MICHAEL FU 🏀

🧐Research Statement 👨‍🏫Teaching Statement
• 👋 Greetings!

I'm currently a final-year PhD student (thesis under examination) in the Department of Software Systems and Cybersecurity at Monash University.

In response to the ever-growing cybersecurity challenges in our digital realm, my research is dedicated to equipping developers with cutting-edge tools that proactively address security concerns within the code itself. A tangible outcome of this effort is AIBugHunter, a deep learning-based software security tool now available as an open-source solution in the VSCode Marketplace. Boasting over 1,000 downloads, AIBugHunter stands out for its ability to detect and locate line-level vulnerabilities, identify vulnerability types (CWE-IDs), estimate CVSS severity, and suggest automatic repair patches directly within developers' IDEs.

Beyond academic recognition through publications in prestigious venues like ICSE, FSE, and TSE, our work has made a significant impact on the broader community. AIBugHunter has not only garnered attention within the academic sphere but has also been featured in reputable Australian media outlets, including coverage in the Australian Cybersecurity Magazine.

I am originally from Taipei, Taiwan. I currently live in Melbourne, Australia with my partner.

🚀 Actively seeking new career opportunities

• 🔨 Build Neural Networks & Large Language Models

  • ► Transformers
  • ► Recurrent Neural Networks
  • ► Graph Neural Networks

• 🧠 Train for Cybersecurity Purposes

  • ► Detect Software Vulnerabilities in Large Code Base
  • ► Explain Vulnerability Types
  • ► Suggest Automated Vulnerability Repairs

• 🧰 Deploy as Practical Security Tools

  • ► A Deep Learning-based Real-Time Security Testing Tool in IDEs (Website | Free Download)

Publication

• Citations: 699 | h-index: 8 | i-10 index: 8
• 📄 DecipherGuard: Understanding and Deciphering Jailbreak Prompts for a Safer Deployment of Intelligent Software Systems
  Under Review at TSE
• 📄 RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice
  Under Review at JSS
• 📄 AI for DevSecOps: A Landscape and Future Opportunities
  Under Review at TOSEM
• 📄 Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities
  Under Review at TDSC
• 📄 Vision Transformer-Inspired Automated Vulnerability Repair
  Accepted at TOSEM'23 | Impact Factor: 6.6
• 📄 Chatgpt for vulnerability detection, classification, and repair: How far are we?
  Accepted at APSEC'23
• 📄 VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types
  Accepted at TSE'23, ICSE'24 (Journal-First) | Impact Factor: 6.5
• 📄 AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities
  Accepted at EMSE'24, ICSE'24 (Journal-First) | Impact Factor: 4.8
• 📄 Toward More Effective Deep Learning-based Automated Software Vulnerability Prediction, Classification, and Repair
  Accepted at ICSE'23 | Conference Rank: CORE A*
• 📄 VulRepair: a T5-based automated software vulnerability repair
  Accepted at FSE'22 | Conference Rank: CORE A*
• 📄 LineVul: A Transformer-based Line-Level Vulnerability Prediction
  Accepted at MSR'22 | Conference Rank: CORE A
• 📄 GPT2SP: A transformer-based agile story point estimation approach
  Accepted at TSE'22 | Impact Factor: 6.5
• 📄 Pyexplainer: Explaining the predictions of just-in-time defect models
  Accepted at ASE'21 | Conference Rank: CORE A*

🏆Award🏆

• Distinguished Reviewer Award in MSR 2024 | Conference Rank: CORE A
• ACM SIGSOFT Distinguished Paper Award in ASE 2021 | Conference Rank: CORE A*
• High Distinction Graduate Award for my master degree at Monash University
• Special Invitees in MSR 2022 to submit an extended paper to the EMSE journal

Teaching

• 👨‍💻 Lecturer in a graduate research training program, IT Quantitative Research Methods in 2024 at Monash University
• 👨‍💻 Guest Lecturer in a postgraduate unit, FIT5136 - Software Engineering, where I taught topics related to software engineering, cybersecurity, and AI in S1 2024 at Monash University
• 👨‍🏫 Teaching Associate in a postgraduate unit, FIT5215 - Deep Learning, where I taught technical contents such as mathematical fundamentals for deep learning, basic deep learning architectures like RNNs and CNNs, and advanced topics including Transformers, diffusion models, and adversarial learning in S2 2024 at Monash University
  📝 Student Evaluation: 92/100 (Very High, Exceeding expectations). 🔍 View report.
• 👨‍🏫 Teaching Associate in a postgraduate unit, FIT5136 - Software Engineering, where I taught software engineering concepts from agile planning to object-oriented software implementation in S2 2024 at Monash University
  📝 Student Evaluation: 98/100 (Very High, Exceeding expectations). 🔍 View report.

