Dr Falih Febrinanto
ARC Grant-Funded Researcher A
School of Biological Sciences
College of Sciences
| Language | Competency |
|---|---|
| English | Can read, write, speak, understand spoken and peer review |
| Indonesian | Can read, write, speak, understand spoken and peer review |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2025 | Federation University Australia | Australia | PhD |
| 2021 | Federation University Australia | Australia | Master |
| 2018 | Universitas Brawijaya | Indonesia | Bachelor |
| Year | Citation |
|---|---|
| 2026 | Febrinanto, F. G., Moore, K., Thapa, C., Ma, J., & Saikrishna, V. (2026). SIGNL: A label-efficient audio deepfake detection system via spectral-temporal graph non-contrastive learning. Expert Systems with Applications, 307, 131056. |
| 2025 | Febrinanto, F. G., Simango, A., Xu, C., Zhou, J., Ma, J., Tyagi, S., & Xia, F. (2025). Refined causal graph structure learning via curvature for brain disease classification. Artificial Intelligence Review, 58(8). |
| 2025 | Rabooki, S. F., Li, B., Febrinanto, F. G., Peng, C., Naghizade, E., Han, F., & Xia, F. (2025). GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection. IEEE Transactions on Computational Social Systems, 1-13. Scopus1 |
| 2025 | Febrinanto, F. G., Moore, K., Thapa, C., Liu, M., Saikrishna, V., Ma, J., & Xia, F. (2025). Entropy Causal Graphs for Multivariate Time Series Anomaly Detection. ACM Transactions on Intelligent Systems and Technology, 16(6), 1-25. |
| 2024 | Yu, S., Xia, F., Wang, Y., Li, S., Febrinanto, F. G., & Chetty, M. (2024). PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. IEEE Transactions on Computational Social Systems, 11(1), 717-730. Scopus4 |
| 2024 | Dafik., Mursyidah, I. L., Agustin, I. H., Baihaki, R. I., Febrinanto, F. G., Husain, S. K. B. S., & Sunder, R. (2024). On Rainbow Vertex Antimagic Coloring and Its Application on STGNN Time Series Forecasting on Subsidized Diesel Consumption. Iaeng International Journal of Applied Mathematics, 54(5), 984-996. Scopus7 |
| 2023 | Febrinanto, F. G., Xia, F., Moore, K., Thapa, C., & Aggarwal, C. (2023). Graph Lifelong Learning: A Survey. IEEE Computational Intelligence Magazine, 18(1), 32-51. Scopus55 |
| 2022 | Wang, L., Yu, S., Febrinanto, F. G., Alqahtani, F., & El-Tobely, T. E. (2022). Fairness-Aware Predictive Graph Learning in Social Networks. Mathematics, 10(15), 2696. Scopus3 |
| 2021 | Febrinanto, F. G., Dafik., & Nisviasari, R. (2021). The implementation of Blockchain framework in MOOCs to support a freedom of learning in Indonesia. Journal of Physics Conference Series, 1836(1), 012043. Scopus2 |
| 2019 | Febrinanto, F. G., Dewi, C., & Triwiratno, A. (2019). The Implementation of K-Means Algorithm as Image Segmenting Method in Identifying the Citrus Leaves Disease. Iop Conference Series Earth and Environmental Science, 243(1), 012024. Scopus20 |
| Year | Citation |
|---|---|
| 2025 | Liu, M., Dong, Q., Wang, C., Cheng, X., Febrinanto, F. G., Hoshyar, A. N., & Xia, F. (2025). Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection. In Lecture Notes in Computer Science (Vol. 15443 LNAI, pp. 376-389). Springer Nature Singapore. DOI Scopus2 |
| 2023 | Febrinanto, F. G., Liu, M., & Xia, F. (2023). Balanced Graph Structure Information for Brain Disease Detection. In Lecture Notes in Computer Science (Vol. 14317 LNAI, pp. 134-143). Springer Nature Singapore. DOI Scopus7 |
| Year | Citation |
|---|---|
| 2025 | Febrinanto, F. G., Moore, K., Thapa, C., Ma, J., Saikrishna, V., & Xia, F. (2025). Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection. In Proceedings of the Annual Conference of the International Speech Communication Association Interspeech (pp. 5358-5362). ISCA. DOI |
| 2023 | Febrinanto, F. G. (2023). Efficient Graph Learning for Anomaly Detection Systems. In Wsdm 2023 Proceedings of the 16th ACM International Conference on Web Search and Data Mining (pp. 1222-1223). ACM. DOI Scopus3 |
| 2022 | Zhang, C., Febrinanto, F., Liu, M., Kong, X., Zhang, D., & Islam, S. M. N. (2022). Attractiveness based conference ranking. In Proceedings of the ACM Symposium on Applied Computing (pp. 803-806). ACM. DOI |
| 2021 | Feng, Z., Hou, M., Liu, H., Liu, M., Kaur, A., Febrinanto, F. G., & Zhao, W. (2021). SmartColor: Automatic Web Color Scheme Generation Based on Deep Learning. In 2021 12th International Conference on Information and Communication Systems Icics 2021 (pp. 285-290). IEEE. DOI Scopus2 |
| 2021 | Hou, M., Ren, J., Febrinanto, F., Shehzad, A., & Xia, F. (2021). Cross Network Representation Matching with Outliers. In IEEE International Conference on Data Mining Workshops Icdmw Vol. 2021-December (pp. 951-958). IEEE. DOI Scopus2 |
| Year | Citation |
|---|---|
| 2024 | Liu, M., Dong, Q., Wang, C., Cheng, X., Febrinanto, F. G., Hoshyar, A. N., & Xia, F. (2024). Motif-induced Subgraph Generative Learning for Explainable Neurological Disorder Detection. DOI |
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