Faculty Member
- Qualification
Ph.D
- Designation
Professor
- Thrust Area
Biomedical Signal Processing, Feature Extraction for Speech Recognition Applications, Man Machine Communication
- Address
Dept. of Electronics Engineering, Z. H. College of Engg. and Technology, A. M. U. Aligarh
- Mobile
9456667567
- Email
omar.farooq@amu.ac.in
- Time Table
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 285 papers in refereed academic journals & conference proceedings and steered 12 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).
- Recent Publications
Nausheen Ansari, Yusuf Khan, and Omar Farooq, “An optimized EEG-based intrinsic brain network for depression detection using differential graph centrality,” Biomed. Phys. Eng. Express 12, 2026, 015026, https://doi.org/10.1088/2057-1976/ae2689
A. Khan, M. Wajid, A. Srivastava, H. K. Meena and O. Farooq, "Contactless Vital Sign Monitoring on Edge Devices With Low-Complexity T-CNN and mmWave FMCW Radar," in IEEE Sensors Journal, vol. 25, no. 23, pp. 43117-43125, 1 Dec.1, 2025, doi: 10.1109/JSEN.2025.3621110. (Q1)
K Nugroho, DRIM Setiadi, E Zuliarso, A Sambas, O Farooq, “FeistelX network-based image encryption leveraging hyperchaotic fusion and extended DNA coding,” Egyptian Informatics Journal 31 (September), 100716, 2025, ISSN 1110-8665, Elsevier, https://doi.org/10.1016/j.eij.2025.100716 (Q1)
Salman Mohd Khan, Abid Ali Khan, Omar Farooq, “An early force prediction control scheme using multimodal sensing of electromyography and digit force signals,” Heliyon, Elsevier, vol. 10, issue 8, April 08, 2024 https://doi.org/10.1016/j.heliyon.2024.e28716
Md Shamshad Alam, Umamah Khan, Mohd Hasan, Omar Farooq, "Energy efficient FPGA implementation of an epileptic seizure detection system using a QDA classifier," Expert Systems with Applications, Volume 249, Part B, 2024, 123755, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2024.123755.
M. S. Alam, Y. Siddiqui, M. Hasan, O. Farooq and Y. Himeur, "Energy-Efficient FPGA Based Sleep Apnea Detection using EEG Signals," in IEEE Access, 2024, doi: 10.1109/ACCESS.2024.3374223.
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: 10.1002/eng2.12812
K Nugroho, I Nugroho, RIM Setiadi, O Farooq, “Improving Indonesian multietnics speaker recognition using pitch shifting data augmentation,” International Journal of Artificial Intelligence, 2023, vol. 12, no. 4, pp. 1901-1908
T. F. Zaidi and O Farooq, “EEG Sub-bands based Sleep Stages Classification using Fourier Synchrosqueezed Transform Features,” Expert Systems with Applications, vol. 212, 2023, 118752, https://doi.org/10.1016/j.eswa.2022.118752
N Rafiuddin, YU Khan, O Farooq, “A Novel Wavelet Approach for Multiclass iEEG Signal Classification in Automated Diagnosis of Epilepsy,” IEEE Transactions on Instrumentation and Measurement, 2022, doi: 10.1109/TIM.2022.3207799.
Salman Mohd Khan, Abid Ali Khan and Omar Farooq, “Pattern recognition of EMG signals for low level grip force classification,” Biomedical Physics & Engineering Express, Volume 7, Number 3, 2021, IOP Publishing Ltd, 065012
Salman Mohd Khan, Abid Ali Khan and Omar Farooq, “EMG based classification for pick and place task,” Biomedical Physics & Engineering Express, Volume 7, Number 3, 30 April 2021, IOP Publishing Ltd, 035021