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Dr Anders Eriksson

Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems

Personal

Name
Dr Anders Eriksson
Position(s)
Research Fellow
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems
IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Science and Engineering Projects,
IHBI Chem Physics Mech Engineering - IPTM
Discipline *
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
Phone
+61 7 3138 5187
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD
Qualifications

PhD in Mathematics (Lund University)

Professional memberships
and associations

-

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

I am an ARC DECRA fellow at the School of Electrical Engineering and Computer Science at Queensland University of Technology and a member of the Robotics and Autonomous Systems discipline and the Australian Centre for Robotic Vision. My research area include optimization theory and numerical methods applied to the fields of Computer Vision and Machine Learning.

See my home page for more information: http://roboticvision.org/~anders/

 

This information has been contributed by Dr Anders Eriksson.