PhD theses

Bowen Yang, "Maket volatility calibration: A neural network approach", Griffith University, Australia (2026-2029)
Nam Trung Nguyen, "AI and Human Security in Developing Countries: Legal Challenges and Vietnam's Response", Griffith University, Australia (2026-2029)
Trinh Pham, "Enhancing Recommender Systems with Privacy-Driven Personalized Explanations", Griffith University, Australia (2025-2028, Principal Supervisor)
Minh Tam Pham, "Efficient and Effective Deepfake Detection System", Griffith University, Australia (2024-2027, Principal Supervisor)
Thanh Dat Hoang, "Conversational Question Answering System with High Precision and Reliability", Griffith University, Australia (2024-2027, Principal Supervisor)
Viet Hung Vu, "A Smart Digital Twin for Bushfire Monitoring and Detection System", Griffith University, Australia (2025-2028)
Chaoqun Yang, "Elastic Federated Learning with Fairness and Privacy Guarantees", Griffith University, Australia (2023-2026) (Best Student Paper Award Runnerup - ADMA 2024)
Darnbi Sakong, "Graph Representation Learning: Advanced Applications and Methods", Griffith University, Australia (2021-2024)
Minh Hieu Nguyen, “On-device Intelligent Recommendation: Challenges and Techniques", Griffith University, Australia (2023-2026)
Ken Quach, “Big Data Analysis and Modeling for Marketing Applications”, Griffith University, Australia (2023-2026) (Best Student Paper Award Runnerup - ADMA 2022, Best Paper Award - RiTA 2022, 3MT winner, Best Paper Award - ADC 2024)
Cailen Robertson, “Distributed processing in IoT Architectures for efficient deep learning”, Griffith University, Australia (2019-2022) (Best Student Paper Award RiTA 2022, Cover story for the first issue of CAAI Transactions on Intelligence Technology in 2025)
Thanh Cong Phan, “Explanation as First-Class Citizen: Methods and Applications”, Griffith University, Australia (2019-2022). (Best Paper Award RITA 2019)
Thanh Toan Nguyen, “Scalable Subgraph Mining: Methods and Applications”, Griffith University, Australia (2019-2023)
Wei Zhang, "Machine Unlearning in Audio Applications", Leibniz University Hannover, Germany (2020-2024). (Co-supervision with Prof. Wolfgang Nejdl and Dr. Zhao Ren)

Master theses

Ken Quach, "Traffic Demand Prediction with Graph Neural Networks", Griffith University, Australia (2022, Honour Degree)
Guanqiao Sui, "Skeptical Learning for Sound Classification", Leibniz University Hannover, Germany (2022)
Mohammad Mehdi Zahed, "Interpretable Machine Learning for Sound Classification", Leibniz University Hannover, Germany (2021)
Cyril van Schreven, “Deepbot : Build a poker bot using Big Data and Deep Learning techniques”, EPFL, Switzerland (2019) (Best Research Master Thesis)
Matthieu Gaston Michel Albert Devaux, ”Deep Learning for Music : Similarity Search and Beyond”, EPFL, Switzerland (2019)
Claudio Leao Loureiro, “Artificial Intelligence for Industrial Applications”, ABB, Switzerland (2019) (Best Industry Master Thesis)

Master projects

Baraa Ragab Tbab, "Debunking Medical Misinformation - Rootcauses, Benchmarks, and Explanations", Leibniz University Hannover, Germany (2021)
Orcun Gumus, “DeepForecast : Joint Fusion Learning of Multiple Time Series Prediction”, EPFL, Switzerland (2018)
Davide Di Dio, “DeepSuccess : Predict the Success of Tech Startups”, EPFL, Switzerland (2018)