Student Testimonials

• ✅ I enjoyed the perspective and the anecdotes given by a person actively contributing to the software engineering landscape. I would like to hear more!
• ✅ Good insights about AI in Software engineering. Good engagement with audience.
• ✅ Michael is very passionate about teaching AI for SE. His teaching is very enthusiastic, and is at a good pace, clear, well-organised, and get to the point. The lecture is very informative, and useful to the students. Keep up the great work. He can add interactive components (e.g., Flux, PollEV), or peer discussion activities during the lecture (e.g., breakout rooms) in the future.
• ✅ Michael’s class was fabulous! It would be highly appreciating if we can have more classes from Michael.
• ✅ The lecture was clearly laid out, very comprehensive and very easy to understand. Thank you for today's lecture!

Community Service

• My peer review experience for journals
• 🔎 A PC in APR@ICSE (Automated Program Repair) 2025
• 🔎 A PC in SVM@ICSE (Software Vulnerability Manangement) 2025
• 🔎 A Shadow PC in the Research Track in ICSE 2025 | Conference Rank: CORE A*
• 🔎 A PC in DSN 2024 Doctoral Forum | Conference Rank: CORE A
• 😼 A Student Volunteer in ICSE 2024 | Conference Rank: CORE A*
• 🔎 A PC in the Artifact Evaluation Track in ICSE 2024 | Conference Rank: CORE A*
• 🔎 A PC in the Technical Paper Track in MSR 2024 | Conference Rank: CORE A
• 👨‍🏫 Presenter at Monash University Open Day Event 2022, 2023, 2024
• 😼 A Student Volunteer in ICSE 2023 | Conference Rank: CORE A*
• 🔎 A Junior PC in the technical paper track in MSR 2023 | Conference Rank: CORE A
• 🔎 A Web Co-Chair as part of the organization committees in MSR 2023 | Conference Rank: CORE A
• 👨‍🏫 Presenter at Monash University TechFutureFest 2022
• 🔎 A PC in the Artifact Evaluation Track in ASE 2022 | Conference Rank: CORE A*

Fundings

• 💰 SIGSOFT CAPS Travel Support Funding for ICSE 2024
• 💰 Google Cloud Research Credits 2023
• 💰 Full Monash University Graduate Scholarship for my PhD study

Key Projects

• 👨‍💻 AIBugHunter Project: A Practical Open-Source Tool available in VSCode for Predicting, Classifying, and Repairing Software Vulnerabilities (Google Cloud Research Credits provide funding for the computing service of the resulting tool)
• 👨‍💻 Explainable AI Tools for Explaining Software Defect Predictions of Machine Learning Models
• 👨‍💻 PhD Thesis: Toward More Effective Deep Learning-based Automated Software Vulnerability Prediction, Classification, and Repair
Final_Review_Seminar by Michael Fu

Conference Presentation

• 👨‍🏫 Presenter at the ICSE 2024 For 2 Papers in the Journal-First Track | Conference Rank: CORE A*
• 👨‍🏫 Presenter at APSEC 2023 For 1 Technical Paper
• 👨‍🏫 Presenter at the ICSE 2023 Doctoral Symposium | Conference Rank: CORE A*
• 👨‍🏫 Presenter at the MSR 2022 For 1 Technical Paper | Conference Rank: CORE A

Education

• Doctor of Philosophy (Department of Software Systems and Cybersecurity) at Monash University, Australia (Feb 2022 -)
• Master of Information Technology at Monash University, Australia (March 2020 - Dec 2021)

🦉 Book List

• 📖 Poor Charlie’s Almanack: The Essential Wit and Wisdom of Charles T. Munger
  by Charles T. Munger
• 📖 Antifragile: Things That Gain from Disorder
  by Nassim Nicholas Taleb
• 📖 The Black Swan: The Impact of the Highly Improbable
  by Nassim Nicholas Taleb
• 📖 Fooled By Randomness: The Hidden Role of Chance in Life and in the Markets
  by Nassim Nicholas Taleb
• 📖 A Man for All Markets: From Las Vegas to Wall Street, How I Beat the Dealer and the Market
  by Edward O. Thorp
• 📖 Thinking, Fast and Slow
  by Daniel Kahneman