Assist Prof Dr. Pelin Canbay | Artificial Intelligence | Best Researcher Award

Kahramanmaras Sutcu Imam University, Turkey

Professional Profiles:

👨‍🎓 Bio Summary:

Assist. Prof. Dr. Pelin Canbay is a dedicated researcher and educator in computer engineering, currently serving at Kahramanmaraş Sütçü İmam University. She holds a Ph.D. in computer science, with her research focusing on artificial intelligence, machine learning, and privacy-preserving technologies. Dr. Canbay has contributed significantly to fields such as authorship verification, privacy-sensitive AI systems, and healthcare applications. With numerous publications in prestigious international journals, she is recognized for her interdisciplinary approach to solving complex problems. In addition to her research, she actively mentors graduate students and plays a key role in university administration, contributing to both academic governance and quality assurance.

🎓 Educational Background:

Assist. Prof. Dr. Pelin Canbay earned her Ph.D. in 2020 with a thesis focused on author-independent authorship verification systems, building on her master’s thesis (2015) in the area of anonymity and data-sharing models for healthcare services. She completed her Bachelor’s degree in 2011 and has since developed a strong foundation in computer science, particularly in theoretical frameworks of computer engineering.

🔍 Research Focus:

Dr. Canbay’s research spans multiple areas, including artificial intelligence, machine learning, privacy-preserving technologies, and authorship verification. She has contributed significantly to applying AI in healthcare, privacy systems, and language processing, particularly in low-resource environments. Her work bridges the gap between technical innovation and practical applications, as seen in projects like privacy-sensitive AI for COVID-19 detection and big data architectures for author verification.

🏆 Honors & Awards:

Throughout her academic journey, Dr. Canbay has received recognition for her research efforts and contributions. She has led and participated in national research projects funded by higher education institutions, demonstrating her leadership and commitment to advancing knowledge in AI and data privacy.

💼 Professional Experience:

Dr. Canbay currently serves as an Assistant Professor at Kahramanmaraş Sütçü İmam University, where she also held a research assistant position from 2020 to 2022. Before that, she was a research assistant at Hacettepe University from 2012 to 2020. Her administrative roles include membership in the Quality Council and various commissions within the university’s Engineering Faculty, showcasing her active involvement in academic governance and quality assurance.

📚 Top Noted Publications :

Privacy Concerns and Measures in the Metaverse: A Review
Authors: Y. Canbay, A. Utku, P. Canbay
Citation: 2022 15th International Conference on Information Security and Cryptography
Index: 32
Year of Publication: 2022

The Effect of Clustering on Data Privacy
Authors: P. Canbay, H. Sever
Citation: 2015 IEEE 14th International Conference on Machine Learning and Applications
Index: 18
Year of Publication: 2015

Endüstri 5.0’a Doğru: Zeki Otonom Sistemlerde Etik ve Ahlaki Sorumluluklar
Authors: P. Canbay, Z. Demircioglu
Citation: AJIT-e: Bilişim Teknolojileri Online Dergisi, 12(45), 106-123
Index: 13
Year of Publication: 2021

Hate Speech and Offensive Content Identification with Graph Convolutional Networks
Authors: N. Bölücü, P. Canbay
Citation: FIRE (Working Notes), 44-51
Index: 11
Year of Publication: 2021

Deep Combination of Stylometry Features in Forensic Authorship Analysis
Authors: P. Canbay, E. Akcapinar Sezer, H. Sever
Citation: International Journal of Information Security Science, 9(3), 154-163
Index: 6
Year of Publication: 2020

Conclusion:

Pelin Canbay demonstrates strong qualifications for consideration in the Best Researcher Award. Her prolific publications, leadership in research projects, and interdisciplinary approach highlight her potential to make significant contributions to computer science and engineering. However, there is room for growth in international visibility, high-impact collaborations, and expanding the global reach of her research. If she continues to build on her current trajectory while addressing these areas for improvement, Canbay would be a strong candidate for future recognition as a leading researcher.