Mehmet Özgür Sahin

Mehmet Özgür Sahin works in experimental particle physics, primarily as part of the large CMS collaboration at CERN, focusing on analyzing high-energy particle collisions from the Large Hadron Collider and developing detector hardware and readout systems. Much of the recent work involves applying machine learning and AI methods (such as generative adversarial networks, deep learning, and support vector machines) to problems like particle detection, anomaly detection, and reconstructing particle showers in calorimeters. A few older or unrelated publications also touch on topics like geotechnical engineering and logistics, suggesting some involvement in collaborative or interdisciplinary projects outside the main physics focus.

Publication output has grown substantially over the last decade, rising from about 20-25 papers per year in 2017-2019 to roughly 50-80 per year in recent years, consistent with large-scale collaborative physics experiments.

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