Füsun Recal

Füsun Recal is an Assistant Professor at the Faculty of Engineering and Natural Sciences in Işık University, specializing in Industrial Engineering. Her academic career spans multiple disciplines, including Machine Learning, Decision Science, and Artificial Intelligence.

• Education: PhD in Occupational Safety and Health (2015-2022) from Yıldız Technical University, MSc in Industrial Engineering (2007-2009) from Bahçeşehir University, and dual Master's degrees in Education (Assessment and Measurement) and Technology from Kent State University (2009-2011).

Her research focuses on applying advanced analytical methods to occupational safety and risk management. Recent work includes comparative studies of machine learning techniques for accident severity prediction and hybrid models like DEMATEL combined with grey system theory for risk analysis in industries such as shipbuilding.

Key trends in her publications emphasize predictive modeling, decision support systems, and systematic risk assessment frameworks. These contributions highlight her expertise in bridging data-driven methodologies with practical safety engineering solutions.