dr. A Rashidi

Bioelectronics (BE), Department of Microelectronics

Expertise: Analog and Mixed-Mode Integrated Circuits and systems For Biomedical Applications, Power management Circuits for Biomedical Implants, Ultrasonically Powered Microsystems, Implantable microstimulators.

Themes: Analog and Mixed-Mode Integrated Circuits and Systems, Neuroprosthetics, - stimulation and -modulation, Wireless Power Transfer, Power Management and Energy Harvesting


Amin Rashidi was born in Tehran, Iran, in 1989. He received the B.Sc. and M.Sc. degrees in electrical engineering both from K. N. Toosi University of Technology, Tehran, Iran, in 2011 and 2014, respectively. He was also with K. N. Toosi University of Technology, as a Laboratory Instructor from 2012 to 2014. From 2014 to 2017, he was with R&D department of Mega-Motor Company, Tehran, Iran, as an Electronic Systems Designer. Concurrently, he was also with the Research Laboratory for Integrated Circuits and Systems (ICAS) at K. N. Toosi University of Technology as an Associate Researcher. Since Dec. 2017, he is working toward his Ph.D. Degree in Integrated Circuit and Electronics Laboratory (ICE-LAB) at Aarhus University, Aarhus, Denmark. He has joined the Bioelectronics group at Delft University of Technology, Delft, The Netherlands as a post-doctoral researcher, since Dec. 2020. He has been served as a reviewer for IEEE journals and international conferences like IEEE TCAS-I journal, BioCAS conference, and ICECS conference, for a couple of years. His current research focus is on integrated circuits & systems design for biomedical implants.


Accelerate Innovation in emerging medical devices with open technology platforms

  1. Energy Savings of Multi-Channel Neurostimulators with Non-Rectangular Current-Mode Stimuli Using Multiple Supply Rails
    K. Kolovou-Kouri; A. Rashidi; F. Varkevisser; W.A. Serdijn; V. Giagka;
    In proc. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),
    Glasgow, UK, IEEE, pp. 3443-3446, July 2022. DOI: 10.1109/EMBC48229.2022.9871145

  2. Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation
    Francesc Varkevisser; Amin Rashidi; Tiago L. Costa; Vasiliki Giagka; Wouter A. Serdijn;
    In Proc. IEEE Biomedical Circuits and Systems Conference (BioCAS) 2022,
    IEEE, October 2022.

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Last updated: 8 Feb 2023