Kasım Erdem

Kasım Erdem serves as a Researcher in the Department of Mechanical Engineering at Istanbul Technical University's College of Engineering. His work focuses on advanced thermal systems and nanofluid applications, with significant contributions to heat transfer enhancement methodologies.

His primary research interests span Nanofluid Engineering, Heat Transfer Enhancement, and Artificial Neural Network applications in thermal systems. Erdem specializes in predicting thermophysical properties of nanofluids, optimizing cooling systems, and developing integrated methodologies for thermal efficiency improvement. His fingerprint analysis reveals strong activity in nanofluid flow dynamics, hybrid nanofluid characterization, and specific heat prediction.

Recent publications demonstrate a clear trend toward machine learning applications in thermal engineering, particularly using artificial neural networks to model complex nanofluid behaviors. His 2021-2025 research output shows consistent focus on experimental validation of computational models for both single-phase and nanofluid-based cooling systems.

• h-index: 27 (Scopus)
• Total Citations: 27

Erdem maintains active research collaborations across international networks, with particular emphasis on nanofluid applications in thermal management systems. His Scopus profile indicates significant readership engagement (51+ Mendeley readers) and citation impact across four major publications.