FAU

#NdW25 Long Night Sciences: Sentimentanalyse mit Transformern in Aktion Join us on Saturday October 25, 2025 at the #NdW25! Our FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics…

Next Wednesday October 30, 2024 our Senior scientist Prof. Dr. Giovanni Fantuzzi will talk on "Data-driven system analysis: Polynomial optimization meets Koopman" at the IMC Seminar organized by the UC…

Event: A workshop in Speinshart: Scientific center for AI and SuperTech Date: Tue.-Sun. November 11 - 16, 2025 Event type: On-site From November 11 – 16, 2025, Kloster Speinshart hosted…

From Optimal Control to Reinforcement Learning: A Motivating Example from the Perspective of Linear Quadratic Regulators Fredson Silva De Souza Aguiar, Visiting Master Student. University of Sorbonne Paris Nord Repository…

Course: Partial Differential Equation, Control, and Numerics Lecturer: Enrique Zuazua | Exercise classes: Nicola De Nitti Period: 2019/2020 summer semester Date: April - July 2020 Location: FAU. Master's Degree in…

Course: Modeling and Analysis in Continuum Mechanics 1 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2020/2021 winter semester Date: October 2020 - March 2021 Location: FAU. Master's Degree in Computational…

Master PDE course – Partial Differential Equations, Control and Numerics 01 Introduction Historical Introduction Introduction Control Design   02 Finite-dimensional linear control Finite-dimensional linear control     03 Basic Tools…

Modeling, Simulation and Optimization (practical course) Professors: Enrique Zuazua, Daniël Veldman Period: Summer Semester 2020/2021 Date: April 12, 2021 to July 16, 2021 ECTS: 5 This course at FAU StudON:…

Course: Modeling and Analysis in Continuum Mechanics 2 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2020/2021 summer semester Date: April - July 2021 Location: FAU. Master's Degree in Computational and…

Course: Modeling, Simulation and Optimization (practical course) Lecturers: Enrique Zuazua, Daniel Veldman Period: 2020/2021 summer semester Date: April - July 2021 Location: FAU. Master's Degree in Computational and Applied Mathematics…

OCA’21 Online CIMPA School: Control, Numerics and Machine Learning by E. Zuazua Date: June 28 - July, 2021 Organized by: CIMPA, UIR, Mines-Rabat, Université Mohammed V de Rabat, Faculté de…

Control, Machine Learning and Numerics -Course (China) by E. Zuazua (Complete) Date: July 9 - 26, 2021 (4 weeks) Organized by: Tianyuan Mathematical Center in Northeast China and Jilin University…

Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 winter semester Date: October 2021 - March 2022 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10

Course: Modeling and Analysis in Continuum Mechanics 1 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 winter semester Date: October 2021 - March 2022 Location: FAU. Master's Degree in Computational…

Lecture notes: A primer on functional Analytic methods for PDEs Lecture notes: A primer on functional Analytic methods for PDEs FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021…

Course: Control, Machine Learning and Numerics (2022) Lecturers: Enrique Zuazua, Yongcun Song Period: 2021/2022 summer semester Date: April - July 2022 Location: FAU. Master's Degree in Computational and Applied Mathematics…

Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 summer semester Date: April - July 2022 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10

Course: Modeling and Analysis in Continuum Mechanics 2 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 summer semester Date: April - July 2022 Location: FAU. Master's Degree in Computational and…

Practical course: Modeling, Simulation and Optimization Professors: Enrique Zuazua, Daniël Veldman Period: Summer Semester 2021/2022 Date: April 25, 2022 to July 31, 2022 ECTS: 05 This course at FAU StudON:…

Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 This course provides a practical introduction to some of the most commonly used discretization methods…

Course: Control and optimization for non-local and fractional differential equations Period: Summer 2022 (August 1st – August 12nd, 2022) I. Introduction to Control Theory • Lecture 1: Introduction to Control…

Course: A Practical Introduction to Control, Numerics, and Machine Learning (IFAC CPDE 2022) Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022…

Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 - March 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10

Course: Mathematical Modeling in the Life Sciences Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 - March 2023 Location: FAU. Master's Degree in Computational and…

