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Dr Sirojan Tharmakulasingam
Research Associate

Dr Sirojan Tharmakulasingam

  • Doctor of Philosophy (University of New South Wales, Sydney, Australia)
  • Bachelor of the Science of Engineering (University of Moratuwa, Sri Lanka)

 

Engineering
Electrical Engineering and Telecommunications

Dr Sirojan Tharmakulasingam is a Research Associate | Research and Development Coordinator with the Signals, Information & Machine Intelligence lab, UNSW Sydney. His primary research interests are in the fields of Machine Intelligence, Data Analytics, Edge Computing and High Performance Computing. Actively working on developing Artificial Intelligence based next generation inference models via integrating the knowledge in machine learning, signal processing, mathematical modelling and computing into various forms of Data such as image, video, audio and atomic data in Quantum molecules.
E-mail
t.sirojan@unsw.edu.au
Location
Room 447, EE&T Building (G17), UNSW Sydney
  • Journal articles | 2022
    Ramandi HL; Irtza S; Sirojan T; Naman A; Mathew R; Sethu V; Roshan H, 2022, 'FracDetect: A novel algorithm for 3D fracture detection in digital fractured rocks', Journal of Hydrology, 607, http://dx.doi.org/10.1016/j.jhydrol.2022.127482
    Journal articles | 2021
    Arunan A; Sirojan T; Ravishankar J; Ambikairajah E, 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
    Journal articles | 2021
    Lu S; Ma R; Sirojan T; Phung BT; Zhang D, 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, pp. 107035 - 107035, http://dx.doi.org/10.1016/j.ijepes.2021.107035
    Journal articles | 2021
    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
    Journal articles | 2019
    Lu S; Sirojan T; Phung BT; Zhang D; Ambikairajah E, 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
    Journal articles | 2018
    Tharmakulasingam S; Lu S; Phung BT; Zhang D; Ambikairajah E, 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 | 2021
    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, ISCA, pp. 4351 - 4355, presented at Interspeech 2021, http://dx.doi.org/10.21437/Interspeech.2021-2000
    Preprints | 2021
    2021, Artificial Intelligence based Sensor Data Analytics Framework for Remote Electricity Network Condition Monitoring, , http://dx.doi.org/10.48550/arxiv.2102.03356
    Conference Papers | 2019
    Sirojan T; Lu S; Phung BT; Zhang D; Ambikairajah E, 2019, '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
    Conference Papers | 2019
    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
    Conference Papers | 2018
    Sirojan T; Phung T; Ambikairajah E, 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
    Conference Papers | 2018
    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
    Conference Papers | 2018
    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
    Conference Papers | 2017
    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
    Conference Papers | 2017
    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

Research Interests include:

  • Developing Artificial Intelligence based inference models
  • Developing low latency data analytics solutions for monitoring systems