Dr. Amparo Alonso Betanzos was born in Vigo, Spain, in 1961. In 1984 she was graduated in chemistry with a chemical engineering major from the University of Santiago, Spain, where in 1985 she received the first posgraduate degree for research on perinatal monitoring. Since joining the University's Department of Applied Physics, she has received the doctorate degree (apto "cum laude" and premio extraordinario) for work on the construcction of obstetrical expert systems, she was a 2-years postdoctoral fellow in the Department of Biomedical Engineering Research at the Medical College of Georgia, and she continues to work mainly on the development of expert systems for medical applications. Currently, she is Profesor Titular de Universidad in the Department of Computer Science of the Faculty of Informatics at the University of A Coruña., where she is teaching Expert Systems . She is member of the IEEE since 1987; the IEEE Society "Engenieering in Medicine and Biology" since 1989; the IEEE Computer (1989); the ACM (Association for Computer Machinery) since 1990; the IAKE (International Association of Knowledge Engineers) since 1991; and the New York Academy of Sciences, since 1992. She was member of the Organizer Committee of the 5th International Symposium on Biomedical Engineering, celebrated in Santiago de Compostela, Spain, in 1994. She received the "Award of Merit: paper of significant contribution to the Field of Clinical Engineering" from the Quest Publishing Company in January 1990. And she also received, in October 1995, the positive evaluation from the Researching Activity National Evaluating Commission for his researching sections during the interval 1988-1993. Her mayor research interests are Expert Systems and clinical applications of artificial intelligence techniques, Knowledge Engineering in diagnostic and therapeutic fields, Expert Systems validation, Aspects of learning in Artificial Neural Networks and Functional Networks, hybrid intelligent systems, and multi-agent technologies in the design of intrusion detection systems.