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Dr Masoud Shakiba

Senior Lecturer
School of Computing, Electrical and Applied Technology
Location: Building 183, Room 3001

Publications

Lin , F., Shakiba, M., Zhang, E., & Varastehpour, S. (2025). A Recommendation System Model for Instagram Influencer Marketing Campaign. 11th International Conference on Computer Technology Applications (ICCTA 2025), Vienna, Austria (pp. 1-6).

Singh, S P., Shakiba , M., Varastehpour, S., & Aharari, A. (2025). Apple Leaf Disease Detection: A Comprehensive Analysis of Pre-Trained Models and Platform Development. Future Technologies Conference (FTC), Munich, Germany. , Vol. 3 https://doi.org/10.1007/978-3-032-07995-4_6

Singh, S. P., Shakiba, M., Varastehpour, S., & Aharari, A. (2025). Apple Leaf Disease Detection: A Comprehensive Analysis of Pre-Trained Models and Platform Development. Future Technologies Conference (FTC) 2025

Debnath, B., Varastehpour, S., & Shakiba, M. (2025). Clustering and Prediction: Evaluation of Machine Learning Models for Robust Business Operation. 3rd International Conference on Artificial Intelligence and Applications (ICAIA 2025) (pp. 1-11).

Osman, T. A., Ragasa, J. R., Posesione, H., Andrew , D., & Shakiba, M. (2025). Comparative Analysis of Penetration Testing Tools in Assessing Web Application Vulnerabilities. 5th Interdisciplinary Conference on Electrics and Computer (INTCEC 2025) (pp. 1-6). 10.1109/INTCEC65580.2025.11256013

Osman, T.A., Ragasa, J.R., Posesione, H., David, A., & Shakiba, M. (2025). Comparative Analysis of Penetration Testing Tools in Assessing Web Application Vulnerabilities. 5th Interdisciplinary Conference on Electrics and Computer (INTCEC) 2025 10.1109/INTCEC65580.2025.11256013

Thu Tun, M., Varastehpour, S., & Shakiba, M. (2025). Deep Learning Approaches for Predicting Stock Market Trends: A Comparative Study of New Zealand and Australian Markets. 5th International Conference on Advances in Electrical, Electronics and Computing Technology (EECT 2025) (pp. 6-12).

Mangotra, B. D., Varastehpour, S., Shakiba, M., & Sharifzadeh, H. (2025). Evaluating Deep Learning on Deepfake Media across Multi-Datasets. The 6th International Conference on Trends in Computing and Information Technology (ICTCIT 2025), Turkey

Shaw, B., Curtis, J., Matthews, N., David, A., & Shakiba, M. (2025). Evaluating the Potential of Data Recovery on Damaged HDD and USB Storage Devices. 2nd International Conference on Electrical and Computer Engineering Researches (ICECER) 2025 10.1109/ICECER65523.2025.11401315

Sojan, G., Varastehpour, S., & Shakiba, M. (2025). Forex Prediction using Deep Learning: CNN, LSTM, GRU and hybrid models. 3rd International Conference on Artificial Intelligence and Applications (ICAIA 2025) (pp. 1-15).

BARMADA, B., KANNANGARA, M., RAMIREZ-PRADO, G., POUR, S., & SHAKIBA, M. (2025). Humanizing AI Chatbots: The Role of Speech Emotion Recognition with Deep Learning. In Khalid S. Soliman (Ed.), 45th IBIMA Computer Science Conference (pp. 1-9).

Zhang, E., Shakiba, M., Lin, F., Hassandoust, F., & Varastehpour, S. (2025). Optimising Social Media with Gen AI - A Study on SEO Strategies for Influencers. 11th International Conference on Computer Technology Applications (ICCTA 2025), Vienna, Austria (pp. 7-13).

