Graham McDonald
Scholar

Graham McDonald

Google Scholar ID: 0zeJ_AYAAAAJ
Researcher, University of Glasgow
Information RetrievalText ClassificationMachine Learning
Citations & Impact
All-time
Citations
460
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • General Co-Chair of the 46th European Conference on Information Retrieval (ECIR 2024)
  • Vice Chair of the BCS Information Retrieval Specialist Group
  • Published 'Search Results Diversification for Effective Fair Ranking in Academic Search' (Information Retrieval Journal, Dec 2021)
  • Co-authored 'RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification' (Findings of ACL)
  • Completed PhD thesis 'A Framework for Technology-Assisted Sensitivity Review: Using Sensitivity Classification to Prioritise Documents for Review' (2019)
Research Experience
  • Principal Investigator (PI) on the EPSRC-funded project 'Safe Information Extraction from Patient Histories (SIEPH)' in collaboration with NHS SafeHavens
  • Part of an SVGC-led consortium developing the UK’s first large-scale technology-assisted digital sensitivity review platform for a major central UK government department
  • Held three full-time Research Assistant positions within the School of Computing Science at the University of Glasgow
  • Organiser of the Text REtrieval Conference (TREC) Fair Ranking Track
  • Organised the online workshop 'Fairness and Bias in Information Retrieval' (#FAIRER2021)
  • Delivered a tutorial on 'Search Among Sensitive Content' at ECIR 2021
Background
  • Senior Lecturer in Information Retrieval in the Information, Data and Analysis (IDA) Section, School of Computing Science, University of Glasgow
  • Member of the Terrier Team
  • Main research interests lie in responsible information retrieval and text classification
  • Focuses on automatically classifying sensitive information exempt from public release under the Freedom of Information Act (2000)
  • Works on technology-assisted reviews in active learning scenarios
  • Develops fair ranking strategies to ensure appropriate exposure for relevant information producers in search results