Slobodan Lukovic

Slobodan Lukovic is a Senior Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the ALaRI group and the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). He holds a PhD in Computer Architectures from USI and a master’s in Embedded Systems Design, alongside a bachelor’s degree from the University of Belgrade’s Faculty of Electrical Engineering.

His research focuses on applying advanced AI techniques to IoT challenges, particularly in sustainability and Smart Grids. Key areas include energy storage optimization, grid load forecasting using deep learning, and blockchain integration in smart city infrastructure. He leads projects such as SONDER, GraPV, and SWAIN, emphasizing proactive maintenance, grid resilience, and virtual power systems.

Lukovic’s work spans cyber-physical systems, data-driven methods, and machine learning applications. Notable contributions include frameworks for smart grid disturbance analysis, fault injection testing, and multi-agent systems for prosumer integration. His expertise in NoC-based MPSoC security and model-driven design further underscores his interdisciplinary approach.

He has advised multiple projects and contributes to labs/teams at USI, focusing on bridging ICT and energy systems for sustainable urban development.