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BISITE - University of Salamanca
Our organisation type is:: University, Research institution
We are active in the following Technologies: Service innovation, User perspective, Social Science/Elderly, Design, Field trials / living lab, Tertiary end-users: public sector service organizers, social security systems, insurance companies, Hardware, sensors, actuators, Information technologies, data storage and processing (back end), Interfaces, software (front end), Integration, Accessibility, Communication / Dissemination / Marketing, Impact assessment, Knowledge transfer, Project management
Applications: Health & wellness, Hobbies , Home care, Information and learning, Knowledge Transfer, Mobility, Safety, security, privacy, Skills enhancement, Social interaction, Work, Other
BISITE research group
The BISITE group (Bioinformatics, Intelligent Systems, Educational Technology) –http://bisite.usal.es– of the University of Salamanca (Spain) brings together a group of researchers interested primarily in the development and application of intelligent computer systems to various types of problems. BISITE is characterized by multi-disciplinary and inter-university. It is multidisciplinary by the member’s diverse profile: computer scientists, mathematicians, biologists, chemists, physicists, oceanographers, economists, electronics and telecommunications engineers. BISITE’s interuniversity aspect includes researchers from several universities and research centres. The work of this group has a very practical component, although the theoretical aspects, necessary in any research, are not forgotten.
Research lines and multidisciplinarity
In the past years, the Bioinformatics, Intelligent based Systems and Educational Technology (BISITE) research group has focused majority of the efforts on the development of technology and prototypes for Health Care, Smart cities, security, computational creativity and technology enhanced learning, having developed successful identification and tracking models with radio frequency, vision systems with stereoscopic cameras, and animated 3D digital models in runtime. They have also developed innovative products for interaction and adaptation for wireless devices such as 3D Web environments. In the field of bioinformatics they have developed innovative proposals for classification and analysis of genomic microarrays using hybrid artificial intelligence systems. Technological innovation also applies to the education and teaching fields, at both undergraduate and postgraduate levels. In this sense BISITE has developed techniques and educational tools on intelligent systems and mathematical models, of great help for both teachers and students.
The multi-disciplinarity of the BISITE is reflected on its research lines: Artificial Intelligent, Smart cities, Social Computing, Intelligent Distributed Systems, Energy, Internet of Things, Information Security, Robotics, Bioinformatics, Computational Creativity and Technology Enhanced Learning. Currently, BISITE works on more than 30 projects in collaboration with leading companies in theses industries and other issues related to intelligent systems, agents and multiagent systems, bioinformatics, educational technology, ambiente intelligence, oceanography.
AAL programme
The interest of BISITE research group in AAL programme comes from its intrinsic concern for transnational research and its strong background in decision support systems (DSS) from clinical, environmental, social data, etc. BISITE has developed an e-Health care platform for the monitoring and tracking of elderly people. In addition, the group works in the development of intelligent sensors and data fusion algorithms for health care, home care and to improve the quality of life of elderly people. BISITE has experience in the study of microarrays from patients with various pathologies. There have been studies at the genetic and chromosomal level through expression arrays, array CGH (Comparative Genomic Hybridization) and sequencing analysis. Specifically, the team has used expression arrays corresponding to chips such as exon arrays, HG U133 plus 2.0, Affymetrix U95Av2 and BAC clones of CGH, and sequencing analysis with technology of Roche. Different arrays have been used for the analysis of various pathologies: the classification and genetic selection of patients with leukaemia; the classification and selection of genes from patients with CLL leukaemia; brain tumours; and the selection of chromosomal regions associated with different characteristics in Gastrointestinal Stromal Tumours (GIST). To perform the classifications, selection of characteristics, and other tasks, various data mining techniques were applied to filter information, dimensionality reduction, grouping, classification and extraction of knowledge from the results.
Moreover, BISITE is member of the Salamanca Institute for Biomedical Research (IBSAL) and has participated in different consortia for the development of medical systems. More information about the group can be found at http://bisite.usal.es and at http://bisite.usal.es/apps
