Selcuk University - Turkey
AUTHOR PROFILE
GOOGLE SCHOLAR
SUMMARY
İlkay Çınar is a dynamic assistant professor and AI researcher dedicated to harnessing the power of artificial intelligence for practical solutions in agriculture, healthcare, and safety systems. Through academic excellence, research innovation, and committed mentorship, he continues to shape both technology and the minds that will drive its future.
EARLY ACADEMIC PURSUITS
İlkay Çınar began his academic journey in computer and electronics systems education, earning dual bachelor's degrees from Selçuk University in 2012 and 2018. His foundational years were marked by a growing fascination with artificial intelligence and image processing. He continued to explore machine learning in applied domains through his master’s research, focusing on classifying rice varieties using AI. His doctoral work on semantic image inpainting using deep generative models established his early dedication to pushing the boundaries of machine learning in visual computing.
PROFESSIONAL ENDEAVORS
As an academic at Selçuk University’s Department of Computer Engineering, İlkay Çınar advanced through the ranks from lecturer to assistant professor. He taught both undergraduate and graduate courses such as Image Processing, Web Architecture, and Smart Factory Systems. His work also included administrative leadership, serving as Deputy Director of the Distance Education Center. Throughout, he contributed to national research projects, emphasizing AI’s real-world applications across industries.
CONTRIBUTIONS AND RESEARCH FOCUS
Dr. Çınar’s research centers on deep learning, machine learning, and their applications in agriculture, healthcare, and industry. His prolific publication record—spanning from automatic quality control in food processing to the detection of eye diseases and diabetes—demonstrates a commitment to interdisciplinary innovation. He has explored CNN, LSTM, and hybrid models, often with a focus on feature optimization, transfer learning, and mobile deployment, making his research impactful beyond academic circles.
ACCOLADES AND RECOGNITION
İlkay Çınar has published extensively in high-impact journals such as Computers and Electronics in Agriculture, Biomedical Signal Processing and Control, and European Food Research and Technology. His scholarly output includes more than 25 peer-reviewed international journal articles, numerous conference proceedings, and authored book chapters. His expertise has been acknowledged through active participation in prestigious conferences and ongoing collaborative projects, including TUBITAK-funded studies.
IMPACT AND INFLUENCE
Dr. Çınar’s research contributes significantly to societal needs by addressing challenges like food safety, medical diagnostics, and industrial automation. His supervised theses involve real-world issues, such as workplace safety violations and disease detection, underlining his mentorship’s practical value. He is helping shape a new generation of AI practitioners capable of integrating technological innovations with community needs.
LEGACY AND FUTURE CONTRIBUTIONS
Looking forward, İlkay Çınar is poised to continue advancing the integration of AI in health, agriculture, and environmental monitoring. His interdisciplinary focus positions him as a key figure in expanding the real-world applicability of deep learning in Turkey and beyond. His work on smart agriculture, medical image analysis, and automated quality assessment will likely have lasting impacts on both research and industrial sectors
NOTABLE PUBLICATIONS
Title: Classification of rice varieties with deep learning methods
Authors: M. Koklu, I. Cinar, Y.S. Taspinar
Journal: Computers and Electronics in Agriculture
Title: Classification of rice varieties using artificial intelligence methods
Authors: I. Cinar, M. Koklu
Journal: International Journal of Intelligent Systems and Applications in Engineering
Title: Classification of Date Fruits into Genetic Varieties Using Image Analysis
Authors: M. Koklu, R. Kursun, Y.S. Taspinar, I. Cinar
Journal: Mathematical Problems in Engineering
Title: Classification and analysis of pistachio species with pre-trained deep learning models
Authors: D. Singh, Y.S. Taspinar, R. Kursun, I. Cinar, M. Koklu, I.A. Ozkan, H.N. Lee
Journal: Electronics
Title: Identification of Rice Varieties Using Machine Learning Algorithms
Authors: I. Cinar, M. Koklu
Journal: Journal of Agricultural Sciences (Tarım Bilimleri Dergisi)
Title: Classification of Raisin Grains Using Machine Vision and Artificial Intelligence Methods
Authors: I. Cinar, M. Koklu, S. Tasdemir
Journal: Gazi Mühendislik Bilimleri Dergisi (GMBD)