Profile

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.

Research Interests:

• Machine Learning
• Speech Processing
• Image Processing
• Embedded Systems

Teaching
Current Papers:

• Machine Learning (postgrad course)
• Introduction to Data Science (postgrad course)
• Data Mining (undergrad course) 
• Operating System Fundamentals (undergrad course)

Past Papers:

• Embedded Operating Systems (postgrad course), NTU
• Microprocessor Programming (undergrad course), NTU
• Hardware Fundamentals (undergrad course), Unitec

Publications

Ardekani, I., Pour, S., & Sharifzadeh, H. (2023). Real-time swarming detection in honeybees: Leveraging audio signal processing and machine learning techniques. Acoustics 2023, Sydney, Australia (Vol. 154).

Sardhaei, N., Zygis, M., & Sharifzadeh, H. (2023). Communication in restricted situations: the use of orofacial expressions in different speech modes and when wearing a face mask. The 8th Conference of Gesture and Speech in Interaction (GeSpIn), Nijmegen, Netherlands.

Sharifzadeh, H., Pour, S., Keivanmarz, A., & Ardekani, I. (2023). Vein Pattern Visualisation: A Biometric Tool for Investigating CSAM Cases. 23rd Triennial Meeting of International Association of Forensic Sciences (IAFS), Australia.

Kaur, M., Ardekani, I., Sharifzadeh, H., & Pour, S. (2022). A CNN-Based Identification of Honeybees' Infection using Augmentation. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).

Ardekani, I., Sharifzadeh, H., & Pour, S. (2022). Bayesian Active Noise Control. Conference of the Acoustical Society of New Zealand.

Ardekani, I., Pour, S., & Sharifzadeh, H. (2022). Acoustic signal processing systems for intelligent beehive monitoring. Conference of the Acoustical Society of New Zealand.

Sardhaei, N. M., Żygis, M., & Sharifzadeh, H. (2022). How do our eyebrows respond to masks and whispering? The case of Persian. Interspeech 2022.

Ardekani, I., Sharifzadeh, H., & Pour, S. (2022). Practical Active Noise Control Algorithms in Bayesian Inversion Framework. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).

Sharifzadeh, H., Pour, S., Francis, X., Fleming, R., & Ardekani, I. (2022). Aiding Forensic Investigations using Machine Learning. 2022 Artificial Intelligence Researchers Association Annual Conference, Christchurch, New Zealand.

Pour, S., & Sharifzadeh, H. (2021). Visualising vein patterns using deep learning for forensic investigation. Unitec-MIT Research Symposium, Online.

Sabaee, M. E., & Sharifzadeh, H. (2021). Acoustic Features of Dysphonic Speech vs Normal Speech in New Zealand English Speakers. CITRENZ 2021.

Varastehpour, S., Sharifzadeh, H., & Ardekani, I. (2021). A Comprehensive Review of Deep Learning Algorithms. Unitec ePress Occasional and Discussion Paper Series (Vol. Series 2021/4).

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).

McLoughlin, I., Perrotin, O., Sharifzadeh, H., Allen, J., & Song, Y. (2020). Automated Assessment of Glottal Dysfunction Through Unified Acoustic Voice Analysis. Journal of Voice (Vol. online).

Tong, H., Sharifzadeh, H., & McLoughlin, I. (2020). Automatic Assessment of Dysarthric Severity Level Using Audio-Video Cross-Modal Approach in Deep Learning. INTERSPEECH 2020.

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).

Varastehpour, S., Sharifzadeh, H., Ardekani, I., & Sarrafzadeh, A. (2020). Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns. Unitec ePress Paper Series (Vol. 2020(3)).

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).

Dassanayake, W., Jayawardena, J., Ardekani, I., & Sharifzadeh, H. (2019). Models applied in stock market prediction: a literature survey. Unitec ePress Series (Vol. 2019(1)).

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., Kaipio, J., & Sharifzadeh, H. (2018). Bayesian parameter estimation of Euler-Bernoulli beams. 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).

McLoughlin, I., Li, J., Song, Y., & Sharifzadeh, H.R. (2017). Speech reconstruction using a deep partially supervised neural network. IET Healthcare Technology Letters (Vol. 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.
https://hdl.handle.net/10652/3534

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).
https://hdl.handle.net/10652/3351

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).
https://hdl.handle.net/10652/3352

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.
https://hdl.handle.net/10652/2972

Sharifzadeh, H. R., and McLoughlin, I. V. (2013). Larynx: Surgical Procedures, Complications and Disorders. Nova Science Publishers, New York.

Sharifzadeh, H. R. (2012). Reconstruction of Natural Sounding Speech from Whispers. Nanyang Technological University, Singapore.

Sharifzadeh, H. R., McLoughlin, I. V., and Russell, M. J. (2012). A Comprehensive Vowel Space for Whispered Speech. Journal of Voice.

Sharifzadeh, H. R., and McLoughlin, I. V. (2012). Whisper Vowel Diagrams for Singapore English. International Conference on Communications.

Sharifzadeh, H. R., and McLoughlin, I. V. (2012). Bionic Voice for Laryngectomees with an Insight into Whispered Vowels. Laryngology.

McLoughlin, I. V., and Sharifzadeh, H. R. (2012). METHOD AND SYSTEM FOR RECONSTRUCTING SPEECH FROM AN INPUT SIGNAL COMPRISING WHISPERS. US Patent 20120150544.

Sharifzadeh, H. R., and McLoughlin, I. V. (2011). Artificial Phonation for Patients Suffering Voice Box Lesions. International Symposium on Bioengineering.

Sharifzadeh, H. R., and McLoughlin, I. V. (2010). Speech Rehabilitation Methods for Laryngectomised Patients. Electronic Engineering and Computing Technology, Springer.

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., McLoughlin, I. V., and Russell, M. J. (2010). Toward a Comprehensive Vowel Space for Whispered Speech. International Symposium on Chinese Spoken Language Processing.

Sharifzadeh, H. R., and McLoughlin, I. V. (2010). Spectral Enhancement of Whispered Speech Based on Probability Mass Function. Advanced International Conference on Telecommunications.

Ahmadi, F., McLoughlin, I. V., and Sharifzadeh, H. R. (2010). Autoregressive Modelling for Linear Prediction of Ultrasonic Speech. InterSpeech.

Ahmadi, F., McLoughlin, I. V., and Sharifzadeh, H. R. (2010). Linear Predictive Analysis for Ultrasonic Speech. IET Electronics Letters.

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., McLoughlin, I. V., and Ahmadi, F. (2009). Voiced Speech from Whispers for Post-Laryngectomised Patients. IAENG International Journal of Computer Science.

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).

Ahmadi, F., Sharifzadeh, H. R., and McLoughlin, I. V. (2008). Analysis-by-Synthesis Method for Whisper-Speech Reconstruction. IEEE Asia Pacic Conference on Circuits and Systems (APCCAS).

Sharifzadeh, H. R., and McLoughlin, I. V. (2008). Regeneration of Speech in Voice-Loss Patients. International Conference on Biomedical Engineering (ICBME).

McLoughlin, I. V., and Sharifzadeh, H. R. (2008). Speech Recognition for Smart Homes. Speech Recognition Technologies and Applications, InTech Publications.