Fatih Furkan ARSLAN
Research Assistant, Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture · Yozgat Bozok University
Research Interests
Deep Learning, YOLO-based Object Detection, Medical Signal Processing, Time-Series Analysis (IMU Data), Embedded Systems Design (ESP32), Sensor Integration, Computer Vision Applications
Biography
Fatih Furkan Arslan is a Research Assistant and Ph.D. student in the Department of Electrical and Electronics Engineering at Yozgat Bozok University, Turkey. He received his B.Sc. degree from Istanbul University and completed his M.Sc. at Yozgat Bozok University. His research focuses on artificial intelligence, deep learning, and computer vision, particularly on object detection and image classification. He works on YOLO-based models, segmentation techniques such as the Segment Anything Model (SAM), and deep learning architectures including ResNet, EfficientNet, and MobileNet. He is also involved in embedded system design using ESP32 and time-series data analysis from IMU sensors. His current research aims to develop efficient and high-performance AI-based solutions for real-world engineering applications.
Education
B.Sc. in Electrical and Electronics Engineering, Istanbul University M.Sc. in Electrical and Electronics Engineering, Yozgat Bozok University Ph.D. Student in Electrical and Electronics Engineering, Yozgat Bozok University
Recent Google Scholar Publications
- Simulation of infant suction vacuum pressure using WGAN
- Derin öğrenme tabanlı bebek emme benzetimi
Links
- ORCID https://orcid.org/0000-0001-7887-7951
- Google Scholar https://scholar.google.com/citations?user=EyWJlXgAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None