Falih G. Febrinanto

Ballarat, VIC 3350, Australia


Welcome! I am a PhD candidate at Federation University Australia, Australia, and I am also affiliated with CSIRO’s Data61. During my candidature, I have been supported by the Data61 PhD Scholarship.

I hold a Master of Technology degree from Federation University Australia, Australia, specializing in enterprise systems and business analytics. Before that, I completed my Bachelor of Computer Science from Brawijaya University, Indonesia.

I am interested in the fields of Artificial Intelligence, Graph Learning, and Anomaly Detection. Recently, my research has been centred around harnessing the capabilities of graph neural networks to detect anomalies. In the past year, I have been actively applying this technique to different domains, such as cyber-physical systems and the detection of brain diseases.

E-mail: f.falih.outlook.com; [email protected]; [email protected]


Jan 15, 2023 I will be presenting my work at Doctoral Consortium, WSDM 2023, Singapore.
Aug 30, 2022 Completed my Confirmation of Candidature milestone. :sparkles:
Sep 1, 2021 I am starting my PhD at Federation University Australia.

selected publications

    Graph lifelong learning: A survey
    Falih Gozi Febrinanto, Feng Xia, Kristen Moore, and 2 more authors
    IEEE Computational Intelligence Magazine, 2023
  2. WSDM
    Efficient Graph Learning for Anomaly Detection Systems
    Falih Gozi Febrinanto
    In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023