Dr Muhammad Sadiq
![Dr Muhammad Sadiq](http://www1.essex.ac.uk/people-images/SADIQ68505.jpg)
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Email
m.t.sadiq@essex.ac.uk -
Location
Colchester Campus
Profile
Biography
Dr. Muhammad Tariq Sadiq, a highly cited researcher ranked in the top 2% globally for 2022 and 2023, brings over 13 years of academic expertise to the fields of artificial intelligence, neurorobotics, and biomedical engineering. Holding a Ph.D. from Northwestern Polytechnical University, his focus on machine intelligence and data science is complemented by a dedication to student-centered learning. Dr. Sadiq's impactful research spans brain disorder diagnosis and advancements in neurorobotic prosthetics, backed by numerous publications and accolades. With a keen interest in mentoring PhD candidates and leading grant-funded projects, he remains committed to shaping the future of academia and innovation.
Qualifications
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PhD Northwestern Polytechnical University, (2021)
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MSc Blekinge Institute of Technology, (2011)
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BSc COMSATS University Islamabad, (2009)
Appointments
University of Essex
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Lecturer (Assistant Professor), CSEE, University of Essex (1/3/2024 - present)
Other academic
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Lecturer/Senior Lecturer, Robotics, Automation and Control Engineering, University of Brighton (26/8/2022 - 29/2/2024)
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Assistant Professor, Electrical Engineering, University of Lahore (1/3/2017 - 12/8/2022)
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Assistant Professor, Electrical Engineering, University of Engineering and Technology (Affiliated College: SCET) (5/1/2014 - 28/2/2017)
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Lecturer, Electrical Engineering, University of Engineering and Technology (Affiliated College: SCET) (5/2/2013 - 31/12/2013)
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Lecturer, Electrical Engineering, University of South Asia (5/2/2011 - 1/3/2013)
Research and professional activities
Research interests
Brain-computer interfacing
Development of new frameworks for motor imagery-based BCI systems.
Machine learning
To decipher intricate patterns and extract meaningful insights from complex data, enabling advancements in disease diagnosis, treatment optimization, and personalized healthcare.
EEG
Development of machine learning and signal processing algorithms for the development of novel frameworks for neural disease identification such as epilepsy, alzheimer's disease, parkinson's disease, depression, and schizophrenia.
Motor rehabilitation
Development of BCI systems to aid movement rehabilitation after injury or disease.
Analysis and Classification of Non-Stationary Signals
Development of signal processing and machine learning approaches for the development of automatic frameworks.
Publications
Journal articles (43)
Siuly, S., Khare, SK., Kabir, E., Sadiq, MT. and Wang, H., (2024). An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network. Computers in Biology and Medicine. 174, 108462-108462
Sadiq, MT., Yousaf, A., Siuly, S. and Almogren, A., (2024). Fast Fractional Fourier Transform-Aided Novel Graphical Approach for EEG Alcoholism Detection. Bioengineering. 11 (5), 464-464
