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- Category: 2022
- Category: 2022-released
- Category: 2023-accepted
- Category: Activities
- PTGAS – Web manager – ERC CoDeFel, Control for Deep and Federated Learning project
- IKTrace Seminar: From particles to cells: kinetic modeling of living complexity
- DeustoCCM Seminar: Optimal Image Transport over Sparse Dictionaries
- EZ 65: Control, PDEs and Machine Learning
- IKTrace Seminar: When Equations meet Data: Inverse Problems and Hybrid-Cooperative Learning
- Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics
- IKTrace Seminar: On Operators Inspired by the Fractional Context and their Consequences in Complex Analysis and Control Theory
- Visiting research stay from BIT, Beijing Institute of Technology
- Enrique Zuazua invited to deliver a Special Section Lecture at ICM 2026
- DeustoCCM Seminar: Computational implementation and statistical analysis of non-standard cosmological models
- DeustoCCM Seminar: Dark Matter: A Glimpse into the Invisible
- Working meeting DeustoCCM (January, 2026)
- Kick-off meeting DeustoCCM (January, 2026)
- Spiking Neural Networks: theoretical framework for universal approximation and training – 3rd. meeting of the COPI2A network
- A multi-objective optimization framework for decentralized learning with coordination constraints – 3rd. meeting of the COPI2A network
- The Mathematics of Scientific Machine Learning and Digital Twins
- Matemáticas y progreso – El epicentro de todas las ciencias. Matemáticas de lo cotidiano
- DeustoCCM Seminar: Research on Control Problems of Several Types of Infinite-Dimensional Systems
- DeustoCCM Seminar: Developing Mathematical and Physical Tools for Multiscale Dynamical Systems. Applications to Neurophysiological Data
- Collaboration meeting (July 11, 2025)
- Joint meeting (July 10, 2025)
- Collaboration meeting (July 7, 2025)
- DeustoCCM Seminar by R. Orive and A. Alvarez
- DeustoCCM Seminar by R. Lecaros and J. Lopez
- Meeting Prof. Manfredi, Pitt. (June 27, 2025)
- DeustoCCM Seminar: Universal approximation and convexified training in neural networks
- Collaboration meeting with CIC bioGUNE (June 9, 2025)
- Visit by Prof. Rafael Orive Illera (June 4-5, 2025)
- DeustoCCM Seminar: Soluciones de viscosidad: Teoría y aplicaciones
- DeustoCCM Seminar by R. Morales and K. Lyu
- Control Theory and applications (April 4, 2025)
- DeustoCCM seminar: Approximations of the best constants
- Digital Twins (March 21, 2025)
- FAU MoD Lecture: Applications of AAA Rational Approximation
- ERC DyCon Impact Dimension (2016-2022)
- Spectral inequalities for pseudo-differential operators and control theory on compact manifolds
- FAU DCN-AvH Seminar: Natural gradient in evolutionary games
- Workshop on Control Problems
- FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time
- ICCHA2022: Control and Machine Learning by E. Zuazua
- M4CSA: Control and Machine Learning by E. Zuazua
- Control and Machine Learning by E. Zuazua
- DeustoCCM double-seminar: “Optimal control of mixed local-nonlocal parabolic PDE” and “Nonlinear Feedback Control Design for Fluid Mixing”
- Enrique Zuazua: 2022 W.T. and Idalia Reid Prize by SIAM
- DeustoCCMSeminar: Null controllability of a nonlinear age, space and two-sex structured population dynamics model
- Mini-Workshop “Calculus of Variations and Functional Inequalities”
- Benasque Workshop-Summer School: PDE’s, Optimal Design and Numerics
- Enrique Zuazua awarded 2022 W.T. and Idalia Reid Prize
- Controllability of transport network systems by the regular linear systems approach
- Seminar in PDE, Tongji University
- Model Predictive Control with Random Batch Method for Linear-Quadratic Optimal Control: Introduction and Matlab Implementation
- DeustoCCM Seminar: Fefferman-Stein Theory for Oscillating Singular Integrals
- Partially dissipative hyperbolic system, results and perspectives
- DeustoCCM Seminar: Controllability in Lotka-Volterra competitive systems with positive controls
- DeustoCCM double-seminar: “The RBM-MPC Strategy for linear-quadratic optimal control” and “Controllability of transport network systems by the regular linear systems approach”
- Introduction to spherical geometry: postulates and Pythagoras’ theorem
- Contrôle et apprentissage automatique
- Domènec Ruiz-Balet -PhD Thesis defense: “Some control aspects in Mathematical Biology and Deep Learning”
- MASSAI 2022: Mediterranean and African Summer School on Artificial Intelligence
- Smart control. Two converging points of view
- The Disk Multiplier and the Spherical Maximal Operator
- II [B_1^-] Short-course: Control and Machine Learning by E. Zuazua
- Swinging up the double pendulum on a cart
- A Fisher-KPP model with a fast diffusion line in periodic media
- DeustoCCM Seminar: Partially dissipative hyperbolic systems, results and perspectives
- Seminar Series: Deep Learning in Control
- ACMAM 2022: Control and Machine Learning by Enrique Zuazua
- Mini-Workshop “Recent Advances in Analysis and Control”
- Ghent Methusalem Junior Seminar
- DeustoCCM Seminar: Fourier multipliers, Hausdorff measure and classification with scattering transform
- Decod2021: Heat equations with memory: flow decomposition, constraints and control by E. Zuazua
- Deep generative models and their applications
- Open call Predoctoral position: Kinetic Equations and Learning Control
- Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua
- A mathematical model for civil wars: a new Lotka-Volterra competitive system
- A Fisher-KPP model with a fast diffusion line in periodic media by E. Affili
- CIRM-FBK 2021: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
- FBP2021 | Inverse design for Conservation laws and Hamilton-Jacobi equations by E. Zuazua
- SHU Course: Principles of AI for Control and Optimization
- Course on Spherical Geometry by Elisa Affili
- Summer course (China): Control, Machine Learning and Numerics by E. Zuazua
- 33rd. CBM – Brazilian Colloquium of Mathematics
- ERC researchers encounter at UAM
- Summer short course (China): Control, Machine Learning and Numerics by E. Zuazua
- Control of reaction-diffusion equation with state constraints -INdAM Workshop
- Multilevel Selective Harmonic Modulation via Optimal Control -INdAM workshop
- Jon Asier Bárcena-Petisco: Premio de Investigación Matemática Vicent Caselles 2021
- ERC DyCon Postdoctoral open position 2021-2022
- INdNAM workshop: “Analysis and Numerics of Design, Control and Inverse Problems”
- OCA’21 Online CIMPA School
- Borjan Geshkovski -PhD Thesis defense: “Control in Moving Interfaces and Deep Learning”
- Enrique Zuazua: TOP TALENT de la CIENCIA
- Networks, Waves and Control
- StudOn AG Neural Differential Equations, Control and Machine Learning
- Neural Differential Equations, Control and Machine Learning
- DeustoCCM double-seminar: Research Topics: control questions in Lotka-Volterra and cross-diffusion models and Generative modelling and normalizing flows
- Chaire Jean-Morlet 2021: Dynamics and Control of a guiding Model by E. Zuazua
- DyCon blog: Multilevel Selective Harmonic Modulation via Optimal Control
- Jornada de Primavera en EDPs
- Cafés Scientifique de la Culture: Engagez-moi, je suis mathématicien, by E. Zuazua
- DyCon blog: Points of Interest Extraction and Prediction of Next Locations
- Perceptrons, Neural Networks and Dynamical Systems
- Deep Learning & Paradigms
- Open World PDE Seminar: Inverse design for conservation laws and Hamilton–Jacobi equations
- Opening the black box of Deep Learning
- Coloquio MTM UFSC: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
- Research at service of Society
- CCM – How we did it on 2020!
