Gazi Koçak

Gazi Koçak serves as an Assistant Professor in the Department of Marine Engineering at Istanbul Technical University, Istanbul. His research focuses on energy efficiency optimization, machine learning applications for marine systems, and advancing marine engineering education. With an active publication record including two 2024 journal articles and an h-index of 6 (Scopus), he contributes significantly to maritime technology innovation.

His research spans energy efficiency analysis of ship power plants, condition monitoring of marine diesel engines using machine learning, marine refrigeration systems, and mechatronics integration in engineering curricula. Key themes address EEXI compliance, exergy efficiency at partial loads, fault diagnosis algorithms, and bridge navigation monitoring—critical for modern environmental and safety standards in shipping.

Recent publications (2022-2024) demonstrate a strong shift toward data-driven methodologies, combining traditional marine engineering with AI techniques for predictive maintenance and operational efficiency. This includes motion heatmap generation for bridge watches and machine learning-based fault diagnosis systems.

Kocak has led two major research projects: 'Condition Monitoring of Ship Machinery with Machine Learning Method' (2018-2021) and 'Machine Learning Method for Bridge Watch Officer Behavior Analysis' (2019-2022). He has supervised two research works, reflecting active mentorship in marine engineering, though specific student names and grant details remain undisclosed.