Professor Niko Suenderhauf

Profile image of Professor Niko Suenderhauf

Faculty of Engineering,
School of Electrical Engineering & Robotics


Personal details

Positions

Professor
Faculty of Engineering,
School of Electrical Engineering & Robotics

Keywords

robotics, robotic vision, computer vision, machine learning

Research field

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

Professor Niko Suenderhauf is teaching into QUT's Master's of Robotics and AI, where he teaches and coordinates Robotic Vision (ENN583) and Advanced Machine Learning (ENN585).

He has been co-teaching and unit coordinating EGB339 (Introduction to Robotics) 2017-2022,  and EGH419 (Mechatronics Design 3) 2018-2022. He was co-teaching EGH444 (Digital Signals and Image Processing) 2019-2021. Niko shared his expertise with the international community by giving three lectures at the 2019 International Summer School on Deep Learning for Robot Vision in Santiago, Chile.

Niko is General Chair of the Robotic Vision Summer School.

Experience

Publications

QUT ePrints

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

View more publications

Filter publications:

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/niko.suenderhauf

Awards

Selected research projects

Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.

Supervision

Current supervisions

Completed supervisions (Doctorate)