Akhter, MP., Jiangbin, Z., Naqvi, IR., Abdelmajeed, M. and Sadiq, MT., (2024). Automatic Detection of Offensive Language for Urdu and Roman Urdu. IEEE Access. 8, 91213-91226
Bakar Siddique, MA., Asad, A., Asif, RM., Rehman, AU., Sadiq, MT. and Ullah, I., (2023). Implementation of Incremental Conductance MPPT Algorithm with Integral Regulator by Using Boost Converter in Grid-Connected PV Array. IETE Journal of Research. 69 (6), 3822-3835
Rehman, AU., Jiang, A., Rehman, A., Paul, A., din, S. and Sadiq, MT., (2023). Identification and role of opinion leaders in information diffusion for online discussion network. Journal of Ambient Intelligence and Humanized Computing. 14 (11), 15301-15313
Sadiq, MT., Siuly, S., Almogren, A., Li, Y. and Wen, P., (2023). Efficient novel network and index for alcoholism detection from EEGs.. Health Information Science and Systems. 11 (1), 27-
AKBARI, H., SADIQ, MT., JAFARI, N., TOO, J., MIKAEILVAND, N., CICONE, A. and SERRA-CAPIZZANO, S., (2022). Recognizing seizure using Poincaré plot of EEG signals and graphical features in DWT domain. Bratislava Medical Journal. 124 (01), 12-24
Sadiq, MT., Akbari, H., Siuly, S., Li, Y. and Wen, P., (2022). Alcoholic EEG signals recognition based on phase space dynamic and geometrical features. Chaos, Solitons & Fractals. 158, 112036-112036
Sadiq, MT., Aziz, MZ., Almogren, A., Yousaf, A., Siuly, S. and Rehman, AU., (2022). Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework. Computers in Biology and Medicine. 143, 105242-105242
Sadiq, MT., Yu, X., Yuan, Z., Aziz, MZ., Siuly, S. and Ding, W., (2022). A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject-Specific Tasks. IEEE Transactions on Cognitive and Developmental Systems. 14 (2), 375-387
Tufail, AB., Ullah, I., Rehman, AU., Khan, RA., Khan, MA., Ma, Y-K., Hussain Khokhar, N., Sadiq, MT., Khan, R., Shafiq, M., Eldin, ET. and Ghamry, NA., (2022). On Disharmony in Batch Normalization and Dropout Methods for Early Categorization of Alzheimer’s Disease. Sustainability. 14 (22), 14695-14695
Yu, X., Aziz, MZ., Sadiq, MT., Jia, K., Fan, Z. and Xiao, G., (2022). Computerized Multidomain EEG Classification System: A New Paradigm. IEEE Journal of Biomedical and Health Informatics. 26 (8), 3626-3637
Sadiq, MT., Yu, X., Yuan, Z., Aziz, MZ., Rehman, NU., Ding, W. and Xiao, G., (2022). Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Transactions on Emerging Topics in Computational Intelligence. 6 (5), 1177-1189
Akbari, H., Sadiq, MT., Siuly, S., Li, Y. and Wen, P., (2022). Identification of normal and depression EEG signals in variational mode decomposition domain. Health Information Science and Systems. 10 (1), 24-
Akbari, H. and Sadiq, MT., (2021). Detection of focal and non-focal EEG signals using non-linear features derived from empirical wavelet transform rhythms. Physical and Engineering Sciences in Medicine. 44 (1), 157-171
Sadiq, MT., Yu, X. and Yuan, Z., (2021). Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces. Expert Systems with Applications. 164, 114031-114031
Sadiq, MT., Akbari, H., Siuly, S., Yousaf, A. and Rehman, AU., (2021). A novel computer-aided diagnosis framework for EEG-based identification of neural diseases. Computers in Biology and Medicine. 138, 104922-104922
Sadiq, MT., Akbari, H., Rehman, AU., Nishtar, Z., Masood, B., Ghazvini, M., Too, J., Hamedi, N. and Kaabar, MKA., (2021). Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain. Journal of Healthcare Engineering. 2021, 1-24
