Dr David Hall is a postdoctoral research fellow at the Australian Centre for Robotic Vision (ACRV) – Queensland University of Technology (QUT). He attained his PhD in 2018 at QUT in the field of agricultural robotics focusing on automated weed species recognition. His research interests are on ensuring that vision and machine learning systems developed for the real-world are adaptable enough to cope with the cluttered, varied, and changing world around them. His PhD focused on how weed species recognition can be rapidly deployed to fields without knowledge of the weed species in advance. He currently works with the ACRV on developing benchmarks for robotic vision, developing challenges and evaluation measures to encourage the computer vision and robotics research communities to develop probabilistic and adaptable recognition systems.