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


[[ element.title ]]

[[ element.title ]]

[[ element.title ]]

Selected publications

Russo, S.; Li, G.; Villez, K. (2019) Automated model selection in principal component analysis: a new approach based on the cross-validated ignorance score, Industrial and Engineering Chemistry Research, 58(30), 13448-13468, doi:10.1021/acs.iecr.9b00642, Institutional Repository
Schneider, M. Y.; Carbajal, J. P.; Furrer, V.; Sterkele, B.; Maurer, M.; Villez, K. (2019) Beyond signal quality: the value of unmaintained pH, dissolved oxygen, and oxidation-reduction potential sensors for remote performance monitoring of on-site sequencing batch reactors, Water Research, 161, 639-651, doi:10.1016/j.watres.2019.06.007, Institutional Repository
Blumensaat, F.; Leitão, J. P.; Ort, C.; Rieckermann, J.; Scheidegger, A.; Vanrolleghem, P. A.; Villez, K. (2019) How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan, Environmental Science and Technology, 53(15), 8488-8498, doi:10.1021/acs.est.8b06481, Institutional Repository
Villez, K.; Billeter, J.; Bonvin, D. (2019) Incremental parameter estimation under rank-deficient measurement conditions, Processes, 7(2), 75, doi:10.3390/pr7020075, Institutional Repository
Corominas, L.; Garrido-Baserba, M.; Villez, K.; Olsson, G.; Cortés, U.; Poch, M. (2018) Transforming data into knowledge for improved wastewater treatment operation: a critical review of techniques, Environmental Modelling and Software, 106, 89-103, doi:10.1016/j.envsoft.2017.11.023, Institutional Repository
Thürlimann, C. M.; Dürrenmatt, D. J.; Villez, K. (2018) Soft-sensing with qualitative trend analysis for wastewater treatment plant control, Control Engineering Practice, 70, 121-133, doi:10.1016/j.conengprac.2017.09.015, Institutional Repository

[[ element.title ]]

[[ element.title ]]

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

[[ element.title ]]

[[ element.title ]]

[[ element.title ]]

[[ element.title ]]

[[ element.title ]]