Systems, Data, Simulation & Energy/en
The research group Systems, Data, Simulation & Energy (SYDSEN, pronounced "side-sin") 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.
The 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. Our research contributes to optimizing the use of these systems and harnessing 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.
Keywords: Modeling and Simulation • Data-driven Simulation • Data Analytics • Digital Twins • Energy Efficiency • Reliability Modeling and Analysis
You can find the publications of our team at here.
|Student Assistants(HiWi)||Student Assistants (HiWi)(f/m/d) in the Research Group Systems, Data, Simulation & Energy (SYDSEN)|
|Open Ph.D. and PostDoc positions||Open PhD and PostDoc positions as SYDSEN|
|Courses in Winter Semester||Courses in Summer Semester|
|Informatik II||Modeling and Simulation|
- Prof. Dr. Sanja Lazarova-Molnar (Prof.)
- Atieh Khodadadi (Ph.D. Student)
- Manuel Götz (Ph.D. Student)
- Elisabeth Lieder (Secretary)