CytoTransport
In-silico modeling of cellular transport mechanisms — bridging biomedicine, computational modeling, and structural biology.
In-silico modeling of cellular transport mechanisms — bridging biomedicine, computational modeling, and structural biology.
An open-source AI assistant for climate-adapted urban planning — surrogate-assisted quality diversity optimization generates thousands of diverse design families, evaluated for cold airflow impact without costly CFD simulation.
Interdisciplinary initiative combining computational chemistry, machine learning, and immersive VR visualisation to decode biochemical systems.
A grassroots initiative in Bonn-Dransdorf creating climate-resilient space for affordable housing, agroforestry, and environmental education.
Research lab combining urban digital twins with industrial multi-physics simulation, powered by AI and machine learning.
Systematic research into the mismatch between AI/ML methods and elite sports practice, bridging Big Data methods with small-data sports science.
Metamodel-assisted exploration and optimisation of aerodynamic shapes — developing surrogate-illumination methods that won two best paper awards.
Evolving 3D aerodynamic velomobile bodies using neural indirect encodings and real-world drag analysis via computer vision.
Evolutionary optimisation of electric vehicle charging station placement for the Bonn / Rhein-Sieg region.
Energy-optimal driving strategies and human-machine hybridisation for electrically assisted velomobiles.
A generative art project trained on 1000 paintings by artist Steffen Terk — producing infinite visual variations in the painter’s style.