Anticipated Start Date: February 15th, 2021 Anticipated End Date (If Applicable): March 15th, 2021 Remote Work Eligibility Detail: Entirely remote or contactless during COVID-19 pandemic. Anticipated Hours Per Week: 5~10 hours per week Schedule: …
News
Urban Flood Mapping with Machine Learning, Computer vision, and Remote Sensing
Updated on Sep 7, 2023| By Qunying Huang Remote sensing imagery and pattern recognition algorithms, such as support vector machines, and deep learning models, are increasingly used to map flood extent. However, current models rely …
Altas’s work was featured in multiple news
A geographic shift: Majority of Dane County COVID-19 cases now outside Madison Source >> ‘Improve their awareness of danger’: UW-Madison Ph.D. student creates COVID-19 data dashboard Source >> Good job, Atlas! We are proud of …
COVID-19 Data Dashboard
An interactive COVID-19 data dashboard by Atlas Guo in our lab is available on both desktop and mobile.
CFP: IEEE ICMLA-2020 Special Session on AI with Geographic Information Systems for Social Good
The purpose of the IEEE ICMLA 2020 workshop on AI with Geographic Information Systems for Social Good is to disseminate the research focusing on social problems for which the synthesis of AI and GIS has the potential to offer innovative solutions. This workshop aims to bring together researchers and practitioners across AI, GIS, and a range of application domains on the frontiers of frameworks, theories, and methods.
CFP: IJGI Special Issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics”
We are inviting submissions to a new special issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics” by the ISPRS International Journal of Geo-Information. Articles being submitted should involve advancement to theories and methods and/or applications integrating spatial and temporal datasets at varying scales for crisis informatics. The articles should leverage existing theories and/or develop new theories of scaling and spatiotemporal modeling while taking advantage of big data theories and technologies to aid with crisis/disaster preparedness, mitigation, recovery, and resilience.