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).

Dangwal, Karikeye., Ardekani, Iman., Varastehpour, Soheil., & Sarrafzadeh, Abdolhossein. (2024). Bioacoustic Data Augmentation Techniques for Data-Driven Apicultur. 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS).

Chishti, Shafquat., Ardekani, Iman., & Varastehpour, Soheil. (2024). AI-Enhanced Personality Identification of Websites. Information (Vol. 15).

Ramirez-Prado, Guillermo., Barmada,, Bashar., Varastehpour, Soheil., & Shakiba, Masoud. (2024). Empowering Homes: On Navigating Energy Hardship with Consumption Monitoring in New Zealand. The International Conference on Sustainable Development, New York.

Dave, Yash., Varastehpour, Soheil., & Shakiba, Masoud. (2024). Forex Price Prediction: A Multi-Model Approach Integrating Sentiment Analysis Using LLMs with LSTM, XGBoost, Transformer Models. 18th International Conference on Information Technology and Applications (ICITA), Sydney, Australia.

Trehan, Mohita., Varastehpour, Soheil., Shakiba, Masoud., Ramirez Prado, Guillermo., & Barmada, Bashar. (2024). Predicting New Zealand's Stock Market Trends: Combining Sentiment Analysis and Deep Learning. 18th International Conference on Information Technology and Applications (ICITA), Sydney, Australia.

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).

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., 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.

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.

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.