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Dr Kerim Ture
1010 Roberts Building, Malet Place
Department of Electronic and Electrical Engineering
University College London
United Kingdom
Dr Kerim Ture profile picture
  • Research Fellow
  • Dept of Electronic & Electrical Eng
  • Faculty of Engineering Science
I am a Research Fellow in the Bioelectronics Group at the Department of Electrical & Electronic Engineering, University College London. I received PhD degree from Ecole Polytechnique Federale de Lausanne (EPFL) in Microsystems and Microelectronics in 2019. I received my MSc degree in Electrical and Electronic Engineering from EPFL in 2014.  I received my BSc double major degrees in Electrical and Electronic Engineering and Physics (both with high honour) from Bogazici University in 2012.
Research Summary
My research interests include analogue/mixed-signal/RF integrated circuit (IC) design for biomedical applications. I develop circuits and systems for new wearable and implantable technologies to analyse and improve health conditions. My current research themes include:

  • Low power, low noise IC design for sensor readouts
  • Highly efficient power management circuits design for remotely powered implantable devices
  • Low power, high data-rate wireless communication circuits design

Selected publications:

  • K. Ture, C. Dehollain, and F. Maloberti, Wireless Power Transfer and Data Communication for Intracranial Neural Recording Applications. Cham: Springer International Publishing, 2020. doi: 10.1007/978-3-030-40826-8.

  • A. Uran, K. Ture, C. Aprile, A. Trouillet, F. Fallegger, A. Emami, S. P. Lacour, C. Dehollain, Y. Leblebici, V. Cevher, “A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS,” in 2021 IEEE Custom Integrated Circuits Conference (CICC), Apr. 2021, pp. 1–2. doi: 10.1109/CICC51472.2021.9431458.

  • K. Ture, A. Devos, F. Maloberti, and C. Dehollain, “Area and Power Efficient Ultra-Wideband Transmitter Based on Active Inductor,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 10, pp. 1325–1329, Oct. 2018, doi: 10.1109/TCSII.2018.2853190.

  • C. Aprile, K. Ture, L. Baldassarre, M. Shoaran, G. Yilmaz, F. Maloberti, C. Dehollain, Y. Leblebici, V. Cevher, “Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 11, pp. 3929–3941, Nov. 2018, doi: 10.1109/TCSI.2018.2853983.

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