- Benchmarks for active learning in systems and control; project P6 in the Research Unit ALeSCo (FOR 5785), funded by Deutsche Forschungsgemeinschaft (DFG). Joint project with Prof. Dr.-Ing. Sandra Hirche, duration 2025-2029. PI: Prof. Dr.-Ing. Timm Faulwasser
- Neural ODE training via stochastic control and uncertainty quantification; project P2 in the Research Unit ALeSCo (FOR 5785), funded by Deutsche Forschungsgemeinschaft (DFG), duration 2025-2029. PI: Prof. Dr.-Ing. Timm Faulwasser
- Adaptive and learning-based control architectures for SMART reactors; project C05 in Collaborative Research Center SMART Reactors for Future Process Engineering (SFB 1615), funded by Deutsche Forschungsgemeinschaft (DFG), duration 2025-2027. PI: Prof. Dr.-Ing. Timm Faulwasser
- Stochastic Optimal Control and MPC - Dissipativity, Risk, and Performance; joint project with Prof. Lars Grüne and Dr. Michael Baumann, Universität Bayreuth, funded by Deutsche Forschungsgemeinschaft (DFG), duration 2022-2025. PI: Prof. Dr.-Ing. Timm Faulwasser
- Exploiting nonlinear port-Hamiltonian structures for optimization-based and data-driven control; joint project with Prof. Karl Worthmann, TU Ilmenau and Prof. Manuel Schaller, TU Chemnitz, funded by Deutsche Forschungsgemeinschaft (DFG), duration 2023-2026. Details on our research can be found here. PI @ TUHH: Prof. Dr.-Ing. Timm Faulwasser
Rethinking Cooperation in Distributed MPC: The Anticipation, the Reduction, and the Scaling of Consensus Constraints funded by Deutsche Forschungsgemeinschaft (DFG), duration 2023-2026 PI: Prof. Dr.-Ing. Timm Faulwasser
Statistical methods for energy systems: aggregation and decomposition, project B02 in the Collaborative Research Center/Transregio Spatio-temporal Statistics for the Transition of Energy and Transport (TRR391), funded by Deutsche Forschungsgemeinschaft (DFG). Joint project with Prof. Dr. Roland Fried, TU Dortmund University, duration 2024-2028. PI @ TUHH: Prof. Dr.-Ing. Timm Faulwasser
Machine Learning toward Autonomous Accelerators, cooperation with KIT, funded by the Initiative and Networking Fund by the Helmholtz Association (Autonomous Accelerator, ZT-I-PF-5-6), duration 2020-2022, PI @ TUHH: Prof. Dr.-Ing. Annika Eichler
HIR^3X (Helmholtz International Laboratory on Reliability, Repetition, Results at the most Advanced X-Ray Sources), in coorperation with SLAC IVF project InternLabs-0011 (HIR3X) by the Helmholtz Association, duration 2020-2025, PI @ TUHH: Prof. Dr.-Ing. Annika Eichler
ELLIPSE, in cooperation with Forschungszentrum Jülich, HZB, HZDR, KIT, (BMBF), duration 2025-2027, PI @ TUHH: Prof. Dr.-Ing. Annika Eichler
AI4AA funded by the Hamburg Open Online University HOOU, (2024 and extension in 2025), PI @ TUHH: Prof. Dr.-Ing. Annika Eichler
- Cooperative and Topology Control for Tightly Coupled Large-Scale Wireless Networked Autonomous Agents, Joint DFG / NSF Research Grant, cooperation with University of Georgia, University of Central Florida, University of Koblenz-Landau, duration 2022-2024. PI @ TUHH: Prof. Dr. Herbert Werner.
- Distributed Control of Nonholonomic Multi-Agent Systems in Wireless Communication Networks, NSFC DFG mobility programme, cooperation with ECUST Shanghai, duration 2022-2024. PI @ TUHH: Prof. Dr. Herbert Werner.
- Grid- and transformation-free model order reduction for linear parameter-varying systems, funded by Deutsche Forschungsgemeinschaft (DFG), duration 2019-2024. PI @ TUHH: Prof. Dr. Herbert Werner.
