معرفی
Ireneo Peral Alonso is a Full Professor in the Department of Mathematics at the Autonomous University of Madrid, specializing in Mathematical Analysis and its applications. His research interests span Machine Learning, Control Theory, and Partial Differential Equations, with recent work focusing on transformer models for sentiment analysis, federated learning frameworks, and optimal control strategies for wave equations.
His recent publications highlight interdisciplinary approaches, combining neural networks with differential equations (e.g., neural ODEs) and exploring game-theoretic perspectives in distributed learning systems. He has also contributed to numerical analysis through finite element methods applied to Sobolev constants.
No scientific awards or grants are explicitly mentioned in the provided text. No advising or lab affiliations are detailed, though his work suggests involvement in collaborative research groups.