Sang, X., Yuan, Z., Yu, X., Sadiq, MT., Liang, N., Naseer, N. and Xiao, G., (2021). Modeling and Analysis of Temperature Compensation for Multi-temperature Zone Sintering Furnace Temperature Sensing. International Journal of Control, Automation and Systems. 19 (7), 2431-2443
Akbari, H., Sadiq, MT., Payan, M., Esmaili, SS., Baghri, H. and Bagheri, H., (2021). Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO. Traitement du Signal. 38 (1), 13-26
Akbari, H., Sadiq, MT., Ur Rehman, A., Ghazvini, M., Naqvi, RA., Payan, M., Bagheri, H. and Bagheri, H., (2021). Depression recognition based on the reconstruction of phase space of EEG signals and geometrical features. Applied Acoustics. 179, 108078-108078
Yu, X., Aziz, MZ., Sadiq, MT., Fan, Z. and Xiao, G., (2021). A New Framework for Automatic Detection of Motor and Mental Imagery EEG Signals for Robust BCI Systems. IEEE Transactions on Instrumentation and Measurement. 70, 1-12
Sang, X., Yuan, Z., Yu, X., Xiao, G., Sadiq, MT., Yang, P. and Li, Y., (2021). Simultaneous stable control of temperature field distribution uniformity and consistency for multi-temperature zone systems. Transactions of the Institute of Measurement and Control. 43 (9), 2069-2080
Hussain, W., Sadiq, MT., Siuly, S. and Rehman, AU., (2021). Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks. Applied Acoustics. 177, 107941-107941
Akbari, H., Sadiq, MT. and Rehman, AU., (2021). Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain. Health Information Science and Systems. 9 (1), 9-
Sadiq, MT., Yu, X., Yuan, Z., Aziz, MZ., Siuly, S. and Ding, W., (2021). Toward the Development of Versatile Brain–Computer Interfaces. IEEE Transactions on Artificial Intelligence. 2 (4), 314-328
Sadiq, MT., Yu, X., Yuan, Z. and Aziz, MZ., (2020). Motor imagery BCI classification based on novel two‐dimensional modelling in empirical wavelet transform. Electronics Letters. 56 (25), 1367-1369
Fan, Z., Jamil, M., Sadiq, MT., Huang, X. and Yu, X., (2020). Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients. Journal of Healthcare Engineering. 2020, 1-13
Kang, J., Yuan, Z. and Tariq Sadiq, M., (2020). Numerical Simulation and Experimental Research on Flow Force and Pressure Stability in a Nozzle-Flapper Servo Valve. Processes. 8 (11), 1404-1404
Ali, B., Nie, Y., Hussain, S., Manan, A. and Sadiq, MT., (2020). Unsteady magneto-hydrodynamic transport of rotating Maxwell nanofluid flow on a stretching sheet with Cattaneo–Christov double diffusion and activation energy. Thermal Science and Engineering Progress. 20, 100720-100720
Zhang, J., Yuan, Z., Dong, S., Sadiq, MT., Zhang, F. and Li, J., (2020). Structural Design and Kinematics Simulation of Hydraulic Biped Robot. Applied Sciences. 10 (18), 6377-6377
Sadiq, MT., Yu, X., Yuan, Z. and Aziz, MZ., (2020). Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index. Sensors. 20 (18), 5283-5283
Rehman, AU., Naqvi, RA., Rehman, A., Paul, A., Sadiq, MT. and Hussain, D., (2020). A Trustworthy SIoT Aware Mechanism as an Enabler for Citizen Services in Smart Cities. Electronics. 9 (6), 918-918
Asif, RM., Ur Rehman, A., Ur Rehman, S., Arshad, J., Hamid, J., Tariq Sadiq, M. and Tahir, S., (2020). Design and analysis of robust fuzzy logic maximum power point tracking based isolated photovoltaic energy system. Engineering Reports. 2 (9)
Akhter, MP., Jiangbin, Z., Naqvi, IR., Abdelmajeed, M., Mehmood, A. and Sadiq, MT., (2020). Document-Level Text Classification Using Single-Layer Multisize Filters Convolutional Neural Network. IEEE Access. 8, 42689-42707