Dave, Y., Varastehpour, S., & Shakiba, M. (2025). Predicting Forex Prices: An Evaluation of Long Short-Term Memory, XGBoost and Transformer Architectures. 5th International Conference on Advances in Electrical, Electronics and Computing Technology (EECT 2025) (pp. 1-6).

Ikeda, A., Pan, J., Sharma, S., Song, L., & Shakiba, M. (2025, December). AI-driven micro-donation integration: Enhancing social impact through seamless financial workflow [Poster presentation]. ITP Rangahau & Research Symposium 2025, Hamilton, New Zealand.

Fonseka, H., Varastehpour, S., Shakiba, M., Golkar, E., & Tien, D. (2025). May ∕ Jun 2025. Convolutional variational auto-encoder and vision transformer hybrid approach for enhanced early Alzheimer’s detection. Journal of Medical Imaging, 12(3), 1-14. 10.1117/1.JMI.12.3.034501

Dave, Y., Varastehpour, S., & Shakiba, M. (2024). Forex Price Prediction: A Multi-Model Approach Integrating Sentiment Analysis Using LLMs with LSTM, XGBoost, Transformer Models. In Abrar Ullah (Eds.), Proceedings of International Conference on Information Technology and Applications (pp. Chapter 20). Sydney.

Trehan, M., Varastehpour, S., Shakiba, M., Ramirez Prado, G., & Barmada, B. (2024). Predicting New Zealand’s Stock Market Trends: Combining Sentiment Analysis and Deep Learning. In Abrar Ullah (Eds.), Proceedings of International Conference on Information Technology and Applications (pp. Chapter 21). Sydney.

An Le, TAL., Shakiba, MS., & Ardekani, IA. (2024, Feb). Sustainable Cyber-Physical Platform for Optimal Greenhouse Growth [Paper presentation]. Smart Sustainable Development (SSD) 2024, Auckland, New Zealand.

Ravichandran, S., Singh, J., David, A., & Shakiba, M. (2024). Bridging the Gap in Comprehensive Network Security and Data Management Through IoT Innovation. 2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC) (pp. 1-6). 10.1109/INTCEC61833.2024.10602733

Adlakha, R., Varastehpour, S., Shakiba, M., & Ardekani, I. (2024). Comparative Analysis of LSTM, GRU, and XGBoost for Forex Prediction: A Deep Learning Approach. The IEEE International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024) (pp. 1-6).

Farnan, M., Pratt, J., David, A., & Shakiba, M. (2024). Digital Forensic Tools: Comparison of Autopsy TSK and Forensic Explorer. 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS) (pp. 1-5). 10.1109/ICITEICS61368.2024.10625076

Nortey, Jesse., Tran, Benny., Montano, Danica., Sanjanwala, Utkarsh., & Shakiba, Masoud. (2024, October). Application of VR Technologies for Driving Mentoring [Poster presentation]. 15th Computing and Information Technology Research and Education New Zealand (CITRENZ), Dunedin.

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

Li, T., Varastehpour, S., & Shakiba, M. (2024, October). Methods in Skill Extraction from Job Descriptions [Poster presentation]. 15th Computing and Information Technology Research and Education New Zealand (CITRENZ), Dunedin.

Thanh Le, A., Shakiba, M., Ardekani, I., & Abdulla, W. (2024). Optimizing Plant Disease Classification with Hybrid Convolutional Neural Network–Recurrent Neural Network and Liquid Time-Constant Network. Applied Sciences, 14 (19), 1-24. 10.3390/app14199118

Thanh Le, A., Shakiba, M., & Ardekani, I. (2024). Tomato disease detection with lightweight recurrent and convolutional deep learning models for sustainable and smart agriculture. Frontiers in Sustainability, 5, 1-6. doi.org/10.3389/frsus.2024.1383182

Shakiba, MS. (2023, May). Cooperative Education. [Paper presentation]. TechTALK - The University of Auckland, Auckland, New Zealand.

