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Falih G. Febrinanto

ARC Grant-Funded Researcher (Level A) · Adelaide University

I am a Postdoctoral Researcher at Wildlife Crime Research Hub, Adelaide University. I completed my PhD in IT at Federation University Australia, supported by the Data61 PhD Scholarship.

I also hold a Master of Technology in Enterprise Systems and Business Analytics from Federation University, and a Bachelor of Computer Science from Brawijaya University, Indonesia.

My research interests include:

  • Signal Processing
  • Artificial Intelligence
  • Graph Learning
  • Anomaly Detection

I have been developing novel approaches for classification and anomaly detection, applying these techniques to domains such as cyber-physical systems, audio signal processing, and brain disease detection.

Contact: f.falih@outlook.com | falih.febrinanto@adelaide.edu.au

News

Oct 3, 2025 I had a short teaching at Hebei University of Science & Technology, China, an offshore partner of Federation University Australia.
Aug 19, 2025 I presented our paper RAIS at INTERSPEECH 2025, Rotterdam — arXiv:2505.24486
Aug 8, 2025 I completed my PhD in Information Technology at Federation University, Australia. ✨

Recent Publications

  1. SIGNL: A label-efficient audio deepfake detection system via spectral-temporal graph non-contrastive learning
    Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, and Vidya Saikrishna
    Expert Systems with Applications, 2026
  2. Refined causal graph structure learning via curvature for brain disease classification
    Falih Gozi Febrinanto, Adonia Simango, Chengpei Xu, Jingjing Zhou, Jiangang Ma, Sonika Tyagi, and Feng Xia
    Artificial Intelligence Review, 2025
  3. Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
    Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, and Feng Xia
    In Interspeech 2025, 2025
  4. Entropy causal graphs for multivariate time series anomaly detection
    Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, and Feng Xia
    ACM Transactions on Intelligent Systems and Technology, 2025
  5. GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection
    Saba Fathi Rabooki, Bowen Li, Falih Gozi Febrinanto, Ciyuan Peng, Elham Naghizade, Fengling Han, and Feng Xia
    IEEE Transactions on Computational Social Systems, 2025
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