Imperial College London

DrDeren YusufBarsakcioglu

Faculty of EngineeringDepartment of Bioengineering

Research Associate







U421Sir Michael Uren HubWhite City Campus





Dr Deren Barsakcioglu is a research associate at Department of Bioengineering at Imperial College London. He received B.Sc. degree in Electrical and Computer Engineering from University of Texas at Austin, and M.Sc. in Analogue and Digital Integrated Circuit Design at Imperial College London in 2010 and 2011, respectively. He later joined Next Generation Neural Interfaces research group at Imperial College where he received his PhD in biomedical circuits and systems in 2016.

Following his PhD, Dr Barsakcioglu was awarded EPSRC Doctoral Prize Fellowship and worked as a Research Associate in Next Generation Neural Interfaces research group at the Department of Electrical and Electronic Engineering. In October 2017, he joined Farina Group at Department of Bioengineering where he currently carries out research on neural signal processing for spike sorting and electrophysiological decoding of human movements in upper limb prosthesis control.

Dr Barsakcioglu's main research interest is developing technologies for human-machine interfacing. His research focuses on biomedical signal processing, machine learning and real-time embedded systems.



Koutsoftidis S, Barsakcioglu DY, Petkos K, et al., 2022, Myolink: A 128-Channel, 18 nV/√Hz, Embedded Recording System, Optimized for High-Density Surface Electromyogram Acquisition, Ieee Transactions on Biomedical Engineering, Vol:69, ISSN:0018-9294, Pages:3389-3396

Lubel E, Sgambato BG, Barsakcioglu DY, et al., 2022, Kinematics of individual muscle units in natural contractions measured <i>in vivo</i> using ultrafast ultrasound, Journal of Neural Engineering, Vol:19, ISSN:1741-2560

Bracklein M, Barsakcioglu DY, Ibanez J, et al., 2022, The control and training of single motor units in isometric tasks are constrained by a common input signal, Elife, Vol:11, ISSN:2050-084X

Bracklein M, Barsakcioglu DY, Del Vecchio A, et al., 2022, Reading and modulating cortical beta bursts from motor unit spiking activity, Journal of Neuroscience, Vol:42, ISSN:0270-6474


Hasbani MH, Barsakcioglu DY, Jung MK, et al., 2022, Simultaneous and proportional control of wrist and hand degrees of freedom with kinematic prediction models from high-density EMG., Pages:764-767

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