In August 2023, Hsu obtained her Ph.D. degree from the University of Technology, Sydney (UTS). During her Ph.D. studies, she held the UTS-SUSTech scholarship and was advised by Yulei Sui and Shin Hwei Tan. Hsu's research centers on Program Analysis in Android and the Automated Analysis of Unethical Behavior in Software Engineering. Prior to joining Ph.D. program, she worked in the private and public sectors. This unique background equips... her with a comprehensive understanding of both theoretical concepts and practical applications, enabling her to effectively integrate them in her research. One of Hsu's notable accomplishments lies in her ability to bridge the gap between academia and industry by leveraging her industry expertise and Ph.D. studies. Her hands-on experience in the industry enhances her practical skills, while her Ph.D. training fosters critical thinking and research capabilities.
For instance, while employed at a company involved in developing a complex system integrating the public and private sectors, Hsu encountered difficulties in identifying the root causes of problems. This encounter served as inspiration for her Ph.D. research, leading her to develop automated debugging tools for Android applications. Her research contributions include "Event-aware precise dynamic slicing for automatic debugging of Android applications" and "Complement of Dynamic Slicing for Android Applications with Def-Use Analysis for Application Resources." In another instance, while working on a project that entailed providing data reports on a biannual basis, Hsu faced a client concern regarding ethical issues. This experience motivated her to create a tool capable of detecting unethical behavior in open-source software projects. Her research output in this area is encapsulated in the publication titled "Automatic Detecting Unethical Behavior in Open-source Software Projects."
Hsu also has teaching experience, where she engages students by using real-world examples in tutorials. For instance, she teaches the concept of "Scope of Requirement" by using the familiar "Buying food" example, emphasizing the importance of understanding customer needs before product development. As an online Teaching Assistant, she overcomes technical and participation challenges by providing GitHub backups for materials, enabling Live Chatting for prompt feedback, and using project progress charts to boost student engagement. Hsu's teaching approach combines practicality with innovation, making her an effective educator.
FSE'23 | Hsu Myat Win, Haibo Wang, and Shin Hwei Tan. Automatic Detecting Unethical Behavior in Open-source Software Projects. ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. [video] |
JSS'23 | Hsu Myat Win, Shin Hwei Tan, and Yulei Sui. Event-aware precise dynamic slicing for automatic debugging of Android applications. Journal of Systems and Software [video] |
MOBILESoftSRC'22 | Hsu Myat Win. Complement of Dynamic Slicing for Android Applications with Def-Use Analysis for Application Resources. 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems_SRC |
Hsu worked as a teaching assistant for the following subjects at UTS.
Hsu worked in the following IT research roles after obtaining her PhD.
Hsu worked in the following IT professional roles before joining the Ph.D. program.