Dr Zulfiqar Ali

Magsi, AH., Yovita, LV., Ghulam, A., Muhammad, G. and Ali, Z., (2023). A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking. Sustainability. 15 (14), 10931-10931

Butt, NA., Gull, H., Ali, Z., Muhammad, G. and AlQahtani, SA., (2023). A multi-prefecture study applying multivariate approaches for predicting and demystifying weather data variations affect COVID-19 spread. Information Systems and e-Business Management

Almogahed, A., Mahdin, H., Omar, M., Zakaria, NH., Muhammad, G. and Ali, Z., (2023). Optimized Refactoring Mechanisms to Improve Quality Characteristics in Object-Oriented Systems. IEEE Access. 11, 99143-99158

Hussain Magsi, A., Muhammad, G., Karim, S., Memon, S. and Ali, Z., (2023). Push-Based Content Dissemination and Machine Learning-Oriented Illusion Attack Detection in Vehicular Named Data Networking. Computers, Materials & Continua. 76 (3), 3131-3150

Udoy, AI., Rahaman, MA., Islam, MJ., Rahman, A., Ali, Z. and Muhammad, G., (2023). 4SQR-Code: A 4-state QR code generation model for increasing data storing capacity in the Digital Twin framework. Journal of Advanced Research, S2090-1232(23)00298-9-1232(23)00298

Ahmad, N., Muhammad, G., Yadav, KS., Laskar, RH., Hossain, A. and Ali, Z., (2023). A cascaded deep learning framework for iris centre localization in facial image. Expert Systems. 41 (2)

Singamaneni, KK., Muhammad, G. and Ali, Z., (2023). A Novel Multi-Qubit Quantum Key Distribution Ciphertext-Policy Attribute-Based Encryption Model to Improve Cloud Security for Consumers. IEEE Transactions on Consumer Electronics, 1-1

Ali, Z., Imran, M. and Shoaib, M., (2022). An IoT-based smart healthcare system to detect dysphonia. Neural Computing and Applications. 34 (14), 11255-11265

Ali, Z., Amin, F-E. and Hussain, M., (2022). A Novel Fragile Zero-Watermarking Algorithm for Digital Medical Images. Electronics. 11 (5), 710-710

Hussain, I., Ullah, I., Ali, W., Muhammad, G. and Ali, Z., (2022). Exploiting lion optimization algorithm for sustainable energy management system in industrial applications. Sustainable Energy Technologies and Assessments. 52C, 102237-102237

Benarous, L., Benarous, K., Muhammad, G. and Ali, Z., (2022). Deep learning application detecting SARS-CoV-2 key enzymes inhibitors.. Cluster Computing. 26 (2), 1169-1180

Andreu-Perez, J., Perez-Espinosa, H., Timonet, E., Kiani, M., Giron-Perez, MI., Benitez-Trinidad, AB., Jarchi, D., Rosales, A., Gkatzoulis, N., Reyes-Galaviz, OF., Torres, A., Alberto Reyes-Garcia, C., Ali, Z. and Rivas, F., (2022). A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. IEEE Transactions on Services Computing. 15 (3), 1220-1232

Mubeen, Z., Afzal, M., Ali, Z., Khan, S. and Imran, M., (2021). Detection of impostor and tampered segments in audio by using an intelligent system. Computers and Electrical Engineering. 91, 107122-107122

Awais, M., Raza, M., Ali, K., Ali, Z., Irfan, M., Chughtai, O., Khan, I., Kim, S. and Ur Rehman, M., (2019). An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. Sensors. 19 (11), 2498-2498

Ali, Z., Imran, M., McClean, S., Khan, N. and Shoaib, M., (2019). Protection of records and data authentication based on secret shares and watermarking. Future Generation Computer Systems. 98, 331-341

Ali, A., Yaqoob, I., Ahmed, E., Imran, M., Kwak, KS., Ahmad, A., Hussain, SA. and Ali, Z., (2018). Channel Clustering and QoS Level Identification Scheme for Multi-Channel Cognitive Radio Networks. IEEE Communications Magazine. 56 (4), 164-171

Ali, Z. and Talha, M., (2018). Innovative Method for Unsupervised Voice Activity Detection and Classification of Audio Segments. IEEE Access. 6, 15494-15504

Ali, Z., Imran, M., Alsulaiman, M., Shoaib, M. and Ullah, S., (2018). Chaos-based robust method of zero-watermarking for medical signals. Future Generation Computer Systems. 88, 400-412

Ali, Z., Hossain, MS., Muhammad, G. and Sangaiah, AK., (2018). An intelligent healthcare system for detection and classification to discriminate vocal fold disorders. Future Generation Computer Systems. 85, 19-28

Ali, Z., Hossain, MS., Muhammad, G., Ullah, I., Abachi, H. and Alamri, A., (2018). Edge-centric multimodal authentication system using encrypted biometric templates. Future Generation Computer Systems. 85, 76-87

