Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

M.B. Shah

PhD student
Bioelectronics (BE), Department of Microelectronics

Biography

Mustafeez hails from the Himalayan region of Kashmir. He obtained his Bachelor's Degree in Electronics from the National Institute of Technology, Srinagar, India in 2020, followed by a Master's Degree in Electrical Engineering from TU Delft in 2022. Subsequently, he contributed to research at Microsoft Quantum, Delft, working as a Nanofabrication Engineer, where his work focused on fabricating high-yield quantum devices for the development of a scalable quantum computer based on topological qubits. Currently affiliated with the Department of Bioelectronics since April 2024, his primary research pursuits center on leveraging organic bioelectronic devices for applications in stem cell engineering/regenerative medicine.

Publications

  1. 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

  2. Copper Nanoparticle Sintering Enabled Hermetic Packaging With Fine Sealing Ring for MEMS Application
    Dong Hu; Mustafeez Bashir Shah; Jiajie Fan; Sten Vollebregt; Guoqi Zhang;
    IEEE Transactions on Electron Devices,
    Volume 70, Issue 11, pp. 5818-5823, 2023. DOI: 10.1109/TED.2023.3312066

  3. Data portability for activities of daily living and fall detection in different environments using radar micro-Doppler
    Shah, Syed Aziz; Tahir, Ahsen; Le Kernec, Julien; Zoha, Ahmed; Fioranelli, Francesco;
    Neural Computing and Applications,
    Jan 2022. DOI: 10.1007/s00521-022-06886-2

  4. Data Compression versus Signal Fidelity Trade-off in Wired-OR ADC Arrays for Neural Recording
    Pumiao Yan; Nishal P. Shah; Dante G. Muratore; Pulkit Tandon; E. J. Chichilnisky; Boris Murmann;
    In IEEE Biomedical Circuits and Systems Conference (BioCAS),
    2022. DOI: 10.1109/BioCAS54905.2022.9948677

  5. Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper
    N.M.S. de Groot; D. Shah; P.M. Boyle; E. Anter; G.D. Clifford; I. Deisenhofer; T. Deneke; P. van Dessel; O. Doessel; P. Dilaveris; F.R. Heinzel; S. Kapa; P. Lambiase; J. Lumens; P.G. Platonov; T. Ngarmukos; J.P. Martinez; A. Sanchez; Y. Takahashi; B.P. Valdigem; A.J. van der Veen; K. Vernooy; R. Casado-Arroyo;
    EP Europace,
    pp. 1-18, December 2021. DOI: https://doi.org/10.1093/europace/euab254
    document

  6. Radar sensing for healthcare
    Fioranelli, Francesco; Shah, Syed Aziz; Li, Haobo; Shrestha, Aman; Yang, Shufan; Le Kernec, Julien;
    ELECTRONICS LETTERS,
    Volume 55, Issue 19, pp. 1022-1024, SEP 19 2019. DOI: 10.1049/el.2019.2378

  7. Radar for Health Care: Recognizing Human Activities and Monitoring Vital Signs
    F. Fioranelli; J. Le Kernec; S. A. Shah;
    IEEE Potentials,
    Volume 38, Issue 4, pp. 16-23, 2019. DOI: 10.1109/MPOT.2019.2906977

  8. RF Sensing Technologies for Assisted Daily Living in Healthcare: A Comprehensive Review
    S. A. Shah; F. Fioranelli;
    IEEE Aerospace and Electronic Systems Magazine,
    Volume 34, Issue 11, pp. 26-44, 2019. DOI: 10.1109/MAES.2019.2933971

  9. Human Activity Recognition : Preliminary Results for Dataset Portability using FMCW Radar
    S. A. Shah; F. Fioranelli;
    In 2019 International Radar Conference (RADAR),
    pp. 1-4, 2019. DOI: 10.1109/RADAR41533.2019.171307

BibTeX support

Last updated: 2 Apr 2024

Mustafeez Bashir Shah