Zulfiqar Ali, Ph.D.

Bio: 
I have more than 16 years of working experience in renowned national and international institutions, including seven years of research and more than nine years of teaching. In addition, my role as a member of the board of studies in the GIFT University and the University of Gujrat was significant in design and approval of curriculums for bachelor and master degrees of computer science. I earned Ph.D. in Electrical and Electronics Engineering (major in Digital Signal Processing) from Universiti Teknologi PETRONAS (UTP), Malaysia. I obtained MS and M.Sc. degrees in Computer Science from the University of Engineering and Technology (UET), Lahore. I have a strong background in mathematics as I completed M.Sc. Mathematics in 2001 from the University of the Punjab, Lahore. I have throughout First Division in my education career. Since 2010, I am associated with King Saud University, Saudi Arabia, and doing research in the area of speech/speaker recognition, biomedical signal processing, cloud and multimedia for healthcare, security and privacy using encryption and watermarking, and multimedia forensics. I have more than 50 publications in high-quality impact factor journals and reputed international conferences. The cumulative impact factor of my 23 ISI journal publications according to 2016 journal citation report is more than 62. I have been involved in various scientific research projects funded by National Science Technology and Innovation Plan (NSTIP), King Abdul Aziz City for Science and Technology (KACST), Saudi Arabia. Under the scope of the projects, two speech databases have been recorded, and Linguistic Data Consortium (LDC), University of Pennsylvania, USA, published one of the databases.

Zulfiqar Ali

Digital Speech Processing Group
Department of Computer Engineering (P.O.Box 51178)
College of Computer and Information Sciences
King Saud University, Riyadh 11543, Saudi Arabia. 
Cell: +966590620332
Email: zuali@ksu.edu.sa, zulfiqarbutt2000@gmail.com

Research Interests:

  • Medical Signal Processing.
  • Speech Signal Processing.
  • Multimedia Forensics.
  • Noise Robust Automatic Speech Recognition.
  • Digital Image Processing.

Work Experience:

  • Digital Speech Processing Group, King Saud University, Riyadh, Saudi Arabia.
    • Oct 2010 to Present, Researcher, (I was on leave for some duration)
  • University of Gujrat, Gujrat, Pakistan. 
    • Mar 2009 to On Leave, Lecturer
  • GIFT University, Gujranwala, Pakistan.
    • Jan 2008 to Feb2009, Lecturer
  • COMSATS Institue of Information Technology, Lahore, Pakistan.
    • Jul 2006 to Jan 2008, Lecturer
  • GIFT University, Gujranwala, Pakistan.
    • Oct 2002 to Jul 2006, Lecturer
  • Mansoorah Degree College, Lahore, Pakistan.
    • Aug 2001 to Oct 2002, Lecturer

Education:

  • PhD in Electrical and Electronic Engineering (2017)

Centre for Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS (UTP), Malaysia.
Thesis Title: Pathology Assessment Method for Vocal Fold Disorders

  • Master of Science in Computer Science (2010)

University of Engineering and Technology, Lahore, Pakistan.
Thesis Title: A Confusion Matrix based Multiple Classifier System for Text-independent Speaker Identification System
Specialization: System Engineering

  • ​​Master of Computer Science (2007)

University of Engineering and Technology, Lahore, Pakistan.
Thesis Title: A Study of Voice Feature Vector Analysis Techniques for Speaker Identification

  • Master of Science in Mathematics (2000)University of the Punjab, Lahore, Pakistan.
  • Bachelor of Science (1998), University of the Punjab, Lahore, Pakistan.
     

Funded Projects:

Currently I am working on two projects funded by National Science Technology and Innovation Plan (NSTIP), King Abdul Aziz City for Science and Technology (KACST), Kingdom of Saudi Arabia.

1. Project Title: Computer-Aided Pronunciation Training System for Non-native Learners of theArabic Language

Under grant No.: 13-INF977-02 
Status: Approved 
Budget: 1.6 Million SAR

2. Project Title: Automatic voice Pathology Assessment

Under grant No.: 12-MED2474-02
Status: Continue
Budget: 2 Million SAR

3. Project Title: Arabic Speaker Recognition

Under grant No.: 08-INF167-02
Status: Completed  
Budget: 1 Million SAR
 

Speech Database:

Mansour Alsulaiman, Ghulam Muhammad, Mohamed A. Bencherif, Awais Mahmood, Zulfiqar Ali, King Saud University Arabic Speech Database, Catalogue No. LDC2014S02. Web Download. Philadelphia: Linguistic Data Consortium, 2014. ISBN 1-58563-669-X;
https://catalog.ldc.upenn.edu/LDC2014S02.

