Morteza Karimzadeh

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Assistant Professor

University of Colorado Boulder

United States

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Dr. Morteza Karimzadeh is an Assistant Professor at the University of Colorado Boulder, USA. His research interests encompass geographic information systems, deep learning applications in environmental studies, and infectious disease forecasting. Recent publications include works on dengue serotype mapping, sea ice charting enhancements, and COVID-19 hospitalization predictions, reflecting his commitment to advancing knowledge in public health and environmental science.

Recent Grants

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Collaborative Research: EarthCube Data Capabilities: Enabling Analysis of Heterogeneous, Multi-source Cryospheric Data

Open Date: 2020-09-01

Close Date: 2023-08-31

Articles (17)

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Collaborators (15)

Myungjin Kim

Assistant Professor

Kyungpook National University

SOUTH KOREA

Morteza Karimzadeh

Research Interests

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About

Recent Grants

Articles (17)

High-Resolution Estimation of Daily PM<sub>2.5</sub> Levels in the Contiguous US Using Bi-LSTM with Attention

GeoDEN: A Visual Exploration Tool for Analyzing the Geographic Spread of Dengue Serotypes

Integrating spatiotemporal features in LSTM for spatially informed COVID-19 hospitalization forecasting

Enhancing and Interpreting Deep Learning for Sea Ice Charting using the AutoICE Benchmark

Assessing vulnerability for future Zika virus outbreaks using seroprevalence data and environmental suitability maps.

Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts

Texts

Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions

Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help

Model Ensemble With Dropout for Uncertainty Estimation in Sea Ice Segmentation Using Sentinel-1 SAR

The United States COVID-19 Forecast Hub dataset

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

Spatiotemporal prediction of COVID-19 cases using inter- and intra-county proxies of human interactions

VASSL: A Visual Analytics Toolkit for Social Spambot Labeling

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies

The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics

Collaborators (15)

Myungjin Kim

Benjamin Lucas

Xinyi Li

Jieqiong Zhao

Maximilian Nickel

Jürgen Bosch

Nicholas Hughes

Jimeng Sun

David Ebert

Lindsay Keegan

Dean Karlen

Jan Felix Drexler

Andrew P. Barrett

Zhongying Wang

James Crooks

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