- Current students
- Under 25s
Academic Programme Manager
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 in 2014.
- Machine Learning
- Speech Processing
- Image Processing
- Embedded Systems
- Machine Learning (postgrad course)
- Introduction to Data Science (postgrad course)
- Data Mining (undergrad course)
- Operating System Fundamentals (undergrad course)
- Embedded Operating Systems (postgrad course), NTU
- Microprocessor Programming (undergrad course), NTU
- Hardware Fundamentals (undergrad course), Unitec
Graduate supervision of completed theses/dissertations
Doctoral theses supervised by Hamid Sharifzadeh as Principal Supervisor
Varastehpour, Soheil (2020). Visualising vein pattern based on sparse auto-encoder algorithm (Doctor of Computing)
Doctoral theses supervised by Hamid Sharifzadeh as Associate Supervisor
Andrews, Regan Lee (2021). Deep correlation learning for urban air quality: Analysis and prediction in New Zealand (Doctor of Computing)
Masters theses or dissertations
Masters theses or dissertations supervised by Hamid Sharifzadeh as Principal Supervisor
Wang, Changjin (2021). A framework for analysis and comparison of deepfakes detection methods (Master of Computing)
Tong, Han (2020). Automatic assessment of dysarthric severity level using audio-video cross-modal approach in deep learning (Master of Computing)
Francis, Xavier S. (2019). Modelling wear patterns on footwear outsoles (Master of Computing)
Masters theses or dissertations supervised by Hamid Sharifzadeh as Associate Supervisor
Wang, Lu (2020). Analysis of the metrics that influence the performance of SOAP/XML message routing in ESB Applications (Master of Computing)
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)
Dassanayake, W., Ardekani, I., Jayawardena, C., & Sharifzadeh, H. (2021). Effectiveness of Stock Index Forecasting using ARIMA model: Evidence from New Zealand. 2021 International Conference on Advancements in Computing (ICAC).
Sabaee, M. E., Sharifzadeh, H., Allen, J., & Ardekani, I. (2021). Measurement of Formant Frequency in /hVd/ Words of Distorted Speech in Adult New Zealanders. 2021 IEEE Region 10 Symposium (TENSYMP 2021).
Sarrafpour, B., Alomirah, A., Sarrafpour, S., & Sharifzadeh, H. (2021). An Adaptive Edge-Based Steganography Algorithm for Hiding Text into Images. 24th IEEE International Conference on Computational Science and Engineering (CSE).
Keivanmarz, A., Sharifzadeh, H., & Fleming, R. (2020). Vein Pattern Visualisation using Conditional Generative Adversarial Networks. IEEE Asia-Pacific Signal and Information Processing Association Conference (APSIPA 2020).
Peng, R., Ardekani, I., & Sharifzadeh, H. (2020). An Acoustic Signal Processing System for Identification of Queen-less Beehives. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
BOONRAT, W., VAIDYA, V., BAGHAEI, N., SHARIFZADEH, H., AHMED, A., & CASEY, J. (2020). Enhancing Customers' Knowledge and Decision Making using Augmented Reality. Hyo-Jeong SO, Ma. Mercedes RODRIGO, Jon MASON, Antonija MITROVIC, 28th International Conference on Computers in Education (Vol. 1).
Dassanayake, W., ARDEKANI, I., JAYAWARDENA, C., SHARIFZADEH, H., & GAMAGE, N. (2020). FORECASTING ACCURACY OF HOLT-WINTERS EXPONENTIAL SMOOTHING: EVIDENCE FROM NEW ZEALAND. New Zealand Journal of Applied Business Research (Vol. 17(1)).
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).
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).
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).
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).
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). Learning Wear Patterns on Footwear Outsoles Using Convolutional Neural Networks. 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).
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).
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).
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).
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).
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.
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.
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).
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.
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.
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)).
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., 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).
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).
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., 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).