- Turnpike Control and Deep Learning by Enrique Zuazua
- The interplay of Deep Learning and Control Theory by Borjan Geshkovski
- DyCon blog: Averaged dynamics and control for heat equations with random diffusion
- Inverse design for conservation Laws and Hamilton-Jacobi equations
- 3rd BYMAT Session by Jon Asier Bárcena Petisco
- PhD and Postdoc positions in Applied Mathematics at FAU
- HKSIAM Seminar by E. Zuazua: Turnpike control and deep learning
- The Fields Institute 2nd Symposium on Machine Learning and Dynamical Systems
- Noboru Sakamoto – Long time horizon control & Turnpike
- Averaged dynamics and control for heat equations with random diffusion by Jon Asier Bárcena Petisco
- Hire me! I’m a Mathematician – by Enrique Zuazua
- DyCon blog: Q-learning for finite-dimensional problems
- Reaction-diffusion in Social and Biological Sciences: Dynamics and ResNet Control by Enrique Zuazua
- XX Semana de la Ciencia
- Large-time asymptotics in Deep Learning by Borjan Geshkovski
- PhD for Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks at TRR 154
- DeustoCCM Seminar: Averaged dynamics and control for heat equations with random diffusion
- Optimal Control and Design of Structures and Fluids by Enrique Zuazua
- Enrique Zuazua – Seminar on PDE and Applied Mathematics, Brazil
- Turnpike Control and Deep Learning by Enrique Zuazua at IITK
- An Introduction to Reinforcement Learning and Optimal Control Theory
- Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems
- CMAI Colloquium Fall 2020 – 1st session by Enrique Zuazua
- Tips for a good SyG interview
- Gender Roles in Maths
- Less health and money, and more heartbreak
- At FAU-ZISC “Data-Driven COVID Modeling”
- Dynamics, Numerics and Control of Reaction-Diffusion Models Arising in Social and Biological Sciences
- New Approaches to controlling Dynamics
- Master PDE Course – Partial Differential Equations, Control and Numerics
- DeustoCCM Webinar: Swinging up the double pendulum & Data Driven COVID modeling
- PhD Thesis defense by Dario Pighin: “Long time control with applications”
- Webinar: Control of reaction-diffusion models arising in Social and Biological Sciences
- “Better with Math”
- DyCon blog: Inverse problem for Hamilton-Jacobi equations
- Matemundo, by Enrique Zuazua
- DyCon Blog: POD and DMD Reduced Order Models for a 2D Burgers Equation
- DeustoCCM Seminar: Data-driven Reduced Order Models course
- Math Encounter
- FAU: Light on the dark side of the moon
- Chinese-European cooperation about Computational Contact Mechanics
- DyCon Blog: Stabilization of a double pendulum on a cart with DyCon Toolbox
- DeustoCCM Seminar: Robust Control of Incompressible Flows
- DeustoCCM Seminar: Deep Learning and Natural Language Recognition
- Controllability of fractional heat equations under positivity constraints
- DeustoCCM Seminar: Micromechanical modeling of rough interface behavior
- Applied Analysis Seminar at FAU
- Impact of autonomous vehicles on vehicular traffic
- 7th Workshop on Mathematical Analysis
- Enrique Zuazua awarded the Txopitea eta Pakea – Eibar
- DeustoCCM Seminar: Mixing length computations for tracer flow in heterogeneous porous media by multiscale and lagrangian procedures
- Seminar: Multiplicative controllability for parabolic equations
- Collaboration with Benedetto Piccoli
- Introduction to Applied Mathematics
- Documentary “40 beats, one town”
- Turnpike in a Nutshell
- An introduction to Koopman operator theory
- The Edmund R. Michalik Distinguished Lecture
- Autumn day on PDEs
- DeustoCCM Seminar: An introduction to Koopman operator theory
- Colloquium “José Luis Rubio de Francia”
- Inverse design of one-dimensional Burgers equation
- DyCon blog: Analysis, numerics and control for the obstacle problem
- INDAMIP 2019
- Coupled Problems 19 – Azahar Monge
- European Most Innovative Universities
- Lund University – Azahar Monge
- Gaeta 2019
- ForoTech 2019
- Enrique Zuazua opens the cycle of seminars “Mayo del Talento” of the CIO
- Noboru Sakamoto – Visit to Laboratoire Jacques-Louis Lions
- Humboldt Award Ceremony 2019
- Seminar – Rotors Imbalance Suppression by Optimal Control
- Shape optimization, control and inverse problems for PDEs
- OFSMP-2019: Operators, Functions, and Systems of Mathematical Physics Conference
- Homogenization, spectral problems and other issues in PDE
- Humboldt Colloquium 2019
- DyCon blog
- Control and stabilization issues for PDE
- Visit to Friedrich-Alexander Universität
- Contrôle et Stabilisation des EDP
- Placement of Laura Psaila
- Borjan Geshkovski: Best Review and Presentation Prize
- Gender Interdisciplinary Platform – University of Deusto
- Visit to Puerto Rico University
- LIA COPDESC – Workshop Calculus of Variations and Nonlinear PDEs
- Technical Committee on Distributed Parameter Systems
- Some aspects of controllability for non-linear parabolic and hyperbolic equations
- Humboldt Professorship
- Modeling, Simulation and Applications
- 3rd IFAC Workshop 2019
- Workshop on Dynamics, Control and Numerics for Fractional PDE’s
- Zientzia Astea in Eibar
- International Summer School on Mathematical Control, EECI
- International Conference on Elliptic and Parabolic Problems
- Workshop & Summer School – Partial Differential Equations, Optimal Design and Numerics
- Workshop on Analysis, Control and Inverse Problems for PDEs
- COSNET Project
- Science by Women Program and DeustoTech
- ConFlex – Second Network Meeting
- Consultoría en diseño de espacios gastronómicos
- Optimal Placement of Sensors and Actuators for Waves in Homogeneous and Heterogeneous Media
- The RVT method to solve random non-autonomous second-order linear differential equations about singular-regular points
- European Embedded Control Institute
- Basics on Electric Power System Analysis
- Mathematical model to assess impact of VIH/AIDS infection in the spread of tuberculosis
- Prof. Leontine Nkamba visits Dycon Project
- Chair of Computational Mathematics’ video
- Chair of Computational Mathematics at FOROTECH2018
- Contratadme, soy matemático | Mathematics and society in Castellón
- Reaction-diffusion models, constraints and control
- 44e Congrès National d’Analyse Numérique
- DyCon at “Fundamentals and Practice of Finite Elements”
- “Hire, I’m a mathematician” by Enrique Zuazua
- Conference: «Hire, I’m a mathematician» by Enrique Zuazua at Universitat Jaume I
- CIENCIA, y yo quiero ser científico!!!
- New Journal: Pure and Applied Analysis
- IX Pan-American Workshop Applied Mathematics & Computational Science
- ApplMath 18
- DyCon at SIDIM 2018
- SIDIM 2018
- A hombros de gigantes – Matemáticas para simular el universo (in Spanish)
- Modern Methods in Nonsmooth Optimization
- DyCon at “Modern Methods in Nonsmooth Optimization”
- DyCon at MINAKE 2018
- II Workshop on Stability and Control of Infinite-Dimensional Systems (SCINDIS-2018)
- École – Théorie et pratique des éléments finis
- Zuazua, the most cited expert in mathematics
- Bihar Enrike Zuazuaren hitzaldiarekin amaituko da Lemniskataren zikloa
- La mujer que sueña con ecuaciones
- Chair of Computational Mathematics #1 at ranking published by Grupo DIH
- A tribute to professor Eduardo Casas on his 60TH birthday
- DyCon, una PYME al servicio de la ciencia y de la industria
- Mathematics – Spotlight on ERC Projects
- Microlocal and Numerical Analysis, Kinectic Equations Control Conference
- Urtarrila, matematikaren bila
- Matematikaren Bila 2018, Lemniskata Sarea – ISSUU
- Dynamics, Equations and Applications (DEA 2019)
- ERC AdG DyCon project wishes you a Happy 2018!
