Salvo Rossi

Salvo Rossi is a Full Professor of Statistical Machine Learning for Signal Processing at the Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He holds leadership roles as Deputy Director for Research and Deputy Manager of the Centre for Green Shift in the Built Environment. Additionally, he serves as a part-time Senior Research Scientist at SINTEF Energy Research. His work bridges academia and industry, with significant contributions to signal processing, machine learning, and IoT systems.

Research Interests:

• Statistical Machine Learning
• Data Fusion in Wireless Sensor Networks
• Digital Twins and Industrial IoT
• Anomaly Detection and Fault Diagnosis
• Federated and Distributed Learning
• Graph Signal Processing

His recent publications reflect a strong trend toward intelligent, distributed systems for industrial monitoring, particularly in energy and safety-critical environments. The integration of machine learning with signal processing for decision fusion in sensor networks is a central theme.

Scientific Awards and Recognition:

• Exemplary Senior Editor, IEEE Communications Letters (2018)
• Department Ambassador, NTNU (2016)
• IEEE Senior Member (since 2011)

Editorial and Professional Service:

• Senior Area Editor, IEEE Transactions on Signal and Information Processing over Networks (since 2025)
• Topical Editor, IEEE Sensors Journal (since 2022)
• Area Editor, IEEE Open Journal of the Communications Society (2019–2023)
• Executive Editor, IEEE Communications Letters (2019–2021)
• General Chair, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Trondheim, 2022

He has advised numerous PhD and master’s students (not explicitly listed), led major research projects in IoT and green energy, and contributed to national and international research initiatives. His lab, SPIN (Signal Processing Group), focuses on intelligent signal processing for real-world applications in smart environments and Industry 4.0.