Chengkai Fan

About

Chengkai Fan is an Assistant Professor at Laval University, Canada. His research focuses on the application of machine learning in geotechnical engineering and mining operations, particularly in optimizing the characteristics of cement-based materials and predicting truck productivity in open-pit mines. Recent articles include studies on machine learning models for estimating truck cycle times and forecasting the compressive strength of various cement mixtures.