Journal Publications:

  1. Zulfiqar Ali, M. Shamim Hossain, Ghulam Muhammad and Ihsan Ullah, “Edge-Centric Multimodal Authentication System by Using Encrypted Biometric Templates”, Future Generation Computer Systems, 2018. DOI: 10.1016/j.future.2018.02.040 (ISI-IF: 3.997)
  2. Zulfiqar Ali, M. Shamim Hossain, Ghulam Muhammad and Arun Kumar Sangaiah, “An Intelligent Healthcare System for Detection and Classification to Discriminate Vocal Fold Disorders”, Future Generation Computer Systems, 2018. DOI: 10.1016/j.future.2018.02.021 (ISI-IF: 3.997)
  3. Amjad Ali, Ibrar Yaqoob, Ejaz Ahmed, Muhammad Imran, Kyung Sup Kwak, Adnan Ahmad, Syed Asad Hussain, and Zulfiqar Ali, “Channel Clustering and QoS Levels Identification Scheme for Multi-Channel Cognitive Radio Networks”, IEEE Communications Magazine, 2018. (In Press) (ISI-IF: 10.435)
  4. Zulfiqar Ali and Muhammad Talha, “Innovative Method for Unsupervised Voice Activity Detection and Classification of Audio Segments”, IEEE ACCESS, 2018. DOI: 10.1109/ACCESS.2018.2805845. (ISI-IF: 3.224)
  5. Zulfiqar Ali, Muhammad Imran, Mansour Alsulaiman, Tanveer A. Zia, and Muhammad Shoaib, “A Zero-Watermarking Algorithm for Privacy Protection in Biomedical Signals”, Future Generation Computer Systems, vol. 82, pp. 290-303, 2018. (ISI-IF: 3.997)
  6. Zulfiqar Ali, M. Shamim Hossain, Ghulam Muhammad and Muhammad Aslam, “New Zero-watermarking Algorithm Using Hurst Exponent for Protection of Privacy in Telemedicine”, IEEE Access, vol. 6, pp. 7930 – 7940, 2018. DOI:  10.1109/ACCESS.2018.2799604  (ISI-IF: 3.224)
  7. Wadood Abdul, Zulfiqar Ali, Sanaa Ghounzali, Mansour Alsulaiman, “Security and Privacy for Medical Images Using Chaotic Visual Cryptography”, Journal of Medical Imaging and Health Informatics. vol. 7, no. 6, pp. 1296-1301, 2017. (ISI-IF: 0.621)
  8. Zulfiqar Ali, Mansour Alsulaiman, Ghulam Muhammad, Irraivan Elamvazuthi, Ahmed Al-nasheri, Tamer A. Mesallam, Mohamed Farahat, and Khalid H. Malki, “Intra- and Inter-Database Study for Arabic, English, and German Databases: Do Conventional Speech Features Detect Voice Pathology?”, Journal of Voice, vol. 31, no. 3, pp. 386.e1-386.e8, 2017. (ISI-IF: 1.381)
  9. Zulfiqar Ali, Muhammad Imran, and Mansour Alsulaiman, “An Automatic Digital Audio Authentication/Forensics System”, IEEE Access, vol. 5, pp. 2994–3007, 2017. (ISI-IF: 3.224)
  10. Zulfiqar Ali, Ghulam Muhammad, and Mohammed F. Alhamid, “An Automatic Health Monitoring System for Patients Suffering from Voice Complications in Smart Cities”, IEEE Access, vol. 5, pp. 3900-3908, 2017. (ISI-IF: 3.224)
  11. Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, Mansour Alsulaiman, Zulfiqar Ali, Ahmed Al-nasheri, Ghulam Muhammad, “Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms,, Journal of Healthcare Engineering, vol. 2017, Article ID 8783751, 13 pages, 2017. (ISI-IF: 0.925)
  12. Zulfiqar Ali, Muhammad Talha and Mansour Alsulaiman, “A Practical Approach: Design and Implementation of a Healthcare Software for Screening of Dysphonic Patients”, IEEE Access, vol. 5, pp. 5844 - 5857, 2017. (ISI-IF: 3.224)
  13. Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali, Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, Ahmed Al-nasheri, and Mohamed A. Bencherif, "Voice Pathology Detection using Interlaced Derivative Pattern on Glottal Source Excitation," Biomedical Signal Processing and Control, Vol. 31, pp. 156–164, 2017. (ISI-IF: 2.214)
