02Research
My research connects machine learning with movement, prediction, and the structure of real-world problems.
Academic foundation
My academic background brings together Industrial Engineering and an M.Sc. in Data Science and Big Data at Yıldız Technical University. My thesis explored how deep learning can recognize boxing actions and predict the next one.
I’m interested in the point where scientific understanding becomes a working computational method.
Research on tour demand forecasting using a multimodal General Regression Neural Network model.
33rd Signal Processing and Communications Applications Conference (SIU) · IEEE
Source: English
View the paperBased on my M.Sc. thesis research: boxing action recognition and next-action prediction combining image classification, pose-based spatiotemporal graph modeling, and sequence learning.
Grad Symposium 2025 · Yıldız Technical University · Istanbul
Source: Turkish · Original title: Hibrit Derin Öğrenme Modeli ile Sanal Hakem Sistemi
View the recordICMECE 2022 · Computer vision · Face recognition
ICMECE 2022 · NLP · Zero-shot classification
Ongoing interests
Areas I want to explore further, alongside my current engineering and research work.