Department of Electronics Engineering
Prof. Omar Farooq
|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|
|Email :||firstname.lastname@example.org; ORCID: orcid.org/0000-0002-4648-2733|
|Telephone :||Ph: +91 571 2721148|
|Joining Date :||1992-09-28|
|Nature of association :||Regular|
|Time Table :||Click to View|
|Download :||Click here to download study materials|
Omar Farooq joined 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 one year UKIERI postdoctoral fellowship in 2007-08. His broad area of research interest is signal processing with specialization in speech recognition. Currently he is working in the area of biomedical signal processing on three collaborative research projects. He has authored/coauthored over 220 papers in refereed academic journals & conference proceedings and steered 7 researchers to PhD graduation. He is a Fellow, Acoustical Society of India (ASI) and Fellow of Institution of Electronics and Telecommunication Engineer (IETE), India. He is also a Senior Member, Institute of Electrical and Electronics Engineers, (IEEE, USA).
G. Chandel, P. Upadhyaya, O. Farooq and Y. U. Khan, "Detection of Seizure Event and Its Onset/Offset Using Orthonormal Triadic Wavelet Based Features," doi: https://doi.org/10.1016/j.irbm.2018.12.002 IRBM, Volume 40, Issue 2, pp. 103-112, 2019.
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.
Prashant Upadhyaya, Omar Farooq, M R Abidi, "Mel scaled M-band wavelet filter bank for speech recognition" International Journal of Speech Technology, Springer Vol. 21, Issue 4, pp. 797-807, 2018
Syed S. Ahmed, Siddharth Bhardwaj, Md. Kalim Ansari, Omar Farooq, Abid Ali Khan, "Role of 1.5 mm microplates in treatment of symphyseal fracture of mandible: A stress analysis based comparative study" Journal of Oral Biology and Craniofacial Research, doi: 10.1016/j.jobcr.2017.03.009, pp. 119-122, 2017
Y. V. Varshney, Z. A. Abbasi, M. R. Abidi, O. Farooq "Frequency Selection Based Separation of Speech Signals with Reduced Computational Time Using Sparse NMF" Archives of Acoustics Vol. 42 No. 2, pp. 287-295, 2017.
Nidal Rafiuddin, Md. Tabrez, Yusuf Uzzaman Khan, and Omar Farooq, "Wavelet packet-based classification of brain states during English and mother tongue script writing", International Journal of Biomedical Engineering and Technology, Vol. 22, No. 4, pp. 325-337, 2016.
Prashant Upadhyaya, Omar Farooq, Musiur Raza Abidi and Priyanka Varshney, "Comparative Study of Visual Feature for Bimodal Hindi Speech Recognition", Archives of Acoustics, 40, 4, pp. 609-619, 2015 DOI: 10.1515/aoa-2015-0061.
Yusuf U Khan and Omar Farooq, "Wavelet-based multi-class discrimination of EEG for seizure detection", International Journal Biomedical Engineering and Technology, Vol. 19, No. 3, 2015, pp. 266-278, DOI: 10.1504/IJBET.2015.072996.
Muhammed Izharuddin, Omar Farooq, Qasim Rafiq, "Partial encryption of ECG with reduced complexity and its FPGA implementation", International Journal of Biomedical Engineering and Technology, Vol. 17, No. 4, 2015, pp. 398-417, DOI: http://dx.doi.org/10.1504/IJBET.2015.069407
Priyanka Sharma, Yusuf Uzzaman Khan, Omar Farooq, Manjari Tripathi, and Hojjat Adeli, "A Wavelet-Statistical Features Approach for Nonconvulsive Seizure Detection", Journal of Clinical EEG and Neuroscience, Sage Publication, October 2014, vol. 45, pp. 274-284, 2014, doi: 10.1177/1550059414535465.
M Bedeeuzzaman, T Fathima, YU Khan, O Farooq, "Seizure prediction using statistical dispersion measures of intracranial EEG", Biomedical Signal Processing and Control, Elsevier, http://dx.doi.org/10.1016/j.bbr.2011.03.031, Volume 10, pp. 338–341,2014.