Zobaer Ahmed
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Director
Also affiliated: Ghent University (2018); Apple (United States) (2015); Government of New York City (2024)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Zobaer Ahmed is a multidisciplinary researcher with over 10 years of experience in data science, international development, and project management. His work often bridges technical expertise in machine learning, GIS, remote sensing, and R programming with domain knowledge in government, policy, and global development. Ahmed has collaborated with international organizations and government agencies to address complex problems and drive change. His research has focused on climate change impacts on agriculture, particularly in vulnerable regions like Bangladesh, and the adoption of agricultural technologies. He has also investigated the application of remote sensing methodologies for monitoring agricultural practices, such as cover crop identification and crop rotations. Ahmed holds an h-index of 6 with 263 citations across 13 publications. He has co-authored multiple publications with researchers from the University of Arkansas at Fayetteville and Arkansas State University.
Metrics
- h-index: 6
- Publications: 11
- Citations: 275
Positions
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Director 2023–presentNYC Office of the Mayor Research and Evaluation ORCID
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Director publications 2022–2025University of Arkansas at Fayetteville ORCID
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Senior Research Assistant 2021–2023University of Arkansas Fayetteville Center for Advanced Spatial Technologies (CAST) ORCID
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Graduate Researcher 2020–2021Arkansas State University Environmental Science ORCID
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Assistant Manager (Research) 2013–2017Friendship NGO Monitoring and Research ORCID
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Country Manager, Bangladesh 2016Premise Data (USA) Market Research ORCID
Selected Publications
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Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain (2025)
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Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation (2023)
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An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture (2023)
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Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh (2022)
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Agriculture in Riverine Chars: Vulnerabilities to Climate Change and Community-Based Adaptation (2021)
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Climate change risk perceptions and agricultural adaptation strategies in vulnerable riverine char islands of Bangladesh (2021)
Collaboration Network
Top Collaborators
- Climate change risk perceptions and agricultural adaptation strategies in vulnerable riverine char islands of Bangladesh
- Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh
- An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Climate change risk perceptions and agricultural adaptation strategies in vulnerable riverine char islands of Bangladesh
- Climate change risk perceptions and agricultural adaptation strategies in vulnerable riverine char islands of Bangladesh
- Agriculture in Riverine Chars: Vulnerabilities to Climate Change and Community-Based Adaptation
- Agriculture in Riverine Chars: Vulnerabilities to Climate Change and Community-Based Adaptation
- Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh
- Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh
- Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh
- Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh
- Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh
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