Alexey Noskov (PhD) - Research Fellow in AI, Climate & Society at Hughes Hall and CFI (ITH), University of Cambridge, UK

My research focuses on spatial change science: the study of how environmental and human systems evolve across space and time, using geospatial data, remote sensing, and spatial modelling. My current primary research area is AI data centres, their socio-environmental impact and relationships, vulnerability, and critical materials supply chains resilience.

Alexey Noskov's photo, 2023

Contact information

Personal web-page: a.n-kov.com

Personal Email:

Address: Hughes Hall Cambridge CB1 2EW, UK (link) and Level 1, 16 Mill Lane Cambridge,CB2 1SB, UK (link)

Tel: +44 (0)1223 330484

Work Email:

ORCID: 0000-0003-0503-6558 (Link)

Professional/Scientific/Social networks: ResearchGate, LinkedIn, GitHub, GoogleScholar, Publons, and Scopus.

Main recent research areas

MacroGeoComputing: AI Data Centres, Critical Minerals Supply Chains, Mining EGS, Landuse Change, Population Displacement, Internally Displaced People (IDPs), and Land Surface Temperature. MicroGeoRobotics: Multi-Sensor Visually-Tracked Rover (UGV) for Forest Phenology and Forest Floor Biogeochemistry / Microbiology Monitoring, Low-Range Insect Radar, and Sensor Boxes. GIS Data: Generalization, Quality, and Integration.

AI, Climate & Society: AI Data Centres - Locations, Energy and Water Consumption / Pollution, Social and Environmental Impact, Future Scenarios, Climate Change Challenges, and Transition to Zero-Carbon Green Energy.

Population Displacement: Internally Displaced Persons (IDPs), Forcibly Displaced People, Refugees, and Nomadic Populations in Africa.

Forest Dynamics: Insect Monitoring, Insect Radar (FMCW), Light Traps, Rover (UGV) for Forest Monitoring. Forest Sensor Networks. Trees Monitoring for Phenology, Survey (GNSS and Total Station). Point Cloud and Multi-Sensor Data Processing.

3D Generalization and Geo-Visualization of Urban Environment (specifically Buildings). Spatial Data Quality and Quality of WebGIS Services Assurance. Spatial Data Fusion. Web and Desktop GIS Development. OpenStreetMap (Processing of Big Data Files and Intrinsic Quality).

Affiliation

Since 2024 to date, Research Fellow at Leading UK Institutions:

Postdocs 2016-2024:

Derivative software projects:

Academic background

Publications:

Noskov, A., Cuevas Verdin, G., Cullen, J. M. and Cabrera Serrenho, A. (2026). Strengthening Critical Mineral Supply Chain Resilience through Multi-Scale Geospatial Monitoring. Knowledge Brief. University of Cambridge. Apollo – University of Cambridge Repository. CCML-A4_PB4_digital_v2.pdf, Internal Link, 10.17863/CAM.128869

Journal Papers:

Book Chapters:

Fully Refereed Conference Papers:

Other Publications

Key words, skills, experience (2005 - 2026)

(main) Remote Sensing, Pattern Recognition, Computer Vision, Machine Learning, Spatial Statistics, Object Detection, UAV, UGV.

GIS, 3D Geo-Spatial Generalization and Visualization, Big Spatial Data Quality, Data Fusion, Quality-of-Service, WebGIS, Big Spatial Data, OpenStreetMap (VGI), Open Data, Arctic Coastal and Bottom Dynamics

(technology) Computer Vision, Spatial Statistics, Computational Geometry, Information Theory, Machine Learning, Map Algebra

(programming) Tcl/Tk, Unix/Bash, Python(numpy), C, C#, VTK, ImageMagic, NodeJS, OpenCV

(software) Free Open Source Software, Emacs, Apache Web Server, Debian GNU/Linux (+Ubuntu, OpenSuse, Gentoo, CentOS), Office (LaTeX, Microsoft, Libre), Vector (Inkscape, Adobe Illustrator) and Raster (GIMP, Adobe Photoshop) Graphics, CAD (LibreCAD and Autocad)

(web) REST API, HTML5/CSS3, JavaScript, JQuery, Apache Rivet, (Geo)Django

(databases) SQLite, PostgreSQL, MariaDB (MySQL)

(GIS) Spatialite, PostGIS, GDAL/OGR, Proj4, QGIS, GRASS GIS (Python and C API), ArcGIS (ArcMap, ArcScene, etc.), AcrGIS Engine (C#), OpenLayers, CesiumJS

Past Awards and Activity

Past Activity