Ali, Z., Imran, M., Alsulaiman, M., Zia, T. and Shoaib, M., (2018). A zero-watermarking algorithm for privacy protection in biomedical signals. Future Generation Computer Systems. 82, 290-303

Ali, Z., Hossain, MS., Muhammad, G. and Aslam, M., (2018). New Zero-Watermarking Algorithm Using Hurst Exponent for Protection of Privacy in Telemedicine. IEEE Access. 6, 7930-7940

Al-Nasheri, A., Muhammad, G., Alsulaiman, M., Ali, Z., Malki, KH., Mesallam, TA. and Farahat Ibrahim, M., (2018). Voice Pathology Detection and Classification Using Auto-Correlation and Entropy Features in Different Frequency Regions. IEEE Access. 6, 6961-6974

Mesallam, TA., Farahat, M., Malki, KH., Alsulaiman, M., Ali, Z., Al-nasheri, A. and Muhammad, G., (2017). Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms. Journal of Healthcare Engineering. 2017, 1-13

Abdul, W., Ali, Z., Ghouzali, S. and Alsulaiman, M., (2017). Security and Privacy for Medical Images Using Chaotic Visual Cryptography. Journal of Medical Imaging and Health Informatics. 7 (6), 1296-1301

Ali, Z., Alsulaiman, M., Muhammad, G., Elamvazuthi, I., Al-Nasheri, A., Mesallam, TA., Farahat, M. and Malki, KH., (2017). Intra- and Inter-database Study for Arabic, English, and German Databases: Do Conventional Speech Features Detect Voice Pathology?. Journal of Voice. 31 (3), 386.e1-386.e8

Ali, Z., Imran, M. and Alsulaiman, M., (2017). An Automatic Digital Audio Authentication/Forensics System. IEEE Access. 5, 2994-3007

Al-nasheri, A., Muhammad, G., Alsulaiman, M., Ali, Z., Mesallam, TA., Farahat, M., Malki, KH. and Bencherif, MA., (2017). An Investigation of Multidimensional Voice Program Parameters in Three Different Databases for Voice Pathology Detection and Classification. Journal of Voice. 31 (1), 113.e9-113.e18

Al-Nasheri, A., Muhammad, G., Alsulaiman, M. and Ali, Z., (2017). Investigation of Voice Pathology Detection and Classification on Different Frequency Regions Using Correlation Functions.. Journal of Voice. 31 (1), 3-15

Muhammad, G., Alsulaiman, M., Ali, Z., Mesallam, TA., Farahat, M., Malki, KH., Al-nasheri, A. and Bencherif, MA., (2017). Voice pathology detection using interlaced derivative pattern on glottal source excitation. Biomedical Signal Processing and Control. 31, 156-164

Imran, M., Ali, Z., Bakhsh, ST. and Akram, S., (2017). Blind Detection of Copy-Move Forgery in Digital Audio Forensics. IEEE Access. 5, 12843-12855

Abdul, W., Ali, Z., Ghouzali, S., Alfawaz, B., Muhammad, G. and Hossain, MS., (2017). Biometric Security Through Visual Encryption for Fog Edge Computing. IEEE Access. 5, 5531-5538

Ali, Z., Muhammad, G. and Alhamid, MF., (2017). An Automatic Health Monitoring System for Patients Suffering From Voice Complications in Smart Cities. IEEE Access. 5, 3900-3908

Ali, Z., Talha, M. and Alsulaiman, M., (2017). A Practical Approach: Design and Implementation of a Healthcare Software for Screening of Dysphonic Patients. IEEE Access. 5, 5844-5857

Ali, Z., Elamvazuthi, I., Alsulaiman, M. and Muhammad, G., (2016). Detection of Voice Pathology using Fractal Dimension in a Multiresolution Analysis of Normal and Disordered Speech Signals. Journal of Medical Systems. 40 (1), 1-10

Ali, Z., Elamvazuthi, I., Alsulaiman, M. and Muhammad, G., (2016). 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. 30 (6), 757.e7-757.e19

Muhammad, G., Altuwaijri, G., Alsulaiman, M., Ali, Z., Mesallam, TA., Farahat, M., Malki, KH. and Al-nasheri, A., (2016). Automatic voice pathology detection and classification using vocal tract area irregularity. Biocybernetics and Biomedical Engineering. 36 (2), 309-317

Alhussein, M., Ali, Z., Imran, M. and Abdul, W., (2016). Automatic Gender Detection Based on Characteristics of Vocal Folds for Mobile Healthcare System. Mobile Information Systems. 2016, 1-12

Ali, Z., Alsulaiman, M., Elamvazuthi, I., Muhammad, G., Mesallam, TA., Farahat, M. and Malki, KH., (2016). Voice pathology detection based on the modified voice contour and SVM. Biologically Inspired Cognitive Architectures. 15, 10-18

