EZuazua Akademy

courses, thesis supervision, lecture notes, presentations by Enrique Zuazua

1 to 6 of 53

29JUN 2026
2026-resources
PhD Thesis defense by A. Alvarez-Lopez
Next Wednesday July 1, 2026 our team member Antonio Álvarez-López will present his PhD Thesis on: “Deep Learning with Controlled Flows: Expressivity, Generalization and Generation” Advisors: • Prof. Enrique Zuazua, FAU – Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) • Prof. Rafael Orive, Autonomous University of Madrid (UAM) Abstract. This thesis studies deep learning from the perspective of […]Next Wednesday July 1, 2026 our team member Antonio Álvarez-López will present his PhD Thesis on: “Deep Learning with Controlled Flows: Expressivity, Generalization and Generation” Advisors: • Prof. Enrique Zuazua, FAU – Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) • Prof. Rafael Orive, Autonomous University of Madrid (UAM) Abstract. This thesis studies deep learning from the perspective of […]
Read more about PhD Thesis defense by A. Alvarez-Lopez
16JUN 2026
Akademy
MLPDES26, Machine Learning and PDEs Workshop (2026)
Date: Mon.-Wed. June 22 – 24, 2026 Event: MLPDES26, Machine Learning and PDEs Workshop (2026) Host: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Event type: Hybrid (On-site / Online) #MLPDES26 Book of Abstracts *Recordings available at: https://mod.fau.eu/mlpdes26/ This Spring, our FAU MoD, Research Center for Mathematics of Data is […]Date: Mon.-Wed. June 22 – 24, 2026 Event: MLPDES26, Machine Learning and PDEs Workshop (2026) Host: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Event type: Hybrid (On-site / Online) #MLPDES26 Book of Abstracts *Recordings available at: https://mod.fau.eu/mlpdes26/ This Spring, our FAU MoD, Research Center for Mathematics of Data is […]
Read more about MLPDES26, Machine Learning and PDEs Workshop (2026)
01JUN 2026
2023-resources
Synthetic profile generation for energy system planning using Artificial Intelligence
Master Thesis: “Synthetic profile generation for energy system planning using Artificial Intelligence” Author: Aniruddha Maiti Supervisors: Prof. Enrique Zuazua, Zhengping Ji Date: June, 2026 Rapid urbanization and population growth have led to a significant increase in energy consumption, especially in densely populated metropolitan areas. Simultaneously, the European Union and Germany have set ambitious goals to […]Master Thesis: “Synthetic profile generation for energy system planning using Artificial Intelligence” Author: Aniruddha Maiti Supervisors: Prof. Enrique Zuazua, Zhengping Ji Date: June, 2026 Rapid urbanization and population growth have led to a significant increase in energy consumption, especially in densely populated metropolitan areas. Simultaneously, the European Union and Germany have set ambitious goals to […]
Read more about Synthetic profile generation for energy system planning using Artificial Intelligence
01JUN 2026
2023-resources
Robust Creep Control Algorithm with motion shaping and tracking for passenger vehicles
Master Thesis: “Robust Creep Control Algorithm with motion shaping and tracking for passenger vehicles” Author: Dante Amor Supervisors: Prof. Enrique Zuazua, Zhengping Ji Date: May, 2026 This thesis aims to provide a new architecture that provides torque commands to control the vehicle, not only reaching a target velocity, but by shaping the full trajectory of […]
Read more about Robust Creep Control Algorithm with motion shaping and tracking for passenger vehicles
10MAR 2026
Akademy
Course: Introduction to Control and Machine Learning
Introduction to Control and Machine Learning Master Course – FAU, Friedrich-Alexander-Universität Erlangen–Nürnberg This course explores the deep connections between control theory, dynamical systems, and modern machine learning, highlighting how mathematical tools developed for the analysis of differential equations can help understand and design modern AI systems. Course Overview The course introduces the mathematical foundations of […]Introduction to Control and Machine Learning Master Course – FAU, Friedrich-Alexander-Universität Erlangen–Nürnberg This course explores the deep connections between control theory, dynamical systems, and modern machine learning, highlighting how mathematical tools developed for the analysis of differential equations can help understand and design modern AI systems. Course Overview The course introduces the mathematical foundations of […]
Read more about Course: Introduction to Control and Machine Learning
13JAN 2026
Akademy
Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics
Event: Benasque XI Workshop-Summer School 2026: XI Partial Differential Equations, Optimization, Numerics, and Machine Learning Date: Sun.-Fri. August 23 – September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Deadline for applications: Wed. June 10, 2026 Next Summer, on August 23 – September 04, 2026 will be held the XI Partial Differential Equations, Optimization, Numerics, […]Event: Benasque XI Workshop-Summer School 2026: XI Partial Differential Equations, Optimization, Numerics, and Machine Learning Date: Sun.-Fri. August 23 – September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Deadline for applications: Wed. June 10, 2026 Next Summer, on August 23 – September 04, 2026 will be held the XI Partial Differential Equations, Optimization, Numerics, […]
Read more about Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics