Scholar
Leif Azzopardi
Google Scholar ID: TmvrscMAAAAJ
Microsoft / University of Strathclyde
Citations & Impact
Citations
3,819
H-index
34
i10-index
91
Publications
20
Co-authors
142
list available
Publications
Resume (English only)
Academic Achievements
- - Best IR4Good Paper Award at the 46th European Conference on Information Retrieval
- - ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) Best Paper Award
- - Honourable Mention Best Full Paper Award CHIIR 2023
- - Top 10 IRIS 2022 LexisNexis Best Paper Award
- - ACM ICTIR 2021 Best Paper
- - CSTG Mark Resnick Best Paper Award
- - Publications: Data-driven evaluation metrics for heterogeneous search engine result pages
Research Experience
- - 4-year EU-funded project on Domain Specific Search and Information Extraction and Retrieval (DoSSIER) for Information Professionals, with projects inc:
- - Building economic models of information-interactions
- - Modelling and measuring the cognitive costs of interaction
- - Developing exploratory search interfaces for professional search
- - Deep neural models for contextual search
- - 3-year EPSRC-funded project on Cumulative Revelations of Personal Data
- - 4-year EPSRC iCase project with BAE on Optimising Information Intensive Interfaces in High Pressured Situations
- - 4-year industry project with Thales on Agent Reliability on Trust and Performance in Human-Agent Collaboration
- - 4-year project on Analyzing the relationship between Bias and Performance in neural and language models
- - 2.5-year Knowledge Exchange Project with BIP Solutions on applying machine learning to procurement search
- - Modelling and measuring search engine result pages with economic theory (in collaboration with Microsoft)
- - Developing and evaluating interactive conversational search agents (with Capita)
- - Developing continuous active learning agents for systematic search
Background
- Associate Professor in Artificial Intelligence and Data Science within the Department of Computer and Information Sciences at the University of Strathclyde, leading the Interaction Lab (i-lab). Specializes in developing, evaluating, and modeling information-rich and information-intensive applications and agents, including Recommender Systems and Information Retrieval Systems, underpinned by Natural Language Processing, Language Modelling, Machine Learning, and Deep Learning.
Miscellany
- Teaches Deep Learning and Startup Engineering, where he has written 'Tango with Django', a beginner's guide to web application development using Python and the Django web application framework.
