معرفی
Yingfang Yuan is a Research Associate at the School of Mathematical & Computer Sciences, Heriot-Watt University. Her work contributes to UN Sustainable Development Goals through computational research in AI fairness and socio-technical systems.
Research Focus: She specializes in machine learning applications addressing societal challenges, including graph neural networks for molecular modeling, optimization techniques for topic modeling in circular economy, and fairness quantification in digital services. Her interdisciplinary approach bridges computer science with social equity and sustainability.
Awards:
- Best Paper Presentation Award, ICOSP 2025 (for work on user modeling and GNNs)
- Excellent Oral Presentation Award at the 5th International AI Conference (2025)
- PRIME Award for Sustainable Futures (2024) for impact in sustainability research
Datasets & Collaboration: Co-developed public datasets on circular economy attention metrics and ethnic minority engagement with digital services. Regularly collaborates with cross-disciplinary teams including Dr. Wei Pang and Dr. Lynne Baillie on projects involving socio-technical systems analysis.
