Yozgat Bozok University Computer Engineering Department | Turkey
Dr. Gökalp Çınarer is an Assistant Professor in the Department of Computer Engineering at Yozgat Bozok University. His expertise lies in artificial intelligence, machine learning, image processing, and deep neural networks. Over the years, he has contributed significantly to the academic community with applications of AI in diverse fields, including medicine, agriculture, food technologies, and environmental analysis.
Professional profile👤
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ORCID
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Strengths for the Awards✨
- Diverse Research Portfolio: Dr. Çınarer has made significant contributions across multiple domains — medicine, agriculture, food technologies, and environmental analysis — leveraging artificial intelligence and machine learning, showcasing versatility and cross-disciplinary impact.
- High Research Output: With over 50 publications indexed in SCI-Expanded, SSCI, and Scopus, his research output is impressive, indicating a consistent contribution to advancing knowledge in computer engineering and AI applications.
- Innovative Work in Medical Imaging: His PhD thesis on brain tumor detection through image processing and classification algorithms reflects a critical application of AI in medical diagnostics, directly contributing to healthcare advancements.
- Academic Leadership: As Head of the Department of Information Processing and Computer Engineering Software at Yozgat Bozok University, Dr. Çınarer plays a pivotal role in shaping academic programs, guiding research initiatives, and mentoring students.
- Teaching Excellence: He teaches a broad range of courses, including Machine Learning, Deep Learning, and Artificial Intelligence Applications, fostering the next generation of AI researchers and practitioners.
🎓 Education
Dr. Çınarer earned his PhD in Computer Engineering from Kırıkkale University between 2017 and 2021. His doctoral research focused on “Detection of Brain Tumors with Image Processing Techniques and Analysis with Classification Algorithms.”
💼 Experience
Since 2021, Dr. Çınarer has been serving as the Head of the Department of Information Processing and the Head of the Department of Computer Engineering Software at Yozgat Bozok University. He teaches undergraduate and graduate courses, including Machine Learning, Deep Learning, Python Programming, Algorithm Analysis, and Artificial Intelligence Applications.
Dr. Çınarer’s research interests encompass artificial intelligence, machine learning, image processing, and deep neural networks. His work delves into AI applications across various fields such as medicine, agriculture, food technologies, and environmental analysis.
🏆 Awards
Dr. Çınarer has been recognized for his pioneering work in artificial intelligence and its applications across multiple disciplines, earning accolades for his contributions to AI-driven medical analysis and agricultural technologies.
📚 Publications
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Classification of brain tumors by machine learning algorithms
Authors: G Çınarer, BG Emiroğlu
Year: 2019
Citations: 74
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Prediction of Glioma Grades Using Deep Learning with Wavelet Radiomic Features
Authors: G Çınarer, BG Emiroğlu, AH Yurttakal
Year: 2020
Citations: 57
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Öğretmenlerin Teknolojik Araçlarla Eğitime Yönelik Tutumlarının Çeşitli Değişkenlere Göre İncelenmesi Yozgat İli Örneği
Author: G Çınarer
Year: 2016
Citations: 27
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Classification of hazelnuts according to their quality using deep learning algorithms
Authors: N Erbaş, G Çınarer, K Kiliç
Year: 2022
Citations: 21
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A comparative study on segmentation and classification in breast mri imaging
Authors: AH Yurttakal, H Erbay, T İkizceli, S Karacavus, G Çinarer
Year: 2018
Citations: 21
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Brain Tumor Classification Using Deep Neural Network
Authors: G Çınarer, BG Emiroğlu, RS Arslan, AH Yurttakal
Year: 2020
Citations: 16
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Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector
Authors: G Çınarer, MK Yeşilyurt, Ü Ağbulut, Z Yılbaşı, K Kılıç
Year: 2024
Citations: 11
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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference
Authors: G Çınarer, C Kahraman, S Cebi, SC Onar, B Oztaysi, AC Tolga, IU Sari
Year: 2021
Citations: 9
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Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks
Authors: AH Yurttakal, H Erbay, G Çınarer, H Baş
Year: 2021
Citations: 8
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A Deep Transfer Learning Framework For The Staging Of Diabetic Retinopathy
Authors: G Çınarer, K Kılıç, T Parlar
Year: 2022
Citations: 6
📄 Conclusion
Dr. Gökalp Çınarer stands at the forefront of AI research, leveraging machine learning and image processing to solve complex problems in medicine, agriculture, and environmental science. His work continues to inspire advancements in interdisciplinary fields and pave the way for future innovations.
