M.Sc. Siavash Razmi

Siavash Razmi is a PhD student in the Department of Computer Science at the University of Innsbruck and a member of the Distributed and Parallel Systems (DPS) group, specializing in intelligent methods for distributed software anomaly detection in edge–cloud computing environments. His work integrates machine learning approaches such as time-series analysis, natural language processing, and federated learning to address challenges in large-scale, heterogeneous systems. He has prior research experience in time-series forecasting, and his broader interests span graph neural networks, predictive analytics, and intelligent system monitoring.