Çağdaş Topçu received his bachelor’s degree in electrical engineering (control and automation speciality) from Yıldız Technical University and his master’s degree in electrical and electronics engineering from Akdeniz University.
Between 2013 and 2015 he worked as a research scientist on the project “Rehabilitation of patients with arm and face transplantation and trauma patients with functional electrical stimulation” with professors of plastic and reconstructive surgery, neurology and electrical and electronics engineering.
In May 2016, he started his PhD project titled “Exploring cardiac phase response curve in health prognoses” and it is jointly supervised by Prof. Maximilian Moser at Medizinischen Universität Graz and Professors Michael Rosenblum and Arkady Pikovsky at Universität Potsdam.
Hilmi Uysal, Çağdaş Topçu, Özlenen Özkan, Ömer Özkan, Ebru Barçın, Arzu Akgül, Merve Bedeloğlu, Ela Naz Döğer, Refik Sever, Övünç Polat, Ömer Halil Çolak “Electrophysiological evaluation of emotional expressions in the facial transplantation patients”. Clinical Neurophysiology, 127(3), e127, 2016 LINK
Deschle N., Devalle F., Goldschmidt J., Pietras B., Topcu, C. “Identification of dynamics – oscillations, synchronization and the Kuramoto model”. 2nd COSMOS Workshop, Amsterdam, Dec. 2016 Talk
Topcu, C., et al. “Muscle Activity Detection for Basic Movements in Patients with Full Face Transplantation.” 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. 2015. (Poster)
Uysal, H., et al. “Electrophysiological Investigation of Emotional Expression in Facial Transplantation Patients.”31th National Congress on Clinical Neurophysiology EEG-EMG, KNK EEG-EMG 2015. 2015.
Topcu, C., et al. “Entropy analysis of surface EMG for classification of face movements.”23th Signal Processing and Communications Applications Conference (SIU), 2015. IEEE, 2015.
Bedeloglu, M., Topcu, C., Doger, E. N., Akgul, A., Sever, R., Ozkan, O., … & Halil Colak, O. (2015, October). Image based analysis of emotional expression development in facial transplant patient. In Medical Technologies National Conference (TIPTEKNO), 2015 (pp. 1-5). IEEE.
Topcu, C., et al. “Higuchi fractal dimension analysis of surface EMG signals and determination of active electrode positions.” Biomedical Engineering Meeting (BIYOMUT), 2014 18th National. IEEE, 2014.
Akgul, A., et al. “Investigation of active channels in multi-channel surface arm EMG recordings for 24 different movements.” Biomedical Engineering Meeting (BIYOMUT), 2014 18th National. IEEE, 2014.