Ömer Emeksiz

I'm a Master's student in Computer Science and Engineering at Koç University, advised by Metin Sezgin, Yücel Yemez and Engin Erzin. Previously, I completed my undergraduate studies in Electrical and Electronics Engineering at Marmara University in 2024.

I am also a researcher at IUI Lab, where my work focuses on brain-computer interfaces (BCIs), specifically detecting and predicting cybersickness in VR experiences through EEG signal processing, deep learning, and computer vision.

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This paper proposes a reinforcement learning-based industrial filling process to address limitations of PID controllers in practical cases, such as discrete action spaces, residual material overflow, and material properties affecting flow. By recording episodes, defining state-action pairs, and using rewards and penalties, the Monte Carlo method optimizes actions to minimize filling duration.