Debayan Mandal

Assistant Teaching Professor

Arizona State University

United States

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About

Debayan Mandal is an Assistant Teaching Professor at Arizona State University in the United States. His research areas focus on geospatial data applications in disaster management, including algorithmic uncertainties, spatial-temporal dynamics of flood exposure, and the impact of COVID-19 on humanitarian needs. He has published articles on topics such as CyberGIS for resilience measurement and the use of social media for disaster response.

Articles (8)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Collaborators (5)

Lei Zou

Assistant Professor

Texas A&M University

UNITED STATES

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Nick Duffield

Texas A&M University

UNITED STATES

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Bing Zhou

UNITED STATES

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Heng Cai

Assistant Professor

Texas A&M University

UNITED STATES

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Joynal Abedin

UNITED STATES

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Debayan Mandal

Research Interests

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About

Articles (8)

Overlooked voices under strict lockdown: mapping humanitarian needs in 2022 Shanghai COVID-19 outbreak

Algorithmic uncertainties in geolocating social media data for disaster management

Deciphering spatial-temporal dynamics of flood exposure in the United States,

PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancement

Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review

Spatial–Temporal Land Loss Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana

Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media

VictimFinder: Harvesting rescue requests in disaster response from social media with BERT

Collaborators (5)

Lei Zou

Nick Duffield

Bing Zhou

Heng Cai

Joynal Abedin

Make your next move.

Debayan Mandal

Research Interests

Explore related searches

Contact this professor

About

Articles (8)

Overlooked voices under strict lockdown: mapping humanitarian needs in 2022 Shanghai COVID-19 outbreak

Algorithmic uncertainties in geolocating social media data for disaster management

Deciphering spatial-temporal dynamics of flood exposure in the United States,

PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancement

Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review

Spatial&ndash;Temporal Land Loss Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana

Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media

VictimFinder: Harvesting rescue requests in disaster response from social media with BERT

Collaborators (5)

Lei Zou

Nick Duffield

Bing Zhou

Heng Cai

Joynal Abedin

Make your next move.

Spatial–Temporal Land Loss Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana