supervision

I greatly value the opportunity to train future leaders in software engineering through supervision and mentorship. I form productive relationships with students by providing research skills training, keeping communication open, being approachable, and encouraging students to pursue and share their own independent thinking about their projects, and develop their critical thinking and writing skills. I am committed to guiding students as they learn time-management skills in a research environment. In the past five years, many of my Ph.D. students have a successful publication record that is ready for the next stage of their career.

Current PhD Supervision at Monash University

1. (PhD, Main Supervision) Saranya Alagarsamy (2021-current), Monash University, Australia

   Topic: AI for Software Testing

   Achievements: IST’24.

2. (PhD, Main Supervision) Wannita Takerngsaksiri, Monash University, Australia

   Topic: Automated Code Completion

   Achievements: IST’24, ICSE-SEIP’25, A 9-months Atlassian PhD Internship Scholarship.

3. (PhD, Main Supervision) Rui Yang, Monash University, Australia

   Topic: Enhancing the Safety of Large Language Models

   Achievements:

4. (PhD, Co-Supervision) Fanyu Wang, Monash University, Australia

   Topic: Quality Assurance-driven Requirement Engineering

   Achievements:

5. (PhD, Co-Supervision) Aaron Guan, Monash University, Australia

   Topic: Testing Large Language Models

   Achievements:

PhD Alumni

1. (PhD, Main Supervision) Yeh Fu (2021-2025), Monash University, Australia

   Topic: Toward More Effective Deep Learning-based Automated Software Vulnerability Prediction, Classification, and Repair

   Achievements: ASE’21, TSE’21, MSR’22, FSE’22.

2. (PhD, Main Supervision) Chanathip Pornprasit (2020-2025), Monash University, Australia

   Topic: Automated Software Quality Assurance

   Achievements: MSR’21, TSE’21, ASE’21, SANER’23

3. (PhD, Main Supervision) Yang Hong (2021-2024), Monash University, Australia

   Topic: Automated Code Review.

   Achievements: SANER’22, FSE’22, IST’24, FSE’24, a 3-month Atlassian PhD Internship Scholarship.

4. (PhD, Main Supervision) Yue Liu (2021-2024), Monash University, Australia

   Topic: Automated Malware Detection.

   Achievements: ACM Computing Survey, ISSRE’23.

5. (PhD, Main Supervision) Danushka Pitivilaliyanage (2020-2023), Monash University, Australia

   Topic: Security Gaurantees for Automated Software Testing.

   Achievements: ICSE’23, ICSE’24.

6. (PhD, Co Supervision) Aastha Pant (2021-current), Monash University, Australia

   Topic: Ethics in AI

   Achievements: ICSE’23, ICSE’24.

7. (PhD, Main Supervision) Han Hu (2021-current), Monash University, Australia

   Topic: Ethics in AI

   Achievements: ICSE’23, ICSE’24.

8. Jirayus Jiarpakdee (2017-2021, PhD, Main Supervision), Monash University, Australia.

   Topic: Towards Explainable Software Defect Prediction Models to Support SQA Planning

   Achievements: 3xTSE, 1xEMSE, 1xICSE, 1xICSME, 1xMSR, 1xAnnals of Emergency Medicine, 1xICSE-Doctoral Symposium

Honours/Master Alumni

1. Suraj Yatish (2019, Master of CS, Main Supervision), Monash University, Australia.

   Topic: Mining Software Defects: Should we Consider Affected Releases?

   Achievements: 1xICSE’19

2. Supatsara Wattanakriengkrai (2019-2020, Master of Engineering, Main Supervision), Nara Institute of Science and Technology, Japan.

   Topic: Towards Line-Level Defect Prediction Models

   Achievements: 1xTSE’20

3. Chaiyakarn Khanan, Worawit Luewichana, Krissakorn Pruktharathikoon (2019, Visiting Undergraduate Students, Main Supervision), Mahidol University, Thailand.

   Topic: JITBot: An Explainable Just-In-Time Defect Prediction Bot

   Achievements: 1xASE-Tool Demo’20

4. (1st Year Undergraduate Student) Yuki Kume, Monash University, Australia

   Topic: AIBugHunter

   Achievements: EMSE’23