MICHAEL FU 🏀

• 👋 Greetings!

I'm currently a final-year PhD student in the esteemed 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 500 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

• 📄 AI for DevSecOps: A Landscape and Future Opportunities
  Under Review
• 📄 Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities
  Under Review
• 📄 Vision Transformer-Inspired Automated Vulnerability Repair
  Accepted at TOSEM'23 | Impact Factor: 4.4
• 📄 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: 7.4
• 📄 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: 7.4
• 📄 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

• 👨‍💻 Guest Lecturer in a postgraduate unit, FIT5136 - Software Engineering, at Monash University in 2024, where I taught topics related to software engineering, cybersecurity, and AI in S1 2024 at Monash University

Student Evaluation (5 = Highly Satisfied)

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.
• ✅ Very informative and resourceful
• ✅ It was perfect presenting

Community Service

• 🔎 Invited to Review 1 Paper Submitted to IEEE Software 2024 | Impact Factor: 3.3
• 🔎 A PC in DSN 2024 Doctoral Forum | Conference Rank: CORE A
• 😼 A Student Volunteer in ICSE 2024 | Conference Rank: CORE A*
• 🔎 Invited to Review 3 Papers Submitted to TSE 2024 | Impact Factor: 7.4
• 🔎 Invited to Review 1 Paper Submitted to TSE 2023 | Impact Factor: 7.4
• 🔎 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 2023
• 😼 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
• 👨‍🏫 Presenter at Monash University Open Day Event 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

Conference Presentation

• 👨‍🏫 Presenter at the ICSE 2024 For 2 Technical Papers | 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