News
Jul 2025: My course COSC2531 Programming Fundamentals was recognized as a Top high-volume course at the School of Computing Technologies, RMIT!
Jul 2025: Our paper MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning has been accepted as a full paper (Main track) at ECAI 2025 (CORE A)!
Jun 2025: I was recognized as an outstanding reviewer at KDD 2025 (Research Track - Feb Cycle)!
May 2025: Welcome Thuan to the team! Thuan will do a PhD in Computer Science, focusing on Solving Mathematical Problems with LLMs, under the supervision of myself, Dr. Hung Pham Viet, Dr. Son Dao, and Dr. Hiep Tran!
Apr 2025: Welcome Thanh to the team! Thanh will do a PhD in Computer Science, focusing on Fraud Detection for Blockchain Networks, under the supervision of Dr. Son Hoang Dau, Dr. Jeff Nijsse, and myself!
Jan 2025: I was awarded the OpenAI Researcher Access grant, which provides me with 10,000 USD credits to use GPT-4 for my research!
Jan 2025: Our paper RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data has been accepted to the Resource Track of the ACM Web Conference 2025 (CORE A*)!
Dec 2024: Our paper Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour has been accepted as a full paper at AAMAS 2025 (CORE A*)!
Dec 2024: I got a special commendation (i.e., runner-up) for the 2024 RMIT STEM College Learning and Teaching Award for Excellence – Early Career Educator!
Dec 2024: Our paper BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings has been accepted as a full paper (Main Technical track) at AAAI 2025 (CORE A*)!
Aug 2024: Our paper Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We? has been accepted as a full paper (Research track) at ASE 2024 (CORE A*)!
Jul 2024: The artifact of our accepted FSE 2024 (CORE A*) paper BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection has won the Best Artifact Award!
Jul 2024: My course COSC2531 Programming Fundamentals has been recognized as a top high-volume course at the School of Computing Technologies, RMIT University!
Jun 2024: Welcome Henry to the team! Henry will do his PhD in Computer Science, focusing on Software Engineering, under the supervision of myself, Prof. Jenny Zhang, and Prof. Hongyu Zhang.
Apr 2024: Our paper BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection has been accepted as a full paper (Research track) at FSE 2024 (CORE A*)!
Apr 2024: Welcome Hoang to the team! Hoang will do his PhD in Computer Science, focusing on Software Engineering, under the supervision of myself, Dr. Tri Dang, Prof. Jeffrey Chan, and Prof. Hongyu Zhang.
Jan 2024: Welcome Natasha to the team! Natasha will do her PhD in Computer Science, focusing on Bayesian Optimization, under the supervision of Prof. Jeffrey Chan, and myself.
Jan 2024: Our paper High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy has been accepted for long submission at the Transaction of Machine Learning Research!