Overview
Background
Pascal is a spatial data scientist whose research combines geographic information systems (GIS), spatial economics, renewable energy, and electricity network modelling to support the transition to sustainable and resilient energy systems. He develops digital spatial models and decision-support tools that help governments, industry and researchers make evidence-based decisions about infrastructure, mining and regional development.
His research integrates large-scale geospatial datasets with engineering, environmental and economic analyses to better understand the interactions between natural resources, energy systems and human activities. Current projects focus on renewable energy planning, power transmission and distribution networks, mine closure and repurposing, critical infrastructure, freight and logistics, and regional resource economies.
Research areas include:
- Geographic Information Systems (GIS) and spatial data science
- Renewable energy planning and energy transitions
- Electricity transmission and distribution network modelling
- Spatial economics and regional development
- Mining systems, mine closure and post-mining land use
- Digital twins and decision-support systems
- Critical infrastructure and freight network analysis
- Earth observation and environmental spatial modelling
Pascal has more than a decade of experience applying geospatial technologies across research, teaching and industry. He works closely with government agencies, industry partners and interdisciplinary research teams to develop innovative spatial tools that support infrastructure investment, decarbonisation pathways and sustainable resource management.
Availability
- Dr Pascal Bolz is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Physical Geography and Environmental Geoscience, Universitaet Hamburg
- Masters (Coursework) of Earth Sciences, Universitaet Hamburg
- Doctor of Philosophy, Queensland University of Technology
Research impacts
Pascal's research develops practical digital tools and spatial intelligence that help governments, industry and communities make better decisions about energy, infrastructure and natural resources. By integrating engineering, economics and geospatial science, his work provides evidence to support investment, regional planning and the transition to low-carbon energy systems.
His research has contributed to:
- Improving the planning of renewable energy projects through spatial suitability and infrastructure analysis.
- Supporting the mining sector to identify opportunities for mine-site renewable energy, electrification and post-mining land use.
- Developing digital models of electricity transmission and distribution networks that enable scenario analysis for future energy systems.
- Quantifying regional infrastructure, freight and resource supply chains to support strategic planning and economic development.
- Creating open, reproducible spatial datasets and analytical workflows that improve transparency and accelerate research and industry collaboration.
Pascal works closely with government agencies, industry partners and research organisations to ensure that research findings can be translated into practical decision-support tools. His projects combine large and diverse datasets—including energy infrastructure, transport networks, mining assets and environmental information—to provide an integrated understanding of regional systems.
The overarching goal of his research is to improve the way infrastructure and natural resources are planned and managed, helping to reduce costs, strengthen regional resilience and support Australia's transition to a more sustainable, reliable and economically competitive energy future.
Works
Search Professor Pascal Bolz’s works on UQ eSpace
2015
Journal Article
Semi-automatic segmentation of petrographic thin section images using a "seeded-region growing algorithm" with an application to characterize wheathered subarkose sandstone
Asmussen, Pascal, Conrad, Olaf, Guenther, Andreas, Kirsch, Moritz and Riller, Ulrich (2015). Semi-automatic segmentation of petrographic thin section images using a "seeded-region growing algorithm" with an application to characterize wheathered subarkose sandstone. Computers & Geosciences, 83, 89-99. doi: 10.1016/j.cageo.2015.05.001
Funding
Current funding
Past funding
Supervision
Availability
- Dr Pascal Bolz is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Improving the Prediction of Soil Losses from Disturbed and Rehabilitated Land in Mining Operations at Sub-Catchment Scale
Principal Advisor
Other advisors: Dr Phill McKenna
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Doctor Philosophy
Transforming Queenslands coal legacy: A visual amenity framework for sustainable renewable energy post-mining land use
Principal Advisor
Other advisors: Dr Kamila Svobodova
Media
Enquiries
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