Academy at FAU DCN-AvH
Resources from our courses and lectures, PhD and master thesis, internships reports, workshops, and slides from our events and talks.
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Courses
Course: Introduction to Control and Machine Learning
Authors: Instructor, Enrique Zuazua, Contributors: Martín Hernández Salinas, Zhengping Ji, Yongcun Song, Ziqi Wang
Date: March 2026
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Introduction to Optimal Control and Machine Learning
Authors: Enrique Zuazua
Date: October 21-23, 2024
Institution: IMUS, University of Sevilla
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100th Session. Seminar in PDEs and Applied Mathematics
Authors: Enrique Zuazua
Date: October 7, 2024
Institution: IMUS, University of Sevilla
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Course: Control and Machine Learning
Authors: Enrique Zuazua
Date: July, 2024
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Lecture Series: ODL, Introduction to Optimal Control and Machine Learning
Authors: Enrique Zuazua
Date: March 19 – 21, 2024
Institutions: UM6P’s VANGUARD Center, Université Cadi AYYAD, University Côte d’Azur, GE2MI
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RACP2024: Recent advances in Control Theory of PDE systems
Authors: Enrique Zuazua
Date: February 12 – 15, 2024
Institutions: IISER Kolkata, TIFR CAM, IIT Bombay
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Math Crash Course
Authors: Michael Schuster
Date: June, 2023
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CML: Control, Machine Learning and Numerics
Authors: Enrique Zuazua, Yongcun Song
Date: April – July 2023
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Wave Phenomena
Authors: Enrique Zuazua, Nicola De Nitti
Date: April – July 2023
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Scalar Conservation Laws
Authors: Enrique Zuazua, Nicola De Nitti
Date: April – July 2023
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Introduction to control and machine learning
Authors: Enrique Zuazua, Yongcun Song
Date: Winter Semester 2022/2023
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Mathematical Modeling in the Life Sciences
Authors: Enrique Zuazua, Nicola De Nitti
Date: October 2022 – March 2023
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Transport Phenomena
Authors: Enrique Zuazua, Nicola De Nitti
Date: October 2022 – March 2023
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: A Practical Introduction to Control, Numerics, and Machine Learning
Authors: Enrique Zuazua, Daniël Veldman
Date: Summer 2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Control and optimization for non-local and fractional differential equations
Authors: Enrique Zuazua, Umberto Biccari
Date: August 1 – 12, 2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Practical course: Modeling, simulation, optimization
Authors: Daniël Veldman
Date: Summer semester 2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Practical course: Modeling, Simulation and Optimization
Authors: Enrique Zuazua, Daniël Veldman
Date: Summer semester 2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Authors: Enrique Zuazua, Daniël Veldman
Date: Summer semester 2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Modeling and Analysis in Continuum Mechanics 2
Authors: Enrique Zuazua, Nicola De Nitti
Date: Summer semester 2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Scalar Conservation Laws
Authors: Enrique Zuazua, Nicola De Nitti
Date: Summer semester 2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Control, Machine Learning and Numerics
Authors: Enrique Zuazua, Yongcun Song
Date: Summer semester 2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Lecture notes: A primer on functional Analytic methods for PDEs
Authors: Hannes Meinlschmidt
Date: Summer semester 2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Modeling and Analysis in Continuum Mechanics 1
Authors: Enrique Zuazua, Nicola De Nitti
Date: Winter semester 2021/2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Transport Phenomena
Authors: Enrique Zuazua, Nicola De Nitti
Date: Winter semester 2021/2022
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course (China): Control, Machine Learning and Numerics
Authors: Enrique Zuazua
Date: July 9 – 26, 2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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OCA’21 Online CIMPA School: Control, Numerics and Machine Learning
Authors: Enrique Zuazua
Date: June 28 – July, 2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Practical course: Modeling, Simulation and Optimization
Authors: Enrique Zuazua, Daniël Veldman
