Professional Activities

Organizing Committee

• EASE 2025, Artefacts/Models (AI models and/or Data) track (co-)Chair

• "The 3rd International Workshop on Software Vulnerability Management" (SVM 2025) co-located with ICSE 2025, Co-organizer together with Prof. M. Ali Babar & Dr. Joanna C. S. Santos

• "The 2nd International Workshop on Software Vulnerability Management" (SVM 2024) co-located with ICSE 2024, Co-organizer together with Prof. M. Ali Babar & Prof. Awais Rashid & EnCyCriS team

• "The 1st International Workshop on Software Vulnerability Management" (SVM 2023) co-located with ICSE 2023, Co-organizer together with Prof. M. Ali Babar & Prof. Awais Rashid

• SANER 2023, Session Chair of Code Review Session

• MSR 2023, Session Chair of Session 10: Security

• ASWEC & ALCSI 2018, Student volunteer coordinator

Programme Committee

2026

• ICSE 2026, PC member in the Research track

2025

• ICSE 2025, Shadow PC member in the Research track

• EASE 2025, PC member in the Research track

• FSE 2025, PC member in the AI IDE workshop

• MSR 2025, PC member in the Technical track

• SANER 2025, PC member in the Research track

2024

• ICSE 2024, PC Member in the Demo track

• MSR 2024, PC Member in the Technical track

• SANER 2024, PC member in the Research track

2023

• ICSE 2023, PC Member in the SCORE track

• MSR 2023, PC Member in the Technical track

• SANER 2023, PC member in the Research track

2022

• MSR4P&S workshop co-located with FSE 2022, PC Member

• MSR 2022, PC Member in the Technical track, Shadow PC, Data/Tool Showcase track

2021

• MSR 2021, PC Member in the Technical track

2020

• MSR 2020, Sub-reviewer in the Technical track

• EASE 2020, PC Member in the Artefacts track

2019

• EASE 2019, Sub-reviewer in the Technical track

Journal Reviewer

Note that the Impact factor and SJR rating of the journals were last updated in 2024.

• IEEE Transactions on Software Engineering, Impact factor: 7.4 (SJR Q1)

• ACM Transactions on Software Engineering and Methodology Journal, Impact factor: 4.4 (SJR Q1)

• Empirical Software Engineering Journal, Impact factor: 2.522 (SJR Q1)

• Journal of Software and Systems, Impact factor: 3.514 (SJR Q1)

• Automated Software Engineering Journal, Impact factor: 1.677 (SJR Q2)

• Information and Software Technology Journal, Impact factor: 3.862 (SJR Q1)

• IEEE Transactions on Dependable and Secure Computing, Impact factor: 6.77 (SJR Q1)

• ACM Computing Surveys Journal, Impact factor: 14.324 (SJR Q1)

• Applied Intelligence Journal, Impact factor: 5.019 (SJR Q2)

• Frontiers of Computer Science, Impact factor: 2.32 (SJR Q2)

• IEEE Internet of Things Journal, Impact factor: 9.47 (SJR Q1)

• IEEE Journal on Selected Areas in Communications, Impact factor: 9.14 (SJR Q1)

Social Media Coordinator

• Official Twitter handle of CREST

• Official Youtube channel of CREST

Student Supervision

• PhD Students (I am actively recruiting)

  • Ziyang Ye, co-supervise with Prof. M. Ali Babar, March 2025 - now. Topic: Towards AI-Driven Security Enhancement for Infrastructure as Code. Publication: MSR 2025.

  • Jinyang Li, co-supervise with Prof. M. Ali Babar and Sangwon Hyun, March 2025 - now. Topic: Soft Prompt Protection Against Adversrial Attack For Large Language Model Application.

  • The Anh Nguyen, co-supervise with Prof. M. Ali Babar, Oct 2024 - now. Topic: Automated Discovery and Analysis of Security-related Technical Debt. Publication: ESEM 2024.

  • Mehdi Kholoosi, co-supervise with Prof. M. Ali Babar, March 2022 - now. Topic: Developing Cybersecurity Threat Detection and Prediction Framework using Natural Language Processing. Publications: SANER 2022, ICSE 2023, CNS 2023, TrustCom 2024.

  • Ali Kazemi Arani, co-supervise with Prof. M. Ali Babar & Dr. Mansooreh Zahedi, July 2021 - now. Topic: Exploring the Potential of Machine Learning Methods for Optimizing Software Delivery in DevOps Architecture. Publications: ICSE-SoftwareSecurity 2023, IEEE Access 2024.

