ACADEMIC ADVISOR

THESIS SUBJECT

Prof. Dr. H. Emrah Ünalan

·         2D nanostructures for wearable sensors

·         Nanomaterials for triboelectric nanogenerators

Dr. Öğr. Üyesi  Şeniz Uçar

·         Value-added products from waste conversion

Prof. Dr. Y.Eren Kalay

·         Defect Analysis and Passivation in MCT/CZT Systems 

Prof. Dr. C. Hakan Gür

·         Integrating Artificial Intelligence in Non-destructive Evaluation

Bilgi: Non-destructive Evaluation (NDE) is essential in numerous industries from aerospace to oil/gas. It involves inspecting materials, components, and assemblies to identify defects or discontinuities that might lead to failure without damaging the original part. The criticality of NDE lies in its ability to assure safety and reliability in operations, especially in fields where failure can have catastrophic results. In recent years, the integration of Artificial Intelligence (AI) has revolutionized the field of NDE. These developments have caused paradigm shifts in inspection and data analysis. AI's capacity to analyze complicated data and recognize patterns improves the accuracy and efficiency of NDE processes. For example, AI-powered image processing can detect faults that are invisible to the human eye, and predictive analysis aids in detecting potential failures.

Doç. Dr. Simge Çınar Aygün

·         Suspension flow batteries

·          Photothermal applications of liquid metal-derived BiSn particles

·          Composites containing liquid metal-derived BiSn particles

Dr. Öğr. Üyesi Çiğdem Toparlı

·         High entropy materials for Li-ion batteries (burslu)

·         Multi-component sulfides for solid-state batteries (burslu)

·         Surface enhancement of metal-ion batteries (burslu)