Daniel MacSwayne

Daniel MacSwayne

School of Computer Science
Research Student

Contact details

Address
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT

Daniel MacSwayne is a PhD student in the School of Computer Science at the University of Birmingham. His primary research involves self-supervised learning techniques applied to multimodal sensory data in order to understand and predict the 3D physical world.

Qualifications

  • Current PhD Student (2023-2027)
  • MEng Aeronautics and Astronautics (2018-2022)

Doctoral research

PhD title
Self supervised learning for multimodal sensory data
Supervisors
Dr Jianbo Jiao and Professor Ales Leonardis

Research

  • Computer Vision
  • Self Supervised Representation Learning
  • 3D Physical Understanding