Christoph Löser tells his impressions at the sixth SLSIP Workshop in Finland
For the sixth time, around 50 researchers came together for the Statistical Learning for Signal and Image Processing (SLSIP) workshop, which this year took place in the idyllic coastal town of Hanko, Finland, from May 29 to 31 2025. Once again, the Robust Data Science Group (RDS) of the department of electrical engineering and information technology at TU Darmstadt participated, this time with six attendees. Thanks to the support of emergenCITY, I had the great opportunity to join as a newly appointed research associate, just three months into my position, and to gain my first international conference experience.
The workshop offered not only engaging talks from leading experts, but also the chance for direct, in-depth discussions and valuable exchanges on concrete research challenges. One of the highlights for me was the opportunity to present my current work on emergenCITY’s rescue robot Scout during a talk given by Fabian Scheidt (RDS).
Fabian opened his talk by introducing the complex-valued T-Rex selector, an extension of the T-Rex framework, and the first method to enable statistically error-controlled variable selection in high-dimensional complex-valued data. Following this, I presented how the T-Rex selector is practically applied within a novel localization algorithm that supports the rescue robot Scout in locating individuals in disaster scenarios.
Beyond the outstanding academic contributions, including presentations from researchers I had previously only known from textbooks, I was particularly impressed by the open and collegial atmosphere of the workshop. Even outside the lecture halls, we made the most of our time: during lunch breaks, we explored the surroundings of Hanko. One especially memorable excursion was a bike trip to the southernmost point of Finland, where we crossed narrow wooden planks and rugged terrain to reach our destination.
Looking back, the SLSIP workshop in Hanko was not only scientifically enriching, but also a formative experience early in my academic career. The exchange with international colleagues, the opportunity to present my own research in this setting, to discuss personal ideas and research questions, and to share the experience as a team with the RDS Group all left a lasting impression on me, thank you, emergenCITY!
Christoph Löser is a research associate at TU Darmstadt with the Robust Data Science Group (RDS) in the department of electrical engineering and information technology and the institute of Artificial Intelligent Systems in Medicine (KIS*MED). As part of his work, he is involved in the program area Cyber-Physical Systems (CPS) of emergenCITY.
More background on the T-Rex Selector is provided in this News article
Find the website of the Robust Data Science Group at TU Damstadt here
More background on this year’s SLSIP Workshop in ths News article
