At the BISITE research group we are committed to providing solutions that can help improve the current worldwide crisis. We are making great use of our knowledge and experience in new technologies, such as artificial intelligence, blockchain, big data or machine learning.

Our group has 20 years of experience in carrying out research and projects that involve disruptive technologies, which has allowed us to successfully design several prototypes targeted at COVID-19. For example, an application that helps predict outbreaks in specific areas on the basis of data regarding the estimated location of people experiencing symptoms. This app could help us take timely decisions in order to control outbreaks. Moreover, it would allow us to determine the reasons for an increased number of infections in some areas.

If the data are used correctly, they can become allies in the execution of scientific, social and medical studies. Given that we are facing a new virus with no history, the use of data is crucial, it will allow us to conduct exhaustive analyses of the evolution of the virus. It is important to obtain data from different latitudes, help us understand how the virus behaves in countries with different climates, which is why we have begun to collaborate in projects involving countries in Central America and the Middle East.

Blockchain, big data and artificial intelligence are protagonists in most projects, where they help us classify patients, their location and give recommendations on how to comply with social distancing measures or greater precautions in case of infected patients or those who have symptoms. Always respecting the privacy of the users.

We are sure that all the effort we are making will be of great value to health and government institutions.

Here is an interview published in El Mundo, which describes some of our projects. https://diariodecastillayleon.elmundo.es/articulo/castilla-y-leon/biblioteca-inteligente-coronavirus/20200528212914010455.html

 

Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Unviersidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.