I am a Research Associate in Data Analytics within the STEM unit at the University of South Australia (UniSA). I received my PhD in Data Science from UniSA in 2021. My research interests span methodological advances in machine learning as well as applied AI in high-impact domains.
My recent research focuses on three main areas:
- Remote Sensing and Earth Observation: Development of onboard AI for early fire-smoke detection using hyperspectral satellite imagery. My work addresses the challenges of lightweight, energy-efficient model deployment on constrained satellite platforms, with applications to upcoming missions. More broadly, my research contributes to advancing AI for Earth observation tasks, including emulation studies,... Read more
About me
I am a Research Associate in Data Analytics within the STEM unit at the University of South Australia (UniSA). I received my PhD in Data Science from UniSA in 2021. My research interests span methodological advances in machine learning as well as applied AI in high-impact domains.
My recent research focuses on three main areas:
- Remote Sensing and Earth Observation: Development of onboard AI for early fire-smoke detection using hyperspectral satellite imagery. My work addresses the challenges of lightweight, energy-efficient model deployment on constrained satellite platforms, with applications to upcoming missions. More broadly, my research contributes to advancing AI for Earth observation tasks, including emulation studies, efficient onboard processing, and robust smoke localization.
- Biomedical Applications: Predictive modeling of epileptic seizures using intracranial EEG and scalp EEG data. My work explores both deep learning and signal-processing-based approaches, including channel coherence analysis and time-series modeling, to improve accuracy, robustness, and clinical interpretability. This research contributes to the broader field of AI for healthcare, with implications for personalized medicine and neurological disorder management.
- Anomaly Detection: Development of novel frameworks that integrate dependency, proximity, and probabilistic modeling for effective detection of rare and abnormal events. My contributions include general frameworks, benchmarking methodologies, and algorithms such as LogDP and LoPAD, which advance both the theoretical foundation and practical applications of anomaly detection across domains.
Alongside my academic research, I bring more than 20 years of experience across academia and industry. Before joining UniSA, I spent over a decade as a software engineer and project manager at Huawei Technologies, contributing to more than 26 international patents in wireless communication. I also have extensive expertise in large-scale software development (Python, R, C, and C++) and project management, leading teams ranging from small groups to projects with over a thousand members.
About me
Doctor of Philosophy University of South Australia
Research
Excludes commercial-in-confidence projects.
On-orbit evaluation and demonstration of energy-efficient fire smoke detection on the Kanyini and the Phi-Sat-2 CubeSat during 2025 and 2026 fire season using HS2 imagery and onboard AI., SmartSat CRC, 18/12/2024 - 18/04/2026
Research
Research outputs for the last seven years are shown below. Some long-standing staff members may have older outputs included. To see earlier years visit ORCID or Scopus
Open access indicates that an output is open access.
Year | Output |
---|---|
2026 |
Open access
|
2025 |
1
|
2024 |
Open access
8
7
127
|
2023 |
Open access
|
2021 |
1
|
Year | Output |
---|---|
2026 |
Open access
|
2025 |
1
|
2024 |
Open access
8
7
127
|
Year | Output |
---|---|
2021 |
1
|
2021 |
Open access
8
|
Year | Output |
---|---|
2023 |
Open access
|
Major Publications
Sha Lu, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu, Jiuyong Li. Dependency-based Anomaly Detection: A General Framework and Comprehensive Evaluation. Expert Systems with Applications, 2026.Sha Lu, Lin Liu, Jiuyong Li, Jordan Chambers, Mark J. Cook, David B. Grayden. Leveraging Channel Coherence in Long-Term iEEG Data for Seizure Prediction. IEEE Journal of Biomedical and Health Informatics, 2025.Sha Lu, Eriita Jones, Liang Zhao, Yu Sun, Kai Qin, Jixue Liu, Jiuyong Li, Prabath Abeysekara, Norman Mueller, Simon Oliver, et al. Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, and Jixue Liu, 2020, May. LoPAD: A Local Prediction Approach to Anomaly Detection. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 660-673) (PAKDD). Springer, Cham. (PAKDD, CORE RANK: A)Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, and Jixue Liu, Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. In 2021 12th IEEE international conference on Big Knowledge (ICBK).Sha Lu, Lin Liu, Jiuyong Li, and Thuc Duy Le, 2018, December. Effective Outlier Detection based on Bayesian Network and Proximity. In 2018 IEEE International Conference on Big Data (IEEE Big Data) (pp. 134-139). (Ranked the 8th in Data Mining & Analysis by Google Scholar)Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, and Jixue Liu. Dependency-based Anomaly Detection: Framework, Methods and Benchmark. arXiv e-prints, pages arXiv-2011, 2020. (Submitted to Machine Learning Journal, under review.)Xie, Y., Zhang, H., Zhang, B., Babar, M.A. and Lu, S., 2021, November. LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection. In International Conference on Service-Oriented Computing (pp. 708-716). Springer, Cham. (ICSOC, CORE RANK: A)Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, and Jixue Liu. Dependency-based Anomaly Detection: Framework, Methods and Benchmark. arXiv e-prints, pages arXiv-2011, 2022. (Submitted to Machine Learning Journal, under review.)Sha Lu, Eriita Jones, Liang Zhao, Yu Sun, Kai Qin, Jixue Liu, Jiuyong Li, Prabath Abeysekara, Norman Mueller, Simon Oliver, Jim O’Hehir, Stefan Peters. Onboard AI for fire smoke detection using Hyperspectral imagery: an emulation for the upcoming Kanyini Hyperscout-2 mission. 2023. (Submitted the Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), under review.)