- Filosofiaren defentsak
- Premier Congrès Franco-Marocain de Mathématiques Appliquées
- Las Matemáticas del retrete
- Matemáticas pasión y profesión, JAKIUNDE
- Conference of Enrique Zuazua at “Jakin-mina 2017-2018 Bizkaia”
- “Mathematics: passion and profession” by Enrique Zuazua | Ciencia en acción 2017
- ConDyS Second project meeting
- DyCon at the Institute de Mathématiques de Toulouse
- DyCon at ETH
- Ecole CIMPA : Contrôle, Problèmes Inverses et Géométrie
- Conference of Enrique Zuazua at “Ciencia en acción 2017”
- Mathematics: passion and profession
- CONTRÁTAME, SOY MATEMÁTICO
- Workshop on Control of PDEs Held at CAM
- Workshop GL2017 on Microlocal analysis, resonances and control theory in PDEs
- DyCon at New trends in Partial Differential Equations
- The 6th International Conference on Control and Optimization with Industrial Applications
- Control and Optimization Conference
- DyCon at XI Congreso Colombiano de Métodos Numéricos 2017
- DyCon at VII Partial differential equations, optimal design and numerics
- Workshop on Dynamics, Control and Numerics for Fractional PDE’s
- GUE/NGL Study Days
- Matemáticas para el turismo y por doquier (in Spanish)
- Researchers’ Personal Career Development Plan: From Early Stage to Advanced Grants
- Control of Dynamical Systems by Partial Differential Equations
- People in Control
- The newly awarded ERC Advanced Grant DYCON-Dynamic Control
- Conference of Enrique Zuazua at the Federal Technical College of Lausanne
- Workshop on “Recent Advances in PDEs: Analysis, Numerics and Control”
- LIASFMA Autumn School and Workshop on Control and Inverse Problems for Partial Differential Equations
- X ENAMA
- ERC and Mathematics in Spain
- Enrique Zuazua’s scientific outreach site
- Gazteak-euskara binomio dinamikoa: erabilera sustatzeko gakoak
- Optimal control of partial differential equations
- VII Partial differential equations, optimal design and numerics
- Control of Distributed Parameter Systems
- Introduction to the control of Partial Differential Equations
- Workshop on Control & Stabilization of PDEs
- Conference of Enrique Zuazua in the Biennial Congress of the RSME
- Mixtura Matemática by Enrique Zuazua | TEDxLeon
- Umberto Biccari´s PhD Thesis Defense
- Advanced Grant ERC: DYCON- Dynamic Control
- Category: Award
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- Category: Courses
- Category: Highlights
- Category: News
- Category: Past Events
- Category: PhD
- Category: Seminar (DeustoCCM)
- Category: Seminar IKTrace
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- Category: workshop
- Category: Carlos Fonseca
- Category: FAU
- #NdW25 Long Night Sciences: Sentimentanalyse mit Transformern in Aktion
- IMC Seminar: Data-driven system analysis: Polynomial optimization meets Koopman
- A workshop in Speinshart: Scientific center for AI and SuperTech
- From Optimal Control to Reinforcement Learning: A Motivating Example from the Perspective of Linear Quadratic Regulators
- Course: Partial Differential Equation, Control, and Numerics
- Course: Modeling and Analysis in Continuum Mechanics 1
- Master PDE course – Partial Differential Equations, Control and Numerics
- Modeling, Simulation and Optimization SS 2020/2021 (practical course)
- Course: Modeling and Analysis in Continuum Mechanics 2
- Modeling, Simulation and Optimization SS 2020/2021 (practical course)
- OCA’21 Online CIMPA School: Control, Numerics and Machine Learning by E. Zuazua
- Control, Machine Learning and Numerics -Course (China) by E. Zuazua (Complete)
- Course: Transport Phenomena
- Course: Modeling and Analysis in Continuum Mechanics 1
- Lecture notes: A primer on functional Analytic methods for PDEs
- Course: Control, Machine Learning and Numerics (2022)
- Course: Scalar Conservation Laws
- Course: Modeling and Analysis in Continuum Mechanics 2
- Practical course: Modeling, Simulation and Optimization
- Practical course: Modeling, simulation, optimization
- Course: Control and optimization for non-local and fractional differential equations
- Course: A Practical Introduction to Control, Numerics, and Machine Learning
- Course: Transport Phenomena
- Course: Mathematical Modeling in the Life Sciences
- Introduction to control and machine learning
- Course: Scalar Conservation Laws
- Course: Wave Phenomena
- CML: Control, Machine Learning and Numerics
- Math Crash Course
- RACP2024: Recent advances in Control Theory of PDE systems
- Lecture Series: ODL, Introduction to Optimal Control and Machine Learning
- Course: Control and Machine Learning by E. Zuazua
- 100th Session. Seminar in PDEs and Applied Mathematics
- Course: Introduction to Optimal Control and Machine Learning
- Course: Introduction to Control and Machine Learning
- Deep Learning with MATLAB
- CIN-PDE 2023 Erlangen-Shanghai
- TrendsInMaths, Trends in Mathematical Sciences
- CIME 2024
- CIN-PDE 2024 Conference on Control, Inversion and Numerics for PDEs
- MLPDES25, Machine Learning and PDEs Workshop (2025)
- FAU MoD Course: Towards a Mathematical Foundation of Deep Learning: From Phenomena to Theory
- Trends in Mathematical and Data Sciences
- FAU MoD Lecture & workshop: AI for maths and maths for AI
- JLU Short course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
- Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025
- FAU MoD workshop L. Liverani / H. Holthusen
- Workshop: The Mathematics of Scientific Machine Learning and Digital Twins
- FAU MoD Workshop G. Fantuzzi / D. Martonová
- MLPDES26, Machine Learning and PDEs Workshop (2026)
- Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics
- FAU MoD Course: Discovery of singularities with physics-informed neural networks
- Gradient Descent on Wide Neural Networks and Federated Learning
- Machine Learning: Publisher Recommendation Model
- Analysis, control, and singular limits for hyperbolic conservation laws
- Synthetic Training Data Generation for Point Cloud Defects
- AI-based Diagnosis of Combustion Anomalies in Hydrogen Engines
- Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability
- PhD Thesis defense by M. Hernández Salinas
- Robust Creep Control Algorithm with motion shaping and tracking for passenger vehicles
- Synthetic profile generation for energy system planning using Artificial Intelligence
- PhD Thesis defense by A. Alvarez-Lopez
- Moment-sum-of-squares optimization for network dynamics
- Renormalized Solutions in der Optimalsteuerung von Evolutionsgleichungen
- CoDeFeL. Control for Deep and Federated Learning
- Hybrid Control and Estimation of Semi-Dissipative Systems: Analysis, Computation, and Machine Learning
- Control and numerical analysis of complex systems
- Control of multi-particle systems, mean-field limits, and applications to deep learning
- CIN-PDE: Control, inversion and numerics for Partial Differential Equations
- DTN ModConFlex. Modelling and control of flexible structures interacting with fluids
- BaCaTeC. Control and Machine Learning
- Modeling, Robust Design and Control of Gas Networks
- Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks
- Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks
- BaCaTeC. Endowing Artificial Intelligence with Control-Theoretic Guarantees: Data-Based Optimization in Real Time for Dynamic Systems
- SFB Transregio 154
- sherpa.ai | Technological transfer
- e-Learning Fak. Nat.
