On April 30, 2024 Prof. Enrique Zuazua will talk on “Optimal placement and design of sensors and actuators” at the Variational Analysis, Models and Methods in Measure Spaces workshop organized at CIRM on April 29 to May 3, 2024. The goal of this workshop is to bring together international experts […]
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Next June 10 – 14, 2024, our FAU MoD, Researcher Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is hosting the first “Trends in Mathematical Sciences” conference thanks to the support of our FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship and […]
On March 19 – 21, 2024, Prof. Enrique Zuazua will give a lecture Series on Introduction to Optimal Control and Machine Learning at the 5th Edition of the Open Doctoral Lecture Series organized by the UM6P’s VANGUARD Center in collaboration with Université Cadi AYYAD, University Côte d’Azur and GE2MI. Abstract. […]
On Fri. March 8, 2024 Prof. Enrique Zuazua will talk on Control and Machine Learning at the ANMATH Seminars at EPFL Laussane. Abstract. In this lecture, we will discuss recent results from our group that explore the relationship between control theory and machine learning, specifically supervised learning and universal approximation. […]
On Wednesday March 6, 2024 Prof. Enrique Zuazua will talk on “Dynamics, Control and Numerics” at the “Zurich Colloquium in Applied and Computational Mathematics” organized at ETH Zürich. Abstract. Norbert Wiener defined “Cybernetics” as “the science of control and communication in the animal and the machine”, anticipating some of the […]
On Thursday February 29, 2024, Prof. Enrique Zuazua will talk on Control and Machine Learning at RAMSA 2024, the 7th. International Conference on Recent Advances in Mathematical Sciences and its Applications on February 29 – March 02, 2024 organized by the Department of Mathematics, Jaypee Institute of Information Technology (JIIT […]
On Monday February 26, 2024, Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the winter school Model Order Reduction Methods for Control and Machine Learning, organized at the UM6P, Université Polytechnique Mohammed VI on February 26 – 29, 2024 in Benguerir, Morocco. Abstract. Control theory and Machine […]
On Monday February 19, 2024, Prof. Enrique Zuazua will talk on Control and Machine Learning at the DEDS2024, Differential Equations for Data Science 2024, the international conference organized (online) on February 19 – 21, 2024. Abstract. In this lecture we shall present some recent results on the interplay between control […]
From February 12 – 15, 2024 Prof. Enrique Zuazua will talk on Inverse design for conservation laws and Hamilton-Jacobi equations at the “Recent advances in Control Theory of PDE systems” program organized on February 12-23, 2024 by Shirshendu Chowdhury (IISER Kolkata, India), Debayan Maity (TIFR CAM, India) and Debanjana Mitra […]
On February 15, 2024 Prof. Enrique Zuazua will talk on Contrôle et apprentissage automatique an event organized by the Adria Business & Technology and the moroccan association Math & Maroc. Abstract. La motivation de contrôler les machines remonte à l’antiquité: des machines exécutent automatiquement le travail de l’homme afin que […]
On January 9, 2024 Prof. Enrique Zuazua will talk on “Control, Cibernetics and Artificial Intelligence” (Control, Cibernética e Inteligencia Artificial) at the IUI Conference Mathematical Modeling: Theory and Applications (“Jornada IUI Modelización matemática: teoría y aplicaciones”) organized at the University of Zaragoza (Spain). The conference will be dedicated to the […]
On December 24, 2023 Prof. Enrique Zuazua will talk on “Control and Machine Learning” (S3-1) at the Symposium Controllability and Differential Equations of the 89th Annual Conference of Indian Mathematical Society an international meet organized annually by the IMS, Indian Mathematical Society, this year at BITS Pilani (India) on December […]
On Wednesday December 13, 2023 Prof. Enrique Zuazua will talk on “AI techniques in guidance control problem and space missions – Control and Machine Learning” as part of the Topic 1: Manifold dynamics, trajectory design, and related control aspects of the conference “New trends and challenges in optimisation theory applied […]
Next Tuesday December 12, 2023 our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the MATH-DT, Mathematical Opportunities in Digital Twins Workshop at GMU, George Mason University on December 11-13, 2023. This workshop brings together key experts working in many aspects of mathematics, key application fields, […]