  14. Muhammad Imran, Zulfiqar Ali, Sheikh Tahir Bakhsh, Sheeraz Akram, “Blind Detection of Copy-Move Forgery in Digital Audio Forensics”, IEEE Access, vol. 5, pp. 12843 – 12855, 2017. (ISI-IF: 3.224)
  15. Wadood Abdul, Zulfiqar Ali, Sanaa Ghouzali, Budour ALfawaz, Ghulam Muhammad and M. Shamim Hossain, “Biometric Security Through Visual Encryption for Fog Edge Computing”, IEEE Access, vol. 5, pp. 5531 – 5538, 2017. (ISI-IF: 3.224)
  16. Ahmed Al-nasheri, Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali, Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, and Mohamed A. Bencherif, “An Investigation of Multidimensional Voice Program Parameters in Three Different Databases for Voice Pathology Detection and Classification”, Journal of Voice, vol. 31, no. 1, pp. 113.e9–113.e18, 2017. (ISI-IF: 1.381)  
  17. Ahmed Al-nasheri, Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali, “Investigation of Voice Pathology Detection and Classification on Different Frequency Regions Using Correlation Functions”, Journal of Voice, vol. 31, no. 1, pp. 3-15, 2017. (ISI-IF: 1.381)  
  18. Ahmed Al-nasheri, Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali, Khalid H. Malki, Tamer A. Mesallam, and Mohamed Farahat, “Voice Pathology Detection and Classification using Auto-correlation and entropy features in Different Frequency Regions”, IEEE Access, vol. 6. pp. 6961 – 6974, 2018. DOI: 10.1109/ACCESS.2017.2696056 (ISI-IF: 3.224)
  19. Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, Ghulam Muhammad, “Detection of Voice Pathology using Fractal Dimension in a Multiresolution Analysis of Normal and Disordered Speech Signals”, Journal of Medical Systems, Springer, vol. 40, no. 1, Article no. 20, 2016. (ISI-IF: 2.456)
  20. Zulfiqar Ali, Mansour Alsulaiman, Irraivan Elamvazuthi, Ghulam Muhammad, Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, “Voice Pathology Detection based on the Modified Voice Contour and SVM”, Biologically Inspired Cognitive Architectures (BICA), vol. 15, pp. 10-18, 2016. (ISI-IF: 0.753)
  21. Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, Ghulam Muhammad, “Automatic Voice Pathology Detection with Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model”, Journal of Voice, vol. 30, no. 6, pp. 757.e7–757.e19, 2016. (ISI-IF: 1.381)  
  22. Musaed Alhussein, Zulfiqar Ali, Muhammad Imran, Wadood Abdul, “Automatic Gender Detection based on Characteristics of Vocal Folds for Mobile Healthcare System”, Mobile Information Systems, vol. 2016, Article ID 7805217, 12 pages, 2016. (ISI-IF: 0.849)
  23. Ghulam Muhammad, Ghadir Altuwaijri, Mansour Alsulaiman, Zulfiqar Ali, Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, Ahmed Al-nasheri, “Automatic Voice Pathology Detection and Classification using Vocal Tract Area Irregularity”, Biocybernetics and Biomedical Engineering, vol. 36, no. 2, pp. 309-317, 2016. (ISI-IF: 1.031)
  24. Zulfiqar Ali, Ghulam Muhammad, Mansour Alsulaiman, Irraivan Elamvazuthi and Khalid Al-Mutib, “Oriented and Interpolated Local Features for Speech Recognition of Vocal Fold Disordered Patients”, International Journal of Computers and Their Applications (IJCA), vol. 22, no. 1, 2015. (Indexed by Scopus)
  25. Mansour Alsulaiman, Ghulam Muhammad, Mohamed A. Bencherif, Awais Mahmood, Zulfiqar Ali, “KSU Rich Arabic Speech Database”, Information journal, pp. 4231- 4253, vol. 16, issue (6B), June 2013. (Indexed by Scopus)

