DEPARTMENT.FACULTY

photo
Prof. Omar Farooq
  • DEPARTMENT_STAFF.QUALIFICATION

    Ph.D

  • DEPARTMENT_STAFF.DESIGNATION

    Professor

  • DEPARTMENT_STAFF.THRUST_AREA

    Biomedical Signal Processing, Feature Extraction for Speech Recognition Applications, Man Machine Communication

  • DEPARTMENT_STAFF.ADDRESS

    Dept. of Electronics Engineering, Z. H. College of Engg. and Technology, A. M. U. Aligarh

  • DEPARTMENT_STAFF.MOBILE

    9456667567

  • DEPARTMENT_STAFF.EMAIL

    omar.farooq@amu.ac.in

  • DEPARTMENT_STAFF.TIME_TABLE

    Time Table

DEPARTMENT_STAFF.COMPLETE_CV

Omar Farooq joined the Department of Electronics Engineering, AMU Aligarh as Lecturer in 1992 and is currently working as a Professor. He was awarded Commonwealth Scholar from 1999-2002 towards PhD at Loughborough University, UK, and a one-year UKIERI postdoctoral fellowship in 2007-08. His broad area of research interest is signal processing with a specialization in speech recognition. Currently, he is working in the area of biomedical signal processing. He has authored/coauthored over 275 papers in refereed academic journals & conference proceedings and steered 9 researchers to PhD graduation. He is a Fellow of Acoustical Society of India (ASI) and a Fellow of the Institution of Electronics and Telecommunication Engineer (IETE), India. He is also a Senior Member, Institute of Electrical and Electronics Engineers, (IEEE, USA).

  1. Publications
    1.  M. S. Alam, M. Hasan, O. Farooq, M. Hasan, “Field programmable gate array-based energy-efficient and fast epileptic seizure detection using support vector machine and quadratic discriminant analysis classifier,” Engineering Reports, 2023; e12812. doi:

    2. Tehreem Fatima Zaidi, Omar Farooq, "EEG Sub-bands based Sleep Stages Classification using Fourier Synchrosqueezed Transform Features" Expert Systems with Applications, Volume 212, February 2023, pp. 118752, https://doi.org/10.1016/j.eswa.2022.118752

    3. SM Khan, AA Khan, O Farooq, "Pattern recognition of EMG signals for low level grip force classification", Biomedical Physics & Engineering Express 7 (6), 065012, 2021,  https://doi.org/10.1088/2057-1976/ac2354.
    4. SM Khan, AA Khan, O Farooq, "EMG based classification for pick and place task", Biomed. Phys. Eng. Express, 7 (3), 035021, 2021, https://doi.org/10.1088/2057-1976/abfa81.
    5. R Khan, M Muzammil, O Farooq, "Design and fabrication of active noise control system for a grass cutter", Noise & Vibration Worldwide 52 (4-5), 86-92, 2021,  https://doi.org/10.1177/0957456521999833.
    6. KA Khan, PP Shanir, YU Khan, O Farooq, “A hybrid Local Binary Pattern and wavelets-based approach for EEG classification for diagnosing epilepsy”, Expert Systems with Applications 140, 112895, 2020, 
    7. SM Khan, AA Khan, O Farooq, “Selection of Features and Classifiers for EMG-EEG-Based Upper Limb Assistive Devices-A Review”, IEEE Reviews in Biomedical Engineering, vol. 13, pp. 248-260, 2020, 10.1109/RBME.2019.2950897.
    8. G. Chandel, P. Upadhyaya, O. Farooq and Y. U. Khan, "Detection of Seizure Event and Its Onset/Offset Using Orthonormal Triadic Wavelet Based Features,"  IRBM, Volume 40, Issue 2, pp. 103-112, 2019, doi: https://doi.org/10.1016/j.irbm.2018.12.002.
    9. Muhammed Shanir P P, Kashif Ahmad Khan, Yusuf U. Khan, Omar Farooq, Hojjath Adeli, “Automatic Seizure Detection Based On Morphological Features Using One Dimensional Local Binary Pattern On Long Term EEG” Journal of Clinical EEG and Neuroscience, Sage Publication.Volume: 49 Issue: 5, pp. 351-362, September 1, 2018
LISTDownloadUPLOADED DATE
Mid semester Marks EL662/ELE6420
25/10/2019
Sessional Marks
18/11/2019
Matlab Inroduction
04/02/2020
Single Sideband Modulation
01/04/2020
Home Assignment ELC2420
01/04/2020
VSB Scheme
08/04/2020
SHRR & Noise Analysis NPTEL Links
08/04/2020
Introduction to Mapping Toolbox
16/04/2020
Award List ELC2420
18/06/2020
Award List EL242
18/06/2020
Award List EL662
18/06/2020