Yuksel Cakir

Yuksel Cakir is an Associate Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University. His research integrates electrical engineering principles with neuroscience and biomedical applications, focusing on computational modeling of brain dynamics in neurodegenerative diseases such as Parkinson’s and Alzheimer’s.

• Position: Associate Professor
• Institution: Istanbul Technical University
• Department: Electronics and Communication Engineering
• Location: ITU Ayazaga Campus, Istanbul, Turkey
• Email: cakiryu@itu.edu.tr
• ORCID: https://orcid.org/0000-0002-4238-8504

His primary research interests include computational neuroscience, neural synchronization, basal ganglia dynamics, alpha rhythm abnormalities, and the application of optimization methods in both biomedical and materials engineering. He employs hybrid computational models to study low-frequency fluctuations in Alzheimer’s and synchronization in Parkinson’s disease. Additionally, he applies genetic algorithms to parameter estimation in thermoplastic and epoxy resin modeling, demonstrating interdisciplinary expertise.

The most recent articles highlight a strong trend in integrating neuroscience with engineering: computational modeling of neural activity in Parkinson’s and Alzheimer’s diseases, analysis of thalamocortical rhythms, and optimization techniques in materials science. His work bridges neural electrophysiology with machine learning-inspired optimization, showing a dual focus on biomedical and mechanical applications.

He received a publication incentive award from Istanbul Technical University on June 1, 2018, recognizing his scholarly output. This award was shared across academic networks and cited in peer review platforms, indicating institutional and academic visibility.

There is no public information regarding student mentorship, grant funding, or leadership in specific research labs or teams. However, his consistent publication record and interdisciplinary approach suggest active research engagement. He has no listed former affiliations or part-time status, indicating a full-time, current faculty role.