Conference Publications:

  1. Zulfiqar Ali, Muhammad Imran, Wadood Abdul and Muhammad Shoaib, “An Innovative Algorithm for Privacy Protection in a Voice Disorder Detection System”, Book Chapter in Biologically Inspired Cognitive Architectures (BICA) for Young Scientists,   Part of the Advances in Intelligent Systems and Computing book series, Springer International Publishing, vol. 636, pp. 228-233, 2018. (Indexed in Web of Science)
  2. Zulfiqar Ali, M. Aslam, M. E. Ana María, E. Gonzalo, “Text-Independent Speaker Identification Using VQ-HMM Model Based Multiple Classifier System.”, Book Chapter in Advance in Soft Computing, Part of Lecture Notes in Computer Science Book Series, Springer International Publishing, vol. 6438, pp.116-125, 2010. (Indexed in Web of Science)
  3. Zulfiqar Ali, Mansour Alsulaiman, Ghulam Muhammad, Ahmed Al-nasheri, Awais Mahmood, “Clinical Informatics: Mining of Pathological Data by Acoustic Analysis”, International Conference on Informatics, Health & Technology, pp. 1-8, 21-23 Feb, 2017. (Indexed in Web of Science)
  4. Ahmed Al-nasheri, Zulfiqar Ali, Ghulam Muhammad, Mansour Alsulaiman, “An Investigation of MDVP Parameters for Voice Pathology Detection on Three Different Databases”, Proc. of INTERSPEECH’15, pp. 2952-2956, Sep 6-10, 2015. (Indexed in Web of Science)
  5. Ahmed Al-nasheri, Zulfiqar Ali, Ghulam Muhammad, Mansour Alsulaiman, Khalid H. Almalki, Tamer A. Mesallam, Mohamed Farahat, “Voice Pathology Detection with MDVP Parameters Using Arabic Voice Pathology Database”, 5th IEEE National Symposium on Information Technology: Towards New Smart World, pp. 1-5, Feb 16-18, 2015. (Indexed in Web of Science)
  6. Ahmed A-Nasheri, Zulfiqar Ali, Ghulam Muhammad, and Mansour Alsulaiman, “Voice Pathology Detection Using Auto-Correlation of Different Filters Bank,” 11th ACS/IEEE International Conference on Computer Systems and Applications, pp. 50-55, Nov 10-13, 2014. (Indexed in Web of Science)
  7. Mansour Alsulaiman, Hussein Obeidat, Saad Al-Kahtani, Zulfiqar Ali, Ghulam Muhammad, Afnan Al Hindi, Taha Alfakih, “Pronunciation Errors of Non-Arab Learners of Arabic Language”, International. Conference on Computer, Communication and Control, Technology, pp. 270-275, Sep. 2-4, 2014. (Indexed in Web of Science)
  8. Mansour Alsulaiman, Zulfiqar Ali, Ghulam Muhammad, M. A. Bencherif, Awais Mahmood, “KSU Speech Database: Text Selection, Recording and Verification”, 7th European Modelling Symposium on Mathematical Modelling and Computer Simulation, pp. 237-242, Nov. 20-22, 2013. (Indexed in Web of Science)
  9. Zulfiqar Ali, Mansour Alsulaiman, Ghulam Muhammad, Tamer Mesallam, Irraivan Elamvazuthi, “Vocal Fold Disorder Detection based on Continuous Speech by using MFCC and GMM”, 7th IEEE GCC Conference and Exhibition, pp. 384-289, 17-20 Nov. 2013. (Indexed in Web of Science)
  10. Ghulam Muhammad, Mansour Alsulaiman, Awais Mahmood and Zulfiqar Ali, “Automatic Voice Disorder Classification using Vowel Formants”, IEEE International Conference on Multimedia and Expo (ICME 2011), pp. 1-6, July 11-15, 2011. . (Indexed in Web of Science)
  11. Mansour Alsulaiman, Zulfiqar Ali and Ghulam Muhammad, “Gender Classification with Voice Intensity”, IEEE UKSim 5th European Symposium on Computer Modeling and Simulation, pp. 205-209, Nov 16-18, 2011. . (Indexed in Web of Science)
