Ilaria Tiddi

Ilaria Tiddi is an Assistant Professor at the Faculty of Science, Department of Computer Science at Vrije Universiteit Amsterdam. She is also affiliated with the Network Institute and the Artificial Intelligence research group. Her work focuses on hybrid intelligence, knowledge graphs, robotic perception, and multi-agent systems. She contributes to the UN Sustainable Development Goals through her research in artificial intelligence and robotics.

Her research interests include explainable AI, knowledge representation, robotic knowledge acquisition, and the integration of semantic technologies into robotic systems. She explores how knowledge graphs can enhance robotic perception and decision-making, particularly in dynamic environments. Recent work emphasizes shared understanding in open multi-agent systems and actionable knowledge extraction for robotic tasks.

Dr. Tiddi has published extensively on topics like ontology design for robotics, data augmentation in reinforcement learning, and narrative-based societal understanding. Her articles highlight interdisciplinary approaches combining AI with fields like bioinformatics and urban studies. She teaches courses on artificial intelligence and semantic technologies, reflecting her commitment to advancing computational methods for complex problem-solving.

Her datasets and software, such as the MUHAI Benchmark and story-generation frameworks, demonstrate her focus on practical applications of AI. Collaborations span international institutions, addressing challenges in robotic perception, ethical AI, and hybrid intelligence systems.