dr. A Rashidi

Postdoc
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.

Biography

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.

Projects history

Moore4Medical

Accelerate Innovation in emerging medical devices with open technology platforms

  1. Low-cost shaping of electrical stimulation waveforms for bioelectronic medicine with improved efficiency and selectivity
    Amin Rashidi; Francesc Varkevisser; Vasiliki Giagka; Tiago L. Costa; Wouter A. Serdijn;
    In in Proc. 9th Dutch Biomedical Engineering Conf. (BME) 2023,
    January 2023.
    document

  2. An Ultrasonically Powered System Using an AlN PMUT Receiver for Delivering Instantaneous mW-Range DC Power to Biomedical Implants
    Amin Rashidi; Marta Saccher; Cyril Baby Karuthedath; Abhilash Thanniyil Sebastian; Alessandro Stuart Savoia; Frederik Lavigne; Frederic Stubbe; Ronald Dekker; Vasiliki Giagka;
    In In Proc. IEEE Int. Ultrasonics Symposium (IUS) 2023,
    IEEE, pp. 1-4, 2023.
    document

  3. Phase Distribution Efficiency of cm-Scale Ultrasonically Powered Receivers
    Marta Saccher; Amin Rashidi; Alessandro Stuart Savoia; Vasiliki Giagka; Ronald Dekker;
    In In Proc. IEEE Int. Ultrasonics Symposium (IUS) 2023,
    2023.
    document

  4. A Comparative Study of Si3N4 and Al2O3 as Dielectric Materials for Pre-Charged Collapse-Mode CMUTs
    Marta Saccher; Rob van Schaijk; Shinnosuke Kawasaki; Johan H. Klootwijk and Amin Rashidi; Vasiliki Giagka; Alessandro Stuart Savoia; Ronald Dekker;
    In in Proc. IEEE Int. Ultrasonics Symposium (IUS) 2023,
    2023.
    document

  5. Evaluating the Influence of PMUT Mechanical Support Properties on Power Conversion Efficiency in Ultrasonically Powered Implants
    Alessandro Stuart Savoia; Domenico Giusti; Carlo Prelini; Alberto Leotti; Marta Saccher; Amin Rashidi; Vasiliki Giagka; Marco Ferrera;
    In in Proc. IEEE Int. Ultrasonics Symposium (IUS) 2023,
    2023.

  6. Delta-Sigma Control Loop For Energy-Efficient Electrical Stimulation with Arbitrary-Shape Stimuli
    Amin Rashidi; Hassan Rivandi; Milos Grubor; Andre Agostinho; Valter Sadio; Marcelino Santos; Wouter Serdijn; Vasiliki Giagka;
    In in Proc. IEEE Biomedical Circuits and Systems Conference (BioCAS) 2023,
    2023.
    document

  7. Galvanic Brain-Coupled Communication Among Freely Floating Micro-Scale Implants
    Matteo Pola; Vasiliki Giagka; Wouter A. Serdijn; Danilo Demarchi; Amin Rashidi;
    In in Proc. IEEE Biomedical Circuits and Systems Conference (BioCAS) 2023,
    2023.
    document

  8. 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
    document

  9. 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.
    document

BibTeX support

Last updated: 11 Jan 2024