Staff

Kris Villez

Dr. Kris Villez

Department Process Engineering

About Me

Development of data- and knowledge-based modelling and optimization techniques constitutes the main focus of our efforts. This research is accommodated to three challenging goals:

  • Sensor management - in which sensors are monitored and diagnosed and data quality is assessed and optimized on-line
  • Process intelligence - in which computer-based representations and predictions of process states are used for process monitoring and operation
  • Control - in which automation of aquatic processes is pursued
    The developed methods are applied to wastewater treatment processes primarily although the generality of our approach supports collaborative and inter-disciplinary projects outside of this application domain.

More information: Spike website


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Selected publications

Mašić, A.; Udert, K. M.; Villez, K. (2016) Global parameter optimization for biokinetic modeling of simple batch experiments, Environmental Modelling and Software, 85, 356-373, doi:10.1016/j.envsoft.2016.06.015, Institutional Repository
Mašić, A.; Santos, A. T. L.; Etter, B.; Udert, K. M.; Villez, K. (2015) Estimation of nitrite in source-separated nitrified urine with UV spectrophotometry, Water Research, 85, 244-254, doi:10.1016/j.watres.2015.08.031, Institutional Repository
Schielke-Jenni, S.; Villez, K.; Morgenroth, E.; Udert, K. M. (2015) Observability of anammox activity in single-stage nitritation/anammox reactors using mass balances, Environmental Science: Water Research and Technology, 1(4), 523-534, doi:10.1039/c5ew00045a, Institutional Repository
Villez, K.; Habermacher, J. (2016) Shape anomaly detection for process monitoring of a sequencing batch reactor, Computers and Chemical Engineering, 91, 365-379, doi:10.1016/j.compchemeng.2016.04.012, Institutional Repository
Villez, K.; Vanrolleghem, P. A.; Corominas, L. (2016) Optimal flow sensor placement on wastewater treatment plants, Water Research, 101, 75-83, doi:10.1016/j.watres.2016.05.068, Institutional Repository
Villez, K. (2015) Qualitative path estimation: a fast and reliable algorithm for qualitative trend analysis, AICHE Journal, 61(5), 1535-1546, doi:10.1002/aic.14736, Institutional Repository

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Address

E-Mail: kris.villez@eawag.ch
Phone: +41 58 765 5280
Fax: +41 58 765 5802
Address: Eawag
Überlandstrasse 133
8600 Dübendorf
Office: BU B09

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