- Current students
School of Computing, Electrical and Applied Technology
Senior Member of IEEE
Member of IEEE Signal Processing Society
Member of IET
Member of ACM
Hamid Sharifzadeh received his PhD degree from Nanyang Technological University (NTU) in Singapore. Following the completion of his studies, he undertook two postdoctoral fellowships at NTU focussing on the areas of speech and image processing before joining Unitec as a Lecturer in 2014.
- Speech Processing
- Image Processing
- Embedded Systems
- Machine Learning for Intelligent Data Processing (postgrad course), Unitec
- Operating System Fundamentals (undergrad course), Unitec
- Hardware Fundamentals (undergrad course), Unitec
- Embedded Operating Systems (postgrad course), NTU
- Microprocessor Programming (undergrad course), NTU
Graduate supervision of completed theses/dissertations
Masters theses or dissertations
Masters theses or dissertations supervised by Hamid Sharifzadeh as Principal Supervisor
Francis, Xavier S. (2019). Modelling wear patterns on footwear outsoles (Master of Computing)
Masters theses or dissertations supervised by Hamid Sharifzadeh as Associate Supervisor
Biswas, Sumit (2020). Intelligent beehive status monitoring in noisy environment (Master of Computing)
Alahmadi, Alaa (2017-07). A cluster based collaborative filtering method for improving the performance of recommender systems in ecommerce (Master of Computing)
Ratana, R., Sharifzadeh, H., Krishnan, J., & Pang, S. H. (2019). A Comprehensive Review of Computational Methods for Automatic Prediction of Schizophrenia With Insight Into Indigenous Populations. Frontiers in Psychiatry (Vol. 10).
Pour, S., Sharifzadeh, H., Ardekani, I., & Francis, X. (2019). Vein Pattern Visualisation and Feature Extraction Using Sparse Auto-encoder for Forensic Purposes. 16th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS).
Baghaei, N., Hach, S., Stemmet, L., Krishnan, J., Liang, H., & Sharifzadeh, H. (2019). Increasing self-compassion in young people through virtual reality. IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
Francis, X., Sharifzadeh, H., Newton, A., Baghaei, N., & Pour, S. (2019). Learning Wear Patterns on Footwear Outsoles Using Convolutional Neural Networks. 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).
Varastehpour, S., Sharifzadeh, H., Ardekani, I., Francis, X., & Baghaei, N. (2019). An Adaptive Method for Vein Recognition Enhancement Using Deep Learning. 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
Francis, X., Sharifzadeh, H., Newton, A., Baghaei, N., & Pour, S. (2019). Feature Enhancement and Denoising of a Forensic Shoeprint Dataset for Tracking Wear-And-Tear Effects. 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
Sabaee, M. E., Sharifzadeh, H., Ardekani, I., & Allen, J. (2018). A Preliminary Acoustic Analysis of Laryngectomised Speech in Adult New Zealanders. IEEE, 16th International Workshop on Acoustic Signal Enhancement (IWAENC).
Varastehpour, S., Sharifzadeh, H., Ardekani, I., & Sarrafzadeh, A. (2018). Extended Abstract: A Review of Biometric Traits with Insight into Vein Pattern Recognition. IEEE, 16th Annual Conference on Privacy, Security and Trust (PST).
B Sassani, B., Alahmadi, A., & Sharifzadeh, H. (2018). A Cluster Based Collaborative Filtering Method for Improving the Performance of Recommender Systems in E-Commerce. K. Arai et al, Future Technologies Conference (FTC).
Ardekani, I., Sakhaee, N., Sharifzadeh, H., Barmada, B., & Lovell, G. (2018). A novel adaptive active noise control algorithm based on Tikhonov regularisation. The 10th International Conference on Signal Processing Systems.
Sharifzadeh, H., Mehdinezhad, H., Allen, J., McLoughlin, I., & Ardekani, I. (2018). Formant Smoothing for Quality Improvement of Post-Laryngectomised Speech Reconstruction. IEEE, IEEE International Conference on Orange Technologies (ICOT).
Sharifzadeh, H. R., HajiRassouliha, A., McLoughlin, I., Ardekani, I. T., Allen, J. E., & Sarrafzadeh, A. (2017). A Training-Based Speech Regeneration Approach With Cascading Mapping Models. Elsevier Journal of Computers & Electrical Engineering (Vol. Articles In Press).
Ardekani, I., Zhang, X., Sharifzadeh, H., & Kaipio, J. (2017). Maximum A Posteriori Adjustment of Adaptive Transversal Filters in Active Noise Control. IEEE, Proceedings of APSIPA Annual Summit and Conference 2017.
Ardekani, I. T., Kaipio, J., Nasiri, A., Sharifzadeh, H. R., & Abdulla, W. (2016). A Statistical inverse problem approach to online secondary path modeling in active noise control. IEEE/ACM Transaction on Audio, Speech, and Language Processing (Vol. 24 (1)).
Sharifzadeh, H. R., Allen, J. E., Sarrafzadeh, A., & Ardekani, I. (2016). Bionic Voice (Pilot Study): Natural Speech Restoration for Voice Impaired Individuals. Health Informatics New Zealand, Health Informatics New Zealand Conference.
Sharifzadeh, H. R., Allen, J. E., Mcloughlin, I., Sarrafzadeh, H., & Ardekani, I. (2016). Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals. Combined Otolaryngology Spring Meetings (COSM), Chicago, Illinois.
Ardekani, I. T., Sharifzadeh, H. R., Rehman, S., and Abdulla, W. H. (2015). EFFICIENT FxLMS ALGORITHM WITH SIMPLIFIED SECONDARY PATH MODELS. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Sharifzadeh, H. R., HajiRassouliha, A., McLoughlin, I. V., Ardekani, I. T., & Allen, J. E. (2015). Phonated Speech Reconstruction Using Twin Mapping Models. IEEE, IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
Sharifzadeh, H. R., Ardekani, I. T., & McLoughlin, I. (2015). Comparative Whisper Vowel Space for Singapore English and British English Accents. In IEEE, Proceedings of the Asia-Pacific Signal and Information Processing Association Conference (APSIPA).
McLoughlin, I. V., Sharifzadeh, H. R., Tan, S. L., & Li, Jingjie. (2015). Reconstruction of Phonated Speech from Whispers Using Formant-Derived Plausible Pitch Modulation. ACM Transactions on Accessible Computing (Vol. 6).
Sharifzadeh, H. R., Zhang, H., and Kong, A. (2014). Vein Pattern Visualization Through Multiple Mapping Models and Local Parameter Estimation for Forensic Investigation. 22nd International Conference on Pattern Recognition (ICPR), 24-28 August. doi: 10.1109/ICPR.2014.37.
Sharifzadeh, H. R., McLoughlin, I. V., and Ahmadi, F. (2010). Reconstruction of Normal Sounding Speech for Laryngectomy Patients through a Modified CELP Codec. IEEE Transactions on BioMedical Engineering.
Sharifzadeh, H. R., and McLoughlin, I. V. (2009). Speech Reconstruction in Post-Laryngectomised Patients by Formant Manipulation and Pitch Profile Generation. International Conference of Systems Biology and Bioengineering (ICSBB).
Sharifzadeh, H. R., and McLoughlin, I. V. (2008). Speech Recognition Engine Adaptations for Smart Home Dialogues. IEEE International Conference on Information, Communications and Signal Processing (ICICS).