Van-Tuan Tran's homepage

My name is Van-Tuan Tran 🇻🇳.

I am inspired by natural intelligence and aim to build collective, adaptable, and efficient intelligent systems.

Previously, I worked as a Data Scientist at AI Lab, MTI Technology Vietnam, and as a Machine Learning Engineer at CB/I Digital Inc.

Currently, I am a PhD candidate at Trinity College Dublin 🇮🇪, supervised by Prof. Marco Ruffini and Dr. Merim Dzaferagic. My PhD focuses on improving the adaptability of Federated Learning systems. I am also deeply interested in Modular Deep Learning and Continual Learning.

Also, check out my projects at gmd-ai.com.

news

Jun 21, 2026	🎉 Paper accepted! 🎉 Is Our Benchmark Enough? An Analysis of Continual Learning for MLLMs has been accepted at the ICML Workshop on Continual Adaptation at Scale (CATS@ICML 2026) — an outcome of the ENFIELD Exchange Scheme.
May 15, 2026	🎉 Paper accepted! 🎉 UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models has been accepted at International Conference on Machine Learning (ICML).
May 15, 2026	🏅 Honored to receive the Gold Reviewer Award at International Conference on Machine Learning (ICML), which comes with a complimentary conference registration.
Mar 19, 2026	🎉 Paper accepted! 🎉 Transferable Multi-Bit Watermarking Across Frozen Diffusion Models via Latent Consistency Bridges has been accepted at ICML Workshop on Technical AI Governance Research (TAIGR).
Jan 20, 2026	🎉 Paper accepted! 🎉 Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection has been accepted at AAAI Conference on Artificial Intelligence.
Nov 26, 2025	🎉 Paper accepted! 🎉 Deepfake Detection Across Image, Video, and Audio: A Comprehensive Survey with Empirical Evaluation of Generalization and Robustness has been accepted at Artificial Intelligence Review (Springer).
Nov 20, 2025	🎉 Paper accepted! 🎉 A Survey on Proactive Deepfake Defense: Disruption and Watermarking has been accepted at ACM Computing Surveys.
Sep 01, 2025	🌍 I am awarded €12,000 from the ENFIELD Exchange Scheme (EU Horizon Europe) for my research proposal “MoSE: Mixture-of-Specialized-Experts” in Adaptive AI.
Jul 01, 2025	🎉 Paper accepted! 🎉 Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation has been accepted at International Joint Conference on Artificial Intelligence (IJCAI).
Jun 19, 2025	📝 New preprint released! FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
Mar 06, 2025	🎉 Paper accepted! 🎉 Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models has been accepted at ICLR Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning (MCDC@ICLR).
Jun 30, 2024	🎉 Paper accepted! 🎉 D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack has been accepted at International Joint Conference on Neural Networks (IJCNN).
Jan 31, 2024	🎉 Paper accepted! 🎉 Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning has been accepted at IEEE Transactions on Emerging Topics in Computing.
Sep 01, 2023	🎓 I am a PhD student at the School of Statistics and Computer Science at Trinity College Dublin 🇮🇪.
Jan 01, 2023	🎉 Paper accepted! 🎉 Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis has been accepted at IEEE Access.
Jan 10, 2022	I join VinUni-Illinois Smart Health Centre 🏥 as Research Assistant to work on the project of Privacy-Preserving, Robust, and Explainable Federated Learning Framework for Healthcare System 🤖🔒🩺. 🔄
Dec 30, 2021	I join MTI Technology Vietnam (AI Lab) 💡 as Data Scientist to work on a research-oriented project, namely AI-Robotics Platform for Remote Point-of-care 🏥🤖.
Nov 09, 2020	I join Vingroup Big Data Institute 🏢🔬 to work as Research Intern on the project Learning from multiple annotators 🧑‍🔬📝🤝.
Sep 01, 2019	I join CB/I Digital Inc. 💼🤖 as Machine Learning Engineer for the Automated Campaign Management project 🚀📈. My role involves designing and implementing ML systems to optimize clients’ digital marketing campaigns 🎯💡.