Amir Hassani
Scientist
+47 63 89 80 17
+47 967 09 413
Urban Environment and Industry
Kjeller
ahas@nilu.no
Amir is an Environmental Data Scientist with a PhD from the University of Manchester, where his research focused on modelling large-scale processes near Earth’s surface, particularly under current and projected climate conditions.
At NILU, his research is currently focused on enhancing the utility of novel low-cost sensor networks by integrating data from static, mobile, and wearable sensors with complementary datasets such as satellite remote sensing, air quality models, and citizen-contributed information.
His core competencies include machine learning, spatial analysis, and statistical data analytics, all of which he applies to investigate the physical, human, and policy dimensions of global environmental change. He is particularly interested in the drivers and impacts of changes in areas such as air quality, climate, urbanization, biodiversity, and ecosystem services. His work supports theoretically and empirically robust insights to advance knowledge on environmental change and its implications for society.
Amir Hassani has 38 publications at NILU:
2025
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
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2024
2024
2024
2023
2023
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2023
2022
2022
Empowering citizens in collaborative environmental compliance assurance via MOnitoring, REporting and action (more4nature)
more4nature is a transformative project aimed at fostering a citizen-centric approach to environmental governance. The project envisions a sustainable future where citizens and communities play a pivotal role in reversing […]
CitiObs – Enhancing Citizen Observatories for healthy, sustainable, resilient and inclusive cities
CitiObs seeks to revolutionize urban environmental governance by empowering citizens to become active contributors to the observation and management of their local environments. The project’s core objective is to consolidate […]
Innovative sensor networks and citizen empowerment for urban sustainable mobility and clean air (URBANITY)
URBANITY aims to redefine urban environmental management and mobility planning by integrating innovative sensor technologies with active citizen participation. By addressing the challenges of air pollution and greenhouse gas emissions, […]
Amir is an Environmental Data Scientist with a PhD from the University of Manchester, where his research focused on modelling large-scale processes near Earth’s surface, particularly under current and projected climate conditions.
At NILU, his research is currently focused on enhancing the utility of novel low-cost sensor networks by integrating data from static, mobile, and wearable sensors with complementary datasets such as satellite remote sensing, air quality models, and citizen-contributed information.
His core competencies include machine learning, spatial analysis, and statistical data analytics, all of which he applies to investigate the physical, human, and policy dimensions of global environmental change. He is particularly interested in the drivers and impacts of changes in areas such as air quality, climate, urbanization, biodiversity, and ecosystem services. His work supports theoretically and empirically robust insights to advance knowledge on environmental change and its implications for society.
Amir Hassani has 38 publications at NILU:
2025
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2024
2023
2023
2023
2023
2023
2023
2023
2023
2023
2022
2022
Empowering citizens in collaborative environmental compliance assurance via MOnitoring, REporting and action (more4nature)
more4nature is a transformative project aimed at fostering a citizen-centric approach to environmental governance. The project envisions a sustainable future where citizens and communities play a pivotal role in reversing […]
CitiObs – Enhancing Citizen Observatories for healthy, sustainable, resilient and inclusive cities
CitiObs seeks to revolutionize urban environmental governance by empowering citizens to become active contributors to the observation and management of their local environments. The project’s core objective is to consolidate […]
Innovative sensor networks and citizen empowerment for urban sustainable mobility and clean air (URBANITY)
URBANITY aims to redefine urban environmental management and mobility planning by integrating innovative sensor technologies with active citizen participation. By addressing the challenges of air pollution and greenhouse gas emissions, […]