Dr Rab Nawaz
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Email
rab.nawaz@essex.ac.uk -
Location
Colchester Campus
Profile
Biography
Dr Rab is a Lecturer at the School of Computer Science and Electronic Engineering, University of Essex. Before joining University of Essex, he was as Postdoctoral research associate in Department of Biomedical Engineering, University of Glasgow, Scotland. Previously he was a visiting research scholar at University of Graz, Austria. Rab received his Bachelor’s degree in Electronic Engineering and Master’s in Electrical Engineering from International Islamic University and NUST University, Islamabad, Pakistan, respectively. He obtained his PhD in Engineering from Universiti Tunku Abdul Rahman (UTAR), Malaysia. His PhD research was in the domain of Neurofeedback training and Brain-computer interface (BCI). During his professional career he has performed cutting-edge research in the field of Biomedical Engineering, BCI and Machine Learning. He has co-authored quality research papers, including in leading international journals and peer-reviewed international conference proceedings. He has also received the best paper awards at two international conferences.
Qualifications
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Post-doc University of Glasgow, (2023)
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Ph.D in Engineering Universiti Tunku Abdul Rahman, (2021)
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MS in Electrical Engineering National University of Sciences and Technology, (2016)
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BS in Electronic Engineering International Islamic University, Islamabad, (2013)
Appointments
University of Essex
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Lecturer, Computer Science and Electronic Engineering, University of Essex (1/12/2023 - present)
Other academic
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Postdoctoral research associate, Biomedical Engineering, University of Glasgow (1/10/2021 - 31/10/2023)
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Visiting researcher, School of Psychology, University of Graz (1/11/2020 - 30/4/2021)
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Research assistant, Department of Electronic Engineering, Universiti Tunku Abdul Rahman (1/3/2017 - 31/10/2020)
Research and professional activities
Research interests
Brain Computer Interfaces
Biomedical Signal Processing
Neurofeedback
Electroencephalography
Teaching and supervision
Current teaching responsibilities
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Brain-Computer Interfaces and Peripheral-Neural Interfaces (CE246)
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Machine Learning (CE326)
Publications
Journal articles (9)
Farhatullah, Chen, X., Zeng, D., Ullah, R., Nawaz, R., Xu, J. and Arslan, T., (2025). A deep learning approach for non-invasive Alzheimer's monitoring using microwave radar data.. Neural Networks. 181, 106778-106778
Mahmood, D., Nisar, H., Nawaz, R., Yap, VV. and Tsai, C-Y., (2024). Attention-related power and functional connectivity modulation associated with long-term alpha neurofeedback training. Biomedical Signal Processing and Control. 87, 105431-105431
Zhang, B., Zhu, X., Khan, FA., Jamal, SS., Mazroa, AA. and Nawaz, R., (2024). Research on ECG signal reconstruction based on improved weighted nuclear norm minimization and approximate message passing algorithm. Frontiers in Neuroinformatics. 18, 1454244-
Nawaz, R., Suen, H., Ullah, R., Purcell, M., Diggin, S., McCaughey, E. and Vuckovic, A., (2024). Electroencephalography Longitudinal Markers of Central Neuropathic Pain Intensity in Spinal Cord Injury: A Home-Based Pilot Study. Biomedicines. 12 (12), 2751-2751
Nawaz, R., Wood, G., Nisar, H. and Yap, VV., (2023). Exploring the Effects of EEG-Based Alpha Neurofeedback on Working Memory Capacity in Healthy Participants. Bioengineering. 10 (2), 200-200
Nawaz, R., Nisar, H., Yap, VV. and Tsai, C-Y., (2022). The Effect of Alpha Neurofeedback Training on Cognitive Performance in Healthy Adults. Mathematics. 10 (7), 1095-1095
Nawaz, R., Cheah, KH., Nisar, H. and Yap, VV., (2020). Comparison of different feature extraction methods for EEG-based emotion recognition. Biocybernetics and Biomedical Engineering. 40 (3), 910-926
Nawaz, R., Nisar, H. and Voon, YV., (2020). Changes in Spectral Power and Functional Connectivity of Response-Conflict Task After Neurofeedback Training. IEEE Access. 8, 139444-139459
Nawaz, R., Nisar, H. and Voon, YV., (2018). The Effect of Music on Human Brain; Frequency Domain and Time Series Analysis Using Electroencephalogram. IEEE Access. 6, 45191-45205
Conferences (9)
Sultana, M., Jain, O., Halder, S., Matran-Fernandez, A., Nawaz, R., Scherer, R., Chavarriaga, R., Millan, JDR. and Perdikis, S., Evaluating dry EEG technology out of the lab
Halder, S., Matran-Fernandez, A., Nawaz, R., Lopes da Silva, M., Bertoni, T., Noel, J-P., Jöhr, J., Serino, A., Diserens, K., Scherer, R. and Perdikis, S., TO REPEAT OR NOT TO REPEAT? ERP-BASED ASSESSMENT OF THE LEVEL OF CONSCIOUSNESS - A CASE STUDY
Nawaz, R., Wang, PK., Khan, MB. and Nisar, H., (2022). Channel Selection and Classification of Electroencephalography based Motor Imagery Signals using Machine Learning
Nawaz, R., Nisar, H. and Voon, YV., (2021). Analyses of Stroop EEG using Event Related Potentials and Time-Frequency Decomposition
Nisar, H., Hoe, TC. and Nawaz, R., (2020). Reducing Sensors in Mental Imagery Based Cognitive Task for Brain Computer Interface
Nawaz, R., Ng, JT., Nisar, H. and Voon, YV., (2019). Can background music help to relieve stress? An EEG analysis
Nawaz, R., Tan, LY., Nisar, H. and Khan, MB., (2019). Image stitching of microscopic wastewater images
Nawaz, R., Nisar, H., Voon, YV. and Yee, TP., (2018). Acoustic Feature Extraction from Music Songs to Predict Emotions Using Neural Networks
Nawaz, R., Nisar, H. and Yap, VV., (2018). Recognition of Useful Music for Emotion Enhancement Based on Dimensional Model
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