Introduction to control and machine learning Professors: Enrique Zuazua, Yongcun Song Period: Winter Semester 2022/2023 Date: November to December 2022 ECTS: 05 This course at FAU StudON: https://www.studon.fau.de/studon/goto.php?target=crs_4724699

Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, , Nicola De Nitti Period: 2022/2023 summer semester Date: April - July 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS:…

Course: Wave Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 summer semester Date: April - July 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10

CML: Control, Machine Learning and Numerics Professors: Enrique Zuazua, Yongcun Song Period: Summer Semester 2022/2023 Date: April to July 2023 ECTS: 10 This course at FAU StudON: https://www.studon.fau.de/studon/goto.php?target=crs_5073175

Math Crash Course FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: 2023 _ The math final exams are coming up and you're still unsure? Don't worry, with our Math Abi Crash…

RACP2024: Recent advances in Control Theory of PDE systems From February 12 - 15, 2024 Prof. Enrique Zuazua will talk on Inverse design for conservation laws and Hamilton-Jacobi equations at…

ODL: Introduction to Optimal Control and Machine Learning On March 19 - 21, 2024, Prof. Enrique Zuazua will give a lecture Series on Introduction to Optimal Control and Machine Learning…

Date: July 2024 Course: Control and Machine Learning Lecturer: Prof. Enrique Zuazua Recordings S01: Introduction to Control Theory S02: Introduction: Calculus of Variations, Controllability and Optimal Design S03: Introduction: Optimization…

Date: October 7, 2024 Event: 100th Session. Seminar in PDEs and Applied Mathematics On October 7th, Prof. Enrique Zuazua did talk as a plenary speaker of the Seminar in PDEs…

Course: Introduction to Optimal Control and Machine Learning On October 21-23, 2024 Prof. Enrique Zuazua will give an online course on Introduction to Optimal Control and Machine Learning organized by…

Introduction to Control and Machine Learning Master Course – FAU, Friedrich-Alexander-Universität Erlangen–Nürnberg This course explores the deep connections between control theory, dynamical systems, and modern machine learning, highlighting how mathematical…

At FAU MoD Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg, we are glad to invite you all to the free (online) two-day course on April 28-29th, 2022 about…

Date: Tue. August 1 - Fri. August 4, 2023 Event: CIN-PDE 2023 Erlangen-Shanghai. Workshop on Control, Inversion and Numerics for PDEs. Organized by: FAU MoD, the FAU Research Center for…

From June 10 - 14, 2024, our FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is hosting the first "Trends in Mathematical Sciences" conference (in hybrid…

This summer, Prof. Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Giuseppe M. Coclite (Politecnico di Bari) are organizing the "PDEs, Control and Deep Learning" Summer School on July 22-26, 2024…

Event: CIN-PDE 2024. Conference on Control, Inversion and Numerics for PDEs. Date: Mon.-Thu. October 7 - 10, 2024 Next October, the Fudan University is hosting the 2nd. edition of the…

Last update: 15.05.2025   On April 28 - 30, 2025, our FAU MoD, Research Center for Mathematics of Data is hosting the "Machine Learning and PDEs" workshop (MLPDES25) supported by…

Date: Fri. - Thu. May 2 - 8, 2025 Event: FAU MoD Course Organizer: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg FAU MoD Course: Towards…

From June 16 - 20, 2025, our FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is co-hosting with the Universidade Federal Fluminense the "Trends in Mathematical…

Date: Mon.-Tue. June 23 - 24, 2025 Event: FAU MoD Lecture & Workshop Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD…

Event: JLU Short-course Date: Mon.-Wed. July 21-23, 2025 Title: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning Speaker: Prof. Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Videos/recordings Find this…

Date: Fri.- Sun. July 25 - 27, 2025 Event: Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025 Title: Recent Trends in Applied Mathematics and Machine Learning 2025…

Date: Tue. September 23, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Session 01 (11:30H) HYCO: Hybrid-Cooperative Learning…

On November 19-25, 2025, our FAU MoD, Research Center for Mathematics of Data at FAU and the Digital Twin Lab under the CMAI, Center for Mathematics and Artificial Intelligence at…

