IEEE ARGENCON is the Biennial Premium Conference of the IEEE Argentina Section. Its objectives are to disseminate and present the most recent research and development advances in engineering in IEEE designated fields. Its sixth edition, IEEE ARGENCON 2022, will be held in the city of San Juan (SJ, Argentina) in a hybrid format (face-to-face and virtual), on Wednesday 7, Thursday 8, and Friday 9 September 2022. On Monday 5 and Tuesday 6 September Pre-Conference complementary technical activities will be offered. The event is organized by the Instituto de Energía Eléctrica (IEE) of the National University of San Juan/CONICET, with the collaboration of the Faculty of Engineering of the University of Palermo. Full and updated information on IEEE ARGENCON 2022 will be available at http://www.argencon.org.ar Contact: argencon@ieee.org.ar Important dates * Submission of papers deadline: April 04, 2022 The mechanism for submitting the works will be indicated in due course. View and download First Call to Submit Works here: * Proposals for tutorials and workshops deadline: April 25, 2022 They should contact the respective Program Chairs. The information will be available from February 2022. We invite the entire community to send their papers to the Conference and to participate in it. Co-sponsored by: IEEE Argentina Section, IEE Instituto de Energía Eléctrica (UNSJ/CONICET), Facultad de Ingeniería de la Universidad de Palermo Agenda: IEEE ARGENCON 2022 - Wed 07 through Fri 09 September 2022 Pre Conference Activities - Mon 05 and Tue 06 September 2022 Hybrid - Face-to-face / Virtual San Juan (SJ), Argentina San Juan, San Juan, Argentina, Virtual: https://events.vtools.ieee.org/m/297883

8, 9 y 10 de Septiembre de 2022 San Juan Argentina Av. Libertador Gral. San Martín 1109, J5400ARL San Juan, Argentina, San Juan, San Juan, Argentina

This event has three parts: a) Lecturer: James M. Keller (CIS President) Title: "Streaming Data Analytics: Clustering or Classification?" As the volume and variety of temporally acquired data continues to grow, increased attention is being paid to streaming analysis of that data. Think of a drone flying over unknown terrain looking for specific objects which may present differently in different environments. Understanding the evolving environments is a critical component of a recognition system. With the explosion of ubiquitous continuous sensing (something Lotfi Zadeh predicted as one of the pillars of Recognition Technology in the late 1990s), this on-line streaming analysis is normally cast as a clustering problem. However, examining most streaming clustering algorithms leads to the understanding that they are actually incremental classification models. These approaches model existing and newly discovered structures via summary information that we call footprints. Incoming data is routinely assigned crisp labels (into one of the structures) and that structure’s footprints are incrementally updated; the data is not saved for iterative assignments. b) Lecturer: Santiago Segarra Title: "Graph Neural Networks with Applications to Wireless Communications" As the availability of relational data continues to grow, graph-based modeling and processing techniques have become a mainstay in the current research landscape, cutting across fields of knowledge. Drawing from graph signal processing, in this talk we provide a first introduction to graph neural networks (GNNs), emphasizing their properties and connections to classical signal processing and machine learning. Furthermore, we present several applications of GNNs in wireless communications. More specifically, we discuss the use of GNNs in conjunction with algorithmic unfolding for quasi-optimal power allocation and distributed link scheduling. c) Special celebration event: CIS President salutation, video recorded compilation with worldwide salutation. Co-sponsored by: Universidad Nacional de San Juan and Universidad de Palermo Speaker(s): James Keller, Santiago Segarra Bldg: Edificio Central, Mitre 396 Este , San Juan - Argentina - (J5402CWH), San Juan, San Juan, Argentina, Virtual: https://events.vtools.ieee.org/m/319002