tomasz bednarz

Associate Professor
Science and Engineering Faculty
- Applied & Computational Mathematics
ACEMS, IFE
Queensland University of Technology

Team Leader
Big Data Visualisation & Analytics
CSIRO Data61

Adjunct Associate Professor
Design Lab
University of Sydney

Adjunct Senior Lecturer
School of Information Technology and Mathematical Sciences
University of South Australia

Urban Informatics

Unified Jury | SIGGRAPH 2017
Courses Chair | SIGGRAPH Asia 2017

Khronos Chapters Chair

Artist-scientist

LinkedIn: tomaszpbednarz
ResearcherID: A-7376-2011
Twitter: @tomaszbednarz
Instagram: @tomaszbednarz

Teaching

Big Data: from Data to Decisions
Big Data: Data Visualisation
Aspects of Computational Science
Advanced Visualisation and Data Science
Mathematics of Big Data AMSI SS

JOIN

Khronos Brisbane Chapter
Brisbane ACM SIGGRAPH

Tweets by @tomaszbednarz

about     cv     bio    

Dr Tomasz Bednarz is a Team Leader at CSIRO's Data61 (Analytics Program). He is also an Associate Professor at the QUT (ARC Centre of Excellence for Mathematical and Statistical Frontiers, http://acems.org.au) and holds Adjunct positions at the University of Sydney (Design Lab) and University of South Australia (School of IT and Math Sciences). He has done his doctorate and masters in computational science area (Computational Fluid Dynamics, Magneto-hydro Dynamics, and Environmental Engineering), and is currently undertaking MBA-Executive study at the ACU. Over last couple of years at CSIRO he has been involved in wide range of projects in area of immersive visualisation, human-computer interaction, computational imaging and visualisation. He led cloud-based imaging project that received merit Queensland's iAward in 2015 (http://cloudimaging.net.au). He has been leading project Platform for Big Data Analytics and Visual Analytics, connecting data analytics, statistical modelling, image analytics, machine learning, visualisation into one stack of reusable solutions running on the CSIRO infrastructure. His broad range of expertise is evidenced by the quality and number of publications, http://www.researcherid.com/rid/A-7376-2011.