- DFG-Priority Programme SPP 1679
- Chair for Dynamics, Control, Machine Learning and Numerics – AvH
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Events
- FAU MoD Lecture: Trustworthy AI: Reliable, Explainable, Revisable
- FAU MoD Course: Discovery of singularities with physics-informed neural networks
- IKTrace Seminar: From particles to cells: kinetic modeling of living complexity
- Dynamics, Deep Learning, and Control in Nonlinear PDEs Workshop
- DeustoCCM Seminar: Optimal Image Transport over Sparse Dictionaries
- IKTrace Seminar: When Equations meet Data: Inverse Problems and Hybrid-Cooperative Learning
- FAU MoD Lecture: Reverse typography and the theory of shape: Can old books be brought back to life?
- FAU MoD Lecture: Moving your robotic hand is a matter of time and practice
- IKTrace Seminar: On Operators Inspired by the Fractional Context and their Consequences in Complex Analysis and Control Theory
- FAU MoD Lecture: Breaking Nonconvexity: Consensus-Based Optimization
- Postdoctoral Fellowship in Computational Mathematics
- Enrique Zuazua invited to deliver a Special Section Lecture at ICM 2026
- EZ 65: Control, PDEs and Machine Learning
- FAU MoD Lecture: Hybrid Modeling and System Identification: Past and Future Directions
- DeustoCCM Seminar: Computational implementation and statistical analysis of non-standard cosmological models
- DeustoCCM Seminar: Dark Matter: A Glimpse into the Invisible
- Postdoctoral Researcher (m/f/d) – PDEs & Machine Learning
- FAU MoD Lecture: A data-driven approach to closed-loop control of wound state progression to drive healing outcomes
- Seventh workshop on thin structures
- Research assistant position in “PDE and Machine Learning”
- FAU MoD Lecture: Data Driven Modeling for Scientific Discovery and Digital Twins
- A workshop in Speinshart: Scientific center for AI and SuperTech
- Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics
- Mathematical Foundations of Machine Learning (MFML 2026)
- FAU MoD Workshop G. Fantuzzi / D. Martonová
- MLPDES26, Machine Learning and PDEs Workshop (2026)
- FAU MoD Lecture: A long life: How desirable is it, evolutionarily speaking?
- FAU MoD Lecture: Bridging numerics and scientific machine learning for industrial applications
- MLDS: Machine Learning, Control Theory, and PDEs: Foundations and Advances from Variational Pathologies to Diffusion Models for Generative AI
- Analysis of gradient descent on wide two-layer ReLU neural networks
- Towards the optimization of optical properties of particulate products
- On solving/learning differential equations with kernels
- Course Geometric Beam Theory, though Geometric and Variational Foundations of Continuum Mechanics and Beam Theory
- Lagrange workshop on ML & Control
- x4 Full Professorships Open Topic in Data Science at FAU
- Analytic Properties of Heat Equation Solutions and Reachable Sets
- Some problems in the dynamics of stratified fluids
- Finding solutions of the multi-dimensional compressible Euler equations
- Mini-workshop: Neural Dynamics
- Geometric Flows and Phase Transitions in Heterogeneous Media
- Mini-workshop: Recent Advances in Analysis and Control
- Long-time behaviour of dissipative systems
- CIRM-FBK 2021: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
- SHU Course: Principles of AI for Control and Optimization
- Geodesics and Laplace spectrum on 3D contact sub-Riemannian manifolds: the Reeb flow
- MLIS 2021: Neural Differential Equations, Control and Machine Learning by E. Zuazua
- Thresholds for Nonlinear Semigroups and Time-Inversion
- Assistant Professor Open Topic Tenure Track at FAU
- Numerical methods for random Helmholtz problem
- W1 Prof. for Applied Mathematics at FAU -Open Call
- ERC DyCon Postdoctoral open position 2021-2022
- Modeling climate change: A dynamical systems approach
- FBP 2021: 15th International Conference on Free Boundary Problems: Theory and Applications 2021
- 3 days on Evolution PDEs 2021
- Summer short course (China): Control, Machine Learning and Numerics by E. Zuazua
- Some remarks on the Turnpike property -INdAM workshop
- OCA’21 Online CIMPA School
- On Problems of Dynamic Optimal Nodal Control for Gas Networks by M. Gugat
- Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua
- Dynamics and Control of a guiding Model – ConDyS workshop 2021
- Networks, Waves and Control
- Photonic band gaps of optimized crystal and disordered networks
- Learning Energy-Based Models for Image Reconstruction
- Configurational Mechanics: Views and Perspectives
- Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces
- Optimal Control meets graph-based methods: Autonomous driving on Turnpikes
- Space-discretizations of reaction-diffusion SPDEs
- Asymptotic behavior of one-dimensional wave equations with set-valued boundary damping
- Enrique Zuazua: TOP TALENT CIENCIA
- Paris Bachelier Seminar: Turpike Control and Machine Learning
- Computational Strategies for the Control of Collective Dynamics
- Borjan Geshkovski -PhD Thesis defense: “Control in Moving Interfaces and Deep Learning”
- MIP and/or PDE optimization in the context of gas network optimization
- ConDyS – Workshop on Control of Dynamical Systems
- Mini-workshop: Recent Advances in Analysis and Control (II)
- Mini-workshop: “Recent Advances in Analysis and Control”
- Learning to benchmark
- Workshop on Control Theory and Partial Differential Equations
- Embedded optimization and nonlinear model predictive control
- StudOn AG Neural Differential Equations, Control and Machine Learning
- Variational problems on L-infinity and continuum limits on graphs
- MLIS 2021. 3rd International Conference on Machine Learning and Intelligent Systems
- Mean-field limit for non-exchangeable multi-agent systems
- Dynamics of a kinetic model from evolutionary biology
- Neural Differential Equations, Control and Machine Learning
- INdAM Workshop 2021: “Analysis and Numerics of Design, Control and Inverse Problems”
- Felix Klein: A Legacy of Innovation in Mathematics and Education
- Some aspects of cross diffusion equations
- Günter Leugering’s Farewell/Abschiedsfeier
- Adaptive Computation of Sparse Solutions
- Cafés Scientifique de la Culture: “Hire me, I’m a mathematician”
- Chaire Jean-Morlet 2021: Dynamics and Control of a guiding Model by E. Zuazua
- Optimal sampling in least-squares methods – applications in PDEs and inverse problems
- On Convex Type Constrained Problems of First Order and Some Applications
- EECI-IGSC 2022: Machine Learning, Optimization and Control
- 36th SIDIM – Research in Mathematics
- Open call at FAU: Project Manager ECMD
- (Non)local phase coexistence models
- Coloquio MTM UFSC: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
- COST workshop: Mathematical models for interacting dynamics on networks (mat-dyn-net)
- Open World PDE Seminar: Inverse design for conservation laws and Hamilton–Jacobi equations
- Solutions of the Euler Equation with concentrated vorticity
- 6i Dirs Open Call: PhD researcher position
- ERC DyCon Postdoctoral position
- One Nonlocal World, Opening Event
- Frohe Weihnachten Merry Christmas 2020
- Unilateral bounds for nonlinear semigroups and time-inversion
- FAU CAA-AvH Open call PhD/Postdocs
- A non-controllability result for the half-heat equation on the whole line based on the prolate spheroidal wave functions and its application to the Grushin equation
- Spatially inhomogeneous evolutionary games
- Stability and asymptotic properties of a linearized hydrodynamic medium model for dispersive media in nanophotonics
- Nonlinear and measure-theoretic methods for large biological networks
- Positivity-preserving methods for population models
- Fast approximation on the real line
- Stabilization problem with oscillating inputs under nonlinear controllability conditions
- A PDE describing Roots of Polynomials under Differentiation
- Towards a controllability analysis of multiscale systems: Application of the set-theoretic approach to a semi-batch emulsion polymerization process
- FAU Spring School on “PDEs and Uncertainty”
- Control of reaction-diffusion models arising in Social and Biological Sciences
- Present Research Trends in Conservation Laws
- StudON: Crash Course in Monte Carlo methods (1st session)
- Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
- CMAI colloquium – Turnpike Control and Deep Learning by E. Zuazua
- Dynamics, Numerics and Control of Reaction-Diffusion Models arising in Social and Biological Sciences
- Numerical simulation of nonlinear Schrödinger equations
- Stochastic optimization methods for the simultaneous control of parameter-dependent systems
- Turnpike Control and Deep Learning at IITK by E. Zuazua
- Seminar on PDE and Applied Mathematics
- Control y Diseño Óptimo de Estructuras y Fluidos by Enrique Zuazua
- CCM Course: Inverse problems in Reinforcement Learning
