Adjunct Associate Professor
Tomasz Bednarz

Profile image of Adjunct Associate Professor Tomasz Bednarz

Personal details

Keywords

Visual Analytics, Visualisation, Big Data Analytics, Computational Fluid Dynamics, Computational Sciences, Accelerated Computing, Computer Graphics and Interactive Techniques, Reality-Virtuality Continuum, Immersive Visualisation, Art + Science + Design + Engineering

Research field

Applied mathematics, Numerical and computational mathematics

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020

Qualifications

  • PhD (Kyushu University)
  • MSc in Technical Physics (AGH University of Science and Technology)
  • BSc in Technical Physics (AGH University of Science and Technology)

Professional memberships and associations



Honorary positions:

  • Adjunct Associate Professor, Design Lab, University of Sydney
  • Adjunct Associate Professor, School of Information Technology and Mathematical Sciences, University of South Australia
  • Associate Investigator (QUT and UNSW) and Partner Investigator (CSIRO), ACEMS

Teaching

- Computer Graphics for Digital Twins (at UNSW)

- Massive Open Online Courses (MOOCs):


- MAN717 Minor Project
- Invited lecture "Modern Platforms for Big Data Analytics, Graphics and Visualisation" (University of Wroclaw, Poland)
- Visualisation using OpenGL (workshop/course)
- Supervising Vacation Research Experience Scheme (VRES) projects
- Supervising PhD projects
- MXB361 Aspects of Computational Science
- Mathematics and Statistics of Big Data, AMSI Summer School 2017

Publications

QUT ePrints

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

View more publications

Filter publications:

2020

2019

2018

2017

2016

  • Filonik, D., Bednarz, T., Rittenbruch, M. & Foth, M. (2016). Glance: generalized geometric primitives and transformations for information visualization in AR/VR environments. Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry - Volume 1, 461–468. Association for Computing Machinery. https://eprints.qut.edu.au/101553
  • Bednarz, T., Kim, J., Brown, R., James, A., Burrage, K., Clifford, S., Davis, J., Mengersen, K., Peterson, E., Psaltis, S. & Vercelloni, J. (2016). Virtual reality for conservation. 177–178. https://eprints.qut.edu.au/98029
  • Lagerstrom, R., Arzhaeva, Y., Szul, P., Obst, O., Power, R., Robinson, B. & Bednarz, T. (2016). Image classification to support emergency situation awareness. Frontiers in Robotics and AI, Article 54, 3, 1–11. https://eprints.qut.edu.au/98961
  • Hosseini, M., Sowmya, A. & Bednarz, T. (2016). Interactive Chan-Vese approach with random walk for medical images segmentation. Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), Volume 2, 63–70. SCITEPRESS, Science and Technology Publications.
  • Gough, P., Bednarz, T., de Berigny, C. & Roberts, J. (2016). A process for non-expert user visualization design. Proceedings of the 28th Australian Conference on Computer-Human Interaction, 247–251. Association for Computing Machinery.

2015

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

Awards

Supervision