David Suter

David Suter currently serves as Research Professor in AI at Edith Cowan University, following significant tenures at the University of Adelaide and Monash University. His research has fundamentally shaped computer vision and spatial data analysis, with particular emphasis on robust statistical methods. His work spans multiple areas including computer vision, pattern recognition, big data analysis, and machine learning, with special expertise in robust statistical fitting and computational geometry. His research impact is evidenced by highly-cited publications, including groundbreaking work on image stitching, supervised hashing for high-dimensional data, and object tracking. As a leader in robust statistics and model fitting, he has made significant contributions to developing algorithms for handling outlier-contaminated data in computer vision applications. Through his leadership at various institutions, he has advanced the field of scientific computing while mentoring numerous researchers and teaching across computer science and engineering disciplines. His work has earned substantial research funding, including multiple ARC grants for developing statistical methods in computer vision, and his publications have garnered thousands of citations, particularly in areas of geometric model fitting and visual tracking.