The research group Systems, Data, Simulation & Energy (SYDSEN) is dedicated to advancing the field of Modeling and Simulation by developing new methods to utilize the abundant data from readily accessible Internet of Things (IoT) devices. Additionally, the research group investigates the synergies between Artificial Intelligence and Simulation to enhance both fields. A significant focus of our research is developing foundational methods for creating and utilizing Digital Twins—virtual representations of physical systems. These Digital Twins facilitate near-real-time monitoring and enable performance enhancement and optimization.
Our application areas focus on cyber-physical systems, including smart factories and energy systems, with the aim of improving various performance metrics such as energy efficiency, production, and reliability. By employing Digital Twins, we strive to optimize the use of these systems and fully harness the benefits of IoT technology.
We take pride in being a research group that is at the forefront of this field and are always open to opportunities to collaborate with other researchers and interested parties. If you have any further questions or are interested in collaborating, please do not hesitate to contact us.
Company Details
- Founded
- -
- Address
- Kaiserstr. 89, Karlsruhe,76133,germany
- Industry
- Research Services
- NAICS
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Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- HQ
- Karlsruhe
- Competitors
- IPRI - International Performance Research Institute, Verein Angewandte Informatik Karlsruhe e.V. (AIK), IFL - Institut für Fördertechnik und Logistiksysteme, KIT, Institute for Applied Materials – Electrochemical Technologies (IAM-ET), KIT, Institut für Hochfrequenztechnik und Elektronik, Karlsruher Institut für Technologie, IAM-WK: Institute for Applied Materials, KIT, KIT-Fakultät für Wirtschaftswissenschaften, SECUSO Research Group, Helmholtz Information & Data Science Academy, Institutsteil Mobile Arbeitsmaschinen (Mobima).
Sydsen - Systems, Data, Simulation & Energy Research Group @ Kit Questions
Sydsen - Systems, Data, Simulation & Energy Research Group @ Kit's website is https://sydsen.aifb.kit.edu/index.php
Sydsen - Systems, Data, Simulation & Energy Research Group @ Kit's LinkedIn profile is https://de.linkedin.com/company/sydsen-kit
Sydsen - Systems, Data, Simulation & Energy Research Group @ Kit's industry is
Research Services
Sydsen - Systems, Data, Simulation & Energy Research Group @ Kit's top competitors are
Ipri - International Performance Research Institute,
Verein Angewandte Informatik Karlsruhe E.v. (Aik),
Ifl - Institut Für Fördertechnik Und Logistiksysteme, Kit,
Institute For Applied Materials – Electrochemical Technologies (Iam-Et), Kit,
Institut Für Hochfrequenztechnik Und Elektronik, Karlsruher Institut Für Technologie,
Iam-Wk: Institute For Applied Materials, Kit,
Kit-Fakultät Für Wirtschaftswissenschaften,
Secuso Research Group,
Helmholtz Information & Data Science Academy,
Institutsteil Mobile Arbeitsmaschinen (Mobima).
Sydsen - Systems, Data, Simulation & Energy Research Group @ Kit's categories are Research Services
Sydsen - Systems, Data, Simulation & Energy Research Group @ Kit's founding year is 2022
