Scholar
Christoph Grunau
Google Scholar ID: kORDDGsAAAAJ
ETH Zurich
Theoretical Computer Science
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Citations & Impact
All-time
Citations
637
H-index
16
i10-index
21
Publications
20
Co-authors
3
list available
Contact
No contact links provided.
Publications
3 items
Acceleration for Distributed Transshipment and Parallel Maximum Flow
2025
Cited
0
Density-Dependent Graph Orientation and Coloring in Scalable MPC
ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing · 2025
Cited
0
Towards True Work-Efficiency in Parallel Derandomization: MIS, Maximal Matching, and Hitting Set
2025
Cited
0
Resume (English only)
Academic Achievements
Publications:
- Towards True Work-Efficiency in Parallel Derandomization: MIS, Maximal Matching, and Hitting Set (FOCS 2025)
- Density-Dependent Graph Orientation and Coloring in Scalable MPC (PODC 2025)
- Near-Optimal Deterministic Network Decomposition and Ruling Set, and Improved MIS (FOCS 2024) - Best Paper Award at FOCS'24
- Parallel, Distributed, and Quantum Exact Single-Source Shortest Paths with Negative Edge Weights (ESA 2024)
- Work-Efficient Parallel Derandomization II: Optimal Concentrations via Bootstrapping (STOC 2024)
- Dynamic O(arboricity) coloring in polylogarithmic worst-case time (STOC 2024)
- Fully Dynamic Consistent k-Center Clustering (SODA 2024)
- Conditionally Optimal Parallel Coloring of Forests (DISC 2023)
- Work-Efficient Parallel Derandomization I: Chernoff-like Concentrations via Pairwise Independence (FOCS 2023)
- Noisy k-means++ revisited (ESA 2023)
- Nearly Work-Efficient Parallel DFS in Undirected Graphs (SPAA 2023) - Best Paper Award at SPAA'23
- Deterministic Massively Parallel Symmetry Breaking for Sparse Graphs (SPAA 2023)
- Faster Deterministic Distributed MIS and Approximate Matching (STOC 2023)
Awards:
- EATCS Distinguished Dissertation Award 2025
- ACM-EATCS Principles of Distributed Computing Doctoral Dissertation Award 2025
Research Experience
Visiting Researcher at MIT from February 2023 to February 2024; currently a postdoctoral scholar at ETH Zurich in the research group of Rasmus Kyng.
Education
Ph.D.: December 2024, ETH Zurich, advised by Mohsen Ghaffari.
Background
Research Interests: Theoretical computer science, focusing on distributed algorithms, parallel algorithms, and clustering algorithms.
Miscellany
Contact: cgrunau at inf.ethz.ch
Co-authors
3 total
Václav Rozhoň
Charles University
Mohsen Ghaffari
Associate Professor, MIT
Bernhard Haeupler
INSAIT (University of Sofia, Bulgaria) & ETH Zurich
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