FAU MoD Workshop G. Fantuzzi / D. Martonová https://mod.fau.eu/faumod-workshop-dec-2025/ Date: Wed. December 10, 2025 Event: FAU MoD Workshop Organized by: FAU MoD, the Research Center for Mathematics of Data at…

Date: Mon.-Wed. June 22 - 24, 2026 Event: MLPDES26, Machine Learning and PDEs Workshop (2026) Host: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Event…

Event: Benasque XI Workshop-Summer School 2026: XI Partial Differential Equations, Optimization, Numerics, and Machine Learning Date: Sun.-Fri. August 23 - September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Deadline…

Date: Wed. - Fri. December 2 - 4, 2026 Event: FAU MoD Course Organizer: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg FAU MoD Course: Discovery…

Gradient Descent on Wide Neural Networks and Federated Learning Master Thesis: "Gradient Descent on Wide Neural Networks and Federated Learning" Author: Gisele Stephanie Otiobo Supervisor: Prof. Dr. DhC. Enrique Zuazua…

Machine Learning: Publisher Recommendation Model Master Thesis: "Machine Learning: Publisher Recommendation Model" Author: Mohammed Quaidjohar Husain Supervisor: Prof. Dr. DhC. Enrique Zuazua Date: July 7, 2023 The exponential rise of…

Analysis, control, and singular limits for hyperbolic conservation laws Analysis, control, and singular limits for hyperbolic conservation laws Author: Nicola de Nitti Date: Monday July 24, 2023 PhD Thesis: Analysis,…

Synthetic Training Data Generation for Point Cloud Defects Master Thesis: "Synthetic Training Data Generation for Point Cloud Defects" Author: Nishitha Yedalapalli Supervisor: Prof. Enrique Zuazua, Yongcun Song Date: January 29,…

AI-based Diagnosis of Combustion Anomalies in Hydrogen Engines Master Thesis: "AI-based Diagnosis of Combustion Anomalies in Hydrogen Engines" Author: Arun Sai Thunga Supervisor: Prof. Enrique Zuazua Date: June 30, 2024…

Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability Master Thesis: "Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability" Author: Greshma Shaji Supervisors:…

PhD Thesis defense by M. Hernández Salinas Next Thursday September 25, 2025 our team member Martín Hernández will present his PhD Thesis on: "From Optimal Control to Random and Neural…

Robust Creep Control Algorithm with motion shaping and tracking for passenger vehicles Master Thesis: "Robust Creep Control Algorithm with motion shaping and tracking for passenger vehicles" Author: Dante Amor Supervisors:…

Synthetic profile generation for energy system planning using Artificial Intelligence Master Thesis: "Synthetic profile generation for energy system planning using Artificial Intelligence" Author: Aniruddha Maiti Supervisors: Prof. Enrique Zuazua, Zhengping…

PhD Thesis defense by A. Alvarez-Lopez Next Wednesday July 1, 2026 our team member Antonio Álvarez-López will present his PhD Thesis on: "Deep Learning with Controlled Flows: Expressivity, Generalization and…

Moment-sum-of-squares optimization for network dynamics Project/grant agreement No.: FA 1957/4-1 Principal Investigators (PI): Prof. Giovanni Fantuzzi Host Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany) Funding: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH) Duration: January 01,…

Renormalized Solutions in der Optimalsteuerung von Evolutionsgleichungen Project/grant agreement No.: ME 5917/2-1 Principal Investigators (PI): Prof. Hannes Meinlschmidt Host Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany) Funding: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH) Duration:…

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)…

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…

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…

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),…

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…

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 Marie et…

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…

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…

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…

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 –…

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…

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…

sherpa.ai | Technological transfer Enrique Zuazua Duration: June 2021 - now Recommendation Systems and Machine Learning.    || Go to the FAU 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…

DFG-Priority Programme SPP 1679 Dynamic simulation of interconnected solids processes. (2017 – 2019) Günter Leugering, Lukas Plug, Michele Spinola Supported by DFG Duration: 2017 - 2019 The material and the energy…

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…