Modeling, Simulation & Data Analytics (Expertise)

The SYDSEN group at KIT conducts cutting-edge research on data-driven modeling and simulation of complex systems, with Digital Twins as a unifying paradigm. The group focuses on enabling reliable, explainable, and modular Digital Twins that support analysis, prediction, and decision-making across the system lifecycle.

Core expertise includes:

• Comprehensive Digital Twins for manufacturing, energy, and infrastructure systems

• Data-driven and hybrid simulation (agent-based, discrete-event, stochastic models)

• Process mining and model extraction from event data and IoT streams

• Reliability-oriented Digital Twins and resilience analysis

• Human-in-the-Loop and expert-integrated modeling

• Validation, verification, and KPI-based assessment of Digital Twins

• Explainability, trust, and governance of data-driven models

SYDSEN has strong experience in EU project execution, doctoral training, and industry collaboration, and contributes methodological advances that bridge academic research and real-world deployment. The group actively supports interdisciplinary consortia in Horizon Europe calls related to Digital Twins, AI-enabled engineering, Industry 5.0, sustainability, and resilience.