Personal details

Name
Dr David Hall
Position(s)
Postdoctoral Research Fellow
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Centre of Excellence (COE) in Robotic Vision
Phone
+61 437 488 580
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

PhD (Queensland University of Technology), Bachelor of Engineering (Infomechatronics) (Queensland University of Technology)

Biography

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.

This information has been contributed by Dr David Hall.

Teaching

2019

ENB439 РGuest Lecture  23-05-2019

This information has been contributed by Dr David Hall.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.