
Rafael Ballester-Ripoll
Associate Professor
Artificial Intelligence (AI) aims to give machines the ability to perceive, reason, and act autonomously. This research line develops intelligent systems that learn from data, interpret their environment, and make informed decisions. At IE, projects span from adaptive robotics and natural language understanding to cognitive architectures and AI-driven planning, integrating algorithmic design with practical applications across science and industry.
Modern AI blends symbolic reasoning with data-driven learning—merging the interpretability of logic-based systems with the adaptability of machine learning. This synthesis allows AI not only to process and act on information but also to explain its reasoning, collaborate with humans, and evolve ethically. As transparency and accountability advance, AI increasingly serves as both a scientific tool and a partner in solving real-world problems.

Associate Professor

Assistant Professor

Assistant Professor

Postdoctoral Researcher
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