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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

News

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Research

The RMIT Geographic Knowledge Lab connects machine intelligence with human spatial decision-makers across all sectors of government, industry, and society.

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