
On February 11, 2020 the World Health Organization announced the official name for the disease that is causing the 2019 novel coronavirus outbreak, first identified in Wuhan China. More than 110 countries are affected thus far, raising concerns of widespread fear and increasing anxiety in individuals subjected to the threat of the virus.
Humankind has experienced epidemic diseases before, such as the flu, HIV, and SARS. With the development of science and technology and the continuous attempts of scientific research by universities, university hospitals, and medical research institutions, relevant data on epidemics and viruses accumulates at an increasing rate.
In this talk, we will address which are the major challenges for Computer Science in this POSCOVID era. Which cutting-edge new technologies such as Cyber-Physical Systems, the Internet of Things and the Internet of Services will endure? Which are the implications for Computer Science as one of the major drivers of this Industry 4.0? Will Deep Learning and Big Data become the ultimate cornerstones of the PosCovid pandemics? Will Blockchain change things forever?
SEMBLANZA: DR. JUAN MIGUEL GÓMEZ BERBÍS
Juan Miguel Gómez Berbís es Profesor Titular del Departamento de Informática de la Universidad Carlos III de Madrid. Obtuvo su doctorado en el Digital Enterprise Research Institute (DERI) en la National University of Ireland, Galway. Recibió
su MBA del IE Business School, su tesis de maestría en ingeniería de software del Swiss Federal Instittute of Technology (EPFL) en Lausanne (Suiza) y un Msc. en Ingeniería de Telecomunicaciones por la Universidad Politécnica de Madrid (UPM). Ha participado y liderado varios proyectos de investigación europeos FP5, FP6 y H2020, ITEA3 y otros del Plan Nacional de I+D.
Juan Miguel Gómez Berbís ha publicado más de 100 contribuciones científicas internacionales a través de libros, revistas, conferencias y contribuciones de talleres. Ha sido comité de programa, revisor, asistente y organizador de eventos científicos de varios tipos. Sus intereses de investigación actuales incluyen las Tecnologías Semánticas, la Inteligencia Artificial Aplicada, especialmente en el ámbito del Internet of Things (IoT) y, recientemente, las tecnologías Blockchain.