IEEE Sección España

Oscar Lage es el Responsable de Ciberseguridad de Tecnalia, miembro del consejo asesor de varias compañías. Conferenciante y coautor de varios libros entre los que destaca el best seller “Blockchain: la revolución industrial de Internet”. Es colaborador habitual en medios de comunicación generalistas (TV, radio, prensa). Oscar es miembro de las dos principales alianzas internacionales sobre blockchain (Enterprise Ethereum Alliance e Hyperledger), coordinador del sectorial de Energía e Industria de Alastria y miembro de los principales foros internacionales de ciberseguridad como la European Cyber Security Organization (ECSO). Speaker(s): Óscar Lage Bldg: Palacio de Congresos y Exposiciones de Castilla y León, Cuesta de Oviedo, S/N, Salamanca, Castilla y Leon, Spain, 37008

The Internet of Things (IoT) is a network of physical devices and other objects embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. It is expected that 25 billion objects will be connected to the Internet by 2025 through IoT-based solutions, which will generate a huge amount of data, around 4.4 trillion gigabytes, by 2025. The IoT-connected objects will interact with their delayed environments to sense, collect, and forward the measured data. It is very important to ensure IoT solutions are deployed in trusted distributed environments to provide features such as seamless authentication, data privacy, security, robustness against attacks, easy deployment, and self-maintenance. Blockchain is an emerging technology that will help to provide confidence in implementing the aforementioned characteristics for any IoT-based solution. In this talk, I will address the evolution of IoT in different fields, followed by real examples that present data growth. Then, I will present the connection between IoT & Blockchain and the necessary components to develop an efficient framework. Challenges and future directions will be presented and discussed. Speaker(s): Nidal Nasser Bldg: Palacio de Congresos y Exposiciones de Castilla y León, Cuesta de Oviedo, S/N, , Salamanca, Castilla y Leon, Spain, 37008

We are pleased to announce MISC'24, the Spanish Workshop on Machine Learning, Information Theory, Signal Processing, and Communications. In Madrid on July 2, 2024, MISC'24 expands upon the Signal Processing, Information Theory, and Communications (SIC) Workshop to include the Machine learning field. The technical program features speakers of renowned international prestige in these fields. Remarkably, the event will host a distinguished lecturer from the Information Theory Society. In the afternoon, we will have a poster session for Ph.D. students, postdocs, and researchers in the fields above to foster interaction and potential new collaborations. We encourage all participants to contribute. Registration will be open until June 21, 2024. Please fill out the form: https://forms.office.com/e/4YpXNajrQy Moreover, we will hold a welcome and networking dinner on July 1st to promote social interaction among participants. Each participant would cover the costs, with an estimated cost between 40 and 50 EUR. Please, let us know your interest in attending the dinner by answering the corresponding question within the registration form. Visit our website for more details: https://sites.google.com/view/misc24workshop/home Feel free to share the event details with potential interested participants. We look forward to your participation in this event. Kind regards, Grace Villacrés (URJC), Alejando Lancho (UC3M), Mihaela I. Chidean (URJC) MISC'24 Co-Chairs Co-sponsored by: Universidad Rey Juan Carlos, Universidad Carlos III de Madrid Speaker(s): Anand D. Sarwate, Tobias Koch, Daniel Hernández-Lobato, Antonio G. Marqués Agenda: https://sites.google.com/view/misc24workshop/program Room: Salón de Actos, Bldg: Universidad Rey Juan Carlos, Calle Quintana 21, Madrid, Madrid, Spain, 28008

We are pleased to announce MISC'24, the Spanish Workshop on Machine Learning, Information Theory, Signal Processing, and Communications. In Madrid on July 2, 2024, MISC'24 expands upon the Signal Processing, Information Theory, and Communications (SIC) Workshop to include the Machine learning field. The technical program features speakers of renowned international prestige in these fields. Remarkably, the event will host a distinguished lecturer from the Information Theory Society. In the afternoon, we will have a poster session for Ph.D. students, postdocs, and researchers in the fields above to foster interaction and potential new collaborations. We encourage all participants to contribute. Registration will be open until June 21, 2024. Please fill out the form: https://forms.office.com/e/4YpXNajrQy Moreover, we will hold a welcome and networking dinner on July 1st to promote social interaction among participants. Each participant would cover the costs, with an estimated cost between 40 and 50 EUR. Please, let us know your interest in attending the dinner by answering the corresponding question within the registration form. Visit our website for more details: https://sites.google.com/view/misc24workshop/home Feel free to share the event details with potential interested participants. We look forward to your participation in this event. Kind regards, Grace Villacrés (URJC), Alejando Lancho (UC3M), Mihaela I. Chidean (URJC) MISC'24 Co-Chairs Co-sponsored by: Universidad Rey Juan Carlos, Universidad Carlos III de Madrid Speaker(s): Anand D. Sarwate, Tobias Koch, Daniel Hernández-Lobato, Antonio G. Marqués Agenda: https://sites.google.com/view/misc24workshop/program Room: 501, Bldg: Universidad Rey Juan Carlos, Calle Quintana 21, Madrid, Madrid, Spain, 28008

On Tuesday, July 2nd, Prof. Anand Sarwate from Rutgers University give his Distinguished Lecture: Title: "Learning with Structured Tensor Decompositions” Abstract: Many measurements or signals are multidimensional, or tensor-valued. Vectorizing tensor data for statistical and machine learning tasks often results in having to fit a very large number of parameters. Using tensor decompositions to model such data can give a flexible and useful modeling framework whose complexity can adapt to the amount of data available. This talk will introduce classical decompositions (CP, Tucker) as well as more recent ones (tensor train, block tensor decomposition, and low separation rank) and show how they can be used to learn scalable representations for tensor-valued data and make predictions from tensor-valued data. Time permitting, we will describe applications in federated learning as well as open problems for future research. The event will be transmitted via Teams: (https://teams.microsoft.com/l/meetup-join/19%3ameeting_MTgzMjdkYjUtZDYxNi00NmUxLTk0YjAtNDQwZTIxYWQzMDdh%40thread.v2/0?context=%7b%22Tid%22%3a%225f84c4ea-370d-4b9e-830c-756f8bf1b51f%22%2c%22Oid%22%3a%22b4bdccba-f532-48cd-8208-457d6bc3086c%22%7d) Co-sponsored by: Universidad Rey Juan Carlos, Universidad Carlos III de Madrid Speaker(s): Dr. Anand Sarwate, Virtual: https://events.vtools.ieee.org/m/425691

Por orden del presidente, se convoca la reunión ordinaria del capitulo correspondiente a Julio 2024 Virtual: https://events.vtools.ieee.org/m/426063

Presentación de temas de debate en publicación en IEEE en general y en IEEE TIM en particular. Mesa redonda con participación de Editores Asociados de TIM: Jesús Ureña Ureña (UAH) Fernando J. Álvarez (UNEX) Álvaro Hernández (UAH) Jose Antonio Gázquez Parra (UAL) José A. Hidalgo-López (UMA) Nuria Novas Castellano (UAL) sobre publicación en IEEE Co-sponsored by: SAAEI 2024 Room: Sala plenaria, Bldg: Gran Hotel Luna de Granada, Plaza del Guitarrista Manuel Cano, 2, Granada, Andalucia, Spain, 18004

Conferencia plenaria en SAAEI 2024 por IMS Distinguished Lecturer Co-sponsored by: SAAEI 2024 Speaker(s): , Daniel Watzenig Room: Sala plenaria, Bldg: Gran Hotel Luna, Plaza del Guitarrista Manuel Cano, 2, Ronda, , Granada, Andalucia, Spain, 18004, Virtual: https://events.vtools.ieee.org/m/424811

Reunión anual del Capítulo de España: - Presentación del Presidente acerca de situación actual,, actividades del año anterior y previsiones a futuro. - Entrega de Premios a Mejor Tesis y Mejor TFE defendidos en 2023 en I&M - Reconocimiento del capítulo a la trayectoria en I&M Co-sponsored by: SAAEI 2024 Bldg: Facultad de Ciencias , Av. de Fuente Nueva, s/n, Beiro, Granada, Andalucia, Spain, 18071, Virtual: https://events.vtools.ieee.org/m/424809

Entrega de Premios del Capítulo de España IEEE IMS: * Mejor tesis defendida en 2023 * Mejor TFE defendido en 2023 * Reconocimiento de Trayectoria en I&M 2024 Co-sponsored by: IEEE Spain Section Bldg: Facultad de Ciencias , Fuente Nueva s/n, Universidad de Granada, Granada, Andalucia, Spain, 18071