معرفی
Henning Meyerhenke is a Professor at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. He serves as Deputy Director of Teaching and Studies, focusing on graph algorithms, network analysis, and scientific workflow scheduling. His research spans complex systems modeling and parallel computing.
- Ranks: Professor
- Institution: Humboldt University of Berlin
Research Interests include energy-efficient computing, heterogeneous systems, and scalable graph algorithms. Recent work explores network sparsification, workflow mapping, and graph robustness under edge deletions. His group also investigates climate science applications via climate networks.
Publication Trends reflect advancements in parallel algorithms, distributed systems, and adaptive scheduling for scientific workflows. Key subfields include memory-aware computing, harmonic centrality, and edge sampling techniques.
Student Advising:
- Michael Piechotta (PhD candidate, defended September 15, 2025)
