SCIENTIFIC BOARD


The Scientific Board is an advisory committee of established researchers with an excellent record of research achievements, appointed by the Board of Directors to provide advice and guidance on research matters and to ensure the scientific quality of the centre’s research output.

 

Manuel F. González Penedo is the Director of CITIC and professor of Computer Science and Artificial Intelligence (UDC). He is the coordinator of the Artificial Vision and Pattern Recognition (VARPA) research group and responsible for the Image and Video Processing sections of the Coruña Institute for Biomedical Research (INIBIC).   

Javier Pereira Loureiro is the Deputy Director of CITIC and a senior lecturer in Radiology and Physical Medicine (UDC). He is the coordinator of the TALIONIS research group. He lectures and researches in the area of medical informatics and technology for disability. He was named coordinator of the UDC Master’s in Health Science Bioinformatics and Director of the UDC Handytronic-Telecon Chair.

Amparo Alonso Betanzos is a professor of Computer Science and Artificial Intelligence (UDC). She is the coordinator of the Artificial Intelligence Research and Development Laboratory (LIDIA) research group and President of the Spanish Artificial Intelligence Association (AEPIA).

Nieves Rodríguez Brisaboa is a professor of Computer Languages and Systems (UDC) and has coordinated the Database Laboratory (LBD) research group since its creation in 1996. Her research interests include compact data structures and algorithms, text retrieval, sequence processing and information systems design. In addition to her teaching and research activities, she has also held numerous administrative posts within the university.

Adriana Dapena is a professor of Signal Theory and Communications (UDC), and a member of the Electronic and Communications Technology (GTEC) research group. Her research interests include hardware prototyping and the development of algorithms for a range of applications, including human-machine interfaces, intelligent transportation systems, unmanned vehicles and Internet of Things.

Susana Ladra is a senior lecturer in Computer Systems and Languages (UDC), director of the UDC Innova Campus, and a member of the Database Laboratory (LBD) research group. Her research focuses on data compression, data structures, algorithm analysis, algorithms and structures for bioinformatics data, databases, data mining, and information retrieval.

Ricardo Cao Abad is a professor of Statistics and Operations Research (UDC), and the coordinator of the Statistical Modelling, Optimisation and Inference (MODES) research group. His research interests include non-parametric statistics, bootstrapping, survival analysis, functional data analysis, big data statistical analysis, dependent data analysis, empirical verisimilitude, and statistical modelling for materials science, credit risk, statistical inference in genomic, neuroscience and weed control.

Luis Castedo Ribas is a professor of Signal Theory and Communications (UDC), and the coordinator of the Electronic and Communications Technology (GTEC) research group. His research focuses on signal processing, information theory for wireless communication, and prototyping of wireless communication terminals.

José Carlos Dafonte Vázquez is a senior lecturer in Computer Science and Artificial Intelligence (UDC), and the coordinator of the Interdisciplinary Laboratory of Artificial Intelligence Applications (LIA2) research group. His research focuses on artificial intelligence, image processing, hybrid systems, knowledge engineering, intelligent monitoring systems, telemedicine, genetic algorithms, adaptive systems and expert systems.

Ramón Doallo Biempica is a professor of Computer Architecture and Technology (UDC), and a member of the Computer Architecture (GAC) research group. His research focuses on computer architecture, supercomputing, parallel and distributed computing, cloud computing, big data, and geographic information systems.

Richard Duro is a professor of Computer Science and Artificial Intelligence (UDC), and coordinator of the Integrated Engineering research group (GII). His research focuses on cognitive robotics and the applications of artificial intelligence and robotics across different industrial sectors.

Marcos Ortega Hortas is a senior lecturer in Computer Science and Artificial Intelligence (UDC), and a member of the Artificial Vision and Pattern Recognition (VARPA) research group. His research focuses on computer vision, medical image processing, and medical informatics. 

Carlos Vázquez Cendón is a professor of Applied Mathematics (UDC), and the coordinator of the Numerical Methods and Modelling for Engineering and Applied Science (M2NICA) research group. His research interests include mathematical modelling for engineering and applied science, partial differential equations, numerical methods and numerical simulation.

Minia Manteiga Outeiro is a professor of Astronomy and Astrophysics (UDC), and a member of the Interdisciplinary Laboratory of Artificial Intelligence Applications (LIA2). Her research focuses on stellar populations and late-stage stellar evolution (planetary nebulae), application of artificial intelligence technologies for the analysis of large astronomical repositories and surveys, Big Data in astronomy (optical and infrared spectroscopy), and the kinematics of planetary nebulae.

Bertha Guijarro Berdiña is a senior lecturer in Computer Science and Artificial Intelligence (UDC), coordinator of the Bachelor’s degree in Data Science and Engineering, and a member of the Artificial Intelligence Research and Development Lab (LIDIA) research group. Her research focuses on knowledge-based systems (development and validation methodologies) and Computational Learning Theory (development and application of algorithms for Big Data Learning).

Juan Touriño Domínguez is a professor of Computer Architecture and Technology (UDC), and the coordinator of the Computer Architecture (GAC) research group. His research interests include high performance computing, parallel and distributed computing, cloud computing, big data, and geographic information systems.