AI + SE Seminar Series: Cuiyun Gao

The incredible advances in AI/ML (Artificial Intelligence/Machine Learning) over the last few years are enabling the development of AI-enabled software systems. The trustworthiness and quality assurance of such systems remains a difficult challenge. At the same time, foundational models like Large Language Models (LLMs) show that various software development tasks (e.g., coding) can now be supported with AI-based suggestions (e.g., intelligent code completions)

The AI+SE seminar series invites speakers from academia and industry who are working at the intersection of AI and SE (SE = Software Engineering), such as the design of AI-enabled systems, quality assurance and testing of AI/ML models and their operationalization into software systems, as well as the modernization of traditional software development practices and works with ML-based techniques.

Learn more about the AI + SE Seminar Series.

Bio

Associate Professor at the Shool of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). Her main research areas concentrate on Intelligent Software Engineering towards reliable and secure software. She has published more than 70 papers in prestigious journals and conferences including Transactions on Software Engineering (TSE), ACM Transactions on Software Engineering and Methodology (TOSEM), International Conference on Software Engineering (ICSE), and Foundations of Software Engineering (FSE), etc. She has received several awards which indicate her expertise in the area, including the Distinguished Paper Award at ICSE 2024 and ASE 2023, Best Paper Award of the Industry Challenge Track at ICSE 2024, and the Best Student Paper Award at ACAIT 2022.

For more details, please visit: https://cuiyungao.github.io/