3 citations · 9 across the 10 of their papers we have counts for
10 papers
Describing Agentic AI Systems with C4: Lessons from Industry Projects
Andreas Rausch, Stefan Wittek
Different domains foster different architectural styles -- and thus different documentation practices (e.g., state-based models for behavioral control vs. ER-style models for infor…
From Education to Evidence: A Collaborative Practice Research Platform for AI-Integrated Agile Development
Tobias Geger, Andreas Rausch, Ina Schiering +2
Agile software development evolves so rapidly that research struggles to remain timely and transferable - an issue heightened by the swift adoption of generative AI and agentic too…
Preparing Students for AI-Driven Agile Development: A Project-Based AI Engineering Curriculum
Andreas Rausch, Stefan Wittek, Tobias Geger +1
Generative AI and agentic tools are reshaping agile software development, yet many engineering curricula still teach agile methods and AI competencies separately and largely lectur…
A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
Dhananjeyan Jeyaraj, Hamidreza Eivazi, Jendrik-Alexander Tröger +3
The behavior of materials is influenced by a wide range of phenomena occurring across various time and length scales. To better understand the impact of microstructure on macroscop…
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan Wittek +2
Multiscale problems are ubiquitous in physics. Numerical simulations of such problems by solving partial differential equations (PDEs) at high resolution are computationally too ex…
A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
Sakshi Dhankhar, Stefan Wittek, Hamidreza Eivazi +1
Study Region: Goslar and Göttingen, Lower Saxony, Germany. Study Focus: In July 2017, the cities of Goslar and Göttingen experienced severe flood events characterized by short warn…
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
Hamidreza Eivazi, André Hebenbrock, Raphael Ginster +6
Battery degradation remains a critical challenge in the pursuit of green technologies and sustainable energy solutions. Despite significant research efforts, predicting battery cap…
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger +3
Multiscale problems are widely observed across diverse domains in physics and engineering. Translating these problems into numerical simulations and solving them using numerical sc…
Nonlinear model reduction for operator learning
Hamidreza Eivazi, Stefan Wittek, Andreas Rausch
Operator learning provides methods to approximate mappings between infinite-dimensional function spaces. Deep operator networks (DeepONets) are a notable architecture in this field…
Assessment of the suitability of degradation models for the planning of CCTV inspections of sewer pipes
Fidae El Morer, Stefan Wittek, Andreas Rausch
The degradation of sewer pipes poses significant economical, environmental and health concerns. The maintenance of such assets requires structured plans to perform inspections, whi…