Select Publications
Journal articles
2023, 'Enhancing prediction accuracy of physical band gaps in semiconductor materials', Cell Reports Physical Science, 4, http://dx.doi.org/10.1016/j.xcrp.2023.101555
,2022, 'FracDetect: A novel algorithm for 3D fracture detection in digital fractured rocks', Journal of Hydrology, 607, pp. 127482, http://dx.doi.org/10.1016/j.jhydrol.2022.127482
,2021, 'A Novel Optical Sensing Technology for Monitoring Voltage and Current of Overhead Power Lines', IEEE Sensors Journal, 21, pp. 26699 - 26707, http://dx.doi.org/10.1109/JSEN.2021.3119580
,2021, 'Lightweight transfer nets and adversarial data augmentation for photovoltaic series arc fault detection with limited fault data', International Journal of Electrical Power and Energy Systems, 130, http://dx.doi.org/10.1016/j.ijepes.2021.107035
,2021, 'Real-Time Adaptive Differential Feature-Based Protection Scheme for Isolated Microgrids Using Edge Computing', IEEE Systems Journal, 15, pp. 1318 - 1328, http://dx.doi.org/10.1109/JSYST.2020.2986577
,2019, 'DA-DCGAN: An Effective Methodology for DC Series Arc Fault Diagnosis in Photovoltaic Systems', IEEE Access, 7, pp. 45831 - 45840, http://dx.doi.org/10.1109/ACCESS.2019.2909267
,2018, 'Sustainable Deep Learning at Grid Edge for Real-time High Impedance Fault Detection', IEEE Transactions on Sustainable Computing, pp. 1 - 1, http://dx.doi.org/10.1109/tsusc.2018.2879960
,Conference Papers
2024, 'A Tiered Learning Framework for Self-Guided Engineering Design Education', in IEEE Global Engineering Education Conference, EDUCON, http://dx.doi.org/10.1109/EDUCON60312.2024.10578840
,2024, 'ChatGPT in the Classroom: A Shift in Engineering Design Education', in IEEE Global Engineering Education Conference, EDUCON, http://dx.doi.org/10.1109/EDUCON60312.2024.10578884
,2021, 'AusKidTalk: An auditory-visual corpus of 3-to 12-year-old Australian children's speech', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 4351 - 4355, http://dx.doi.org/10.21437/Interspeech.2021-2000
,2019, 'Embedded Edge Computing for Real-time Smart Meter Data Analytics', in SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies, http://dx.doi.org/10.1109/SEST.2019.8849012
,2018, 'Enabling Deep Learning on Embedded Systems for IoT Sensor Data Analytics: Opportunities and Challenges', in 2018 IEEE 9th International Conference on Information and Automation for Sustainability, ICIAfS 2018, http://dx.doi.org/10.1109/ICIAFS.2018.8913352
,2018, 'Deep Neural Network Based Energy Disaggregation', in 2018 6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018, pp. 73 - 77, http://dx.doi.org/10.1109/SEGE.2018.8499441
,2018, 'High Impedance Fault Detection by Convolutional Deep Neural Network', in ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application, http://dx.doi.org/10.1109/ICHVE.2018.8642080
,2018, 'Intelligent edge analytics for load identification in smart meters', in 2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017, pp. 1 - 5, http://dx.doi.org/10.1109/ISGT-Asia.2017.8378414
,2017, 'Intelligent Edge Analytics for Load Identification in Smart Meters', in 2017 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA), IEEE, NEW ZEALAND, Univ Auckland, Auckland, pp. 572 - 576, presented at 7th IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), NEW ZEALAND, Univ Auckland, Auckland, 04 December 2017 - 07 December 2017, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000435854300101&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2017, 'Power quality monitoring of single-wire-earth-return distribution feeders', in International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2017 - Proceeding, Sanur, Indonesia, pp. 404 - 409, presented at 2017 International Conference on High Voltage Engineering and Power Systems (ICHVEPS), Sanur, Indonesia, 02 October 2017 - 05 October 2017, http://dx.doi.org/10.1109/ICHVEPS.2017.8225879
,Preprints
2021, Artificial Intelligence based Sensor Data Analytics Framework for Remote Electricity Network Condition Monitoring, http://dx.doi.org/10.48550/arxiv.2102.03356
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