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Bewilligte Projekte

Im Rahmen der Ausschreibung CZS Forschungsstart im Sommersemester 2025 wurden folgende neun Projekte von neuberufenen HAW-Professorinnen und -Professoren bewilligt.

Automated Parameter Sensitivity Analysis for Additive Manufacturing (APSAM) Talents - Individual funding programmes – CZS research boost

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Prof. Steffen Beese, Professor of Engineering Mechanics/FEM at the EAH Jena, researches the optimization of additively manufactured components using sensitivity analyses and AI models. In doing so, he determines the material parameters and improves performance.

Basics of laser fusion Talents - Individual funding programmes – CZS research boost

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Prof. Florian Wasser, Professor of Physics, Engineering Fundamentals and Sensor Technology in Electrical Engineering at the TH Bingen, is researching the physical foundations for the development of fusion power plants for sustainable and CO2-free energy generation.

Gene Prediction by Leveraging Unaligned Locus Homology Information (GLUH) Talents - Individual funding programmes – CZS research boost

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Prof. Denise Welsch, Professor of Bioinformatics at Koblenz University of Applied Sciences, is researching automatic gene prediction. Using a new AI model, gene structures can be predicted from DNA sequences of related species without time-consuming comparisons.

Goal-oriented requirements engineering for collaborative system networks (ZoREkS) Talents - Individual funding programmes – CZS research boost

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Prof. Jennifer Brings, Professor of Software and Web Engineering at Bingen University of Applied Sciences, is developing a goal-oriented requirements engineering approach. The aim is to enable the documentation and automated analysis of goals for collaborative system networks.

Hearing diagnosis through resonance tracking of the middle ear (HöRTMit) Life Science Technologies, Talents - Individual funding programmes – CZS research boost

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Prof. Simon Peter, Professor of Technical Mechanics at Reutlingen University, is developing a new measurement method for hearing diagnosis. The middle ear is specifically measured and the most relevant vibration variables are recorded with increased efficiency, accuracy and improved interpretability.

LLM-assisted Cybersecurity Defense Framework (LLcydef) Artificial Intelligence, Talents - Individual funding programmes – CZS research boost

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Prof. Mürsel Yildiz, Professor of IT Security in Digitalization at Nordhausen University of Applied Sciences, is researching AI-supported cyber security. He is developing an LLM-supported model that detects and responds to security threats at an early stage.

Objective accommodation measurement on the human eye (OAK) Life Science Technologies, Talents - Individual funding programmes – CZS research boost

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Prof. Philipp Heßler, Professor of Optometry and Visual Aids Technology at the EAH Jena, is investigating ways of objectively measuring accommodation parameters, the ability of the human eye to see objects sharply at different distances.

Ontology-driven Large Language Model for Surgery (OntoSPM-LLM) Talents - Individual funding programmes – CZS research boost

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Prof. Darko Katic, Professor of Robotics and Artificial Intelligence at HfT Stuttgart, is developing an AI-supported assistance system for surgery. The system uses large language models and retrieval augmented generation and uses medical ontologies to make surgical procedures understandable.

Physics Informed Perception for Autonomous Driving (PIPER-AD) Artificial Intelligence, Talents - Individual funding programmes – CZS research boost

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Prof. Antje Muntzinger, Professor of Computer Vision at HfT Stuttgart, is investigating the development of a multimodal AI system for the robust detection and tracking of vehicles on highways. She combines AI with prior physical knowledge to compensate for sensor errors.