Date: Summer semester 2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Modeling and Analysis in Continuum Mechanics 2
Authors: Enrique Zuazua, Nicola De Nitti
Date: Summer semester 2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Practical course: Modeling, Simulation and Optimization
Authors: Enrique Zuazua, Daniël Veldman
Date: Summer semester 2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Master PDE course: Partial Differential Equations, Control and Numerics
Authors: Enrique Zuazua
Date: December 13, 2020
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Modeling and Analysis in Continuum Mechanics 1
Authors: Enrique Zuazua, Nicola De Nitti
Date: Winter semester 2020/2021
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Course: Partial Differential Equation, Control, and Numerics
Authors: Enrique Zuazua, Nicola De Nitti
Date: Summer semester 2020
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Thesis
PhD Thesis: Deep Learning with Controlled Flows: Expressivity, Generalization and Generation
Authors: Antonio Álvarez-López
Supervisors: Enrique Zuazua, Rafael Orive
Date: July 1, 2026
Institution: UAM, Autonomous University of Madrid
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Master Thesis: Synthetic profile generation for energy system planning using Artificial Intelligence
Authors: Aniruddha Maiti
Supervisors: Enrique Zuazua, Zhengping Ji
Date: June, 2026
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Master Thesis: Robust Creep Control Algorithm with motion shaping and tracking for passenger vehicles
Authors: Dante Amor
Supervisors: Enrique Zuazua, Zhengping Ji
Date: May, 2026
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Master Thesis: Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability
Authors: Greshma Shaji
Supervisors: Ziqi Wang, Enrique Zuazua, Frauke Liers
Date: November, 2025
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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PhD Thesis: From Optimal Control to Random and Neural Network Approximation
Authors: Martín Hernández Salinas
Supervisors: Enrique Zuazua
Date: September 25, 2025
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Master Thesis: AI-based Diagnosis of Combustion Anomalies in Hydrogen Engines
Authors: Arun Sai Thunga
Supervisors: Enrique Zuazua
Date: June 30, 2024
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Master Thesis: Synthetic Training Data Generation for Point Cloud Defects
Authors: Nishitha Yedalapalli
Supervisors: Enrique Zuazua, Yongcun Song
Date: January 29, 2024
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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PhD Thesis: Analysis, control, and singular limits for hyperbolic conservation laws
Authors: Nicola de Nitti
Date: July 24, 2023
Supervisors: Enrique Zuazua
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Master Thesis: Machine Learning: Publisher Recommendation Model
Authors: Mohammed Quaidjohar Husain
Date: July 7, 2023
Supervisors: Enrique Zuazua
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Gradient Descent on Wide Neural Networks and Federated Learning
Authors: Gisele Stephanie Otiobo
Date: May 20, 2023
Supervisors: Enrique Zuazua
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Internships
Reinforcement learning as a new perspective into controlling physical systems
Authors: Theïlo Terrisse
Date: July, 2023
Supervisors: Enrique Zuazua
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Breaking the symmetry with Robin boundary conditions
Authors: Alba Lia Masiello
Affiliation: University of Naples Federico II
Date: May 3, 2023
Supervisors: Enrique Zuazua
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs)
Authors: Dania Sana
Date: September, 2022
Supervisors: Enrique Zuazua
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Gas networks at stationary states: Analysis, software and visualization
Authors: Veronika Riedl
Date: August 2022
Supervisors: Martin Gugat, Enrique Zuazua
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Workshops
FAU MoD Course: Discovery of singularities with physics-informed neural networks
Authors: Gonzalo Cao-Labora
Date: December 2-4, 2026
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics
Authors: Organizing Committee: Jan Giesselmann, Olivier Glass, Amaury Hayat, Nicola de Nitti, Enrique Zuazua
Date: August 23 – September 04, 2026
Institution: Centro de Ciencias de Benasque Pedro Pascual
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MLPDES26, Machine Learning and PDEs Workshop (2026)
Authors: Scientific Committee: Giuseppe M. Coclite, Enrique Zuazua, Organizing Committee: Darlis Bracho Tudares, Nicola De Nitti, Lorenzo Liverani
