Wilfried Gansterer

Wilfried Gansterer is a Professor at the Faculty of Computer Science, University of Vienna, leading the Theory and Applications of Algorithms research group. His work focuses on numerical algorithms, distributed computing, and machine learning, with notable contributions to graph neural networks and fault-tolerant systems. Active in projects such as Algorithmic Data Science for Computational Drug Discovery (2020–2028) and REPEAL (Resilience vs. Performance in Numerical Linear Algebra, 2016–2020).

Research Interests: Dr. Gansterer’s expertise spans graph neural networks, matrix compression, adversarial defense mechanisms, and high-performance computing. His work addresses challenges in efficient computation, resilience against node failures, and optimizing distributed systems.

• Projects:
  • Algorithmic Data Science for Computational Drug Discovery (2020–2028)
  • REPEAL: Resilience vs. Performance in Numerical Linear Algebra (2016–2020)
  • Verteiltes Rechnen (Distributed Computing, 2007–2014)

Awards: 2023 Best Paper Award for work on Crossfire: An Elastic Defense Framework for Graph Neural Networks.

Labs/Teams: Directs the Theory and Applications of Algorithms group, focusing on algorithmic innovation in distributed and high-performance computing environments.