Kalman-based strategies for Fault Detection and Identification (FDI): Extensions and critical evaluation for a buffer tank system. - Kris Villez; Babji Srinivasan; Raghunathan Rengaswamy; Shankar Narasimhan; Venkat Venkatasubramanian (Comput. Chem. Eng., 2011)

A generative approach to qualitative trend analysis for batch process fault diagnosis. - Kris Villez; Raghunathan Rengaswamy (ECC, 2013)

Qualitative Representation of Trends (QRT): Extended method for identification of consecutive inflection points. - Kris Villez; Christian Rosen; François Anctil; Carl Duchesne; Peter A. Vanrolleghem (Comput. Chem. Eng., 2013)

Generalized shape constrained spline fitting for qualitative analysis of trends. - Kris Villez; Venkat Venkatasubramanian; Raghunathan Rengaswamy (Comput. Chem. Eng., 2013)

Shape anomaly detection for process monitoring of a sequencing batch reactor. - Kris Villez; Jonathan Habermacher (Comput. Chem. Eng., 2016)

Global parameter optimization for biokinetic modeling of simple batch experiments. - Alma Masic; Kai M. Udert; Kris Villez (Environ. Model. Softw., 2016)

Shape constrained splines as transparent black-box models for bioprocess modeling. - Alma Masic; Sriniketh Srinivasan; Julien Billeter; Dominique Bonvin; Kris Villez (Comput. Chem. Eng., 2017)

Input estimation as a qualitative trend analysis problem. - Christian M. Thürlimann; Kris Villez (Comput. Chem. Eng., 2017)

Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques. - Lluís Corominas; Manel Garrido-Baserba; Kris Villez; Gustaf Olsson; Ulises Cortés; Manel Poch (Environ. Model. Softw., 2018)

A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems - With application to wastewater treatment plants. - Kris Villez; Peter A. Vanrolleghem; Lluís Corominas (Comput. Chem. Eng., 2020)

Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring Data. - Stefania Russo; Andy Disch; Frank Blumensaat; Kris Villez (CoRR, 2020)

Active learning for anomaly detection in environmental data. - Stefania Russo; Moritz Lürig; Wenjin Hao; Blake Matthews; Kris Villez (Environ. Model. Softw., 2020)

Accounting for erroneous model structures in biokinetic process models. - Kris Villez; Dario Del Giudice; Marc B. Neumann; Jörg Rieckermann (Reliab. Eng. Syst. Saf., 2020)

Qualitative trend analysis based on a mixed-integer representation. - Dhrubajit Chowdhury; Kris Villez (Comput. Chem. Eng., 2023)

Unsupervised anomaly clustering via offset alignment in multivariate grid sensing data. - Subrata Mukherjee; Paul Groth; Drew Herron; Bruce R. J. Warmack; Kris Villez (ICPHM, 2025)