Elamvazuthi, I., Zulkifli, Z., Ali, Z., Khan, MKAA., Parasuraman, S., Balaji, M. and Chandrasekaran, M., (2015). Development of Electromyography Signal Signature for Forearm Muscle. Procedia Computer Science. 76, 229-234

Elamvazuthi, I., Duy, NHX., Ali, Z., Su, SW., Khan, MKAA. and Parasuraman, S., (2015). Electromyography (EMG) based Classification of Neuromuscular Disorders using Multi-Layer Perceptron. Procedia Computer Science. 76, 223-228

Ali, Z., Muhammad, G., Alsulaiman, M., Elamvazuthi, I. and Al-Mutib, K., (2015). Oriented and Interpolated Local Features for Speech Recognition of Vocal Fold Disordered Patients. International Journal for Computers and Their Applications. 22 (1), 1-11

Ali, Z., Muhammad, G., Alsulaiman, M., Elamvazuthi, I. and Al-Mutib, K., (2015). Oriented and interpolated local features for speech recognition of vocal fold disordered patients. International Journal of Computers and their Applications. 22 (1), 3-11

Alsulaiman, M., Muhammad, G., Bencherif, MA., Mahmood, A. and Ali, Z., (2013). KSU rich Arabic speech database. Information (Japan). 16 (6 B), 4231-4253

Khan, N., Ali, Z., Ali, A., McClean, S., Charles, D., Taylor, P. and Nauck, D., (2019). A Generic Model for End State Prediction of Business Processes Towards Target Compliance

Ali, Z., Imran, M., Abdul, W. and Shoaib, M., (2018). An Innovative Algorithm for Privacy Protection in a Voice Disorder Detection System

Ali, Z., Alsulaiman, M., Muhammad, G., Al-nasheri, A. and Mahmood, A., (2017). Clinical informatics: mining of pathological data by acoustic analysis

Al-nasheri, A., Ali, Z., Muhammad, G., Alsulaiman, M., Almalki, KH., Mesallam, TA. and Farahat, M., (2015). Voice pathology detection with MDVP parameters using Arabic voice pathology database

Algabri, M., Alsulaiman, M., Muhammad, G., Zakariah, M., Bencherif, M. and Ali, Z., (2015). Voice and unvoiced classification using fuzzy logic

Al-Nasheri, A., Ali, Z., Muhammad, G. and Alsulaiman, M., (2015). An investigation of MDVP parameters for voice pathology detection on three different databases

Ali, Z., Muhammad, G., Alsulaiman, M., Elamvazuthi, I. and Al-Mutib, K., (2014). Automatic speech recognition for dysphonic patients by using oriented local features

Al-nasheri, A., Ali, Z., Muhammad, G. and Alsulaiman, M., (2014). Voice pathology detection using auto-correlation of different filters bank

Alsulaiman, M., Ali, Z., Muhammad, G., Al Hindi, A., Alfakih, T., Obeidat, H. and Al-Kahtani, S., (2014). Pronunciation errors of non-Arab learners of Arabic language

Ali, Z., Alsulaiman, M., Muhammad, G., Elamvazuthi, I. and Mesallam, TA., (2013). Vocal fold disorder detection based on continuous speech by using MFCC and GMM

Alsulaiman, M., Ali, Z., Muhammed, G., Bencherif, M. and Mahmood, A., (2013). KSU Speech Database: Text Selection, Recording and Verification

Alsulaiman, M., Ali, Z. and Muhammad, G., (2012). Voice intensity based gender classification by using Simpson's rule with SVM

Bencherif, MA., Alsulaiman, M., Muhammad, G., Ali, Z., Mahmood, A. and Faisal, M., (2012). Gender effect in trait recognition

Alsulaiman, MM., Muhammad, G., Bencherif, MA., Mahmood, A., Ali, Z. and Aljabri, M., (2011). Building a Rich Arabic Speech Database

Alsulaiman, M., Muhammad, G. and Ali, Z., (2011). Comparison of voice features for Arabic speech recognition

Alsulaiman, M., Muhammad, G., Alomari, MA., Alshehri, MA., Ali, Z. and Mahmood, A., (2011). An automatic diagnostic system for medically disordered voice

Alsulaiman, M., Ali, Z. and Muhammad, G., (2011). Gender Classification with Voice Intensity

Muhammad, G., Alsulaiman, M., Mahmood, A. and Ali, Z., (2011). Automatic voice disorder classification using vowel formants

Zulfiqar, A., Muhammad, A., Martinez-Enriquez, AM. and Escalada-Imaz, G., (2010). Text-Independent Speaker Identification Using VQ-HMM Model Based Multiple Classifier System

Zulfiqar, A., Muhammad, A. and A.M., ME., (2009). A Speaker Identification System Using MFCC Features with VQ Technique