Research output per year
Research output per year
Personal profile
Biography
Muhammad Imran is a geospatial data scientist. His research interests center on understanding how climate extremes propagate through agro-ecosystems – from hazard drivers (precipitation deficits, heat stress, and flood inundation) to vegetation responses (phenological shifts, biomass loss) and ultimately to impacts on production and livelihoods.
His PhD research at the University of Twente, the Netherlands developed a spatial-statistical, uncertainty-aware upscaling framework within a Spatial Data Infrastructure (SDI) to integrate Earth observation (EO) and socio-environmental data for farm-scale agricultural impact assessment. This work linked agricultural outputs to livelihood and poverty outcomes in Burkina Faso, West Africa. He has supervised and successfully graduated two PhD and 30+ MS scholars in Pakistan:
At DSI, he is engaged in multidisciplinary research to develop the causal backbone of farm/field-level agricultural digital twins that connect (i) climate-induced hydro-meteorological extremes (heatwaves and droughts), (ii) GeoAI/ML and EO advances from the Earth Observation Lab, and (iii) application of yield-water-emissions interactions for paludiculture. In doing so, he emphasises that these agricultural twins should be scientifically rigorous and undergo robust validation, uncertainty quantification, and risk analysis aligned with EU regulations on the responsible use of GeoAI/ML models and data (e.g., the EU AI Act and GDPR). In this context, he is also investigating how EU data-access regimes shape the viability of GeoAI and agricultural digital twins, particularly their ability to operate in real time and remain adaptable using data streams ranging from citizen sensors to regional and local SDIs (e.g., INSPIRE and Germany’s GDI-DE).
Education/Academic qualification
MSc, MIT, PhD
Keywords
- G Geography (General)
- Geographical Information Systems
- Agriculture
- Earth Observation
- Digital twins
- GA Mathematical geography. Cartography
- Spatial Analysis of biodiversity
Accepting PhD Students
- Accepting PhD Students
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 5 Gender Equality -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EU Data Access Regimes and the Viability of GeoAI: From Citizen Sensors to Regional and Local SDIs
Imran, M., 2026Research output: Other contribution (Published) › Other contribution
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Fruit yield estimation of kinnow mandarin (Citrus reticulata) orchards – integrating canopy physiology with remote sensing
Ali, A., Imran, M., Ahmad, T. & Abbas, G., 3 Mar 2026, In: Arabian Journal of Geosciences. 19, 37Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Smartphone technology adoption of university students for distance learning in Pakistan: COVID-19 data-driven decision tree learning
Jabeen, M., Imran, M. & Rafiq, M., Sept 2025, In: Journal of Librarianship and Information Science. 57, 3, p. 937-951 15 p.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Smartphone technology adoption of university students for distance learning in Pakistan: COVID-19 data-driven decision tree learning
Jabeen, M., Imran, M. & Rafiq, M., 2025, In: Journal of Librarianship and Information Science.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
1 Citation (Scopus) -
Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping
Akhtar, Z., Qazi, U., El-Sakka, A., Sadiq, R., Ofli, F. & Imran, M., 2024, Thirty-sixth Aaai Conference on Artificial Intelligence / Thirty-fourth Conference on Innovative Applications of Artificial Intelligence / the Twelveth Symposium on Educational Advances in Artificial Intelligence.Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication