General Information

Institutional Information: Faculty Of Applied Sciences, Department Of Management Information Systems, Department Of Information Management
WoS Research Areas: Social Sciences (Soc), Computer Science, Social Sciences General, Medical Informatics, Computer Science Artificial Intelligence, Engineering Computing & Technology (Eng)
Scopus Research Areas: General Social Sciences, Health Informatics, Artificial Intelligence, General Computer Science
Avesis Research Areas: Computer Sciences, Artificial Intelligence, Computer Learning and Pattern Recognition, Evolutionary Computing, Pattern Recognition and Image Processing, Neural Networks, Biomedical Engineering, Biomedical Image Processing, Biomedical Image Processing, Engineering and Technology
Metrics

Publication

58

Publication (WoS)

21

Publication (Scopus)

20

Citation (WoS)

144

H-Index (WoS)

6

Citation (Scopus)

294

H-Index (Scopus)

7

Citation (Scholar)

679

H-Index (Scholar)

13

Citation (TrDizin)

24

H-Index (TrDizin)

3

Citation (Sobiad)

8

H-Index (Sobiad)

1

Citation (Sum Other)

679

Total Citation Count

679

Project

7

Thesis Advisory

5

Open Access

24
UN Sustainable Development Goals
Biography

Dr. Kerim Kürşat ÇEVİK was born in Karaman, Turkey, in 1985. He received his B.S. degree in Electronics and Computer Sciences from Süleyman Demirel University in 2007, and his M.S. (2010) and Ph.D. (2016) degrees in Computer Engineering from Selçuk University. He began his academic career as a lecturer at Niğde University in 2009, becoming an Assistant Professor in 2017. He joined the Department of Management Information Systems at Akdeniz University in 2018 and received the title of Associate Professor in 2021.

With over 15 years of experience in Computer Vision and Deep Learning, Dr. Çevik recently completed a tenure as a Visiting Researcher at the University of Nevada, Las Vegas (UNLV), focusing on real-time automated tissue perfusion tracking systems.

His research interests center on advanced hybrid models (such as Swin Transformers and U-Net) applied to biomedical imaging, agriculture, and management sciences. He currently teaches courses in AI, image processing, and machine learning. Dr. Çevik serves as a peer reviewer for top-tier journals and has authored numerous publications with over 600 citations and an h-index of 13.

Contact
Email
kcevik@akdeniz.edu.tr
Web Page
http://www.kursatcevik.com
Office Phone
+90 242 227 4400 Extension: 3570
Address
Akdeniz Üniversitesi Uygulamalı Bilimler Fakültesi Yönetim Bilişim Sistemleri Bölümü Konyaaltı/ANTALYA