Date: Jun 22 – 24, 2026
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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FAU MoD Workshop G. Fantuzzi / D. Martonová
Authors: Giovanni Fantuzzi, Denisa Martonová
Date: December 10, 2025
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Workshop: The Mathematics of Scientific Machine Learning and Digital Twins
Date: November 19-25, 2025
Institution: Digital Twin Lab. CMAI, Center for Mathematics and Artificial Intelligence at GMU
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A workshop in Speinshart: Scientific center for AI and SuperTech
Date: November 11 – 16, 2025
Institution: Kloster Speinshart
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FAU MoD workshop L. Liverani / H. Holthusen
Authors: Lorenzo Liverani, Hagen Holthusen
Date: September 23, 2025
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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FAU MoD Lecture & Workshop: AI for maths and maths for AIAuthors: François Charton
Date: June 23-24, 2025
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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The Turnpike Phenomenon for Optimal Control Problems under Uncertainty . FAU MoD Workshop: AI for maths and maths for AI
Authors: Michael Schuster
Date: June 24, 2025
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AI in Mechanics. FAU MoD Workshop: AI for maths and maths for AI
Authors: Hagen Hotlhusen
Date: June 24, 2025
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Contribution evaluation in Federated Learning. FAU MoD Workshop: AI for maths and maths for AI
Authors: Daniel Kuznetsov
Date: June 24, 2025
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Exact sequence prediction with transformers. FAU MoD Lecture & Workshop: AI for maths and maths for AI
Authors: Giovanni Fantuzzi
Date: June 24, 2025
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Discovering the most suitable material model for cardiac tissue with constitutive neural networks. FAU MoD Workshop: AI for maths and maths for AI
Authors: Denisa Martonová
Date: June 24, 2025
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Stability of Hyperbolic Systems with Non-Symmetric Relaxation. FAU MoD Workshop: AI for maths and maths for AI
Authors: Lorenzo Liverani
Date: June 24, 2025
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MLPDES25 Machine Learning and PDEs Workshop (2025)
Authors: Scientific Committee: Giuseppe M. Coclite, Enrique Zuazua, Organizing Committee: Darlis Bracho Tudares, Nicola De Nitti, Lorenzo Liverani
Date: April 28 – 30, 2025
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
https://mod.fau.eu/mlpdes25/
MLPDES25. Data-driven system analysis: Polynomial optimization meets Koopman Machine Learning and PDEs Workshop (2025)
Authors: Giovanni Fantuzzi (speaker)
Date: April 28, 2025
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Data-driven system analysis: Polynomial optimization meets Koopman. IMC Seminar (UC Chile University)
Authors: Giovanni Fantuzzi
Date: October 30, 2024
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Sentimentanalyse mit Transformern in Aktion. #NdW25 Long Night Sciences
Authors: Giovanni Fantuzzi, Albert Alcalde
Date: October 25, 2025
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Clustering in Pure-attention Hardmax Transformers and Its Role in Sentiment Analysis. Conference on Control, Inversion and Numerics for PDEs. Fudan University (Shanghai)
Authors: Albert Alcalde, Giovanni Fantuzzi, Enrique Zuazua
Date: October 7 – 10, 2024
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Slides
MLPDES26, Machine Learning and PDEs Workshop (2026)
Authors: Scientific Committee: Giuseppe M. Coclite, Enrique Zuazua, Organizing Committee: Darlis Bracho Tudares, Nicola De Nitti, Lorenzo Liverani
Date: Jun 22 – 24, 2026
Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Poster at the Mathematics for Machine Learning: Approximation Theory and Applications of Semi-Autonomous Neural ODEs, Burgundy. Dijon, France
slides
Authors: Ziqian Li (speaker)
Date: June 16, 2026
EZ65: Control, PDEs and Machine Learning workshop: Deep Neural ODE Operator Networks for PDEs
slides
Authors: Ziqian Li (speaker)
Date: June 11, 2026
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Neural ODEs: Approximation Theory and Operator Learning
slides
Authors: Ziqian Li
Date: March 02, 2026
FAU MoD/GMU workshop: The Mathematics of Scientific Machine Learning and Digital Twins: Deep Neural ODE Operator Networks for PDEs
Slides
Authors: Ziqian Li
Date: November 20, 2025
Institutions: FAU MoD, GMU
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