Name:Atakan Aral

Bio:

Atakan Aral is a tenure-track Assistant Professor of Information Systems Engineering at the Faculty of Computer Science, University of Vienna. His research focuses on sustainable resource management across the edge–cloud continuum, with a particular emphasis on edge AI and sensor networks. He develops learning-enabled systems that place intelligence close to data sources, advancing hierarchical and personalized federated learning, as well as practical model-partitioning techniques that decompose monolithic neural networks into latency- and energy-aware pipelines spanning devices, edge nodes, and the cloud.

Currently, he leads efforts to deploy robust, learning-enabled monitoring systems in large-scale rural and remote settings with scarce power and intermittent connectivity, such as critical infrastructure and environmental monitoring. He conducts interdisciplinary research through international collaborations in EU-funded projects such as SWAIN and TROCI. He received a dual MSc degree in Computer Science and Engineering from Politecnico di Milano (2011) and Istanbul Technical University (2012), and a PhD in Computer Engineering from Istanbul Technical University (2016).

Country:Austria

Affiliation:University of Vienna

Research interests:Edge Computing, IoT, Edge AI