Elahe Ghalebi

Elahe Ghalebi is a researcher affiliated with TU Wien's Cyber-Physical Systems Research Area (E191-01). She holds a PhD from TU Wien, awarded in 2020 for her thesis on time-evolving sparse networks. Her work focuses on advanced statistical techniques and machine learning applied to network dynamics, temporal graphs, and distributed systems. She collaborates internationally with experts like Prof. Radu Grosu and Jure Leskovec.

Research interests include modeling sparse networks, Bayesian nonparametric methods, compressive sensing for network analysis, and dynamic network reconstruction from partial data. Her contributions bridge theoretical network science with practical applications in cyber-physical systems and social networks.

Publications span 2018–2020, emphasizing temporal multigraph analysis, edge clustering, and wafermap pattern recognition via variational autoencoders. Her work often combines computational modeling with signal processing techniques to address challenges in distributed systems and network topology inference.

Affiliated with TU Wien's Network Lab, her research aims to develop scalable algorithms for analyzing evolving networks under resource constraints. No notable awards are listed, though her active collaboration network suggests strong academic engagement.