Department: LENGUAJES Y SISTEMAS INFORMÁTICOS

Center: E.T.S. DE INGENIERÍA INFORMÁTICA

Area: Computer Languages and Systems

Email: alba.garcia@lsi.uned.es

Personal web: https://albagarciaseco.blogspot.com/

Doctor by the Université de Genève with the thesis Use case oriented medical visual information retrieval & system evaluation 2015. Supervised by Dr. Henning Muller, Dr. Stéphane Marchand-Maillet.

Dr. Alba García Seco de Herrera is a Distinguished Researcher in the School of Computer Science at UNED, Spain, and formerly a Senior Lecturer (Associate Professor) in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex, Colchester, UK. She also serves as one of the coordinators of the CLEF evaluation initiative, which involves more than 200 research groups world-wide, advancing global collaboration in the development of information access technologies. Before joining the University of Essex, she held a postdoctoral fellow at the National Library of Medicine - National Institutes of Health (NLM/NIH), USA. As a mathematician, she enjoys applying mathematics and computational techniques to develop Artificial Intelligence (AI) tools that model the complex realities found in the vast datasets available today. Her research interests lie broadly in the area of AI for computer vision, with a special focus on biomedical imaging, neuroimaging, information access, and evaluation. She is also interested in the challenges of Multimodal AI, where various data types—such as images, text, speech, and numerical data—are combined with multiple intelligence-processing algorithms to achieve enhanced performance. In many real-world problems, Multimodal AI often outperforms single-modal AI by leveraging diverse sources of information.