The Centre for Information Discovery and Data Analytics is made up of the following staff.
The Centre for Information Discovery and Data Analytics is made up of the following staff.
The Centre for Information Discovery and Data Analytics is made up of the following staff.
Research Interests:
Information Retrieval; Evaluation; User Analytics; Computer Ethics
Research Interests: Data Management; Data Integration; Data Visualization; Trajectory Data Analytic
Research Interests: Information Access and Retrieval; Text Mining; Evaluation
Research Interests: Stochastic optimisation; Operational decision making; Machine learning
Professor Kerryn Butler-Henderson
Research Interests: Health information storage; health privacy; health analytics
Research Interests: Biomedical Text Mining; Spoken Dialogue Interaction
Research Interests: Information Retrieval; Algorithms; Systems; Machine Learning
Research Interests: Spatial Computing; Geosensor Networks; Location Privacy; Qualitative Spatial Reasoning
Research Interests: Human information behaviour; user-experience design; technology adoption and use; societal impact; qualitative inquiry
Research Interests: User experience; fairness and integrity; mobility; computing for social good
Research Interests: Data Integration; Climate Change Analytics; Multivariate Stochastic Systems; Spatio-Temporal Analysis; Artificial Intelligence
Research Interests: Network science; Dynamical Systems; Social Network Analysis; Recommender Systems
Research Interests: Data analytics and mining, AI and machine learning, automation, and advanced information systems
Research Interests: Information Retrieval; Search Engine Evaluation; Bibliometrics
Research Interests: Pervasive, Mobile, Ubiquitous Computing; Context / Behaviour Recognition; Applied Machine Learning; Spatial / Time Series Data Mining
Research Interests: Data Analytics; Spatial Statistics; Networks; Mathematical Modelling; Dynamics of Epidemics
Research Interests: Cyber mathematics; Finding patterns in Data
Research Interests: Biomedical Natural Language Processing; Text Mining; Health Data Analytics; Artificial Intelligence in Medicine; Ontologies; Data Quality
Research Interests: Streaming Analytics, Edge Computing, Machine Learning on Graphs, TinyML, Geospatial Intelligence
Research Interests: Data Mining; Text Mining; Machine Learning
Associate Professor Jeffrey Chan
Research Interests: Machine Learning; Social Network Analysis; Recommendation; Data Driven Optimisation
Associate Professor Stephen Davis
Research Interests: Complex Networks; Machine Learning; Biometrics; Data Visualisation; Mathematical Modelling
Associate Professor Stelios Georgiou
Research Interests: Experimental designs; Combinatorial design; Data analytics; Error correcting codes
Associate Professor Sonika Tyagi
Research Interests: Machine Learning, Biomedical Text Mining, Digital Health
Research Interests: Bayesian Statistics; Spatial Statistics; Regression Analysis; Ecological / Environmental Statistics
Research Interests: Complex Networks; Online Behaviour Analysis; Biometrics
Research Interests: Pervasive; Mobile; Ubiquitous Computing; Spatiotemporal Data Analysis
Research Interests: Information Retrieval; Web Crawlers; Algorithms
Research Interests: Bayesian Modelling; Forecasting; Time Series Modelling; Monte Carlo Simulation
Research Interests: Machine Learning; Machine Reasoning; Machine Perception
Research Interests: Geovisualization; Spatial cognition; Cartographic interfaces; Health Applications
Research Interests: Machine Learning; Recommender Systems; and Natural Language Processing
Research Interests: Crowdsourcing; Social Computing; Human-Computer Interaction
Research interests: Human Information Behaviour; Information Interaction; Information Equity; Privacy; Information for Social Good
Research Interests: Privacy-Preserving Data Mining; Spatiotemporal / Geotextual Data Analytics
Research Interests: Personalisation; Recommender System; Collaborative Filtering; Web Mining Log Analysis
Research Interests: Human-Computer Interaction; Privacy-Preserving Machine Learning; Computer Vision
Research interests: Cognitive Biases; Human Reasoning; Behavioural Analysis
Research Interests: Health analytics; Data mining; Machine learning; Computational neuroscience
Research Interests: Data Analysis and Real Data Modelling; Experimental Designs; Biostatistics
Research Interests: Time Series Modelling; Forecasting; Data Modelling
Research Interests: Data mining; Machine learning; Big data analysis; optimization; cybersecurity
Research Interests: Interactive Information Retrieval; Human-Computer Interaction; Dialogue and Conversational Analysis; Health Informatics
Research Interests: Social Network Analysis; Recommender Systems; Multimedia Databases; Query Optimization
Research Interests: Information Retrieval
Dr. Shixun Huang
Research Interests: Collective Behaviour; Influence Maximisation; Network Emedding; Data Mining
Research Interests: Machine Learning; Spatial Object Recommendation
Research Interests: Human Information Practices; Embodiment; Information Interaction; Information for Social Good
Research Interests: Sensing Technologies; Context / Behaviour Recognition; Machine Learning
The Centre for Information Discovery and Data Analytics (CIDDA) specialises in developing new approaches to find relevant information in massive data collections.
From data to knowledge. Discover our research strengths and expertise across a range of themes.
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Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.