Joseph Kasprzyk

  • Joseph Kasprzyk
    Associate Professor of Civil Engineering
    University of Colorado Boulder

    Joseph Kasprzyk

    I'm associate professor in the Civil Environmental and Architectural Engineering Department at the University of Colorado Boulder. My research group focuses on multi-objective decision making and model diagnostics for engineering problems. Areas of focus include water resources planning and management, environmental engineering applications, and advancing methodological contributions to decision making and optimization under uncertainty. Methods used in the research range from high performance computing with millions of simulation model runs, to interactive workshops with stakeholders that assess the extent to which the optimization tools developed in this research are applicable to real-world decision making. I hold the BS, MS, and PhD degrees from Penn State University. In my free time, I play in a band, and I also like to go jogging and hiking.

Publications

  • Heldmyer, Aaron, Ben Livneh, James McCreight, Laura Read, Joseph Kasprzyk, and Toby Minear. 2022. “Evaluation of a New Observationally Based Channel Parameterization for the National Water Model.” Hydrology and Earth System Sciences 26 (23): 6121–36.   https://doi.org/10.5194/hess-26-6121-2022

  • Modi, Parthkumar A., Eric E. Small, Joseph Kasprzyk, and Ben Livneh. 2022. “Investigating the Role of Snow Water Equivalent on Streamflow Predictability during Drought.” Journal of Hydrometeorology 23 (10): 1607–25.   https://doi.org/10.1175/JHM-D-21-0229.1

  • Raseman, W.J., J. Jacobson, and J.R. Kasprzyk (2019). Parasol: An open source, interactive parallel coordinates library for multi-objective decision making. Environmental Modelling and Software, Vol. 116: 153-163.   doi: 10.1016/j.envsoft.2019.03.005

  • Smith, R.M., J.R. Kasprzyk, and R. Balaji (2019). Using multivariate regression trees and multiobjective tradeoff sets to reveal fundamental insights about water resources systems. Environmental Modelling and Software, Vol 120: 104498.   doi: 10.1016/j.envsoft.2019.104498

  • Smith, R., J. Kasprzyk, and L. Dilling (2019). Testing the potential of Multiobjective Evolutionary Algorithms (MOEAs) with Colorado water managers. Environmental Modelling & Software, Vol. 117, 149-163.   doi: 10.1016/j.envsoft.2019.03.011

  • Barnhart, B.L., H.E. Golden, J.R. Kasprzyk, J.J. Pauer, C.E. Jones, K.A. Sawicz, N. Hoghooghi, M. Simon, R.B. McKane, P.M. Mayer, A.N. Piscopo, D.L. Ficklin, J.J. Halama, P.B. Pettus, and B. Rashleigh (2018). Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: Successes and challenges. Environmental Modelling and Software, Vol. 109: 368-379.   doi: 10.1016/j.envsoft.2018.08.025

  • Kasprzyk, J.R., R.M. Smith, A.S. Stillwell, K. Madani, D. Ford, D. McKinney, and S. Sorooshian (2018). Defining the role of water resources systems analysis in a changing future. Journal of Water Resources Planning and Management, Vol. 144(12).   doi: 10.3390/rs10121945

  • Smith, R., J. Kasprzyk, and L. Basdekas (2018). Experimenting with Water Supply Planning Objectives Using the Eldorado Utility Planning Model Multireservoir Testbed. Journal of Water Resources Planning and Management, 144 (8): 04018046.   doi: 10.1061/(ASCE)WR.1943-5452.0000962

  • Houle, E.S., B. Livneh, and J.R. Kasprzyk (2017). Exploring Snow Model Parameter Sensitivity Using Sobol' Variance Decomposition. Environmental Model and Software, 89, 144–158,   doi: 10.1016/j.envsoft.2016.11.024
  • Raseman, W.J., J.R. Kasprzyk, F.L. Rosario-Ortiz, J.R. Stewart, and B. Livneh (2017). Emerging Investigators Series: A Critical Review of Decision Support Systems for Water Treatment: Making the Case for Incorporating Climate Change and Climate Extremes. Environmental Science: Water Research & Technology, 3 (1): 18–36,   doi: 10.1039/C6EW00121A

  • Smith, R., J. Kasprzyk, and L. Dilling (2017). Participatory Framework for Assessment and Improvement of Tools (ParFAIT): Increasing the impact and relevance of water management decision support research.Environmental Modelling & Software, 95, 432-446,   doi: 10.1016/j.envsoft.2017.05.004

  • Stewart, J.S., B. Livneh, J.R. Kasprzyk, J.T. Minear, B. Rajagopalan, and W.J. Raseman (2017). A multi-algorithm approach to land surface modeling of suspended sediment in the Colorado Front Range. Journal of Advances in Models Earth Systems, 9(7), 2526-2544,   doi: 10.1002/2017MS001120

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