2023 – 2024 Research Highlights
Overview
Ruth is an associate professor in Computer Science at the Lassonde School of Engineering of York University. Previously she has held postdoctoral positions at the Max Planck Institute for Intelligent Systems in Tübingen, Germay, as well as at the Department of Machine Learning of Carnegie Mellon University and at Georgia Tech, USA. She also spent a semester as a Simons-Berkeley fellow at the Simons Institute, Berkeley, in spring 2017. She received her PhD in Computer Science from the University of Waterloo, Canada, for a thesis in machine learning theory in 2013.
Her research focuses on developing formal foundations and understanding of machine learning algorithms and paradigms. An emphasis of her research has been on analyzing what kind of benefits and information we can extract from unlabelled labelled data (eg in semi-supervised or active learning) or data from diverse sources (eg in transfer learning or lifelong learning).
Research Interests
- System assurance
- Assurance of safety requirements
- Generative AI
- Autonomous driving systems
- Knowledge representation and reasoning
- EDI (Equity-Diversity-Inclusion) in computing
Selected Publications
- A PRISMA-Driven Bibliometric Analysis of the Scientific Literature on Assurance Case Patterns. O. Odu, A. B. Belle, S. Wang, & K. K. Shahandashti. arXiv preprint arXiv:2407.04961, 1, 2024.
- Effectiveness of ChatGPT for Static Analysis: How Far Are We?. M. M. Mohajer, R. Aleithan, N. S. Harzevili, M. Wei, A. B. Belle, H. V. Pham, & S. Wang. Proceedings of the 1st ACM International Conference on AI-Powered Software, 5, 2024.
- Exploring the Capabilities of Large Language Models for the Generation of Safety Cases: The Case of GPT-4. M. Sivakumar, A. B. Belle, J. Shan, & K. K. Shahandashti. 2024 IEEE 32nd International Requirements Engineering Conference Workshops, Prompting GPT–4 to Support Automatic Safety Case Generation, Expert Systems with Applications, 255, 124653, 2024.
- On the Computability of Robust PAC Learning. P. Gourdeau, L. Tosca, & R. Urner. The Thirty Seventh Annual Conference on Learning Theory, 2092-2121, 3, 2024.
- Using GPT-4 Turbo to Automatically Identify Defeaters in Assurance Cases. K. K. Shahandashti, A. B. Belle, M. M. Mohajer, O. Odu, T. C. Lethbridge, et al. 2024 IEEE 32nd International Requirements Engineering Conference Workshops, 3, 2024.