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Luan (Miles) Pham

Hi! I am Miles (aka. Luan Pham), a final-year PhD candidate in Computer Science. I've been working on Artificial Intelligence for IT Operations (AIOps). I did two internships at Amazon Web Services (AWS) and Microsoft Research. I also worked as a Teaching Assistant at RMIT, and Visiting Researcher at UNSW and UoN during my PhD.

Previously, I was a researcher at Cinnamon AI, where I led numerous client projects and internal research. I also established and led the AI Engineering team. During this time, I created the Residual Masking Network and JDeskew.

In 2020, I obtained my Bachelor's Degree in Computer Science from the Ho Chi Minh City University of Technology (BK HCM). I competed in the National Informatics Olympiad and ACM/ICPC in 2018. In 2016, I founded bklibrary.net.

Selected Publications
I have published the five following research papers during my PhD:
📘 Luan Pham, Victor Nicolet, Joey Dodds, Hui Guan, and Daniel Kroening. EventADL: Open-Box Anomaly Detection and Localization Framework for Events in Cloud-Based Service Systems. FSE 2026 (Full paper, CORE A)
📘 Luan Pham, Huong Ha, Xiuzhen Zhang, and Hongyu Zhang. TORAI: Multi-Source Root Cause Analysis for Blind Spots in Microservice Service Call Graph. FSE 2026 (Full paper, CORE A)
📘 Luan Pham, Hongyu Zhang, Huong Ha, Flora Salim, and Xiuzhen Zhang. RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems. WWW 2025 (Short paper - Oral, CORE A)
📘 Luan Pham, Huong Ha, and Hongyu Zhang. Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?. ASE 2024 (Full paper, CORE A)
📘 Luan Pham, Huong Ha, and Hongyu Zhang. BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection. FSE 2024 (Full paper, CORE A*)

(*) Please check out my Google Scholar for full list of publications and preprints.

Awards and Honors
I have received the following awards and recognitions:

🏆 ACM SIGSOFT Best Artifact Award - FSE'24 (2024).
🏆 ACM SIGSOFT CAPS Travel Award - ASE'24 (2024).
🏆 Runner Up & People's Choice Awards - 3MT Competition, RMIT SCT (2024).
🏆 Quarterly Company Award @ Cinnamon AI (2022).
🏆 Winner System of the ICDAR 2021 Competition on Components Segmentation (2021).
🏆 Winner System of the ICPR 2020 Competition of Text Block Segmentation (2021).
🏆 Certificate of Merit for Excellent Performance in HCMUT (2019-2020).
🏆 Second Prize in the ACM ICPC Regional Contest (2018).
🏆 Third Prize in the Vietnam National Programming Contest (2018).

Scholarships and Grants
I have been awarded the following scholarships and monetary grants:

💰 Google Cloud Credit Award (USD $1000, 2025).
💰 ACM Pingala Interactions in Computing - Travel Grant (USD $1200, 2025).
💰 ACM SIGSOFT CAPS Travel Award - ASE'24 (USD $600, 2024).
💰 Google Research Travel Grant - FSE'24 (AUD $3000, 2024).
💰 Google Cloud Research Grant (USD $1000, 2023).
💰 RMIT Higher Degree by Research (HDR) Scholarship (~AUD $300k, 2022-2025).
💰 Uppsala University Scholarship for Master’s programme (~SEK $277k, 2022).
💰 Nomination for Excellent University Student Scholarship @ HCMUT (2019).

Program Committee & Journal Services
I have served as a Program Committee (PC) member / Reviewer for the following conferences:
🕵️ PC Member, ICSE 2027, ICSE 2026 (Demonstration Track).
🕵️ PC Member, FSE 2026, FSE 2025 (Artifact Track).
🕵️ PC Member, EASE 2026, EASE 2025 (AI Models / Data Track).
🕵️ PC Member, ASE 2026, ASE 2025 (Tool Track).
🕵️ PC Member, MSR 2025 (Junior PC).
🕵️ PC Member, ISSRE 2025 (Artifact Track).
🕵️ PC Member, ACM CAIS 2026 (Main Track).
🕵️ Reviewer, ICML 2026 (Main Track).
🕵️ Reviewer, NeurIPS 2026 (Main Track).
🕵️ Reviewer, IJCAI-ECAI 2026, IJCAI 2025 (Main Track & Survey Track), ECAI 2025 (Main Track & Emergency).
🕵️ Reviewer, ICPR 2022, ICPR 2024, ICPR 2026 (Main Track).
🕵️ Reviewer, KDD 2025 (Artifact Track).
🕵️ Reviewer, ICLR 2025 (SCI-FM Workshop).

I have been invited to review submissions for the following journals:
🕵️ IEEE Transactions on Dependable and Secure Computing, TDSC 2025.
🕵️ IEEE Transactions on Software Engineering, TSE 2025.
🕵️ IEEE Signal Processing Letters, SPL 2025.

Teaching
I have contributed to the following postgraduate courses at RMIT University, Melbourne:

🎓 Teaching Assistant - COSC2667 Data Science Postgraduate Project for RMIT Master students, Sem 1 (2026).
🎓 Teaching Assistant - COSC2667 Data Science Postgraduate Project for RMIT Master students, Sem 2 (2025).
🎓 Teaching Assistant - COSC2667 Data Science Postgraduate Project for RMIT Master students, Sem 1 (2025).
🎓 Course Facilitator - COSC2531 Programming Fundamentals for RMIT Online Master students, Sem 2 (2024).
🎓 Teaching Assistant - COSC2531 Programming Fundamentals for RMIT Master students, Sem 1 (2024).
🎓 Teaching Assistant - COSC2531 Programming Fundamentals for RMIT Master students, Sem 2 (2023).

Industry Experience
🧑‍💻 Apr 2026 - Jul 2026: Research Intern at Microsoft Research.
🧑‍💻 May 2025 - Sep 2025: Applied Scientist Intern at Amazon Web Services (AWS).
🧑‍💻 Jan 2019 - Apr 2023: Leader of the AI Engineering (AIE) Team at Cinnamon AI.
🧑‍💻 Nov 2015 - Jan 2018: Founder of bklibrary.net and freelancer web developer.

Tools
I have developed the following open-source tools during my career:

🤖 RMN: A tool to recognize facial expression from images using Residual Masking Network.
🤖 JDeskew: A tool to deskew document image.
🤖 BARO: A tool for metric-based fault localization for microservice systems.
🤖 RCAEval: A benchmark for root cause analysis.
🤖 mc_compiler: A small compiler for a variant of C using Python.
🤖 Go5: A tool to extract tabular data from images.
🤖 I also released pre-trained weights for large datasets before official releases (e.g., PubLayNet, TATR, ImageNet).