- Machine Learning and Control Theory Research Cluster by E. Zuazua
- Large-time asymptotics in Deep Learning
- Reaction-diffusion in Social and Biological Sciences: Dynamics and ResNet Control by Enrique Zuazua
- Optimal Control, Optimal Transport and Data Science
- IGSC2021
- EECI-IGSC 2022: Machine Learning, Optimization and Control by Prof. E. Zuazua and Prof. X. Yuan
- Variational neural annealing
- Control of reaction-diffusion models arising in Social and Biological Sciences
- Turnpike Control and Deep Learning
- COIA 2020
- Inverse design for conservation Laws and Hamilton-Jacobi equations
- Mini-workshop on Robots Learning, Optimization and Control
- State Estimation – the Role of Reduced Models
- Control and regularity for non-local transport equations
- Statistical inverse problems and gradient flow structures in the space of probability measures
- PDEs: Italia vs España
- Deep Learning and Optimal Control with Fractional Operators
- ERC DyCon open positions
- Building bridges Lévy-walk way
- Estimation of extreme event probabilities in systems governed by PDEs
- Variational principles in a stochastic setting
- PAA Journal: Open Submissions
- Conference in honor Serge Nicaise 60th birthday: Networks, Waves and Control By E. Zuazua
- Optimal Control and the Turnpike property by M. Gugat
- Optimal Control of Deep Neural Networks by E. Zuazua
- ACDM -a fully open access journal: Open for submissions
- Decod2021: Heat equations with memory: flow decomposition, constraints and control by E. Zuazua
- NADu22: Analysis, PDEs and Applications celebrating 60th anniversary of professor Nenad Antonić
- Neural network and partial differential equations
- GSPT for Fast-Slow PDEs
- FAU DCN-AvH #adventKalender
- Henriette Herz Scouting Programme, Alexander von Humboldt Foundation
- Modeling, simulation and control of multi-physical systems: A change of paradigm
- ACMAM 2022: Control and Machine Learning by E. Zuazua
- Mini-Workshop “Recent Advances in Analysis and Control”
- Mini-Workshop on Hyperbolic Problems
- The Relativistic Vlasov–Maxwell System with External Electromagnetic Fields
- A Multistage Mosquito-Centred-Mathematical Model for Malaria which accounts for Mosquito Gonotrophic Cycle Contributions
- Modeling of a Virus Pandemicin a Globally Connected World: A multi-scale active particles approach
- Modelling choices in model-based Reinforcement Learning
- Deep Learning and Computations of PDE
- Controllability of nonlocal conservation laws on bounded domain
- Frohes Neues Jahr 2022
- Seminar Series: Deep Learning in Control
- DeustoCCM Seminar: Partially dissipative hyperbolic systems, results and perspectives
- On adversarial training and perimeter minimization problems
- II [B_1^-] Short-course: Control and Machine Learning by E. Zuazua
- Smart control. Two converging points of view
- Workshop on Mathematical Data Science, Control and Optimization – Karl Kunisch 70th birthday
- MASSAI 2022: Mediterranean and African Summer School on Artificial Intelligence
- Explicit decay rates for discrete velocity BGK models
- Numerical algorithms as a tool that binds science disciplines with particular emphasis on matrix algorithms
- Domènec Ruiz-Balet -PhD Thesis defense: “Some control aspects in Mathematical Biology and Deep Learning”
- Contrôle et apprentissage automatique
- Linearized instability principle for neutral FDEs with state-dependent delays
- Deep Learning with MATLAB
- Quantum algorithms for computing observables of nonlinear partial differential equations
- Robust Protection against Uncertainties in Discrete-Continuous Optimization
- Some observations on the turnpike property and optimal actuator design
- Deep redatuming for PDE and inverse problems
- International Women’s day 2022
- ICPAMS-2022: Control and Machine Learning by E. Zuazua
- Optimal design of sensors and actuators by E. Zuazua
- IFAC CPDE 2022 Course: A Practical Introduction to Control, Numerics and Machine Learning
- Renewable Meet 2022
- Asia-Pacific Analysis and PDE Seminar
- Open position for PhDs
- Open position for Postdoctoral researchers
- Networks and Neural Networks
- Physics-inspired equivariant machine learning
- Quantitative rapid stabilization of some PDE models
- Frohe Ostern – Happy Easter 2022
- FAU DCN-AvH at the visit of the Embassy of Uruguay in Erlangen (BAYLAT)
- Thesis defense by Talha Anwar
- Nonlocal regularization of conservation laws
- Error estimates for the time integration of Maxwell equations on heterogeneous media
- ACIPDif22: Optimal controller design via Brunovsky’s normal form by E. Zuazua
- Mini-Workshop “Model Reduction and Control”
- Enrique Zuazua: 2022 W.T. and Idalia Reid Prize by SIAM
- Benasque Workshop-Summer School: PDE’s, Optimal Design and Numerics
- Mini-Workshop “Calculus of Variations and Functional Inequalities”
- Optimal Control Design for Fluid Mixing: from Open-Loop to Closed-Loop
- Glowinski: Control, Numerics and beyond
- Open position for Chair Secretary
- Kolloquium: “Emmy Noether (1882-1935): Mathematician Extraordinaire”
- M2A2 Symposium: Control of reaction-diffusion models by E. Zuazua
- Mathematical Colloquium: Qualitative and numerical analysis of differential-algebraic equations, and applications
- Mini-workshop: “Recent Advances in Analysis and Control”
- Mini-workshop: “Recent Advances in Analysis and Control”
- Control and Machine Learning by E. Zuazua
- ICDSCA 2022: Control and Machine Learning by E. Zuazua
- Turnpike Properties for Stochastic Linear-Quadratic Optimal Control Problems
- Fields Medals 2022
- Asymptotic analysis of integrable nonlinear partial differential equations by M. Filipkovska
- Control and Machine Learning by E. Zuazua
- FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time
- Optimal design of sensors and actuators by E. Zuazua
- ICMAM 2022 Latin America: Control and Machine Learning by E. Zuazua
- ICCHA2022: Control and Machine Learning by E. Zuazua
- M4CSA: Control and Machine Learning by E. Zuazua
- Frontiers in Mathematics: Control and Machine Learning by E. Zuazua
- FAU DCN-AvH Seminar: Large-amplitude modulation of periodic traveling waves
- Open position for Chair Secretary
- FAU DCN-AvH Seminar: Remarks on the long-time dynamics of 2D Euler
- FAU DCN-AvH Seminar: Natural gradient in evolutionary games
- Machine Learning and its applications
- II Workshop on Control Theory and Partial Differential Equations
- Workshop on Control Problems
- Machine learning for MR image reconstruction: From first results to ongoing challenges
- Discovering scaling laws for heat transport with convex optimization
- Ensemble control of quantum systems by adiabatic evolution
- Compensated Integrability and Conservation Laws
- Theory of homogeneous dynamical systems and their application
- Mini-workshop: Analysis, Numerics, and Control
- Gaussian random interface models and discrete Green’s functions
- Lagrangian controllability of the incompressible Navier-Stokes equations
- FAU MoD Lecture: Applications of AAA Rational Approximation
- Mini-workshop: Analysis, Numerics and Control
- Controlling the spread of invasive biological species
- MLU Mathematisches Kolloquium (Halle): Control and Machine Learning by E. Zuazua
- GAFEVOL 2022: Dissipation, Decay and Hypocoercivity for Hyperbolic Systems by E. Zuazua
- GERAD – Control and Machine Learning by E. Zuazua
- PhD studentship in Data-Driven Modelling and Control (DTNModConFlex)
- On the synchronization of observer systems for isothermal flow in gas networks by M. Gugat
- Consensus-based High Dimensional Global Non-convex Optimization in Machine Learning
- Regularity and mixing for Advection-Diffusion equations
- LSU – Control and Machine Learning by E. Zuazua
- Energy method for nonlocal Levy operators and stability of weak solutions
- Towards a better description of sea states
- Mini-workshop: Variational Methods, Functional Inequalities, and Shape Optimization
- FernUniversität – Workshop Geometric Aspects of Evolution and Control
- A Deep Learning approach to Reduced Order Modeling of Parameter dependent Partial Differential Equations
- Conservation laws on a star-shaped network
- Discussion meeting | Waves: Propagation, numerics and control by E. Zuazua
- Shape optimization problems in thermal insulation with thin insulating layers
- Event-Triggered Control Using a Positive Systems Approach
- Error bounds for physics-informed (and) operator learning for PDEs
- UC San Diego – Control and Machine Learning by E. Zuazua
- Parabolic trajectories and the Harnack inequality
- Inviscid limits of the compressible Navier-stokes equation to small BV solutions to Euler
- FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer”
- Observer Systeme für Gasnetze by M. Gugat
- Optimal Boundary Control for the semilinear Transport Equation under Uncertainty: A Turnpike Result
- Ha(pi) day 2023!
