Master Thesis: “Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability” Author: Greshma Shaji Supervisors: Ziqi Wang, Prof. Enrique Zuazua, Prof. Frauke Liers Date: November, 2025 Large Language Models (LLMs) are increasingly used in autonomous systems but face challenges in long-term reasoning, coordination, and scalability. This thesis […]
Thesis
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Next Thursday September 25, 2025 our team member Martín Hernández will present his PhD Thesis on: “From Optimal Control to Random and Neural Network Approximation” Supervisor: Prof. Enrique Zuazua, FAU – Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. This talk presents contributions grounded in control and computation. First, we focus on long-time […]
Master Thesis: “AI-based Diagnosis of Combustion Anomalies in Hydrogen Engines” Author: Arun Sai Thunga Supervisor: Prof. Enrique Zuazua Date: June 30, 2024 In the field of automobile maintenance, a wide range of sensors are useful for capturing the signals inside the combustion chamber of engines. Addressing the intricacies of anomaly […]
Master Thesis: “Synthetic Training Data Generation for Point Cloud Defects” Author: Nishitha Yedalapalli Supervisor: Prof. Enrique Zuazua Date: January 29, 2024 In the field of aviation maintenance, white light interferometry is useful for detecting submillimeter cracks within combustion chambers. This cutting-edge technology gen- erates high-resolution point cloud data that captures […]
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 […]
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 […]
Date: Fri. July 23, 2021 Event: PhD Thesis Defense Title: Nodal Control and Probabilistic Constrained Optimization using the Example of Gas Networks Speaker: Michael Schuster Affiliation: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) On July 23rd, our team member Michael […]