Enes Çelik is a dedicated Lecturer at Kırklareli University’s Babaeski Vocational School, where he has served since 2012. He holds a Ph.D. from Kocaeli University’s Institute of Science and Engineering (2018–2024), alongside earlier academic credentials including an M.S. in Computer Engineering from Hoca Ahmet Yesevi University (2016–2017) and a thesis-based M.S. in Computer-Control Education from Marmara University (2009–2011), where his research focused on the recognition of palm prints using artificial neural networks. His foundational studies began with a degree in Electronic and Computer Education from Marmara University (2005–2009), followed by a Computer Engineering undergraduate degree from Trakya University (2015–2016). Enes Çelik specializes in imaging and artificial intelligence technologies, with expertise spanning image processing, artificial neural networks, wavelet transformations, data mining, machine learning, support vector machines, expert systems, clustering, and classification. Among his notable scholarly contributions are internationally recognized publications such as “Skip‑Gram and Transformer Model for Session-Based Recommendation” (2024, SCI-indexed Q1).
Enes Çelik’s primary academic interests lie in the domains of information technology and artificial intelligence. His expertise encompasses a range of advanced computational methodologies including image processing artificial neural networks wavelet transformations data mining recommendation systems cyber security and machine learning