- Mini-workshop: Analysis, Numerics and Control
- CIN-PDE 2023: Workshop on Control, Inversion and Numerics for PDEs
- 9th International Conference on Modeling, Simulation and Applied Optimization
- Frohe Ostern – Happy Easter 2023
- 4th AFOSR Monterey Training Workshop on Computational Issues in Nonlinear Control
- Hydrogen: Need for action and opportunities
- Nodal control and probabilistic constrained optimization using the example of gas networks
- FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?
- Learning of Dynamic Processes
- Understanding the Role of Network Structure in Controlling Complex Networks
- Differentiable Physics Simulations for Deep Learning
- Global existence for the 2D Kuramoto-Sivashinsky equation
- Mini-workshop: Analysis, Numerics and Control
- Optimization and Control in Burgundy
- Numerics, Dynamics, Control and Machine Learning
- An a posteriori Probabilistic Robustness Check for Deterministic Optimal Controls
- FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function
- TYAN-Humboldt Workshop in Mathematics
- Mini-workshop: Analysis, Numerics and Control
- Control, Cibernética e Inteligencia Artificial
- Open positions at FAU DCN-AvH
- FGS 2024 French-German-Spanish Conference on Optimization 2024
- Probabilistic Constrained Optimization on Gas Networks
- Port-Hamiltonian approach to interacting particle systems
- FAU DCN-AvH Mini-workshop: Analysis, Numerics and Control
- Large Data Solutions to 1-D Hyperbolic Systems, Ill-Posedness, and Convex Integration
- FAU DCN-AvH Mini-workshop: Analysis, Numerics and Control
- Contemporary advances in nonlinear PDE and the Calculus of Variations
- Mathematical Opportunities in Digital Twins (MATH-DT) Workshop
- PhD Thesis defense by N. de Nitti
- FAU MoD Lecture: Free boundary regularity for the obstacle problem
- RACP2024: Recent advances in Control Theory of PDE systems
- Zurich Colloquium in Applied and Computational Mathematics
- EUCCO 2023. An a posteriori Probabilistic Robustness Check for Deterministic Optimal Controls
- JLU: Control, Cybernetics and Artificial Intelligence
- PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks
- AI techniques in guidance control problem and space missions – Control and Machine Learning
- CPDEs2023: Optimal placement of sensors and actuators
- Virtual meeting BAYLAT – FAU DCN-AvH
- EUCCO 2023. Random Batch Methods for Optimal Control of 1D Hyperbolic Systems
- ICMAM 2023: Dissipation, Decay and Hypocoercivity for Hyperbolic Systems
- FGV EMAp Control and Machine Learning
- Data-driven system analysis: Polynomial optimization meets Koopman
- EECI-IGSC 2024: Control and Machine Learning
- FAU DCN-AvH at #NdW23 Long Night of Sciences
- Hybrid parabolic-hyperbolic property for heat equations with memory
- Hyperbolic Approximation of the Navier-Stokes-Fourier system: hypocoercivity and hybrid Besov spaces
- FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics
- CPDEs2023: Recent progresses and open problems in controlling magnetizable piezoelectric systems
- FAU MoD Lecture Series. Special November 2023
- ICMAM Latam Satellite Conference: Control and Machine Learning
- A survey on partially dissipative systems: global well-posedness and strong relaxation limit in the critical regularity setting
- CIME summer school on PDEs, Control and Deep Learning
- Hyperbolic approximations in fluid mechanics: Hypocoercivity and hybrid Besov spaces
- Tutorial lecture series on “Advanced Topics Systems Control”
- ML&OC24: Machine Learning and Optimal Control summer school
- RAMSA 2024
- Advances in Controlling Magnetizable Piezoelectric Systems: PDE Models, Model Reductions, and Interactive Simulations
- Benasque X Workshop-Summer School 2024: Partial differential equations, optimal design and numerics
- Lagrange and Lyapunov stability of degenerate differential equations
- Workshop on recent advances in kinetic theory and related models
- FAU DCN-AvH #adventsKalender2023
- Randomized POD-Beyn algorithm for nonlinear eigenvalue problems – analysis and perspectives
- Oberwolfach Seminar: Control and Machine Learning
- Oberwolfach Seminar: Polynomial Optimization for Nonlinear Dynamics: Theory, Algorithms, and Applications
- IUI Conference Mathematical Modeling: Theory and Applications
- IMS 2023 Control and Machine Learning
- Trends in Mathematical Sciences
- FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning
- Postdoctoral Positions in Mathematics at FAU DCN-AvH (2024)
- PhD Position in Mathematics at FAU DCN-AvH (2024)
- Discrete Carleman estimates and application to controllability for a fully-discrete parabolic operator with dynamic boundary conditions
- TRR 154 Summer School on Optimization, Uncertainty and AI
- GAETA 2024
- Non-convex aggregative optimization problems and their mean-field relaxation
- Contrôle et apprentissage automatique
- DEDS2024
- Winter school: Model Order Reduction Methods for Control and Machine Learning
- CIRM VAMMMS Workshop: Variational Analysis, Models and Methods in Measure Spaces
- EPFL: Control and Machine Learning by E. Zuazua
- Energy Estimates, Semigroups, and The Weakly Damped Wave Equation
- CIN-PDE 2024 Conference on Control, Inversion and Numerics for PDEs
- ODL: Introduction to Optimal Control and Machine Learning
- Gas Network Modelling and Optimal Locations for Control under Uncertainty
- COIA 2024
- FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems
- Solving Navier Stokes Equations with Mimetic Operators
- Introduction to shape optimization and some relevant problems
- FAU MoD Lecture: Thoughts on Machine Learning
- FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning
- Efficient federated learning via the alternating direction method of multipliers
- A shape optimization problem for improving the computational capability of the twin vortex computer
- Moment-Sum-of-Squares relaxations for variational problems
- Clustering in Pure-Attention Hardmax Transformers
- Optimal placement of sensors and actuators
- FAU MoD seminar: Verifying Deep Reinforcement Learning Systems
- FAU DCN-AvH Jr. Seminar
- ICOP 24: Optimal placement of sensors and actuators
- ERC Advanced Grant CoDeFeL project Postdoc positions in “Control and Machine Learning”, Erlangen (Germany)
- MPDE 2024: Numerical approximation of Hardy and Sobolev constants
- FAU MoD Lecture: Promoting Gender Equity in Mathematics: Strategies and Solutions
- FAU DCN-AvH Seminar
- PGMODAYS 2024: Control and Machine Learning
- Postdoc position in Control and Machine Learning, Erlangen (Germany)
- FAU MoD Lecture: Discovering and Communicating Excellence
- CMS: Control and Machine Learning by E. Zuazua
- FAU DCN-AvH Seminar: Enriched Finite Elements for Wave Propagation and Heat Diffusion using the Partition of Unity Method
- FAU DCN-AvH Seminar: Generalization bounds for neural ODEs and Clustering in discrete-time self-attention
- FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions
- FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition
- ERC Advanced Grant CoDeFeL project PhD & Postdoc positions in “Control and Machine Learning”, Erlangen (Germany) and Bilbao (Spain)
- ICMAM 2024: Data Representation by Neural Networks: A control perspective by E. Zuazua
- Control and Machine Learning
- MMRE 2024 Workshop
- MathConnect 2024
- FAU DCN-AvH Seminar: Optimal Regularity for the 2D Euler Equations in the Yudovich class
- 100th Session. Seminar in PDEs and Applied Mathematics
- Course: Introduction to Optimal Control and Machine Learning
- ICAMDS24: Control and Machine Learning by E. Zuazua
- FAU MoD Lecture Series. Special December 2024
- XVII ENAMA: Control and Machine Learning by E. Zuazua
- PGMODAYS 2024: Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs
- EECI-IGSC 2025 (M18): Control and Machine Learning
- Distinguished CMAI Colloquium: Control and Machine Learning
- IMC Seminar: Data-driven system analysis: Polynomial optimization meets Koopman
- FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes
- DMV: Gauß in Erlangen
- CMS: Optimal control problems with probabilistic constraints by M. Gugat
- FAU MoD Lecture: Control Design for Mixing in Incompressible Flows
- FAU DCN-AvH Jr. Seminar: How to steer a fleet of agents by controlling only a few of them
- FAU MoD Course: Towards a Mathematical Foundation of Deep Learning: From Phenomena to Theory
- An introduction to the turnpike phenomenon with examples and links to recent results by M. Gugat
- Tracking control
- FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work?
