Biography. I am a Senior Lecturer (Tenured) in Computer Science and a Program Manager of the Bachelor of Computer Science at the School of Computing Technologies, RMIT University, Australia. Previously, I worked at the Applied Artificial Intelligence Institute (A2I2), Deakin University, Australia. I received my PhD from the University of Newcastle, Australia in 5/2017.

Research Interests. I have been doing research in both Machine Learning and Software Engineering, focusing on the following topics:

• Bayesian Optimization;

• Automated Machine Learning (AutoML);

• Intelligent Incident Management of Software Systems;

• Intelligent Quality Prediction and Optimization for Software Systems.

✨ I am always looking for highly-motivated and ambitious students who are passionate about research to work with. Contact me if you're interested! 

Recent 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*)!

[Older News]

Awards

• Top High-volume Course at the School of Computing Technologies, RMIT of Semester 1, 2025

• Outstanding Reviewer of KDD 2025 Research Track (CORE A*)

• Special Commendation (i.e. Runner-up) for the 2024 RMIT STEM College Learning and Teaching Award for Excellence – Early Career Educator

• ACM SIGSOFT Best Artifact Award at FSE 2024 (CORE A*)

• Top High-volume Course at the School of Computing Technologies, RMIT of Semester 1, 2024

• Top Course (top 5) at the School of Computing Technologies, RMIT of Semester 2, 2023

• Top Reviewer of NeurIPS 2023 (CORE A*)

• Top Course (top 5) at the School of Computing Technologies, RMIT of Semester 2, 2022

• Top Reviewer of NeurIPS 2022 (CORE A*)

• Highlighted Reviewer of ICLR 2022 (CORE A*)

• Faculty of Engineering and Built Environment Postgraduate Research Prize in Electrical Engineering, University of Newcastle, 2016

• Intel Factory Award Recognition for Innovative ICOS Seal Head Management System, 2012

• Intel QnR Department Award Recognition for Bin Analysis Webpage, 2012

• Intel Vietnam Study Abroad Scholarship (87k USD), 2009-2011

• Second prize in the Vietnam Mathematics Competition for University Students, 2007-2008

Grants

• RMIT RACE Merit Allocation Scheme (3k AUD) - Sole CI, 2025

• OpenAI Researcher Access Grant (10k USD) - Sole CI, 2025

• RMIT RACE Merit Allocation Scheme (3k AUD) - Sole CI, 2025

• RMIT RACE Merit Allocation Scheme (2k AUD) - Sole CI, 2024

• RMIT STEM Capital Equipment Funding Grant (25k AUD) - Lead CI, 2023

• AWS Cloud Credit for Research Grant (10k AUD) - Sole CI, 2023

• Google Cloud Academic Research Grant (7,85k AUD) - Sole CI, 2023

• CSIRO Next Generation Graduates Program - Artificial Intelligence (1,2m AUD) - Co-CI, 2022

• NVIDIA Hardware Grant (RTX A5000 24GB GPU ) - Sole CI, 2022

• ARC Discovery Project Grant (DP220103044), Co-CI, 2022

Teaching

• COSC2531 Programming Fundamentals (2021 - present)

• COSC2820/2815 Advanced Programming in Data Science (2021)

Selected Invited Talks

H. Ha. Causal Inference-based Root Cause Analysis of Incidents of Microservice Systems. Talk given at the Australasian Computer Science Week (ACSW), 2024, Sydney, Australia.

H. Ha. Machine Learning: Opportunities and risks for the future. Talk given to Zista Education Podcast, 2023.

H. Ha. Data-efficient Active Testing of Machine Learning Models. Talk given at the Open Data Science Conference APAC, 2022.

Academic Services

Grant Assessor:

• ARC Discovery Project Grant (2022-present)

• ARC DECRA Grant (2025-present)

Senior Program Committee:

• ACML (2023-present)

Program Committee:

• Machine Learning Conferences: NeurIPS (2020-present), ICLR (2021-present), ICML (2022-present), AAAI (2020-present), AISTATS (2022-present), KDD (2024-present), The WebConf (2025-present), IJCAI (2024-present), ECML-PKDD (2023-present), ECAI (2024-present), NeurIPS Workshop Proposal Track (2024-present)

• Software Engineering Conferences: ASE (2025-present), ICSE Artifact Evaluation Track (2025-present), SPLASH Student Research Competition (2025-present)

Journal Reviewer:

• Machine Learning Journals: TMLR (2022-present), IEEE TPAMI (2020-2022)

• Software Engineering Journals: TSE (2022-present), Journal of Software and Systems (2022-present)