معرفی
Víctor Dalmau is an Associate Professor in the Department of Information and Communication Technologies at Universitat Pompeu Fabra (UPF), Barcelona, where he has been a faculty member since 2007. He is affiliated with the Artificial Intelligence and Machine Learning Research Group, contributing to foundational and theoretical research in computer science.
His research centers on the Theory of Constraint Satisfaction, a fundamental framework in computer science with applications in artificial intelligence, scheduling, logistics, and computer vision. His work integrates techniques from combinatorics, logic, database theory, universal algebra, and complexity theory. He also investigates proof complexity, computational learning, and schema mappings, focusing on the theoretical underpinnings of computational problems.
Víctor Dalmau has been recognized with the prestigious Ramón y Cajal Fellowship and received the ICDT 2012 Best Paper Award for his contributions to database theory and logic. These honors reflect his impact in theoretical computer science.
He has advised students and contributed to research grants, though specific names and projects are not detailed in the provided text. He is actively involved in the Artificial Intelligence and Machine Learning Group at UPF, fostering collaborative and interdisciplinary research in foundational aspects of AI and computation.