  12. Zulfiqar Ali, Aslam Muhammad, Martinez Enriquez A. M., “A Speaker Identification System using MFCC Features with VQ Technique”, IEEE 3rd International Conference on Intelligent Information Technology Application, vol. 3, pp 115-118, Nov 2009.  (Indexed in Web of Science)
  13. Mohammed Algabri, Mansour Alsulaiman, Ghulam Muhammad, Mohammed Zakariah, Mohamed Bencherif, Zulfiqar Ali, “Voice and Unvoiced Classification Using Fuzzy Logic”, 19th International Conference on Image Processing, Computer Vision, & Pattern Recognition, pp. 416-420, July 27-30, 2015.
  14. I. Elamvazuthi, N.H.X. Duy, Zulfiqar Ali, S.W. Su, M.K.A. Ahamed Khan and S. Parasuraman, “Electromyography (EMG) based Classification of Neuromuscular Disorders using Multi-Layer Perceptron”, Procedia Computer Science, vol. 76, pp. 223-228, 2015.
  15. I. Elamvazuthi, Zulika Zulkifli, Zulfiqar Ali, M.K.A. Ahamed Khan, S. Parasuraman, M. Balaji and M. Chandrasekaran, “Development of Electromyography Signal Signature for Forearm Muscle”, Procedia Computer Science, vol. 76, pp. 229-234, 2015.
  16. Zulfiqar Ali, Ghulam Muhammad, Mansour Alsulaiman, Irraivan Elamvazuthi and Khalid Al-Mutib, “Automatic Speech Recognition for Dysphonic Patients by using Oriented Local Features,” 27th International Conference on Computer Applications in Industry and Engineering, pp. 269-274, Oct 13-15, 2014.
  17. Ghulam Muhammad, Zulfiqar Ali, Mansour Alsulaiman, Khalid Almutib, “Vocal Fold Disorder Detection by applying LBP Operator on Dysphonic Speech Signal”, 2nd International Conference on Intelligent Control, Modelling and Systems Engineering, 29-31 Jan., 2014.
  18. Mansour M. Alsulaiman, Ghulam Muhammad and Zulfiqar Ali, “Classification of Vocal Fold Diseases Using RASTA-PLP”,  2013 International Conference on Bioinformatics & Computational Biology, July 22-25, 2013.
  19. Mohamed A. Bencherif, Mansour Alsulaiman, Ghulam Muhammad, Zulfiqar Ali, Awais Mahmood, Mohamed Faisal, “Gender Effect in Trait Recognition”, International Conference on Signal Processing and Image Engineering, 24-26 Oct, 2012.
  20. Mohamed A. Bencherif, Mansour Alsulaiman, Ghulam Muhammad, Ghassan H. Al Shatter, Saad A. Al-Kahtani, Zulfiqar Ali and Mohammed Al-Gabri, “Automatic Identification of Arabic L2 Learners Origin”, International Symposium on Automatic Detection of Errors in Pronouncing Training”, IS ADEPT 2012, pp. 107-112, June 6-8, 2012.
  21. Mansour Alsulaiman, Zulfiqar Ali and Ghulam Muhammad, “Voice Intensity Based Gender Classification by Using Simpson’s Rule with SVM”, IEEE 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012, pp. 552-555, April 11-14, 2012,
  22. Ghulam Muhammad, Mansour Alsulaiman and Zulfiqar Ali, “Comparison of Voice Features for Arabic Speech Recognition”, 6th IEEE International Conference on Digital Information Management (ICDIM), pp. 303-308, Sep 26-28, 2011.
  23. Mansour Alsulaiman, Ghulam Muhammad, Mohammed A. Alomari, Mohammed A. Alshehri, Zulfiqar Ali and Awais Mahmood, “An Automatic Diagnostic System for Medically Disordered Voice”, The International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'11), July 18-21, 2011. 
  24.  Mansour Alsulaiman, Ghulam Muhammad, Mohamed A. Bencherif, Awais Mahmood, Zulfiqar Ali and Mohammad Aljabri, “Building a Rich Arabic Speech Database”, IEEE 5th Asia International Conference on Mathematical Modeling and Computer Simulation (AMS ’11), pp. 100-105, May 23, 2011. 
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