Shakiba, MS. (2023, November). IEEE TECHNICAL WORKSHOP ON PROJECT-BASED LEARNING IN COMPUTING. [Paper presentation]. IEEE - University of Technology and Applied Sciences, Muscat, Oman.

Shakiba, M., & Noutash, M. (2022, December). Enhancing organisational performance using a sustainable software monitoring system [Paper presentation]. MIT - Unitec Research Symposium 2022, Online.

Shakiba, M., Latimer, S., Yasheng, Y., & David, A. (2022, December). Penetration testing and mitigation techniques for Windows and Linux [Paper presentation]. MIT - Unitec Research Symposium 2022, Online.

Shakiba, M., Erfanian, M., & Bennett, S. (2022, December). Project-Based Learning - A Successful Capstone Project Experience at Unitec, School of Computing [Paper presentation]. ITP Research Symposium 2022, Invercargill, NZ.

Shakiba, M., & Ardakani, I. (2022, December). Smart Beekeeping using IoT & ML [Paper presentation]. ITP Research Symposium 2022, Invercargill, NZ.

Shakiba, M., Ale Ebrahim, N., Danaee, M., Bakhtiyari, K., & Sundararajan, E. (2016). A Comprehensive Comparison of Educational Growth within Four Different Developing Countries between 1990 and 2012. Revista de Gestão e Secretariado (Vol. 6(3)).

Shakiba, M., Zavvari, A., Ale Ebrahim, N., & Jit Singh, M. (2016). Evaluating the academic trend of RFID technology based on SCI and SSCI publications from 2001 to 2014. Scientometrics (Vol. 109(1)).

Shakiba, M., Jit Singh, M., Tariqul Islam, M., & Sundararajan, E. (2015). Applying Cubic Spline Method to Estimate the Number of RFID Tags in Error-Prone Communication Channels. Wireless Personal Communications (Vol. 83(1)).

Shakiba, M., Jit Singh, M., Sundararajan, E., Zavvari, A., & Tariqul Islam, M. (2014). Extending birthday paradox theory to estimate the number of tags in RFID systems. PloS one (Vol. 9(4)).

Shakiba, M., Bakhtiyari, K., Salehi, H., Embi, MA., Zavari, A., Shahbazi-Moghadam, M., Ale Abrahim, N., & Mohammadjafari, M. (2014). Ethical and unethical methods of plagiarism prevention in academic writing. International Education Studies (Vol. 7(7)).

Shakiba, M., Zavvari, A., Tariqul Islam, M., & Jit Singh, M. (2014). Theoretical analysis of RFID security protocols. 2014 IEEE International Conference on Industrial Engineering and Engineering Management, Malaysia.

Shakiba, M., Ale Ebrahim, N., Salehi, H., Embi, M., Danaee, M., Mohammadjafari, M., Zavvari, A., & Shahbazi-Moghadam, M. (2014). Equality of Google Scholar with Web of Science citations: Case of Malaysian engineering highly cited papers. Modern Applied Science (Vol. 8(5)).

Shakiba, M., Badpa, A., Yavar, B., & Jit Singh, M. (2013). Effects of knowledge management system in disaster management through RFID technology realization. Procedia Technology (Vol. 11).

Shakiba, M., Zavvari, A., Tariqul Islam, M., Sundararajan, E., & Jit Singh, M. (2013). Computational cost analysis on securing RFID protocols conforming to EPC class-1 generation-2 standard. Procedia Technology (Vol. 11).

Shakiba, m., Sundararajan, E., Zavvari, A., & Islam, M. (2013). Cubic spline-based tag estimation method in RFID multi-tags identification process. Canadian Journal of Electrical and Computer Engineering (Vol. 36(1)).

Shakiba, M., Zavvari, A., & Sundararajan, E. (2011). Fitted dynamic framed slotted ALOHA anti-collision algorithm in RFID systems. IEEE - Proceedings of the 5th international Conference on Information Technology & Multimedia, 2011.