Professor Malik is interested in teaching courses such as GIS, spatial analysis, spatial statistics and remote sensing. In his teaching, he emphasizes spatio-temporal thinking as this is crucial to understanding spatial patterns and processes driving terrestrial change. His research revolves around the application of computer vision methods to detect and quantify change. It also focuses on how to integrate traditional spatial pattern comparison and change detection methods in GIS/GScience with machine learning methods. He has successfully applied computer vision tools to characterize changes in snow patterns over the Northwest Territories and to detect gold placer mining disturbances in Yukon, Canada.