Another researcher from FAU has been awarded an Advanced Grant from 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 Learning".
Among the topics Enrique Zuazua deals with are partial differential equations, control theory and numerics. The objective of these areas of mathematics is to improve modeling and simulation of processes stemming from engineering, especially in areas of particular importance for the future such as aviation, energy supply or social behavior. Prof. Zuazua's research focuses on the analysis, control and computer simulation of processes such as these using mathematical techniques. Research in this area is also crucial for predicting natural phenomena such as tidal waves, a factor that is becoming increasingly important in view of climate change.
The main inspiration behind his project "Control for Deep and Federated Learning (CoDeFeL)" that has now received the ERC Grant are the challenges that can arise when using applications in digital medicine. Machine learning heralds a new era in applied mathematics, leading to innovative and powerful new methods. This raises fundamental mathematical questions, however. Enrique Zuazua intends tackling this challenge from the perspective of other, more intensely researched areas of applied mathematics, namely from the interface between control theory and machine learning. CoDeFel will make a contribution to the analytical foundations of machine learning methods, thereby expanding and bringing the area of application of control theory up to date.
