Projects per year
Personal profile
Biography
Raphaël Phan is Professor at Monash University, specializing in security, cryptography and malicious AI. He has published over 90 journal papers and in excess of 120 conference papers. He was the principal investigator for a project on privacy-preserving data mining funded by the UK government & UK Ministry of Defence, and recently led projects with funding in excess of RM3million from the Malaysian government & industry.
Raphaël was General Chair for Mycrypt 2005 and Asiacrypt 2007, and Technical Program Chair for Mycrypt 2016. He is regularly invited to serve on technical programme committees (TPCs) of internationally leading security conferences; to date having served in over 100 TPCs.
Raphaël has graduated 13 PhD students and currently supervises 18 PhD students; in the areas of security, privacy, emotion recognition, motion analysis and generative AI.
He is co-designer of the hash function BLAKE, one of the five finalists in the U.S. National Institute of Standards and Technology (NIST) SHA-3 Hash Competition for a new hash function standard. Raphaël has Erdős number 2 and h-index 49.
Recent Technical Programme Committees (TPCs)
- 2024: AAAI 2024, Eurocrypt 2024
- 2023: Globecom 2023
His current list of PhD students @Monash
Research interests
- Security
- Privacy
- Cryptography
- Emotion Recognition
- Motion Analysis
- Generative AI
More generally, any area of research related to malice and adversarial behaviour.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Security
- Privacy
- Cryptography
- Emotion Recognition
- Motion Analysis
- Generative AI
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Æinstein: Adversarial AI amongst Materials Discovery Domains
Phan, R., Pal, A., Rajanala, S., Ting, C., Krishnasamy, G., Noman, F., Shu Min, L., Liu, J., Rudolph, C., Steinfeld, R., Siang Piao, C., Tumian, A. & Nik Hashim, N. N. W.
1/06/24 → 31/05/26
Project: Research
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Unveiling the Parkinson’s disease tremor clinical marker with explainable artificial intelligence
Ping Yi, C. (Primary Chief Investigator (PCI)), Phan, R. (Chief Investigator (CI)), Agape, A. (Chief Investigator (CI)), Abdul Halim, S. (Chief Investigator (CI)), Cajee, Y. (Partner Investigator (PI)) & Tan, K. (Partner Investigator (PI))
1/10/23 → 30/09/26
Project: Research
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A Novel Framework for Personalized Prediction of Neurological Diseases from Brain Networks using Signal decomposition and Graph Deep Learning Techniques
Ting, C.-M. (Primary Chief Investigator (PCI)), Lian, T. C. (Chief Investigator (CI)), Phan, R. (Chief Investigator (CI)), Wong, K. S. (Chief Investigator (CI)), Ombao, H. (Chief Investigator (CI)) & Tan, H. J. (Chief Investigator (CI))
1/10/23 → 30/09/26
Project: Research
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Post-Quantum Cryptography in the Indo-Pacific
Steinfeld, R. (Primary Chief Investigator (PCI)), Esgin, M. (Chief Investigator (CI)), Sakzad, A. (Chief Investigator (CI)), Rudolph, C. (Chief Investigator (CI)), Phan, R. (Chief Investigator (CI)) & Boorman, J. (Chief Investigator (CI))
Bureau of East Asian and Pacific Affairs (United States of America)
26/09/22 → 30/09/25
Project: Research
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ActNetFormer: Transformer-ResNet Hybrid Method for Semi-supervised Action Recognition in Videos
Dass, S. D. S., Barua, H. B., Krishnasamy, G., Paramesran, R. & Phan, R. C. W., 2025, Pattern Recognition - 27th International Conference, ICPR 2024 Kolkata, India, December 1–5, 2024 Proceedings, Part XV. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Cham Switzerland: Springer, p. 343-359 17 p. (Lecture Notes in Computer Science ; vol. 15315).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus) -
A Comparative Study of Deep Learning Models for Image Super-Resolution
Lim, J. Y., Chiew, Y. S., Phan, R. C. W. & Wang, X., 2024, Asia Conference on Electronic Technology, ACET 2024. Jiang, X. (ed.). SPIE - International Society for Optical Engineering, 1321105. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13211).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
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A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
Yap, S.-Y., Loo, J. Y., Ting, C.-M., Noman, F., Phan, R. C. W., Razi, A. & Dowe, D. L., 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 5353-5361 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation
Kang, M., Ting, C.-M., Ting, F. F. & Phan, R. C. W., Jul 2024, In: Image and Vision Computing. 147, 9 p., 105057.Research output: Contribution to journal › Article › Research › peer-review
Open Access108 Citations (Scopus) -
A Transformer-free signal encoding module for efficient networked AI systems
Vu, L., Lim, W. H. & Phan, R. C. W., 2024, Proceedings of the 2024 2nd International Workshop on Networked AI Systems. Morabito, R., Jang, S. & M.A. Sayed, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1-6 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile