En marcha

Best Student Journal Paper Award of the IEEE CEDA Spain Section

Madrid, Madrid, Spain

Best Journal Paper Award of the IEEE CEDA Spain Chapter The Spanish Chapter of IEEE CEDA opens a call for Best Journal Paper Award aimed at promoting young researchers. Prize The IEEE CEDA Spain Chapter will sponsor the award with 250€. A diploma will be awarded to the authors at the DCIS conference in 2025. Basis for Judgement General quality, originality, contributions, subject matter, and timeliness. Papers will be evaluated and ranked by a committee of three independent experts. Eligibility - Paper within the scope of IEEE CEDA (https://ieee-ceda.org/about) published in an IEEE journal. - The paper must have been published in 2023 or 2024. - At least one of the authors must be a PhD student or have obtained the PhD degree less than 2 years before paper submission date. This author must have been affiliated to a Spanish academic or research center at the time of paper submission. Nomination info - Full paper data. - Current affiliation and addresses of all authors. - A one-page summary highlighting originality, new research contributions and timeliness All this information must be sent by e-mail to IEEE CEDA Spain Chapter: ceda-spain@imse-cnm.csic.es Nomination deadline is Feb. 28, 2025. Madrid, Madrid, Spain

Doctorate School of Engineering: Smart Systems for Ambient Assisted Living

Room: Sala de Grados (zona Este, primera planta), Bldg: Edificio Politécnico, Campus Universitario S/N., Politechnical School. University of Alcalá, Alcala de Henares, Madrid, Spain, 28805, Virtual: https://events.vtools.ieee.org/m/459944

This school focuses on Smart Systems for Ambient Assisted Living. It will cover advanced topics related to utilizing technology to enhance the quality of life for elderly or disabled individuals within their living environments. These systems often integrate sensors, actuators, artificial intelligence, and communication technologies to monitor and assist with daily activities, health monitoring, and safety. The school will include lectures covering various aspects such as sensor technologies, data analysis techniques, machine learning algorithms, human-computer interaction, privacy and ethics considerations, and real-world implementation challenges. IMS Spain Chapter sponsors the plenary sessions. Co-sponsored by: EUGLOG University of Alcala Room: Sala de Grados (zona Este, primera planta), Bldg: Edificio Politécnico, Campus Universitario S/N., Politechnical School. University of Alcalá, Alcala de Henares, Madrid, Spain, 28805, Virtual: https://events.vtools.ieee.org/m/459944

Intelligent Healthcare: Prospects and Limits of Generative Artificial Intelligence for Medical Systems

Room: Sala de Grados (zona Este, primera planta), Bldg: Edificio Politécnico, Campus Universitario S/N., Politechnical School. University of Alcalá, Alcala de Henares, Madrid, Spain, 28805, Virtual: https://events.vtools.ieee.org/m/459940

I&M Society Distinguished Lecturer Program Medicine today has the availability of advanced technologies and new devices for diagnosis. Telemedicine gives a new scenario that allows remote diagnosis, control and treatment of patients at home without physical contact with the doctor. Routine checkups can be outsourced to small care facilities or even to the patient's own home. In Europe the elderly are more than the young but the funds for the health system are decreasing. The medicine paradigm must be rethought. E-Health can be the solution to support for the delocalization of some medical services: new micro and nano electronic circuits, IOT for pervasive and efficient communication, Artificial Intelligence to solve problems where models are not easy to apply but a lot of data is available. The ability to combine the power of AI algorithms and data from different sensors and databases can greatly increase the reliability of the final choice of the right therapy. This is the new Medicine 4.0. The digitalization of the processes and the improvement of technology allow interfacing the human body with computers and Artificial Intelligence allows you to work with a large amount of data (big data) and identify unknown correlations between the parameters to allow a new diagnosis. Co-sponsored by: EUGLOG University of Alcala Speaker(s): Eros Pasero Room: Sala de Grados (zona Este, primera planta), Bldg: Edificio Politécnico, Campus Universitario S/N., Politechnical School. University of Alcalá, Alcala de Henares, Madrid, Spain, 28805, Virtual: https://events.vtools.ieee.org/m/459940