Profile

 Research Interests:

• Machine Learning & Deep Learning
• Image Processing
• Software Development

Teaching

Current Papers:

• Cryptography (Cyber security_Level 6 course)
• Programming Principles and Practice (undergrad course)
• Networking Fundamentals (undergrad course)

Past Papers:

• Introduction to Data Science (postgrad course)
• Hardware Fundamentals
• Operating System Fundamentals
• Programming Fundamentals
• UPC 2&3

Publications

HADDAOUI, Seloua., KHLIFA, Nawres., CHIKHI, Salim., VARASTEHPOUR, Soheil., & ADJAILIA, Fouzia. (2024). A Comprehensive Review of Beekeeping Datasets for Precision Apiculture Research. 10th International Conference on Control, Decision and Information Technologies (CoDIT).

Sharifzadeh, Hamid., Keivanmarz, Ali., Varastehpour, Soheil., & Ardekani, Iman. (2024). Vein Pattern Visualisation for CSAM Investigation Using Deep Learning. Australian Journal of Forensic Sciences, Australia (Vol. 56).

Adlakha, R., Varastehpour, S., Shakiba, M., & Ardekani, I. (2024). Comparative Analysis of Long-Short Term Memory, Gated Recurrent Unit, and eXtreme Gradient Boosting for Forex Prediction: A Deep Learning Approach. 1st International Conference on Innovative Engineering Sciences & Technological Research (ICIESTR-2024).

Sharma, A., Varastehpour, S., Ardekani, I., & Sharifzadeh, H. (2024). Bee Disease Varroa Prediction: Utilizing Convolutional Neural Networks with Augmentation for Robust Detection and Identification of Honeybee Infection. 1st International Conference on Innovative Engineering Sciences & Technological Research (ICIESTR-2024).

Ardekani, Iman., Varastehpour, Soheil., Sharifzadeh, Hamid., & Abdulla, Waleed. (2023). Improving ANC Computational Efficiency: A Novel FxLMS Algorithm with Dynamic Response Control. 29th IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE.

Ardekani, Iman., Sharifzadeh, Hamid., & Varastehpour, Soheil. (2023). Dynamic Control of Active Noise Control Systems with Simplified Secondary Path Models. 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023).

Wang, Changjin., Sharifzadeh, Hamid., Varastehpour, Soheil., & Ardekani, Iman. (2023). Analysis and Comparison of Deepfakes Detection Methods for Cross-Library Generalisation. The 20th Annual International Conference on Privacy, Security & Trust, Copenhagen, Denmark (PST2023).

Ardekani, Iman., Varastehpour, Soheil., & Sharifzadeh, Hamid. (2023). Real-time swarming detection in honeybees: Leveraging audio signal processing and machine learning techniques. The Journal of the Acoustical Society of America (Vol. 154).

Sharifzadeh, H., Varastehpour, S., Francis, X., Keivanmarz, A., Fleming, R., Ardekani, I., & Newton, A. (2022). Aiding Forensic Investigations using Machine Learning. The 2022 Artificial Intelligence Researchers Association, Christchurch, New Zealand.

Kaur, Manjit., Ardekani, Iman., Sharifzadeh, Hamid., & Varastehpour, Soheil. (2022). A CNN-Based Identification of Honeybees' Infection using Augmentation. Proceeding of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) 16-18 November 2022, Maldives.

Ardekani, Iman., Sharifzadeh, Hamid., & Varastehpour, Soheil. (2022). Practical Active Noise Control Algorithms in Bayesian Inversion Framework. Proceeding of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) 16-18 November 2022, Maldives.

Ardekani, Iman., Varastehpour, Soheil., & Sharifzadeh, Hamid. (2022). Acoustic signal processing systems for intelligent beehive monitoring. Conference of the Acoustical Society of New Zealand.

Ardekani, Iman., Sharifzadeh, Hamid., & Varastehpour, Soheil. (2022). Bayesian Active Noise Control. Conference of the Acoustical Society of New Zealand.

Varastehpour, Soheil., & Sharifzadeh, Hamid. (2021). Visualising Vein Pattern using Deep Learning for Forensic Investigation. Rangahau Horonuku Hou - 2021 MIT/Unitec Research Symposium, Auckland, New Zealand.

Varastehpour, Soheil., Sharifzadeh, Hamid., & Ardekani, Iman. (2021). A Comprehensive Review of Deep Learning Algorithms. Shannon, M. Auckland, New Zealand (Vol. Unitec ePress).

Varastehpour, Soheil., Sharifzadeh, Hamid., Ardekani, Iman., & Sarrafzadeh, Abdolhossein. (2020). Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns. Shannon, M. Auckland, New Zealand.

Varastehpour, Soheil., Sharifzadeh, Hamid., Ardekani, Iman., &Sarrafzadeh, Abdolhossein. (2020). Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns. Auckland, ePress, Unitec Institute of Technology.

Varastehpour, Soheil. (2020). Visualising Vein Pattern Based on Sparse Auto-Encoder Algorithm. Auckland, School of Computing & Information Technology, Unitec Institute of Technology.

Xavier, F., Sharifzadeh, H., Angus, N., Baghaei, N., & Varastehpour, S. (2019). Learning Wear Patterns on Footwear Outsoles Using Convolutional Neural Networks. The 18th IEEE International Conference on Trust, Security.

Varastehpour, S., Sharifzadeh, H., Ardekani, I., Baghaei, N., & Francis., X. (2019). An Adaptive Method for Vein Recognition Enhancement Using Deep Learning. IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, Ajman, United Arab Emirates.

Francis., X., Sharifzadeh, H., Newton., A., Baghaei, N., & Varastehpour, S. (2019). Feature Enhancement and Denoising of a Forensic Shoeprint Dataset for Tracking Wear-And-Tear Effects. IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, Ajman, United Arab Emirates.

Varastehpour, S., Sharifzadeh, H., Ardekani, I., & Francis., X. (2019). Vein Pattern Visualisation and Feature Extraction Using Sparse Auto-encoder for Forensic Purposes. The 16-th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Taipei, Taiwan.

Varastehpour, S., Sharifzadeh, H., Ardekani, I., & Xavier, F. (2018). A Review of Biometric Traits with Insight into Vein Pattern Recognition. In 16th Annual Conference on Privacy.