Atilla SUNCAK

Dr. Atilla SUNCAK serves as an Assistant Professor in the Department of Computer Technologies at Kastamonu University's Vocational School, where he has held academic positions since 2014. Initially appointed as a Lecturer until 2025, he was promoted to his current rank in 2025. His expertise spans artificial intelligence applications with a specialized focus on Turkish language processing.

His academic credentials include:

• PhD in Computer Engineering, Dokuz Eylül University (2016-2022)
• MSc in Computer Engineering, Dokuz Eylül University (2012-2016)
• BSc in Computer Engineering, Dokuz Eylul University (2007-2012)

Dr. SUNCAK's research concentrates on Artificial Intelligence, Data Mining, and Machine Learning with distinctive emphasis on Natural Language Processing for Turkish. His work develops computational methods for detecting defective expressions in Turkish sentences and implements machine learning solutions across diverse domains including hospitality analytics and environmental education through mobile applications.

His 11 publications since 2014 demonstrate consistent advancement in Turkish NLP, with recent works (2023-2025) focusing on deep learning optimization for language understanding. The research trajectory shows increasing sophistication in hyperparameter tuning and hybrid modeling approaches while expanding into practical applications like tree species identification and customer satisfaction prediction.

No scientific awards or honors are documented in his academic record.

While he has not supervised any thesis students, Dr. SUNCAK contributed as a researcher to the TÜBİTAK-funded project 'ÇAGRISIM: Educational Game for Developing Turkish and the Individual' (2013-2015). His teaching portfolio encompasses 104 courses including Object-Oriented Programming, Data Mining, and Mobile Programming.

He maintains active research collaborations with Özlem Aktaş (9 joint publications), Çağdaş Can Birant (3 publications), and emerging partnerships with Fatma Selin Sak and Hilal Öztay Çağan, focusing on interdisciplinary applications of NLP and educational technology.