Poster session and discussions
A special feature of the AI Winter School program was the poster session, in which almost 50 doctoral students presented and discussed their research projects in depth. Among the participants were three young scientists from the Institute for Industrial Information Technology (inIT) of the TH OWL: Jörn Tebbe, Julian Knaup and Baris Gün Sürmeli, who each presented their innovative projects.
Diverse research topics around AI
Jörn Tebbe presented his research project „SAFE ACTIVE LEARNING, OPTIMIZATION AND CONTROL VIA GAUSSIAN PROCESSES“, which focuses on improving algorithms using Gaussian processes to model the safety of dynamic systems.
Julian Knaup's work „ROBUST TRAINING BASED ON SEMANTIC ADVERSARIALS” aims to improve the robustness of ML models against semantic adversaries, especially in safety-critical domains.
Baris Gün Sürmeli presented his project "DETECTION OF MISLABELED BLOOD SAMPLES IN CLINICAL SETTINGS USING MACHINE LEARNING". The project focuses on the accurate identification of mislabeled blood samples in clinical settings to increase the safety and quality of healthcare for patients.
Exciting input and excellent organization
The AI Winter School not only brought a lot of professional exchange, but also offered participants the opportunity to network, make contacts and delve deeper into various research topics.
The event was organized by SAIL in collaboration with MSCA Docoral Networks, KnowGraphs and LEMUR.
About SAIL
The SAIL project is an interdisciplinary and inter-institutional collaboration between Bielefeld University, Paderborn University, Bielefeld University of Applied Sciences and the Technische Hochschule Ostwestfalen-Lippe, funded by the Ministry of Culture and Science of the State of North Rhine-Westphalia.
More about SAIL: https://www.sail.nrw