Dong, S., Yuan, Z., Yu, X., Sadiq, MT., Zhang, J., Zhang, F. and Wang, C., (2020). Flexible model predictive control based on multivariable online adjustment mechanism for robust gait generation. International Journal of Advanced Robotic Systems. 17 (1), 1-15
Ali, B., Yu, X., Sadiq, MT., Rehman, AU. and Ali, L., (2020). A Finite Element Simulation of the Active and Passive Controls of the MHD Effect on an Axisymmetric Nanofluid Flow with Thermo-Diffusion over a Radially Stretched Sheet. Processes. 8 (2), 207-207
Ali, B., Naqvi, RA., Nie, Y., Khan, SA., Sadiq, MT., Rehman, AU. and Abdal, S., (2020). Variable Viscosity Effects on Unsteady MHD an Axisymmetric Nanofluid Flow over a Stretching Surface with Thermo-Diffusion: FEM Approach. Symmetry. 12 (2), 234-234
Yu, X., Hu, C., Zhang, W., Zhou, J., Ding, Q., Sadiq, MT., Fan, Z., Yuan, Z. and Liu, L., (2019). Feasibility evaluation of micro-optical coherence tomography (μOCT) for rapid brain tumor type and grade discriminations: μOCT images versus pathology. BMC Medical Imaging. 19 (1), 102-
Sadiq, MT., Yu, X., Yuan, Z., Fan, Z., Rehman, AU., Li, G. and Xiao, G., (2019). Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform. IEEE Access. 7, 127678-127692
Ali, B., Nie, Y., Khan, SA., Sadiq, MT. and Tariq, M., (2019). Finite Element Simulation of Multiple Slip Effects on MHD Unsteady Maxwell Nanofluid Flow over a Permeable Stretching Sheet with Radiation and Thermo-Diffusion in the Presence of Chemical Reaction. Processes. 7 (9), 628-628
Sadiq, MT., Yu, X., Yuan, Z., Zeming, F., Rehman, AU., Ullah, I., Li, G. and Xiao, G., (2019). Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces. IEEE Access. 7, 171431-171451
Dong, S., Yuan, Z., Yu, X., Zhang, J., Sadiq, MT. and Zhang, F., (2019). On-Line Gait Adjustment for Humanoid Robot Robust Walking Based on Divergence Component of Motion. IEEE Access. 7, 159507-159518
Book chapters (2)
Sadiq, MT., Siuly, S. and Rehman, AU., (2022). Evaluation of power spectral and machine learning techniques for the development of subject-specific BCI. In: Artificial Intelligence-Based Brain-Computer Interface. Elsevier. 99- 120. 9780323911979
Sadiq, MT., Akbari, H., Siuly, S., Li, Y. and Wen, P., (2022). Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG. In: Lecture Notes in Computer Science. Springer Nature Switzerland. 100- 112. 9783031206269
Conferences (7)
Sadiq, MT., Siuly, S., Li, Y. and Wen, P., (2023). A Comprehensive Approach for Enhancing Motor Imagery EEG Classification in BCI’s
Bharany, S., Taleb, N., Sadiq, MT., Kanwal, N., Abdelhakim, M., Ghazal, TM., Pradhan, M. and Rehman, AU., (2023). A Comprehensive Review on Big Data Challenges
Ur Rehman, A., Arshad, J., Sadiq, MT., Rehman, A., Ahmad, M., Hasan, MK., Al Hamadi, H. and Faiz, T., (2022). Implementation of an Intelligent Animal Monitoring System Using Wireless Sensor Network and IoT Platform
Akbari, H., Sadiq, MT., Siuly, S., Li, Y. and Wen, P., (2021). An Automatic Scheme with Diagnostic Index for Identification of Normal and Depression EEG Signals
Sadiq, MT., Siuly, S., Ur Rehman, A. and Wang, H., (2021). Auto-correlation Based Feature Extraction Approach for EEG Alcoholism Identification
Hassan, A., Rehman, AU., Shabbir, N., Hassan, SR., Sadiq, MT. and Arshad, J., (2019). Impact of Inertial Response for the Variable Speed Wind Turbine
Furqan Durrani, AM., Rehman, AU., Farooq, A., Meo, JA. and Sadiq, MT., (2019). An Automated Waste Control Management System (AWCMS) by Using Arduino
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