Clara Stegehuis

Clara Stegehuis serves as Associate Professor in Mathematics of Operations Research, specializing in the mathematical foundations of complex networks. Her research establishes critical connections between theoretical graph models and real-world applications in wireless communications and chemical reaction systems, with 68 research outputs including 34 articles and 16 preprints.

Her primary research domains include:

• Random Graph Theory and Scale-Free Networks
• Hypergraph Modeling and Sampling Algorithms
• Geometric Network Analysis
• Stochastic Processes on Networks
• Combinatorial Optimization for Network Structures
• Network Applications in Wireless Systems

Recent publications (2023-2025) demonstrate methodological innovation in hypergraph sampling (Hypercurveball algorithm) and geometric network detection, while addressing practical challenges in mmWave networks, cellular resilience, and reaction network analysis. Her work consistently bridges abstract mathematical frameworks with engineering applications through rigorous probabilistic modeling.

Dr. Stegehuis has supervised two graduate students and contributed two significant datasets to the research community. Though no specific awards are documented in the provided materials, her h-index of 9 and consistent publication output (10 papers in 2025) reflect substantial scholarly impact.

Current research initiatives focus on multi-connectivity optimization for wireless networks, geometric structure detection in scale-free graphs, and applying random graph theory to model out-of-equilibrium chemical systems, often through interdisciplinary collaboration with domain experts.