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Lei Song

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

Publications

Sen, S., & Song, L. (2025, 12). Assessment of IIoT Sensor Security Vulnerabilities in AI-Driven Digital Manufacturing [Paper presentation]. ITP Virtual Symposium 2025, Hamilton, New Zealand.

Song, L., Mehr, F., & Sharifzadeh, H. (2025, December). Cosine similarity Filtering for Reliable RAG Pipelines: Advancing Context-Aware Tutoring Systems in Education [Paper presentation]. ITP Virtual Symposium 2025, Hamilton, New Zealand.

Shi, G., Song, L., & Ardekani, I. (2025). Data Compression for Audio-based Smart Beekeeping. the 2025 Smart Sustainability Development Conference

Shi, G., Song, L., & Ardekani, I. (2025). Data Compression for Audio-based Smart Beekeeping. the 2025 Smart Sustainability Development Conference https://doi.org/10.2991/978-94-6463-720-5_10

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.

Bashar, Barmada., Abha, Chitalia., Simon, Dacey., Gerard, Lovell., & Lei, Song. (2023). CAN AN ONLINE ENVIRONMENT REPLACE ON-CAMPUS PROJECT-BASED COMPUTING ASSESSMENT?. ICERI2023 (pp. 1743-1747).

Chitalia, A., Dacey, S., Lovell, G., Song, L., & Barmada, B. (2023). Embedding Mātauranga Māori in Computing Courses: A Case Study. CITRENZ 2023 (pp. 1-4). https://doi.org/10.34074/proc.2401

Lei, Song., & Sachin, Sen. (2022, 12). Spatio-Temporal Data Analysis Aided Fault Detection To Control Wastewater Treatment Plant [Paper presentation]. MIT - Unitec Research Symposium 2022, Auckland, New Zealand.

Lei, Song., Gerard, Lovell., Abha, Chitalia., & Bashar, Barmada. (2022, 12). The Impacts of Cloud Computing on Teaching and Learning: Case study analysis [Paper presentation]. MIT - Unitec Research Symposium 2022, Auckland, New Zealand.

Song, L., Lovell, G., Dacey, S., & Chitalia, A. (2021, December). Spatio-temporal feature extraction used for detection of water pollution in New Zealand rivers. [Paper presentation]. MIT - Unitec Research Symposium 2021, Auckland, New Zealand.

Chitalia, A., Lovell, G., Song, L., & Dacey, S. (2021, December). Teaching a Computing Programme using two different delivery modes: Staff Perspectives from a New Zealand Polytechnic. [Poster presentation]. MIT - Unitec Research Symposium 2021, Auckland, New Zealand.

Pang, Shaoning., Song, Lei., Sarrafzadeh, Abdolhossein., Coulson, Guy., Longley, Ian., & Olivares, Gustavo. (2021). Indoor Emission Sources Detection by Pollutants Interaction Analysis. Applied Sciences, 11(16), 1-12. https://doi.org/10.3390/app11167542

Liesaputra, Veronica., Ramirez-Prado, Guillermo., Barmada, Bashar., & Song, Lei. (2020). Future-Proofing Kiwi Kids Through the Use of Digital Technology. Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 507-513). https://doi.org/10.1145/3328778.3366902

Li, Zuojin., Qing, Yang., Shengfu, Chen., Wei, Zhou., Liukui, Chen., & Lei, Song. (2019). A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data. International Journal of Distributed Sensor Networks (Vol. 15(9)).

Li, Zuojin., Chen, Liukui., Peng, Jun., & Song, Lei. (2015). An Approach to Interesting Objects Detection in Low Quality Image Sequences for Fisheries Management. WSEAS TRANSACTIONS on SIGNAL PROCESSING (Vol. 11).

Dacey, Simon., Song, Lei., Zhu, Lei., & Pang, Shaoning. (2014). Analysis and Configuration of Boundary Difference Calculations. International Conference on Neural Information Processing (Vol. 8836).

Li, Zuojin., Peng, Jun., Chen, Liukui., Gui, Chen., & Song, Lei. (2014). An Energy Computing Method Inspired from Visual Cognitive Function for Dynamic Behavioural Detection in Video Frames. International Journal of Cognitive Informatics and Natural Intelligence (Vol. 8(3)).

Song, Lei., Pang, Shaoning., Longley, Ian., Olivares, Gustavo., & Sarrafzadeh, Abdolhossein. (2014). Spatio-temporal PM2.5 prediction by spatial data aided incremental support vector regression. International Joint Conference on Neural Networks.

Dacey, Simon., Song, Lei., & Pang, Shaoning. (2013). An Intelligent Agent Based Land Encroachment Detection Approach. Minho LeeAkira HiroseZeng-Guang HouRhee Man Kil, International Conference on Neural Information Processing.

Song, Lei., Pang, Shaoning., Chen, Gang., Sarrafzadeh, Hossein., Ban, Tao., & Inoue, Daisuke. (2013). An incremental learning approach to continuous image change detection. International Conference on Fuzzy Systems and Knowledge Discovery.

Lai, Anthony., Song, Lei., Peng, Yiming., Zhang, Peter., Wang, Qili., & Pang, Shaoning. (2012). Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. nternational Conference on Neural Information Processing.

Pang, Shaoning., Song, Lei., & Kasabov, Nik. (2011). Correlation-aided support vector regression for forex time series prediction. Neural Computing and Applications (Vol. 20(8)).