STAFF PROFILE
Professor Matt Duckham
Matt Duckham is Professor in geographic information science and Deputy Head (Geospatial Sciences) in the School of Mathematical and Geospatial Sciences.
Professor Duckham’s research is in the area of geographic information science (GI science). His expertise is in distributed and robust computing with uncertain spatial and spatiotemporal information, particularly in the context of mobile, location-aware, and sensor-enabled systems.
Professor Duckham has written and edited several books, including the well-known GIS textbook “GIS: A Computing Perspective”, coauthored with Mike Worboys. He has been invited to speak at conferences around the world, including giving the Waldo Tobler Distinguished Lecture in GIScience at AAG 2014. Professor Duckham has led several major ARC-funded Discovery and Linkage research projects. He is a founding editor of the open-access Journal of Spatial Information Science, and an editorial board member of Transactions in GIS, International Journal of Geographical Information Science, ISPRS Journal of Photogrammetry and Remote Sensing, Computers, Environment, and Urban Systems, and the Journal of Location-Based Services. He was a Program Chair of the GIScience international conference in Vienna in 2014, and of COSIT (Conference on Spatial Information Theory) 2007 in Melbourne.
Professor Duckham is also a Visiting Professor at Greenwich University, UK. Before moving to RMIT University in 2015, he was Professor of Geographic Information Science at the University of Melbourne, Australia. From 2010-2014 Professor Duckham was an ARC Future Fellow working in the area of ambient spatial intelligence and geosensor networks. Prior to coming to Australia in 2004 he was a postdoctoral researcher at the NCGIA (National Center for Geographic Information and Analysis) at the University of Maine, USA.
For a complete list of publications see Professor Duckham’s web page, Google Scholar, or Scopus listing.
- PhD (Glasgow)
- MSc (Leicester)
- BSc (Hons) (Edin)
- Visiting Professor (University of Greenwich, UK)
- SSSI (Surveying and Spatial Sciences Institute) Member and Victorian Committee Member (2013-2015)
- ACM (Association for Computing Machinery) Member
- Woodgate, P.,Coppa, I.,Choy, S.,Phinn, S.,Arnold, L.,Duckham, M. (2017). (In Press) The Australian approach to geospatial capabilities; positioning, earth observation, infrastructure and analytics: issues, trends and perspectives In: Geo-Spatial Information Science, 20, 109 - 125
- Zhong, X.,Duckham, M. (2017). An efficient incremental algorithm for generating the characteristic shape of a dynamic set of points in the plane In: International Journal of Geographical Information Science, 31, 569 - 590
- Zhong, X.,Duckham, M. (2016). Characterizing the shapes of noisy, non-uniform, and disconnected point clusters in the plane In: Computers, Environment and Urban Systems, 57, 48 - 58
- Wang, J.,Duckham, M.,Worboys, M. (2016). A framework for models of movement in geographic space In: International Journal of Geographical Information Science, 30, 970 - 992
- Yeoman, J.,Duckham, M. (2016). Decentralized detection and monitoring of convoy patterns In: International Journal of Geographical Information Science, 30, 993 - 1011
- Cheong, L.,Bleisch, S.,Kealy, A.,Tolhurst, K.,Wilkening, T.,Duckham, M. (2016). Evaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty In: International Journal of Geographical Information Science, 30, 1377 - 1404
- Zhong, P.,Duckham, M.,Chong, D.,Tolhurst, K. (2016). Real-time estimation of wildfire perimeters from curated crowdsourcing In: Scientific Reports, 6, 1 - 10
- Zhong, P.,Kealy, A.,Duckham, M. (2016). Stream Kriging: Incremental and recursive ordinary Kriging over spatiotemporal data streams In: Computers and Geosciences, 90, 134 - 143
- Long, Z.,Duckham, M.,Li, S.,Schockaert, S. (2016). Indexing large geographic datasets with compact qualitative representation In: International Journal of Geographical Information Science, 30, 1072 - 1094
- Galton, A.,Duckham, M.,Both, A. (2015). Extracting causal rules from spatio-temporal data In: Proceedings of the12th International Conference on Spatial Information Theory (COSIT 2015) Lecture Notes in Computer Science Volume: 9368, Santa Fe, United States, 12-16 October 2015
6 PhD Current Supervisions
- Improving equity of Hepatitis B treatment access and outcomes by informing spatial targeting of resources (Project 4.410). Funded by: CRC for Spatial Information CAT2 from (2016 to 2018)