projects

Explore our latest research contributions in representation learning, deep learning, and artificial intelligence. Our work advances the theoretical foundations and practical applications of machine learning.

ML-EMPerform: ML surrogate modeling of electrical motor performance

Running Valeo 2025-2026

Dibyanshu Kumar

In partnership with with Valeo eAutomotive Germany GmbH, this project aims to develop deep learning (DL) methods for predicting the performance of EM bypassing the FEM-based simulation methods. The surrogate DL methods shall be significantly faster than the FEM-based simulations allowing for notable speed-ups in the EM design process.

PhysioINK - data analysis and active planning of an experimental study

Running Fraunhofer 2025-2027

Maximilian Münch

The overall goal of the project is the development of "quality" bio-ink that enables the printing of physiological tissues. The task of THWS is to support researchers and developers in the life science field by using modern methods of artificial intelligence and experimental design, employing a central database and data analysis system provided for the partners. Innovative solutions provided by THWS through data analysis should offer optimal, accelerated, and targeted methods, as well as variation possibilities for the development and production of the bio-ink.

KI Transfer

Closed 2023-2025

A. Balzer, M. Gregorova, L. Fichtel, M. Münch

The AI Regional Center Würzburg supports medium-sized businesses with artificial intelligence implementation, offering guidance on use cases, staff training, and long-term AI strategy development. Working with CAIRO, FIW, and the AI-Transfer Plus Program, it connects research with practical applications. The 9-month AI-Transfer Plus Program helps companies build internal expertise, implement customized AI solutions, and develop strategic capabilities, featuring upskilling and hands-on exploration phases.

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