Abdussamet Subaşı

Abdussamet Subaşı is an Associate Professor at the Department of Mechanical Engineering, Istanbul Technical University (ITU), located at the ITU Ayazaga Campus in Istanbul, Turkey. His research focuses on thermal engineering, fluid dynamics, and the application of artificial intelligence in optimizing heat transfer systems and fluid flow problems.

Key research interests include nanofluids, multi-objective optimization, heat sink design, and the development of advanced control systems using fuzzy logic and PID controllers. He has contributed to projects involving deep learning for flow field prediction around bluff bodies and genetic algorithms for mini-channel heat exchanger optimization.

Subaşı leads or co-leads several projects, including the TUSAŞ AKADEMİ initiative (2024–2029) focused on adjoint optimization for IGBT module cooling designs and a project on renewable energy-based electrical generators (2016–2018). His work often bridges computational modeling with practical engineering solutions, leveraging machine learning and optimization techniques to enhance thermal systems.

Publications highlight his expertise in predicting nanofluid properties via neural networks, optimizing heat exchangers, and improving flow control mechanisms. His research has garnered notable citations and collaborations, reflecting his contributions to both academic and applied engineering domains.