Dr. Tohren Kibbey
Professor in the School of Civil Engineering and Environmental Science
University of Oklahoma
Tohren Kibbey is David Ross Boyd Professor and Lloyd G. and Joyce Austin Presidential Professor in the School of Civil Engineering and Environmental Science, where he has been since 1999. His research interests center around topics related to surface and interfacial interactions in complex natural and engineered environmental systems. Areas of particular interest include physical-chemical interactions in complex systems, behaviors in unsaturated soils/multiple-phase systems, and numerical model development for prediction and design in complex systems. Recent work has included studying the interactions of nanoparticles with biological surfaces, transport in capillary-held water films on grain surfaces, and the use of machine learning for source identification of per- and polyfluoroalkyl substances (PFAS) in environmental samples.
Supervised Machine Learning Pattern Recognition for Source Identification Based on PFAS Composition in Environmental Samples
This session will discuss recent work exploring the use of supervised machine learning pattern recognition for identifying the origin of per- and polyfluoroalkyl substances (PFAS) based on composition. The session will provide background on why pattern recognition is necessary for recognizing PFAS source from composition in environmental samples, and explain the idea behind the use of supervised machine learning for the problem. The effects of different machine learning and preprocessing methods will be discussed, as will methods of correcting for different PFAS compositions in different phases. Pitfalls of machine learning methods will be addressed, and areas of needed future work discussed.