The 6th International Workshop on Statistical Learning for Signal and Image Processing (SLSIP) was held from May 28 to May 31, 2025, in Hanko, Finland. It promoted interdisciplinary exchange and the advancement of robust, data-driven technologies. emergenCITY has supported this initiative since the third edition of the workshop in 2021 to contribute to the development of next-generation resilient systems.

Photo of scientists outdoors at the finish coast.
© SLSIP

Participants of the SLSIP-Workshop in Hanko in Finland at the coast.

The SLSIP workshop focused on a range of cutting-edge topics including statistical learning for robust signal processing and control, biomedical signal and image processing, statistical modelling of sparse, complex, and multi-sensor data, graph theory for signal processing in dynamic and large-scale networks, and distributed optimization for smart systems. Applications span fields such as biomedicine, electric systems, and array signal processing.

Approximately 50 PhD students, postdocs, and other early-stage researchers participated, offering a platform for intensive collaboration and networking. The program featured a mix of 1-hour lectures, short talks, and dedicated discussion sessions to foster new research connections and ideas.

Keynote on Graph Neural Networks
Elvin Isufi is holding a keynote.
© emergenCITY

Elvin Isufi, Associate Professor of graph machine learning at The Delft University of Technology (TU Delft), talked in his keynote about “Graph Neural Networks for Distributed Data and Dynamical Processes.”

emergenCITY sponsored the keynote address by Elvin Isufi, a professor at TU Delft, titled “Graph Neural Networks for Distributed Data and Dynamical Processes.” In his talk, Isufi explored how graph neural networks can serve as powerful tools for learning from decentralized and time-evolving data—a crucial aspect for building resilient and intelligent systems, a core goal of emergenCITY.

The workshop was co-chaired by Michael Muma, Principal Investigator at the LOEWE Center emergenCITY and head of the Robust Data Science Group at TU Darmstadt. The work of the organizing committee helped shape a dynamic and high-quality program that highlighted both theoretical advances and real-world applications.

Author: Michael Muma

For more information, please visit the SLSIP-Workshop-Website