• Master/Internship Students

  • Ziyang Ye - Master of Artificial Intelligence and Machine Learning, Feb 2024 - now. Topic: Knowledge Graph and Large Language Model Based Approach for Automated Secured Container Orchestrator Configuration.

  • Guanqiao Huang - Master of Computer Science, Feb 2024 - now. Topic: Impact of Auto-Labeling for Just-in-Time Software Vulnerability Prediction.

  • Tung Hoang Thai - Master of Artificial Intelligence and Machine Learning, April 2023 - Nov 2023. Topic: Large Language Models for Data-Driven Software Vulnerability Prediction.

  • Tuan Lu Dinh - Master of Data Science, Feb 2023 - Nov 2023. Topic: Data Augmentation for Data-Driven Software Security.

  • Pavithra Bharatham Rengarajan - Master of Machine Learning, Feb 2023 - July 2023. Topic: Development of Security Plugin for Vscode.

  • Puneet Valad - Master of Computing and Innovation, Aug - Oct 2022. Topic: Development of Security Plugin for Vscode.

• Summer Students 2020 (CREST @ UofA & CSCRC)

  • Xin Chen, Moyang Feng, and Wei Zhang, Automated Security Assessment for Interconnected Systems. Publication: "Automated Security Assessment for Interconnected Systems" in PRDC '21.

  • Chirag Thakkar and Huy Quang Ngo, Security database mapping for meaningful mitigation

  • Chuyue Qin & Xiaowei Wang, Comparison of deep learning methods for managing security patches

• Honours Project (CSCRC)

  • David Hin, Dynamic tracking of security vulnerabilities in open-source repositories, 2020

• Software Engineering Research Project 2020 (Computer Science School @ UofA & CSCRC)

  • David Hin, Jocelyn Tan, and Justin Lee, VulDoctor: A Web Application for Tracking Vulnerable Dependencies - The app aims to identify, analyze & visualize vulnerable dependencies and libraries in user’s code/commits on-the-fly.

  • Demo: youtube.com/watch?v=vxYQBAEYFmQ, Poster: bit.ly/VulDoctor

• Software Engineering Research Project 2019 (Computer Science School @ UofA)

  • Provide academic supervision for 7 projects with 21 undergrad students in Software Engineering, Cybersecurity and Machine Learning

Lecturer

The University of Adelaide, Australia

• Secure Programming  (Trimester 2, 2025, Semester 2, 2025)

• Software Engineering Research Project (Semesters 1 & 2 - 2023/2024/2025)

• Artificial Intelligence and Machine Learning Research Project Part A & B (Trimester 3, 2024)

• Algorithm Design and Data Structures (Semester 2, 2024)

• Software Engineering Research Project (Semester 2 - 2022)

Associate Lecturer

The University of Adelaide, Australia

• Software Engineering Research Project (Semester 1 - 2019/2022)

• Software Architecture (Semester 2 - 2020/2021)

• Software Process Improvement (Semester 1 - 2020)

• Secure Software Engineering (Semester 2 - 2019)

• Software Engineering Research Project (Semester 1 - 2019)

International University - Vietnam National University, Ho Chi Minh City

• Data Structures and Algorithms (Semester 2 - 2016/2017)

• Object-Oriented Programming (Semester 1 - 2015/2016)

Research Associate (8/2022 - 7/2024)

CREST - Centre for Research on Engineering Software Technologies, The University of Adelaide, Australia

• Key contributor to the multi-million-dollar project Software Security with a Focus on Critical Technologies, funded by the Cyber Security Cooperative Research Centre Australia

• Co-leading the research on "Trustworthy datasets for software security analytics"

• Contributing to the research on "AI-enabled security plug-ins for IDEs"

Research Assistant

• 4/2022 - 8/2022: Research Assistant at Centre for Research on Engineering Software Technologies (CREST) - The University of Adelaide

  • Responsibility: conducted research on impact of data quality and size on software vulnerability prediction models

• 1/2016 - 7/2018: Research Assistant in the Multi-Species Multi-Channel (MSMC) Laboratory – International University

  • Responsibility: developed pre-processing and post-processing modules for the MSMC-GUI program, research machine learning algorithms in Hindered Internal Rotation determination

• 6/2015 - 4/2017: Research Assistant in the Smart Data Lab – International University

  • Responsibility: developed a collaborative online video annotation framework based on consensus algorithms as well as the integration of GoodRelations ontology

  • Funding: International University (4/2016 – 4/2017)