Interconnected Systems Engineering

With smart models, we connect people, methods, and technologies to shape the future systematically.

  • Transdisciplinary teams access an intelligent knowledge network – the right information, at the right time, from the right people.
  •  Dynamic zooming from the big picture into the details – flexibly adaptable to stakeholders and challenges.
  • Adaptive methods are selected for specific purposes and tailored to the given situation, with the needs of all people at the center.

Our motivation

With smart models, we connect people, methods, and technologies to shape the future systematically.

  • Transdisciplinary teams access an intelligent knowledge network – the right information, at the right time, from the right people.
  • Dynamic zooming from the big picture into the details – flexibly adaptable to stakeholders and challenges.
  • Adaptive methods are selected for specific purposes and tailored to the given situation, with the needs of all people at the center.

What we do

In the Interconnected Systems Engineering Circle, we research and develop approaches for interdisciplinary and transdisciplinary product development in the context of Systems Engineering. Our focus is on applying and further developing methodological product development, requirements engineering, and Model-Based Systems Engineering (MBSE). The goal is to provide adaptive and context-appropriate methods that enable teams to systematically design complex systems – across disciplinary boundaries, with clear requirements, and based on intelligent models.
 In this way, we create interconnected development processes that effectively connect research and development.

Current research topics and projects

In the project “Smart Views, we develop model-based, adaptively tailored representations of complex system information.  The aim is to support stakeholders in a targeted way through intelligent visualizations – depending on their role, needs, and context.  The views are based on principles of Model-Based Systems Engineering (MBSE) and enable improved collaboration in interdisciplinary and transdisciplinary product development teams.

Together with TRUMPF, we are working on the development of an AI-supported approach to requirements engineering that intelligently links natural language, methods, and models of requirements engineering.  The aim is to provide AI-based solutions for the analysis, development, and integration of requirements – for more efficient and robust decision-making in the early stages of product development.

In another transfer project with TRUMPF, we are researching a model-based view of the CAM process that serves as a connecting element between design and machine programming.  By combining physics-based simulation with the integration of AI models, an adaptive tool is created that supports context-appropriate decisions in production planning – addressing the gap between development intent and executable production.

Das sind wir

Juliane Landwehr

Juliane Landwehr, M. Eng.

ISEM - Institute for Smart Engineering and Machine Elements

Research Associate

E-Mail:  juliane.landwehr(at)tuhh.de

 

Felix Förster

Felix Förster, M. Sc.

ISEM - Institute for Smart Engineering and Machine Elements

Circle LeadInterconnted Systems Engineering and Research Associate

E-Mail:  felix.foerster(at)tuhh.de

 

 

Philipp Weitnauer

Philipp Weitnauer

ISEM -Institute for Smart Engineering and Machine Elements

Student assistant

E-Mail: philipp.weitnauer(at)isem-tuhh.de

 

Franca Straub

Franca Straub

ISEM - Institute for Smart Engineering and Machine Elements

Student assistant

E-Mail: franca.straub(at)tuhh.de

Simon Jess

Simon Jess, M. Sc.

ISEM - Institute for Smart Engineering and Machine Elements

Research assistant

E-Mail:  simon.jess(at)tuhh.de

 

 

Joana Stein

Joana Stein, B. Sc.

ISEM - Institute for Smart Engineering and Machine Elements

Student assistant

E-Mail: joana.stein(at)tuhh.de

Zamreen Ramzeen

Zamreen Ramzeen

ISEM - Institute for Smart Engineering and Machine Elements

Student assistant

E-Mail: mohamed.mohamed.ramzeen(at)tuhh.de

 

Pascal Kull

Pascal Kull, M. Sc.

ISEM - Institute for Smart Engineering and Machine Elements

Circle Lead Rapid Generations and Research Associate

E-Mail: pascal.kull(at)tuhh.de

Contact the Circle

Interested in collaboration or joining the team? Whether you are a company or research institution seeking cooperation, or a motivated student or future research associate wanting to become part of our Circle – we look forward to hearing from you!

For questions or expressions of interest, please contact our Circle Lead, Felix Förster.

Kontakt