Research Description

Dr. Hasan Karaburk’s research interests focus on the application of Artificial Intelligence and data-driven methods to support intelligent decision-making in organizational, educational, and business environments. His work emphasizes the use of machine learning, predictive analytics, and statistical modeling to transform complex data into actionable insights that enhance performance, efficiency, and strategic planning.

At WUST, Dr. Karaburk contributes to interdisciplinary research initiatives that bridge AI, data science, and information systems, supporting applied research aligned with institutional priorities in digital transformation, analytics-driven innovation, and workforce development. His research interests are particularly relevant to projects involving enterprise analytics, technology adoption, and AI-enabled decision-support systems.

Research Interests (Detailed)

Machine learning models for business and organizational analytics

Predictive modeling and forecasting

Data-driven decision support systems

AI-enabled performance evaluation

Technology adoption and digital transformation

Analytics education and curriculum innovation

Professional & Academic Contributions

Participation in interdisciplinary research initiatives at WUST

Contribution to applied research projects supporting AI adoption

Engagement in curriculum development for analytics and AI-focused programs

Support for grant-oriented research activities through data analysis expertise