Publications

Journal Articles

  1. Mandal, D., Zou, L., Abedin, J., Zhou, B., Yang, M., Lin, B., & Cai, H. (2023). Algorithmic Uncertainties in Geolocating Social Media Data for Disaster Management. Cartography and Geographic Information Science. https://doi.org/10.1080/15230406.2023.2286385
  2. Mandal, D., Zou, L., Wilkho, R. S., Abedin, J., Zhou, B., Cai, H., Baig, F., Gharaibeh, N., & Lam, N. (2024). PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancement. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2024.102197
  3. Lin, B., Zou, L., Yang, M., Zhou, B., Mandal, D., Abedin, J., Cai, H., & Lam, N. (2024). Understanding Human–COVID-19 Dynamics Using Geospatial Big Data: A Systematic Literature Review. Annals of GIS. https://doi.org/10.1080/19475683.2024.2418584
  4. Zhou, B., Zou, L., Yang, M., Lin, B., Mandal, D., Abedin, J., Cai, H., Ji, S., Klein, A., & Gharaibeh, N. (2024). Rapid Disaster Response and Damage Estimation with Social Media and Pretrained Large Language Models: Insights from Multiple Hurricanes. Annals of the American Association of Geographers. (Accepted for Publication)
  5. Abedin, J., Zou, L., Yang, M., Rohli, R., Mandal, D., Qiang, Y., Akter, H., Zhou, B., Lin, B., & Cai, H. (2024). Deciphering Spatial–Temporal Dynamics of Flood Exposure in the United States. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2024.105444
  6. Zhou, B., Zou, L., Yang, M., Lin, B., Mandal, D., & Abedin, J. (2024). Overlooked Voices under Lockdown: Mapping Humanitarian Needs in 2022 Shanghai COVID-19 Outbreak. Cartography and Geographic Information Science. https://doi.org/10.1080/15230406.2024.2314547
  7. Zhou, B., Zou, L., Mostafavi, A., Lin, B., Yang, M., Gharaibeh, N., Cai, H., Abedin, J., & Mandal, D. (2022). VictimFinder: Harvesting Rescue Requests in Disaster Response from Social Media with BERT. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2022.101824
  8. Lin, B., Zou, L., Duffield, N., Mostafavi, A., Cai, H., Zhou, B., Tao, J., Yang, M., Mandal, D., & Abedin, J. (2022). Revealing the Linguistic and Geographical Disparities of Public Awareness to COVID-19 Outbreak through Social Media. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2022.2070677
  9. Yang, M., Zou, L., Cai, H., Qiang, Y., Lin, B., Zhou, B., Abedin, J., & Mandal, D. (2022). Spatial–Temporal Land Loss Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana. Remote Sensing. https://doi.org/10.3390/rs14040896
  10. Ghosh, S., Goenka, A., Deo, M., & Mandal, D. (2017). Vernacular Architecture as an Idiom for Promoting Cultural Continuity in South Asia. AI & Society Journal. https://doi.org/10.1007/s00146-017-0754-z

Book Chapters

  1. Zou, L., Mostafavi, A., Zhou, B., Lin, B., Mandal, D., Yang, M., Abedin, J., & Cai, H. (2023). GeoAI for disaster response. In Handbook of Geospatial Artificial Intelligence. CRC Press. doi:10.1201/9781003308423-14
  2. Joseph, N., & Mandal, D. (2018). Comparative study of predictive models in microbial induced corrosion. In Machine Learning and IoT: A Biological Perspective. Taylor & Francis. doi:10.1201/9781351029940-6

Preprints & In Review