2025

  • Grimm, T. R., & Newhart, K. B., & Hering, A. S. (2025). Nonparametric threshold estimation of autocorrelated statistics in multivariate statistical process monitoring. Journal of Chemometrics, 39(2), e70004.
  • Black, A., Newhart, K., Linvill, C., Pytlar, A., Galaitsi, S., Fairfield, C., Wait, M., Bennett, E., Butkus, M., & Pfluger, A. R. (2025). A linguistic analysis of energy terminology in the wastewater literature. Water Science & Technology, 91(6), 671–683. IWA Publishing.
  • Newhart, K. B., Thompson, K. A., Branch, A., Salveson, A., Safarik, J., & Plumlee, M. H. (2025). NDMA soft-sensors for potable reuse: A model development study. Water Research, 124451. Pergamon.

2024

  • Grimm, T. R., Branch, A., Thompson, K. A., Salveson, A., Zhao, J., Johnson, D., Hering, A. S., & Newhart, K. B. (2024). Long-term statistical process monitoring of an ultrafiltration water treatment process. ACS ES&T Engineering, 4(6), 1492–1506.
  • Quell, K., Robbins, C., Newhart, K. B., & Pfluger, A. R. (2024). A summer leader experience for rising high school seniors–Integrating an introduction to environmental science & engineering. 2024 ASEE Annual Conference & Exposition.
  • Hering, A. S., Newhart, K. B., & Weix, D. (2024). Mo (Wa)²TER data science workshop material. Harvard Dataverse dataset, 462.

2023

  • Newhart, K. B., Klanderman, M. C., Hering, A. S., & Cath, T. Y. (2023). A holistic evaluation of multivariate statistical process monitoring in a biological and membrane treatment system. ACS ES&T Water, 4(3), 913–924.
  • Martin, M., Goethals, P., Newhart, K., Rhodes, E., Vogel, J., & Stevenson, B. (2023). Optimization of sewage sampling for wastewater-based epidemiology through stochastic modeling. Journal of Engineering and Applied Science, 70(1), 11.
  • Baideme, M., Newhart, K. B., Robbins, C., Butkus, M. A., & Pfluger, A. R. (2023). Influence of group learning in environmental engineering: A curriculum and course-level assessment. 2023 ASEE Annual Conference & Exposition.

2022

  • Newhart, K. B., Hering, A. S., & Cath, T. Y. (2022). Chapter 16: Data science tools to enable decarbonized water and wastewater treatment systems. In Pathways to Water Sector Decarbonization, Carbon Capture and Utilization (pp. 275–302). IWA Publishing.
  • Butkus, M., Hinckley-Boltax, A., Newhart, K., & Pfluger, A. (2022). The green escape room: Part 1–A race to solve an environmental engineering problem by applying engineering principles and deciphering clues and puzzles. 2022 ASEE Annual Conference & Exposition.
  • Newhart, K., Pfluger, A., & Butkus, M. (2022). The green escape room: Part 2–Teaching students professional engineering ethics by applying environmental engineering principles and deciphering clues and puzzles. 2022 ASEE Annual Conference & Exposition.
  • Weintraut, Z., Newhart, K., Thompson, K., & Roostaei, J. (2022). Are you ready for big data? Journal: American Water Works Association, 114(10).

2020

  • Newhart, K. B., Marks, C. A., Rauch-Williams, T., Cath, T. Y., & Hering, A. S. (2020). Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control. Journal of Water Process Engineering, 37, 101389.
  • Klanderman, M. C., Newhart, K. B., Cath, T. Y., & Hering, A. S. (2020). Fault isolation for a complex decentralized wastewater treatment facility. Journal of the Royal Statistical Society Series C: Applied Statistics, 69(4), 931–951.
  • Klanderman, M. C., Newhart, K. B., Cath, T. Y., & Hering, A. S. (2020). Case studies in real-time fault isolation in a decentralized wastewater treatment facility. Journal of Water Process Engineering, 38, 101556.
  • Newhart, K. B., Goldman-Torres, J. E., Freedman, D. E., Wisdom, K. B., Hering, A. S., & Cath, T. Y. (2020). Prediction of peracetic acid disinfection performance for secondary municipal wastewater treatment using artificial neural networks. ACS ES&T Water, 1(2), 328–338.
  • Freedman, D. E., Newhart, K. B., Goldman-Torres, J. E., Cath, T. Y., Hering, A., & Wisdom, K. B. (2020). Real-time optimization of peracetic acid disinfection at Metro Wastewater Reclamation District using artificial neural networks. WEFTEC 2020.
  • Newhart, K. B. (2020). Data-driven process monitoring and control in municipal wastewater treatment. Doctoral dissertation, Colorado School of Mines.

2019

  • Newhart, K. B., Holloway, R. W., Hering, A. S., & Cath, T. Y. (2019). Data-driven performance analyses of wastewater treatment plants: A review. Water Research, 157, 498–513.

2018

  • Odom, G. J., Newhart, K. B., Cath, T. Y., & Hering, A. S. (2018). Multistate multivariate statistical process control. Applied Stochastic Models in Business and Industry, 34(6), 880–892.

2017

  • Bell, E. A., Poynor, T. E., Newhart, K. B., Regnery, J., Coday, B. D., & Cath, T. Y. (2017). Produced water treatment using forward osmosis membranes: Evaluation of extended-time performance and fouling. Journal of Membrane Science, 525, 77–88.