- ERC Advanced Grant CoDeFeL project (02) Postdoc positions in “Control and Machine Learning”, Erlangen (Germany)
- Machine Learning and PDEs Workshop #MLPDES25
- Humboldt Network meeting 2024 (Erlangen)
- FAU MoD Lecture S. Jin / N. Liu (double session)
- CIRM Workshop: Mathematical and Computational Foundations of Digital Twins
- #NdW25 Long Night Sciences: Sentimentanalyse mit Transformern in Aktion
- Frontiers of Mathematics lecture: Control and Machine Learning by E. Zuazua
- Inverse design for parabolic and hyperbolic problems
- FAU DCN-AvH Mini-workshop
- ACOMEN2025
- ERC Advanced Grant CoDeFeL project PhD positions in “Control and Machine Learning”, Erlangen (Germany)
- Langtangen Seminar: Control and Machine Learning by E. Zuazua
- The Location Problem for Compressor Stations in Pipeline Networks
- ICMAT: Control and Machine Learning by E. Zuazua
- HB Conference: Modelling, Machine Learning and Control
- FAU MoD Lecture: AI for maths and maths for AI
- ERC CoDeFeL (April 2025) Postdoc positions in Control and Machine Learning
- The Mathematics of Scientific Machine Learning and Digital Twins
- Trends in Mathematical and Data Sciences
- FAU MoD Lecture: Exemplary applications of Machine Learning and optimization in quantum chemistry
- vocatium Fürth 2025
- #NdW25 Long Night Sciences: Das Turnpike-Phänomen in Gasnetzen
- FAU MoD Lecture: Quantum firmware: optimal control for quantum processors
- LSMS 2025 – PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
- FAU MoD Lecture: Finding the optimal model complexity of whole-brain models and digital twins
- JLU Short course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
- Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025
- FAU MoD Lecture: AI Components in PDE Solvers
- FAU MoD Lecture: Disruption in science and engineering happens at scale
- ICBS2025: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
- FAU MoD workshop L. Liverani / H. Holthusen
- CIRM Workshop – HYCO: A Hybrid-Cooperative Strategy for Data-Driven PDE Model Learning
- Trends in Mathematical Sciences II (2026)
- MMAR2025: The Exponential Turnpike Property for Neural Differential Equations
- PhD Thesis defense by M. Hernández Salinas
- DeustoCCM Seminar: Research on Control Problems of Several Types of Infinite-Dimensional Systems
- DeustoCCM Seminar: Developing Mathematical and Physical Tools for Multiscale Dynamical Systems. Applications to Neurophysiological Data
- Open PhD position in Applied Mathematics at ERC CoDeFeL at DeustoTech, University of Deusto
- DeustoCCM Seminar by R. Orive and A. Alvarez
- DeustoCCM Seminar: Universal approximation and convexified training in neural networks
- DeustoCCM Seminar by R. Lecaros and J. Lopez
- DeustoCCM Seminar: Soluciones de viscosidad: Teoría y aplicaciones
- DeustoCCM Seminar by R. Morales and K. Lyu
- Open PhD position in Applied Mathematics at ERC CoDeFeL at DeustoTech, University of Deusto
- DeustoCCM Seminar by L. Ignat and E. Zuazua
- Postdoc at DASEL project -Open position
- Postdoc at DASEL project -Open position
- FAU MoD Lecture: Applications of AAA Rational Approximation
- FAU DCN-AvH Seminar: Natural gradient in evolutionary games
- Workshop on Control Problems
- ICCHA2022: Control and Machine Learning by E. Zuazua
- FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time
- Control y Aprendizaje Automático by E. Zuazua
- CCM double-seminar: "Optimal control of mixed local-nonlocal parabolic PDE" and "Nonlinear Feedback Control Design for Fluid Mixing"
- Positivity of infinite-dimensional linear systems
- Enrique Zuazua: 2022 W.T. and Idalia Reid Prize by SIAM
- FAU DCN-AvH Mini-workshop: “Recent Advances in Analysis and Control”
- Deep redatuming for PDE and inverse problems
- NADu22: Analysis, PDEs and Applications celebrating 60th anniversary of professor Nenad Antonić
- Optimal design of sensors and actuators by E. Zuazua
- Mini-Workshop “Calculus of Variations and Functional Inequalities”
- Benasque Workshop-Summer School: PDE's, Optimal Design and Numerics
- Open position for Postdocs
- DeustoCCMSeminar: Null controllability of a nonlinear age, space and two-sex structured population dynamics model
- Seminar in Partial differential equations
- Controllability of transport network systems by the regular linear systems approach
- DeustoCCM Seminar: Fefferman-Stein Theory for Oscillating Singular Integrals
- Controllability in Lotka-Volterra competitive systems with positive controls
- CCM double-seminar: "The RBM-MPC Strategy for linear-quadratic optimal control" and "Controllability of transport network systems by the regular linear systems approach"
- Open position for PhDs
- Contrôle et apprentissage automatique
- Domènec Ruiz-Balet -PhD Thesis defense: "Some control aspects in Mathematical Biology and Deep Learning"
- MASSAI 2022: Mediterranean and African Summer School on Artificial Intelligence
- Smart control. Two converging points of view
- II [B_1^-] Short-course: Control and Machine Learning by E. Zuazua
- A Fisher-KPP model with a fast diffusion line in periodic media
- CCM Seminar: Partially dissipative hyperbolic systems, results and perspectives
- Mini-Workshop "Recent Advances in Analysis and Control"
- Seminar Series: Deep Learning in Control
- ACMAM 2022: Control and Machine Learning by E. Zuazua
- Ghent Methusalem Junior Seminar
- Fourier multipliers, Hausdorff measure and classification with scattering transform
- Humboldt Research Fellowships – Henriette Herz Scouting Programme
- Decod2021: Heat equations with memory: flow decomposition, constraints and control by E. Zuazua
- Open call Predoctoral position: Kinetic Equations and Learning Control
- Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua
- A mathematical model for civil wars: a new Lotka-Volterra competitive system
- Postdoc at ERC DyCon project -Open position
- ERC DyCon project: PhD -Open position
- A Fisher-KPP model with a fast diffusion line in periodic media by E. Affili
- FAU DCN-AvH Seminar: Geodesics and Laplace spectrum on 3D contact sub-Riemannian manifolds: the Reeb flow
- CIRM-FBK 2021: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
- FBP2021 | Inverse design for Conservation laws and Hamilton-Jacobi equations by E. Zuazua
- SHU Course: Principles of AI for Control and Optimization
- Course on Spherical Geometry by Elisa Affili
- 33rd. CBM - Brazilian Colloquium of Mathematics
- ERC DyCon Postdoctoral open position 2021-2022
- Summer short course (China): Control, Machine Learning and Numerics by E. Zuazua
