
معرفی
Ersan Yazan serves as an Assistant Professor in the Department of Computer Engineering at the Faculty of Engineering, Adiyaman University, Turkey. He joined the university in December 2011 as a lecturer at Besni Vocational School and has since advanced through academic ranks, achieving his current position effective February 2025.
Educational Background:
- Doctorate (2016-2024): Inonu University, Faculty of Engineering, Department of Computer Engineering
- Master's Degree (2013): Firat University, Faculty of Engineering, Department of Computer Engineering
- Bachelor's Degree (2000-2007): Erciyes University, Faculty of Engineering, Department of Computer Engineering
Ersan Yazan's research spans machine vision, machine learning, deep learning, and brain-computer interaction. His work demonstrates significant expertise in optimization algorithms, image processing, and medical applications. Early research focused on stochastic gradient descent techniques and fabric defect detection, while recent publications emphasize medical image analysis, particularly in breast cancer detection and robot-assisted neurosurgery. His research consistently bridges theoretical computer science with practical applications across industrial and medical domains.
Yazan's publication history shows a clear progression from foundational work in computer vision toward specialized medical applications. His most recent work (2024) on frameless registration for robot-assisted brain surgery demonstrates his shift toward cutting-edge medical technology applications. His research integrates computer vision, machine learning, and robotics to solve complex problems in both industrial quality control and medical diagnostics.
As an educator, Yazan has taught numerous courses including System Analysis and Design, Web Design Fundamentals, Visual Programming, Network Fundamentals, and Microcontroller Applications across both associate and bachelor's degree programs. He previously served as Department Head from 2012 to 2018, demonstrating leadership within the academic structure.





