CoDeFeL. Control for Deep and Federated Learning ERC Advanced Grant 2022. Control for Deep and Federated Learning (CoDeFeL) Principal Investigator (PI): Prof. Enrique Zuazua Host Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany) and DeustoCCM (Deusto University, Spain) Duration: 5 years (2024 – 2029) Machine Learning (ML) is forging a new era in […]
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Hybrid Control and Estimation of Semi-Dissipative Systems: Analysis, Computation, and Machine Learning Project/grant agreement No.: FA8655-24-1-7027 Principal Investigators (PI): Prof. Enrique Zuazua Host Institution: European Office of Aerospace Research and Development (EOARD), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany) Duration: 3 years (June 15, 2024 – June 14, 2027) Description The proposed research […]
Control and numerical analysis of complex systems Project/grant agreement No.: 57703041 Principal Investigators (PI): Prof. Enrique Zuazua Host Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany), Federal Fluminense University (UFF, Brazil) Supported by DAAD, Deutscher Akademischer Austauschdienst (German Academic Exchange Service) Duration: 2 years (January 2024 – December 2025) Programmes for Project-Related Personal […]
Control of multi-particle systems, mean-field limits, and applications to deep learning (Steuerung von Mehrteilchensystemen, Mean-Field Limits und Anwendungen für Deep Learning) Project Nº: 530756074 Affiliated Entities: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany), Catholic University of Korea (CUK, South Korea) Supported by DFG (Deutsche Forschungsgemeinschaft/ German Research Foundation) and NRF. Südkorea-NRF-DFG-2023 programme Duration: […]
Control, inversion and numerics for Partial Differential Equations (CIN-PDE) Project Nº: M-0548 Affiliated Entities: Fudan University (FDU, Shanghai), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany) Supported by Sino-German Mobility Programme from Chinesisch-Deutsches Zentrum für Wissenschaftsförderung located in NSFC (National Natural Science Foundation of China) and DFG (Deutsche Forschungsgemeinschaft/ German Research Foundation) Duration: 2022 […]
DTN MoDConFlex. Modelling and control of flexible structures interacting with fluids Project/grant No.: 101073558 Affiliated Entities: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Bergische Universität Wuppertal, Tel Aviv University, Universiteit Twente, Université Bourgogne Franche-comté (UBFC), Université de Bordeaux Supported by HORIZON TMA MSCA. Marie Skłodowska-Curie Doctoral-Training-Network Duration: 2023 – 2027 The network brings together 17 […]
BaCaTeC. Control and Machine Learning Enrique Zuazua, Miroslav Krstic Supported by HighTech Research between Bavaria and California (BaCaTeC, Bayerisch-Kalifornische Hochschulzentrum) Duration: 2023 – 2025 Machine Learning (ML) is forging a new era in Applied Mathematics (AM), generating rich, intensive, innovative research, insightful new ideas and powerful methods. However, simultaneously, this is […]
Doctoral School of Information and Biomedical Technologies Polish Academy of Sciences: Modeling, Robust Design and Control of Gas Networks Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Systems Research Institute of the Polish Academy of Sciences (Warsaw, Poland) Duration: 2022 – now Simulation and Optimization on Finite Graphs is considered for the example of […]
Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks (Applications are welcome for the research internship positions for a Master thesis) Project No. 5500168 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Fraunhofer IISB (Erlangen) Supported by the FAUeti, Emerging Talents Initiative at Friedrich-Alexander-Universität Erlangen-Nürnberg Duration: 2022 – 2024 In recent years, Physics-Informed Neural Networks (PINNs) […]
Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks DFG WA5144/1-1: Modellierung, Analysis und Steuerung degenerierter nichtlinearer hyperbolischer Systeme auf Netzwerken Project/grant No.: 504042427 Supported by DFG – Deutsche Forschungsgemeinschaft Individual Research Grant Duration: 2022 – 2024 Control for degenerate partial differential equations (PDEs) is needed many applications, […]
BaCaTeC. Endowing Artificial Intelligence with Control-Theoretic Guarantees: Data-Based Optimization in Real Time for Dynamic Systems Supported by: HighTech Research between Bavaria and California Duration: 2021 – 2022 Unlike most machine learning algorithms, which have yet to be equipped with guarantees of convergence and stability in real time for feedback applications to […]
SFB Transregio 154 Mathematical Modelling, Simulation and Optimization using the example of Gas Networks Project: TRR 154 – SFB Transregio 154 Project/grant No.:239904186 Supported by DFG (Deutsche Forschungsgemeinschaft/ German Research Foundation) Duration: 2018 – 2026 SFB TRR154 Transregio – Mathematical modelling, simulation and optimization using the example of gas networks is […]
sherpa.ai | Technological transfer Enrique Zuazua Duration: June 2021 – now Recommendation Systems and Machine Learning. || Go to the Projects main page
e-Learning Anja Bird, Andreas Räthe, Wigand Rathmann, Nicolai von Schroeders Supported by FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg Duration: 2019 – Higher Education. Internationalisation 2.0. Calculus and Basic Stats with R (2018-now). Transition Studies are being developed at FAU to help foreign students enter the Master’s program at FAU. Mathematics is involved in […]
Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship (formerly Applied Analysis) Our Team Supported by Alexander von Humboldr Foundation / Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Duration: 2019 – now Funded by Alexander von Humboldt Stiftung/Foundation, the Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt […]