MSc A. Akhoundi

PhD student
Bioelectronics (BE), Department of Microelectronics

Themes: Health and Wellbeing


Arash Akhoundi was born in Iran in 1992. He received the BSc degree in electrical engineering from the University of Tehran and the MSc degree in electrical engineering from the Sharif University of Technology, in 2015 and 2018 respectively. From 2018 to 2022 he was working as a Digital Signal Processing and FPGA Engineer. He is currently working towards a Ph.D. degree in the Section Bioelectronics of the Microelectronics Department of the Delft University of Technology. His research interests include massive parallel neural interfaces data compression and signal processing.


  1. A Power-Efficient Oscillatory Synchronization Feature Extractor for Closed-Loop Neuromodulation
    Yassin, Hoda; Akhoundi, Arash; Hasaneen, El-Sayed; Muratore, Dante G;
    IEEE Transactions on Circuits and Systems II - Express Briefs,
    January 2024. DOI: 10.1109/TCSII.2024.3353927

  2. Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording
    Pumiao Yan; Arash Akhoundi; Nishal P Shah; Pulkit Tandon; Dante G Muratore; EJ Chichilnisky; Boris Murmann;
    IEEE transactions on biomedical circuits and systems,
    July 2023. DOI: 10.1109/TBCAS.2023.3292058

  3. A Low-Power Oscillatory Feature Extraction Unit for Implantable Neural Interfaces
    Hoda Yassin; Arash Akhoundi; El-Sayed Hasaneen; Dante G Muratore;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    2023. DOI: 10.1109/ISCAS46773.2023.10181914

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Last updated: 18 Oct 2022

Arash Akhoundi