Baltasar Beferull-Lozano

Prof. Baltasar Beferull-Lozano is Professor, Chief Research Scientist/Research Professor and Head of the Signal and Information Processing for Intelligent Systems Department at Simula Metropolitan. His leadership role spans directing cutting-edge research at the intersection of data science, networked systems and artificial intelligence.

Research Interests: His group pursues a broad agenda that includes

• Data science and machine learning
• Online optimization and streaming algorithms
• Graph signal processing and higher-order networks
• Intelligent sensing, signal processing and inference
• Cyber-physical systems and IoT
• In-network distributed and cooperative intelligence
• AI-driven networks and communication systems

Across these themes, his work consistently develops mathematically rigorous yet computationally efficient frameworks that enable learning and inference on complex, dynamic networked data.

Publication Trends: Over 2021-2025 he has produced a prolific stream of journal and conference papers. Recurrent topics include topological signal processing, graph neural networks, transfer learning for wireless radio mapping, online kernel methods, simplicial and higher-order models, and non-linear topology identification. These works collectively advance both theoretical foundations and practical algorithms for next-generation networked AI systems.

Scientific Awards: No awards are listed in the provided text.

Advising & Grants: While no explicit grants or student lists are supplied, the volume and senior authorship of publications suggest Prof. Beferull-Lozano leads a sizeable research group comprising PhD candidates and post-doctoral researchers working on externally funded projects.

Labs & Teams: He heads the Signal and Information Processing for Intelligent Systems Department at Simula Metropolitan, a multidisciplinary unit focused on machine learning, signal processing and networked intelligence.