Associate Professor
Niko Suenderhauf

Profile image of Associate Professor Niko Suenderhauf

Faculty of Engineering,
School of Electrical Engineering & Robotics


Personal details

Positions

Associate Professor
Faculty of Engineering,
School of Electrical Engineering & Robotics

Keywords

robotics, robotic vision, computer vision, machine learning

Discipline

Artificial Intelligence and Image Processing, Electrical and Electronic Engineering

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

Qualifications

  • PhD (Chemnitz University Of Technology)

Teaching

Associate Professor Niko Suenderhauf is teaching into QUT's Mechatronics degree. He has been co-teaching and unit coordinating EGB339 (Introduction to Robotics) since 2017, and EGH419 (Mechatronics Design 3) since 2018. He has been co-teaching EGH444 (Digital Signals and Image Processing) since 2019. Niko shared his expertise with the international community by giving 3 lectures at the 2019 International Summer School on Deep Learning for Robot Vision in Santiago, Chile. He also thought at the 2019 Robotic Vision Summer School.

Experience

Selected publications

QUT ePrints

For more publications by Niko, explore their research in QUT ePrints (our digital repository).

View more publications

Awards

Research projects

Supervision

Current supervisions

  • Solving Manipulation Tasks With Implicit Neural Representations
    PhD, Principal Supervisor
    Other supervisors: Dr Feras Dayoub
  • Training on Semantic Graphs using Graph Neural Networks and Deep Reforcement Learning for Semantic Navigation and Interaction
    PhD, Principal Supervisor
    Other supervisors: Professor Michael Milford
  • Combining multiple simple sub-policies to solve complex robotic manipulation problems efficiently
    PhD, Associate Supervisor
    Other supervisors: Dr Chris Lehnert, Distinguished Professor Peter Corke
  • Control Strategies for Reactive Mobile Manipulation
    PhD, Associate Supervisor
    Other supervisors: Distinguished Professor Peter Corke, Dr Feras Dayoub
  • Utilizing Semantic Information to Improve Reinforcement Learning Outcomes
    PhD, Principal Supervisor
    Other supervisors: Professor Michael Milford
  • Scene Understanding via Semantically Modeling our Environment
    PhD, Principal Supervisor
    Other supervisors: Professor Michael Milford
  • Domain adaptation for segmentation of underwater environments
    PhD, Associate Supervisor
    Other supervisors: Dr Frederic Maire, Dr Ross Marchant
  • Incorporating Prior Knowledge in Deep Reinforcement Learning for Real World Robot Navigation
    PhD, Principal Supervisor
    Other supervisors: Professor Michael Milford
  • Uncertainty from Deep Ensembles for Computer Vision
    PhD, Associate Supervisor
    Other supervisors: Dr Feras Dayoub

Completed supervisions (Doctorate)