The cities of the 21st century cannot be understood without understanding their progressive technological development. All the cities that wish to improve the lives of their citizens have the objective of promoting technological management. Many cities have already started this progress and have become true Smart Cities.

Smart cities base their progress on adapting their structures to new technologies. To make energy consumption less polluting, to make the mobility of its inhabitants more efficient and to ensure that there is continuous information available to citizens so that they can improve their habits and thus achieve a better quality of life.

The overall goal of Smart Cities is to achieve a more sustainable world. Extensive work has been done in the following fields in order to achieve city sustainability:

  • The reduction of polluting CO2 emissions through the manufacture of electric cars, traffic control or reduction of emissions in different industries.
  • Use of photovoltaic panels in buildings, traffic lights and signals.
  • Use of wind energy in different urban infrastructures.
  • Promotion of the use of bicycles, through the creation of bicycle lanes and the improvement of applications for the management of routes and electric bicycles.

Different factors are assessed to calculate the level of efficiency, all of these are fundamental for a smart city: technology, environment, mobility and transport, governance, international impact, capital and urban planning. In short, there are many small elements that make cities more efficient places.

The Master’s and Expert Degree in Smart Cities & Intelligent Buildings offers its students the opportunity to acquire skills in the new technological paradigms that cities and buildings require in order to become sustainable.  Our goal is to train individuals who will make the new vision of cities become a reality and thus achieve great ecological, economic and social progress. To this end, we collaborate with IBM, a company that provides our students with the best possible resources and training.

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.

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