Dr. John Friesen
Department of Remote Sensing
+49 931 31-87996
john.friesen@uni-wuerzburg.de
Institute for Geography and Geology
Department for Remote Sensing
John Skilton Str. 4a
97074 Würzburg
Main research areas and interests
- Characterization of spatial and temporal changes in settlement structures (especially informal settlements)
- Population estimation and analysis
- Analysis and resilience assessment of supply infrastructures (water or health care)
- Equation-, data-driven and agent-based modeling of settlement processes
- Modeling of cardiovascular processes and diseases
Scientific career
since 2024 Co-lead of a main project in EO4CAM
2021-2024 Group leader "Urbanization and Infrastructure" at the Institute of Fluid Systems at TU Darmstadt
05/2021 PhD (Dr.-Ing.) Topic: Modeling and analysis of urban informal settlements for infrastructural planning
since 2020 Lectures at the DHBW Karlsruhe
since 2020 studies of human medicine at the Goethe University Frankfurt
2016-2021 Research assistant at the Institute for Fluid Systems Engineering at TU Darmstadt
2014-2016 studies of general mechanical engineering with a specialization in biomedical engineering at RWTH Aachen University (M. Sc.)
2010-2013 studies of mechanical engineering at the TU Darmstadt (B. Sc.)
Publications
Current list on Google Scholar
https://scholar.google.de/citations?user=S4LstwoAAAAJ&hl=de&oi=ao
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The unseen population: {Do} we underestimate slum dwellers in cities of the {Global} {South}?. In: Habitat International, 148, 103056.. (2024):
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Do resilience metrics of water distribution systems really assess resilience? {A} critical review. In: Water Research, 248, 120820.. (2024):
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Methods to assess spatio-temporal changes of slum populations. In: Cities, 143, 104582.. (2023):
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Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data. In: Physical Review E, 107 (6), 064305.. (2023):
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Dynamic {Loading}—{A} {New} {Marker} for {Abdominal} {Aneurysm} {Growth}?. In: Medicina, 59 (2), 404.. (2023):
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Modeling and {Validation} of {Residential} {Water} {Demand} in {Agent}-{Based} {Models}: {A} {Systematic} {Literature} {Review}. In: Water, 15 (3), 579.. (2023):
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Towards a {Link} between {Quantitative} and {Qualitative} {Sciences} to {Understand} {Social} {Systems} {Using} the {Example} of {Informal} {Settlements}. In: Entropy, 25 (2), 262.. (2023):
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Comparison of existing aneurysm models and their path forward. In: Computer Methods and Programs in Biomedicine Update, 1, 100019.. (2021):
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A {Method} for {Modeling} {Urban} {Water} {Infrastructures} {Combining} {Geo}-{Referenced} {Data}. In: Water, 13 (16), 2299.. (2021):
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Spatial {Analysis} of {Settlement} {Structures} to {Identify} {Pattern} {Formation} {Mechanisms} in {Inter}-{Urban} {Systems}. In: ISPRS International Journal of Geo-Information, 9 (9), 541.. (2020):
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{COVID}-19 and {Slums}: {A} {Pandemic} {Highlights} {Gaps} in {Knowledge} {About} {Urban} {Poverty}. In: JMIR Public Health and Surveillance, 6 (3), e19578.. (2020):
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Slums, {Space}, and {State} of {Health}—{A} {Link} between {Settlement} {Morphology} and {Health} {Data}. In: International Journal of Environmental Research and Public Health, 17 (6), 2022.. (2020):
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Size distributions of slums across the globe using different data and classification methods. In: European Journal of Remote Sensing, 52 (sup2), 99-111.. (2019):
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Similar size of slums caused by a {Turing} instability of migration behavior. In: Physical Review E, 99 (2), 022302.. (2019):
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Determining {Factors} for {Slum} {Growth} with {Predictive} {Data} {Mining} {Methods}. In: Urban Science, 2 (3), 81.. (2018):
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The similar size of slums. In: Habitat International, 73, 79-88.. (2018):
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A {Holistic} {Concept} to {Design} {Optimal} {Water} {Supply} {Infrastructures} for {Informal} {Settlements} {Using} {Remote} {Sensing} {Data}. In: Remote Sensing, 10 (2), 216.. (2018):