Next Wednesday December 6, 2023 our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the Workshop on recent advances in kinetic theory and related models organized at the Beijing International Center for Mathematical Research, Pekin University on December 4-8, 2023. Abstract. In this lecture we shall […]
Schöne Mathematik für Künstliche Intelligenz Last month, FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg interviewed our Head Prof. Enrique Zuazua on “Beautiful mathematics for Artificial Intelligence” (Schöne Mathematik für Künstliche Intelligenz) that appeared at the FAU Magazin 2023/2024: This the English version of the original interview (in German) October 30, 2023 Three questions for […]
Date: Wed. November 22, 2023 Event: FAU MoD Lecture Series (Special double session. November 2023) Organized by: FAU MoD, the FAU Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) First session: 13:45H FAU MoD Lecture: Prospects of formalized mathematics Speaker: Prof. Dr. Michael Kohlhase Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg. Carnegie […]
On November 23 – 27, our Head Prof. Enrique Zuazua is giving a historical introduction to Control and Machine Learning and then talking on control of finite dimensional systems and Supervised Learning by Control Methods at the Tutorial lecture series on “Advanced Topics Systems Control” organized (online) from November 23 […]
On November 17, 2023 our Head Prof. Enrique Zuazua will talk on Control and Machine Learning at the ICMAM Latin America Satellite Conference on Data Science, AI, and Machine Learning organized by ICMAM Latin America. Abstract. In this lecture we shall present some recent results on the interplay between control […]
On November 7, 2023 our Head Prof. Enrique Zuazua will talk on “Optimal placement of sensors and actuators” at the “Control of Partial Differential Equations in Hauts-de-France” (CPDEs2023) organized by UPHF, Ulille, ULCO on November 6-8, 2023 in France. Asbtract. In this lecture we shall discuss the problem of sensor […]
On October 13th, 2023 the Bavarian University Center for Latin America (BAYLAT, Bayerische Hochschulzentrum für Lateinamerika) and our Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) are hosting a joint virtual-meeting to present potential Bavaria-Latinamerican collaborations in the area […]
Next Friday September 15, 2023 (at 10:00H local time) our Head Prof. Enrique Zuazua will talk on “Control, Cybernetics and Artificial Intelligence” organized by the Science and Technology Association at Jilin University (China). Abstract. Systems control, or cybernetics, according to the term first coined by Ampère and later popularized by […]
Analysis, control, and singular limits for hyperbolic conservation laws Author: Nicola de Nitti Date: Monday July 24, 2023 PhD Thesis: Analysis, control, and singular limits for hyperbolic conservation laws (July 24, 2023) Abstract. The main focus of this thesis is on the study of singular limits related to scalar conservation […]
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 digital content in recent years, along with the spread of inter- net platforms, has led to an excessive influx of data from all sources, which […]
Next May 31, 2023 our Head Prof. Enrique Zuazua will talk on “Control, Cibernética e Inteligencia Artificial” at the Coloquio Virtual Latinoamericano: Control, Cibernética e Inteligencia Artificial organized by CRC, Computational Science Research at San Diego State University (USA). Abstract. El control de sistemas, o la cibernética, según el término […]
On May 22, 2023 our Head Prof. Enrique Zuazua will talk on “Controllability of Neural Differential Equations” at the 4th AFOSR Monterey Training Workshop on Computational Issues in Nonlinear Control-Topics organized on May 22-24, 2023 in California thanks to Air Force Office of Scientific Research (AFOSR) and University of California, […]
Master Thesis: “Gradient Descent on Wide Neural Networks and Federated Learning” Author: Gisele Stephanie Otiobo Supervisor: Prof. Dr. DhC. Enrique Zuazua Date: May 20, 2023 Deep neural networks are very complex and difficult to understand due to their intricate structure and a vast number of parameters. The relationship between parameters […]
Next Wed. May 17, 2023 at 19:00H our Head Prof. Enrique Zuazua will talk on “Numerics, Dynamics, Control and Machine Learning” at the Seminario de EDP e Matematica Aplicada organized by UFF, UFRJ, LNCC, U. Sevilla, UdeC and UEM (Brazil, Portugal, Spain, Peru, Chile). Abstract. In this lecture we shall […]
Inria International Chairs holder In May 2023, Prof. Enrique Zuazua has been awarded as a Holder of Inria International Chair to set up/reinforce an existing collaboration with the Inria teams. Topic: Control and Scientific Machine Learning Years: 2023-2027 • Check the the holders (2023) of Inria International Chairs. _ Don’t […]
