معرفی
Dr. Graham McDonald is a Senior Lecturer in the School of Computing Science at the University of Glasgow, specializing in the Information Retrieval Group within the Information & Data Analysis Section. His research focuses on sensitive information retrieval and fair ranking strategies, with notable contributions to digital sensitivity review systems and fair exposure allocation in search rankings. He has organized the TREC Fair Ranking Track and is part of a UK government consortium developing large-scale digital sensitivity review technologies. McDonald has published extensively in top venues like SIGIR and ECIR, addressing topics such as unbiased learning-to-rank, fairness-aware algorithms, and generative AI applications in information retrieval.
He coordinates Level 4 (Honours) Individual Projects and supervises students including Thomas Benedikt Janich, Zeyan Liang, and Jack McKechnie. His work emphasizes practical applications of information retrieval, such as enhancing human review efficiency through machine learning and semantic analysis. McDonald collaborates on projects like the Receptor platform for latent relation exploration in sensitive documents and has created the SARA dataset for sensitivity-aware relevance assessments.
His research bridges theoretical advancements and real-world implementation, with a focus on ethical aspects of search systems, including fairness metrics and bias mitigation in ranked results. Key contributions include methods for chronological information threading, adaptive reranking strategies, and leveraging knowledge graphs for sensitivity classification.
