Joseph Kasprzyk

Associate Professor and Associate Chair for Graduate Education

University of Colorado Boulder

United States

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Joseph Kasprzyk is an Associate Professor and Associate Chair for Graduate Education at the University of Colorado Boulder, USA. His research focuses on water resources systems, with recent articles exploring topics such as snowpack information in streamflow forecasting, vulnerability analysis, and the optimization of water and power networks. He is committed to addressing the challenges of long-term planning in regional water basins, particularly the Colorado River Basin.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (5)

EDITH ZAGONA

University of Colorado Boulder

UNITED STATES

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Ashlynn Stillwell

University of Illinois at Urbana-Champaign

UNITED STATES

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BEN LIVNEH

University of Colorado Boulder

UNITED STATES

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Kyri Baker

Assistant Professor

University of Colorado Boulder

UNITED STATES

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ERIC Small

University of Colorado Boulder

UNITED STATES

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Joseph Kasprzyk

Research Interests

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Articles (16)

Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information

The relative importance of model type and input features for water supply forecasting in snow-dominated basins of the southwestern US

Taxonomy of purposes, methods, and recommendations for vulnerability analysis

Balancing cost, water, emissions, and reliability in power systems operations

Interactive and Multimetric Robustness Tradeoffs in the Colorado River Basin

Conjunctive optimal operation of water and power networks

Guiding Questions for Water Resources Systems Analysis Research

Evaluation of a new observationally based channel parameterization for the National Water Model

Incorporating thermoelectric power plant water use into multi-objective optimal power flow

post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise

Decision Science Can Help Address the Challenges of Long‐Term Planning in the Colorado River Basin

Investigating the Role of Snow Water Equivalent on Streamflow Predictability during Drought

Screening Tool for Dam Hazard Potential Classification Using Machine Learning and Multiobjective Parameter Tuning

Multi-Objective Optimization Methods for Designing Low-Carbon Concrete Mixtures

Linking Reclaimed Water Consumption with Quantitative Downstream Flow Impacts

Statistical variation in the embodied carbon of concrete mixtures

Collaborators (5)

EDITH ZAGONA

Ashlynn Stillwell

BEN LIVNEH

Kyri Baker

ERIC Small

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