About the Faculty Member
Bülent Yılmaz was born in Türkiye in 1974. In 1992, he was accepted to the Middle East Technical University (METU, Ankara), Department of Electrical and Electronics Engineering.
He graduated in 1997, and in 1999, defended his master's thesis and began his PhD in Bioengineering at the University of Utah in Salt Lake City, Utah.
In his doctoral thesis, he worked on the estimation of origin of the heart rhythm disturbance using statistical signal processing methods as a fellow of Whitaker Foundation.
Prof. Yılmaz started as an assistant professor in the department of biomedical engineering in 2004 at Baskent University, Ankara, Türkiye.
He was then invited to be one of the founders of Abdullah Gül University (AGU) in Kayseri, Türkiye in 2011. Her served as the department head, assistant dean,
education committee chair, advisor to the president and vice president responsible for educational processes at AGU between 2011 and 2022. He founded a startup company
on biomedical optics, was the PI of 4 and Co-PI of 3 Turkish NSF projects, served as the consultant to 3 companies. Prof. Yılmaz published 29 Journal Publications in Q1
and Q2 journals so far and supervised and is supervising a total of 26 MSc and PhD theses. He is the associate editor of Turkish Journal of Electrical Engineering and
Computer Sciences. So far he taught 19 different grad and undergrad courses on electrical engineering and biomedical engineering.
His main research areas are biomedical signal and image processing, machine learning/artificial intelligence, and brain-computer interfaces.
He has been serving as the panelist and referee in many academic or industry projects and journals.
He is currently serving as the founding head of Electrical and Computer Engineering (ECE) department at the College of Engineering and Architecture at
Gulf University for Science and Technology (GUST) in Kuwait.
Signals and Systems, Signal Processing, Image Processing, Biomedical Engineering Fundamentals, Machine Learning, Numerical Analysis/Scientific Computing, Global Issues
Biomedical signal and image processing, machine learning/artificial intelligence, and brain-computer interfaces