Project Reports
Peters, Stefan, Sha Lu, Eriita Jones, Jixue Liu, Jiuyong Li, Jim OHehir, Kai Qin, yu Sun, Norman Mueller, Simon Oliver, Energy Efficient Onboard AI for Early Fire-Smoke Detection (SmartSat CRC, 2024)
Other Publications
Sha Lu, Lingfei Xue. Application Development based on Middleware on Set-top Box, Television Technology, vol. 12, pp. 66-67, 2001. Lingfei Xue, Xinzhi Zhou, Jicheng Liu, Sha Lu. Tunnel Fire Alarm System based on Internet. Modern Computer, 2002.
Major Patents
Lu, Sha. 2011. Method and system for use in a connected state handoff of an access terminal. CN101267662B and issued 16 November 2011.Lu, Sha. 2011. A session rejection method, access network and access terminal. US20110222512 A1, filed 12 May 2011, and issued 12 September 2011.Lu, Sha. Chen, Shunlin. Song, Youli. 2011. System and method for updating UATI of an access terminal. US7876723 B2, filed 26 April 2007, and issued 25 January 2011.Lu, Sha., Chen, S. and Song, Y., 2011. System and method for updating UATI of an access terminal. U.S. Patent 7,876,723.Li Huabing, Liu Jun, Wu Si, Lin Qing, Lu, Sha, Wu Lichang, Cui Yalei , 2011. Method, apparatus and system for automatically witching business. WO2010057385A1, and issued 25 May 2010.Lu, Sha. 2010. Session migration method between access networks and apparatus thereof. WO/2010/063221, filed 26 November 2009, and issued 10 June 2010.Lu, Sha. 2010. Method, system and device for initiating QoS state check. CN101212339A and issued 24 November 2010.Lu, Sha. 2009. Method, device and system for sending a reset message sequence number during switching. US 20090190557 A1, filed 8 April 2009, and issued 30 July 2009.Lu, Sha. 2009. A method for preventing abnormal access terminal to access and access network. US CN100479571C, issued 15 April 2009.Lu, Sha. 2008. A method, device and system for transmitting the sequence number of the reset message during the handover process. WO2008083544 A1, filed 25 October 2007, and issued 17 July 2008.Lu, Sha. 2008. A method, system, access network and access terminal for releasing QOS resource. WO2008064578 A1, filed 18 May 2007, and issued 5 June 2008.Chen, Shunlin, Lu, Sha, Dai, Mingtao. 2009. Method for terminal to access network, base station controller. CN101355784B and issued 27 March 2013.Chen, Shunlin, Lu, Sha, Dai, Mingtao. 2009. Method for terminal to access network, base station controller. CN101355784A and issued 28 January 2009.Lu, Sha. Liu yang. 2006. Method for detecting service chain circuit between access terminal and access network. CN1866957B, filed 26 December 2005, and issued 22 November 2006.
Research
Professional Activities
· PC member of Australasian Joint Conference on Artificial Intelligence, 2019.
· PC member of Australasian Data Mining Conference (AusDM) (research track), 2019.
· Reviewer of International Journal of Data Science and Analytics (Springer), 2021.
· Subreviewer of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (A*)
· Subreviewer of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020. (A*)
· Subreviewer of Conference on Information and Knowledge Management (CIKM), 2019. (A)
· Subreviewer of International Conference on Web Information System Engineering (WISE), 2018. (A)
Recognition
· Travel Grant of Decisions Cooperative Research Centre (D2D CRC) Applied Research Program, 2019.
· Honourable Mention in Three Minute Thesis (3MT) of Information Technology and Mathematics Science School (ITMS), 2019.
· Research Training Program domestic (RTPd) Scholarship, 2017.
· Decisions Cooperative Research Centre (D2D CRC) PhD Scholarship, 2017.
· Best Presenter of the Seminar Series of Data Analysis Group (DAG), UniSA, 2nd round 2018.
· Best Presenter of the Seminar Series of Data Analysis Group (DAG), UniSA, 2nd round 2019.
External engagement & recognition
Organisation | Country |
---|---|
Curtin University | AUSTRALIA |
Geoscience Australia | AUSTRALIA |
Heifei University of Technology | CHINA |
Swinburne University of Technology | AUSTRALIA |
University of Adelaide | AUSTRALIA |
University of Melbourne | AUSTRALIA |
University of Newcastle | AUSTRALIA |
University of South Australia | AUSTRALIA |
External engagement & recognition
· Top Ten Excellent Project Managers, Wireless Product Line, Huawei Technologies Co., Ltd., 2008.
· Excellent Research and Development Team Award, Wireless Product Line, Huawei Technologies Co., Ltd. 2006.
· Excellent Research and Development Team Award, Wireless Product Line, Huawei Technologies Co., Ltd. 2010.
Teaching & student supervision
Supervisions from 2010 shown
Thesis title | Student status |
---|---|
Multi-Scale Deep Learning Wildfire Monitoring System with Attention Mechanisms | Current |
Transformer-based causal inference methods for temporal data with latent confounders | Current |