Özgün Turgut

Özgün Turgut

PhD Student

Technical University of Munich

Özgün Turgut is a Ph.D. student at the Department of Neurology and the Institute of Artificial Intelligence in Medicine at the Technical University of Munich (TUM). He completed his masters in Electrical Engineering and Information Technology at TUM and the University of Technology Sydney, Australia. In his previous projects, he worked on machine learning models for in-vitro diagnostic devices that allow for low-cost, high-throughput haematology analysis in clinical practice. Currently, he is developing multimodal AI to analyse medical time series data, including electroencephalography (EEG) and electrocardiography (ECG) signals.

Interests

  • Signal processing
  • Self-supervised learning
  • Multimodal AI

Education

  • Electrical Engineering and Information Technology (M.Sc.), 2021

    Technical University of Munich

  • Electrical Engineering and Information Technology (M.Sc.), 2019

    University of Technology Sydney, New South Wales, Australia

  • Electrical Engineering and Information Technology (B.Sc.), 2019

    Technical University of Munich

  • Management & Technology (B.Sc.), 2016

    Technical University of Munich