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Clark University
Center for
Geospatial Analytics

Conference Presentations

A picture from Clark CGA Collaborative Workshop 2024
Our conference presentations feature cutting-edge insights shared at major industry and academic events. From keynote addresses to workshop sessions, these resources reflect the evolving landscape of geospatial analytics.

Presentations: 

  1. Alemohammad H., Godwin D., Balogun R., Khallaghi S., Roy S., Ramachandran R., GFM-Bench: A Benchmark to Evaluate Geospatial Characteristics of Foundation Models, 2024 AGU Annual Meeting, Washington, DC, USA, Dec. 2024. (link)

  2. Alemohammad, H., Transforming Global Challenges with Geospatial AI, Korean Academy of Development Policy Winter Conference (invited), Nov. 2024.

  3. Alemohammad, H., Advancing Foundation Models for Geospatial Applications, Washington State University (invited), Oct. 2024.

  4. Alemohammad, H., Advancing Foundation Models for Geospatial Applications, Mathematica (invited), Oct. 2024

  5. Alemohammad, H., The State of GeoAI: Advancements, Opportunities, and Challenges, New York State Geospatial Summit (invited), Sep. 2024.

  6. Alemohammad, H., Advancements and Applications of Foundation Models for Earth Observations, Amazon Sustainability Speaker Series (invited), Virtual, May 2024.

  7. Alemohammad, H., The State of GeoAI: Opportunities, Challenges, and Risks, Evaluating the Science of Geospatial AI, Harvard CGA 2024 Conference (invited), Cambridge, MA, May 2024.

  8. Alemohammad, H., Reproducibility and Uncertainty in the Era of Geospatial AI, Evaluating the Science of Geospatial AI, Harvard CGA 2024 Conference, Cambridge, MA, May 2024.

  9. Alemohammad, H., Transforming Global Challenges with Geospatial Analytics, US Summit: The National Geospatial Ecosystem of the United States at the 2024 Geospatial World Forum, Rotterdam, The Netherlands, May 2024. (link)

  10. Alemohammad, H., Advancing Foundation Models for Geospatial Applications with Scarce Reference Data, Measuring Development Conference (invited), Washington, DC, May 2024. (link)

  11. Alemohammad, H., Fine-Tuning Foundation Models for Downstream Applications of Remote Sensing Data, 2024 AAG Annual Meeting, Honolulu, HI, Apr. 2024.

  12. Alemohammad, H., A New Era for Geospatial Analytics: Advancements and Applications of Foundation Models in Remote Sensing, Harvard ABCD-GIS / Geography Colloquium, Harvard Center for Geographic Analysis (invited), Cambridge, MA, May 2024. (link)

  13. Alemohammad, H., Applications of Foundation Models in Earth Sciences Applied to Remote Sensing Imagery, 2nd U.S.-Africa Frontiers of Science, Engineering, and Medicine Symposium, Rabat, Morocco, Jan. 2024.

  14. Alemohammad, H., Transforming Earth Observation Analytics: Advancements and Applications of Foundation Models in Remote Sensing, CV4EO Workshop at IEEE WACV (invited), Waikoloa Beach, HI, USA, Jan. 2024.

  15. Alemohammad, H., Li, H., Cecil, M., Khallaghi, S., Godwin, D., Ahmadi, M., Kordi, F., Roy, S., Jakubik, J., Fraccaro, P., Ganti, R.K., Ramachandran, R., Exploring Effectiveness of Foundation Models for Downstream Applications on Satellite Data, 2023 AGU Annual Meeting, San Francisco, CA, USA, Dec. 2023. (link)

  16. Ahmadi, M., Khallaghi, S., Cecil, M., Roy, S.,Jakubik, J., Fraccaro, P., Alemohammad, H., Assessing Performance of a Foundation Model for Multi-Label Image Classification of Satellite Imagery, 2023 AGU Annual Meeting, San Francisco, CA, USA, Dec. 2023. (link)

  17. Khallaghi, S., Li, H., Cecil, M., Kordi, F., Roy, S., Jakubik, J., Fraccaro, P., Alemohammad, H., Evaluating Foundation Models for Crop Type Segmentation Using Multi-temporal Multi-spectral Satellite Imagery, 2023 AGU Annual Meeting, San Francisco, CA, USA, Dec. 2023. (link)

  18. Godwin, D., Cecil, M., Li, H., Roy, S., Jakubik, J., Fraccaro, P., Alemohammad, H., Comparative Analysis of Vision Transformer and CGAN Models for Cloud Gap Filling in Time Series of Satellite Images, 2023 AGU Annual Meeting, San Francisco, CA, USA, Dec. 2023. (link)

  19. Alemohammad, H., AI and open remote sensing data for crop yields prediction, International workshop on Earth Observation for Food Security, World Bank (invited), Washington, DC, USA, May 2023.

  20. Alemohammad, H., Incorporating Training Data Uncertainty in Machine Learning Models for Satellite Imagery, European Geophysical Union, Vienna, Austria, Apr. 2023. (link)

  21. Alemohammad, H., Amplifying Impact through Collaborative Ecosystems for Geospatial Analytics, GeoBuiz Summit, Monterey, CA, USA, Mar. 2023.