- 3 days on Evolution PDEs 2021
- Control of reaction-diffusion equation with state constraints -INdAM Workshop
- Multilevel Selective Harmonic Modulation via Optimal Control -INdAM workshop
- OCA'21 Online CIMPA School
- Enrique Zuazua: TOP TALENT de la CIENCIA
- StudOn AG Neural Differential Equations, Control and Machine Learning
- Borjan Geshkovski PhD Thesis defense: "Control in Moving Interfaces and Deep Learning"
- FAUCAASeminar: Mean-field limit for non-exchangeable multi-agent systems
- Neural Differential Equations, Control and Machine Learning
- CCM double-seminar: Research Topics: control questions in Lotka-Volterra and cross-diffusion models and Generative modelling and normalizing flows
- Jornada de Primavera en EDPs
- Cafés Scientifique de la Culture: "Hire me, I'm a mathematician" by E. Zuazua
- Chaire Jean-Morlet 2021: Dynamics and Control of a guiding Model by E. Zuazua
- BENASQUE IX workshop 2021: Partial differential equations, optimal design and numerics
- Unilateral bounds for nonlinear semigroups and time-inversion by E. Zuazua
- Coloquio MTM UFSC: Inverse design for conservation laws and Hamilton-Jacobi equations by E. Zuazua
- 36th SIDIM – Research in Mathematics
- Open call at FAU: Project Manager ECMD
- FAUCAASeminar: Spatially inhomogeneous evolutionary games
- FAU-CAAAvH Seminar: Stability and asymptotic properties of a linearized hydrodynamic medium model for dispersive media in nanophotonics
- COST workshop: Mathematical models for interacting dynamics on networks (mat-dyn-net)
- IEMSC-21 Neural Differential Equations, Control and Machine Learning. Plenary Speech by Enrique Zuazua
- Inverse design for conservation laws and Hamilton–Jacobi equations by E. Zuazua
- ERC DyCon Postdoctoral position
- 6i Dirs Open Call: PhD researcher position
- The interplay of Deep Learning and Control Theory
- Turnpike Control and Deep Learning
- 3rd BYMAT: Some recent results about the controllability of the heat equation
- Inverse design for conservation Laws and Hamilton-Jacobi equations
- HKSIAM Seminar: Turnpike Control and Deep Learning by Enrique Zuazua
- CMAI Colloquium - Deep Learning in MATLAB
- Hire me, I'm a matematician by Enrique Zuazua
- XX Semana de la Ciencia
- Averaged dynamics and control for heat equations with random diffusion by Jon Asier Bárcena Petisco
- PDE's: Italia vs España
- IGSC 2022 - Optimization and Machine Learning in Control by Enrique Zuazua
- Large-time asymptotics in Deep Learning by Borjan Geshkovski
- Reaction-diffusion in Social and Biological Sciences: Dynamics and ResNet Control by Enrique Zuazua
- CCM Seminar: Averaged dynamics and control for heat equations with random diffusion
- ADENA 2020 - Turnpike control and deep learning
- Control y Diseño Óptimo de Estructuras y Fluidos by Enrique Zuazua
- Seminar on PDE and Applied Mathematics
- 3rd BYMAT Conference - Bringing Young Mathematicians Together
- Machine Learning and Control Theory Research Cluster by E. Zuazua
- CCM Course Session 4: Inverse problems in Reinforcement Learning
- CCM Course Session 3: Q-Learning
- CCM Course Session2: From discrete to continuous models, Hamilton-Jacobi-Bellman equations
- CCM Course Session 1: Introduction and Dynamic Programming Methods
- Turnpike Control and Deep Learning at IITK by E. Zuazua
- 2nd Symposium on Machine Learning and Dynamical Systems
- CMAI colloquium - Turnpike Control and Deep Learning
- Control of reaction-diffusion models arising in Social and Biological Sciences
- CAA seminar: Stochastic optimization methods for the simultaneous control of parameter-dependent systems
- CAA seminar: Numerical simulation of nonlinear Schrödinger equations
- MathODS: Mathematics of Data Science conference
- Dynamics, Numerics and Control of Reaction-Diffusion Models arising in Social and Biological Sciences
- CMAI colloquium: Practical Deep Learning in the Classroom
- StudON: Crash Course in Monte Carlo methods (1st session)
- Workshop: Optimal Control, Optimal Transport and Data Science
- CCM Webinar (double session): Swinging up the Double Pendulum & Data driven COVID modeling
- Dario Pighin PhD Thesis defense: "Long time control with applications"
- Webinar: Control of reaction-diffusion models arising in Social and Biological Sciences
- INdAM Workshop 2021: “Analysis and Numerics of Design, Control and Inverse Problems”
- Math Encounter
- Data-driven Reduced Order Models -Session 1/2
- Data-driven Reduced Order Models -Session 2/2
- 4th UCoCoS workshop
- Controllability Session 2/2
- Controllability Session 1/2
- Robust Control of Incompressible Flows
- Reaction-Diffusion Models: Dynamics, Control, and Numerics
- Deep Learning and Natural Language Recognition
- Control and analysis of PDE systems
- V Congreso de Jóvenes Investigadores RSME Castelló 2020
- Micromechanical modeling of rough interface behavior
- FAU Spring School on "PDEs and Uncertainty"
- 7th Workshop on Mathematical Analysis
- 6iDirs - PhD researcher on Control and Reinforcement Learning in Stochastic Processes
- 1st call 6i DIRS- Marie Sklodowska-Curie COFUND
- Reaction-Diffusion Models: Dynamics, Control, and Numerics
- Optimal Control & Hamilton-Jacobi Equation
- Mixing length computations for tracer flow in heterogeneous porous media by multiscale and lagrangian procedures
- Conference on electrical networks of the future: challenges and solutions
- Multiplicative controllability for parabolic equations
- WordPress Guide for Academic Information promotion
- Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
- ApplMath 18
- SCINDIS-2018
- Analysis, Control and Inverse Problems for PDEs
- Workshop on Dynamics, Control and Numerics for Fractional PDEs
- Measure differential equation
- ConFlex – Second Network Meeting
- LIA COPDESC – Workshop Calculus of Variations and Nonlinear PDEs
- Shape optimization, control and inverse problems for PDEs
- Rotors Imbalance Suppression by Optimal Control
- 3rd IFAC Workshop 2019
- International Conference on Elliptic and Parabolic Problems
- OFSMP 2019
- International Summer School on Mathematical Control, EECI
- Workshop & Summer School – Partial Differential Equations, Optimal Design and Numerics
- DEA 2019: Dynamics, Equations and Applications
- Control and stabilization issues for PDE
- Contrôle et Stabilisation des EDP
- Workshop: My presentations in a new way
- COIA 2020
- INdAM Workshop: Present Research Trends in Conservation Laws
- GE2MI Research Network conference
- FAU International Day
- "Jakin eta Erein" (Know and Sow)
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