: Industry, Innovation, and Infrastructure.
She has collaborated with researchers such as József Mezei, Christer Carlsson, and Anna Sell. While no formal advising or grant information is listed, her research output demonstrates consistent scholarly activity over the past decade.
