Markus Steinberger

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing.

Education

• 11/2020: Habilitation in Practical Computer Science at TU Graz
• 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors)
• 10/2010: MSc in Telematics
• 10/2005: BSc in Telematics

Research Interests

Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings.

Awards

• Heinz Zemanek Prize (2016) – First Austrian recipient
• GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science
• Multiple Eurographics Best Paper Awards (2021, 2020, 2014)
• HPEC Best Student Paper (2017)
• ACM CHI Honorable Mention (2014)

Advising & Grants

Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing.

Labs & Teams

Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.