Hans-Arno Jacobsen

Hans-Arno Jacobsen is a Professor at the Faculty of Computer Science (Technische Universität München, TU Munich) and affiliated with the Department of Electrical and Computer Engineering at the University of Toronto. His work spans Computer Science, Distributed Systems, and Artificial Intelligence.

• Research interests include Blockchain Technology, Consensus Algorithms, Graph Neural Networks, and Quantum Computing.
• Recent projects focus on decentralized consensus, energy-efficient databases, and federated learning in edge environments.

His 15 most recent articles (2024–2025) explore topics such as dynamic resource orchestration, CRDT-based blockchains, and multimodal depression recognition.

• Collaborates with researchers like Ruben Mayer, Gengrui Zhang, and Shiqiang Wang on systems for federated computing, blockchain benchmarking, and distributed GNN training.