Leif Azzopardi

Dr

  • United Kingdom

Accepting PhD Students

PhD projects

Projects available on: - Information Seeking, Search and Retrieval - Machine Learning and Data Analytics - Human Computer Interaction

20032020

Research output per year

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Personal profile

Personal Statement

I am an Associate Professor in Artifical Intelligence and Data Science within the Departement of Computer and Information Sciences at the University of Strathclyde, where I lead the Interaction Lab (i-lab). My group specializes on developing, evaluating and modelling information rich and information intensive applications and agents -- and thus we develop novel Recommender Systems and Information Retrieval Systems underpinned by Natural Language Processing, Language Modelling, Machine Learning and Deep Learning.

Given such technology, my group focuses on understanding and modelling how information systems shape and influence people and society. Thus, at the heart of our research is the focus on modelling and predicting the interaction between people and systems. Current and recent research projects include:

  • 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 models2.5 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 agentd (with Capita)
  • Developing continous active learning agents for systematic search

In addition to teaching Deep Learning, I also teach Startup Engineering, where I have written Tango with Django, which is a beginner's guide to web application development using Python and the Django web application framework.

 

Education/Academic qualification

Doctor of Science, University of Paisley

1 Jan 200224 Dec 2005

External positions

Honorary Lecturer, University of Glasgow

1 Jan 2017 → …

Adjunct. Associate Professor, Queensland University of Technology

1 Oct 2016 → …

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Projects

Research Output

Data-driven evaluation metrics for heterogeneous search engine result pages

Azzopardi, L., White, R. W., Thomas, P. & Craswell, N., 14 Mar 2020, CHIIR 2020 - Proceedings of the 2020 Conference on Human Information Interaction and Retrieval. New York, p. 213–222 10 p. (CHIIR 2020 - Proceedings of the 2020 Conference on Human Information Interaction and Retrieval).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
  • 3 Downloads (Pure)

    Measuring the utility of search engine result pages: an information foraging based measure

    Azzopardi, L., Thomas, P. & Craswell, N., 8 Jul 2018, p. 605-614. 10 p.

    Research output: Contribution to conferencePaper

    Open Access
    File
  • 19 Citations (Scopus)
    24 Downloads (Pure)

    Prizes

    Best Paper Award ACM CHIIR 2020

    Olivia Foulds (Recipient), Leif Azzopardi (Recipient) & Martin Halvey (Recipient), Mar 2020

    Prize: National/international honour

    Chancellor's Fellowship in Data Science

    Leif Azzopardi (Recipient), 1 Oct 2016

    Prize: Fellowship awarded competitively