Geographic Knowledge Lab
GKL Team
We research advanced GeoAI techniques, combining knowledge representation and spatial reasoning with machine learning, to support better spatial decisions.
lab DIRECTOR
Matt Duckham
Author of one of the leading textbooks in GIS and geospatial computing, Matt brings over 25 years experience in spatial databases, spatial reasoning, and geo AI
Postdoctoral RESEARCHER
Yaguang Tao
Yaguang (Ozzy) brings experience in movement analytics, cloud computing, machine learning, knowledge graphs, and LLMs
POSTDOCTORAL RESEARCHER
Nenad Radosevic
Nenad’s research in geo AI centres on scientific workflows, semantic web, ontology engineering, knowledge graphs, and environmental modelling
PHD RESEARCHER
Mohammad Kazemi Beydokhti
Mohammad is a final year PhD candidate with a focus on knowledge representation and reasoning, and natural language processing
PHD RESEARCHER
Amina Hossein
Amina’s PhD research in wayfinding and navigation combines spatial data analysis, spatial algorithms, and agent-based modelling
PHD RESEARCHER
Alexis Horde Vo
With a background in AI and NLP, Alexis’ PhD is using deep learning and knowledge graphs to explore retrieval-augmented generative (RAG) spatial queries
PHD RESEARCHER
Prawal Lohani
Bringing a Master’s in AI and a background in robotics, Prawal’s PhD research is in qualitative spatial knowledge representation and reasoning
PHD RESEARCHER
Nayomi Ranamuka
Nayomi’s expertise in deep learning and text analytics, and her background in ontology engineering, is at the core of her PhD in geospatial AI
Research
The RMIT Geographic Knowledge Lab connects machine intelligence with human spatial decision-makers across all sectors of government, industry, and society.