The Information Engineering Lab

The ielab is a collaborative group of researchers working in the area of information engineering. Much of this research is specifically on the areas of information retrieval, i.e. search engine technology and information seeking, data science, and health informatics.

Highlighted Projects

A full list of projects is available at the projects page, including associated resources (software, data).

To access a list of our publications, please visit the publications page; this often includes a pre-print version of each publication.

For advertised student projects (including PhD, masters, and undergraduate) please visit the student projects page.


News

PostDoc Position Available in Digital Health

15 July 2020

We are seeking a Postdoctoral Research Fellow that will contribute to innovative research developments within the scope of digital health. The project aims to devise new method for the effective and efficient information extraction from electronic medical records. The position is part of a newly BDHP/MRFF funded research project that involves researchers at the University of Queensland, Metro North HHS and Metro South HHS (Queensland Health). The postdoc will be part of the ielab team (http://ielab.io), in the School of Information Technology and Electrical Engineering.

PostDoc Position Available in Conversational Search

01 July 2020

We are seeking a Postdoctoral Research Fellow that will contribute to innovative research developments within the scope of conversational search. The project the postdoc will be assigned to aims to identify how conversational agents might help answer grain growers and farmers’ questions and make better farming decisions. The position is part of the newly funded research project AgAsk that involves researchers at the University of Queensland, the CSIRO, and the Queensland Government Department of Agriculture and Fisheries.

Consumer Health Search PhD Position Available

03 October 2019

We are recruiting a fully funded PhD student position within the context of the ARC DECRA project “Searching when the stakes are high: better health decisions from Dr Google”. The funding will cover both a Living stipend scholarship of $28,092 per annum tax free (2020 rate), indexed annually, for 3 years with the possibility of two 6-month extensions in approved circumstances, and the Tuition Scholarship (for up to 4 years). For overseas students, we will also fund a Overseas Student Health Cover (OSHC).

News archive →


People

ielab’s core group includes Information Retrieval researchers at the University of Queensland (UQ) in Brisbane, Australia. However, the group has expanded to include researchers from the CSIRO, University of Strathclyde, Qatar Computing Research Institute and more.

ielab group members at The University of Queensland.

Research Staff

Postdoctoral Research Fellow, UQ. Graduated from UQ (sponsored by CSIRO); Thesis -- Minimal interaction Information Retrieval - a theoretical framework with applications in clinical decision support.

Doctoral Students (PhD)

PhD student, UQ, Exploring methods for improving the effective information retrieval of legal documents.
PhD student, UQ, AgAsk - A Question-Answering Conversational Agent for Data-Driven Growing Decisions.
PhD student, UQ & CSIRO, Query Automation for Systematic Review.
PhD student, UQ, Insights Recommendation for Exploring IoT Data.
PhD student, UQ, Evaluation of Medical Chatbots.
PhD student, UQ, Online Learning to Rank.
PhD student, UQ.
PhD student, University of Queensland (UQ) & Chiang Mai University (CMU), Causality Discovery in drug-drug interaction.
PhD student, UQ, Electronic Health Records Representation for Similarity Computing.

External members

Research Associate, Qatar Computing Research Institute (QCRI)
Associate Professor and Chancellor's Fellow, University of Strathclyde (UK).

Alumni

Postdoctoral Research Fellow, UQ. Graduated from UQ (sponsored by CSIRO); Thesis -- Minimal interaction Information Retrieval - a theoretical framework with applications in clinical decision support.
PhD student, UQ & UBAYA, Search Engines that Help People Make Better Health Decisions.

Honours Students

  • [completed 2017] Liam Cripwell. Honours student, QUT: Generating Clinical Queries from Patient Narratives
  • [completed 2016] Harrisen Scells. Honours student, QUT: Investigating Methods Of Annotating Lifelogs For Use In Search

Masters Students

[completed 2017]:

  • Doyoo Baek: A predictive analysis of heavy machinery deterioration (Industrial CEED collaboration with Hastings Deering Pty Ltd)
  • Xiaoran Chu: OMG! The Amazing Result of Using Machine Learning to Build Classifiers for Clickbait Detection
  • Linni Qin: Forecating Zestimate Error
  • Zhiying Zhou: Educational Data Mining: Analyze and Predict student’s academic performance
  • Harmandeep Kaur Bhullar: Data Analysis of an European Soccer Database
  • Harshita Jain: An Analysis of Spam SMS Features
  • Davinder Kaur: Symptoms of Lower Back Pain - A Data Analysis and Research Project