Next May 11, 2023 at 10:10H our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the conference Optimization and Control in Burgundy that aims to gather mathematicians from the two fields Optimization and Control to promote new exchanges and collaborations organized from May 9th-11st, 2023 at […]
Date: Thu. April 27, 2023 Time: 09:45H (11:45H GST) Where? On-site On April 27, 2023 our Head Prof. Enrique Zuazua will talk as keynote speaker on “Control and Machine Learning” at the ICMSAO’23, a venue for engineers and scientists from all over the world to share their latest research results […]
Date: Mon. April 17, 2023 Time: 16:00H Where? On-site / Online (zoom link below) On April 17, 2023 our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the Workshop Geometric Aspects of Evolution and Control organized on April 17-21, 2023 at the FernUniversität Hagen, Germany. Abstract. […]
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
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 This course at FAU StudON: –
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: 10 This course at FAU StudON: –
Millions in funding for Humboldt Professor Enrique Zuazua Another FAU researcher has prevailed in the competitive process for the Advanced Grants of the European Research Council (ERC): The mathematician and Humboldt Professor Dr. Enrique Zuazua will receive up to 2.5 million euros for his project “Control for Deep and Federated […]
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
Date: Thu. October 26, 2022 Event: II Workshop on Control Theory and Partial Differential Equations Universidade Federal Fluminense, Brazil Title: Control and Machine Learning Speaker: Our Head Prof. Enrique Zuazua Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. In this lecture we shall present some recent results on the interplay between control and […]
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 Applied Mathematics ECTS: 10 This course at FAU StudON: –
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 This course at FAU StudON: –
Date: October 03, 2022 Author: Prof. Dr. Enrique Zuazua Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany). Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship Source: SIAM News, Society for Industrial and Applied Mathematics. Pittsburgh, Pennsylvania (USA) Two recurring questions pertain to the origin, history, and present state of mathematics. The […]
Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part of the course is […]
Date: Tue. September 6, 2022 Event: M4CSA, Mathematics for Computer Science and Applications. Title: Control and Machine Learning Speaker: Our Head Prof. Enrique Zuazua Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Our Head Enrique Zuazua talked about “Control and Machine Learning” at the M4CSA, Mathematics for Computer Science and Applications.. The conference focused […]
• Ilias Ftouhi, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Optimal shape design of sensors via a geometric approach View this poster
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 Theory • Lecture 2: Introduction to Control Theory II. Non-local in time models • Lecture 3: ODE and ODE with […]
Date: July 13, 2022 Enrique Zuazua, 2022 W.T. and Idalia Reid Prize Laureate: Prof. Dr. Enrique Zuazua Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Award: Enrique Zuazua: 2022 W.T. and Idalia Reid Prize By: SIAM – Society for Industrial and Applied Mathematics Location: Room “Spirit of Pittsburgh A”. SIAMAN22, SIAM Annual Meeting. Pittsburgh, […]
Date: Tue. June 14, 2022 Organized by: CIRM, Centre International de Rencontres Mathématiques (Marseille, France) Title: Optimal design of sensors and actuators Speaker: Our Head Prof. Enrique Zuazua Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Our Head Enrique Zuazua talked about “Optimal design of sensors and actuators” at the Theoretical and Numerical Trends […]
Date: Mon. April 25, 2022 Organized by: BAYLAT, Bayerisches Hochschulzentrum für Lateinamerika Title: “Visit of the Embassy of Uruguay in Erlangen, Bavaria (Germany)” On Monday April 25, our Head Prof. Enrique Zuazua presented an overview on our FAU DCN-AvH Chair for Dynamics, Control and Numerics at Friedrich-Alexander-Universität Erlangen-Nürnberg during the […]
Modeling, Simulation and Optimization (practical course) 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: https://www.studon.fau.de/studon/goto.php?target=crs_4366861
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 Applied Mathematics ECTS: 10 This course at FAU StudON: –