Karim Cherifi

Karim Cherifi is a Researcher at the Institute of Mathematics, Technical University of Berlin, within the College of Mathematics and Natural Sciences. His academic journey includes a PhD in Control Theory (2015–2019) and postdoctoral work at the Max Planck Institute Magdeburg (2019–2020). Since 2021, he contributes to the ProFIT project "Electric Drives 2.0" at the Werner von Siemens Centre (WvSC).

• 2010–2013: Bachelor in Electrical and Electronic Engineering
• 2013–2015: Master in Control Engineering
• 2015–2019: PhD in Control Theory

His research focuses on Control Theory, Numerical Analysis, and Port-Hamiltonian Systems, with applications in Linear Systems, Data-driven Modeling, and Model Reduction. Key trends include geometric formulations for discrete-time systems, dissipativity analysis, and integration of energy-based models with machine learning.

Notable scientific recognition includes the DAAD Scholarship (2018). His work spans publications on topics like structure-preserving interconnections, digital twin simulations, and data-driven realization techniques.

Affiliated with the Institute of Mathematics at TU Berlin, he is based in Room MA 469 and collaborates within the Numerical Analysis research group.