IEEE 802.11be: Wi-Fi Strikes Again
As hordes of data-hungry devices challenge its current capabilities, Wi-Fi strikes back with 802.11be, alias Wi-Fi 7. This brand-new amendment promises a (r)evolution of unlicensed wireless connectivity as we know it. With its standardisation process being consolidated, we provide an updated digest of 802.11be essential features, vouching for multi-AP coordination as a must-have for critical and latency-sensitive applications. We then get down to the nitty-gritty of one of its most enticing implementations-coordinated beamforming-, for which our standard-compliant simulations confirm near-tenfold reductions in worst-case delays.
About the Speaker:
Giovanni Geraci
Distinguished Lecturer of the IEEE Communications Society
Assistant Professor at University Pompeu Fabra (UPF) in Barcelona, and the coordinator of the Bachelor’s degree in Telecommunications Network Engineering. Previously a Research Scientist with Nokia Bell Labs and hold a Ph.D. from UNSW Sydney. Also held research appointments at the Singapore University of Technology and Design, The University of Texas at Austin, CentraleSupelec, and Alcatel-Lucent.
Distinguished Lecturer of the IEEE Communications Society, an Editor for the IEEE Transactions on Wireless Communications and IEEE Communications Letters, and the Wireless Communications Symposium co-Chair for IEEE ICC’22. Co-inventor of a dozen patents, have written for the IEEE ComSoc Technology News, and received international press coverage.
Distributed Generation in the context of smart grids: From modeling to integration studies.
La generación distribuida ha surgido como una opción para descentralizar la generación eléctrica y descarbonizar el sector. En el contexto de redes eléctricas inteligentes, la generación distribuida puede ser utilizada para gestionar el perfil de tensión de las redes eléctricas. En esta charla vamos a conversar sobre su modelado,, metodologías para evaluar la capacidad de alojamiento de las redes eléctricas y operación de la tecnología en las redes eléctricas inteligentes.
About the Speaker:
Jairo Quirós Tortós
Dr. Jairo Quirós Tortós is the director of the Energy Systems Department of the School of Electrical Engineering of the University of Costa Rica and coordinator of the Power and Energy Research Laboratory of the same institution. He obtained his PhD degree from the University of Manchester, England. He is an expert in modeling and analysis of energy and electrical systems. He has led the Development of tools to study the integrated planning of the decarbonization of Costa Rica to 2050.
Machine Learning Techniques for Radar Target Detection
Radar target detection is a process that requires the reception, processing and analysis of radio-frequency signals reflected over long distances. This process must comply with several high-performance parameters to guarantee response capacity to threats in the environment. Current systems base their operation on algorithms that have poor performance when operating with a low SNR (signal to noise ratio), a situation that is common when analyzing distant targets in uncontrolled environments. However, the improvement in machine learning algorithms has led to supervised training systems that reflect better results as classifiers.
About the Speaker:
Enrique Vinicio Carrera
Enrique V. Carrera (SM’07) received his BE degree in electronic engineering (1992) from the University of the Armed Forces of Ecuador – ESPE, Ecuador, and his master’s degree in electrical engineering (1996) from the Pontificia Universidad Católica de Río de Janeiro, Brazil. In 1999, he received his doctorate in computer engineering from the Federal University of Rio de Janeiro, Brazil.
Experiences and learnings in the implementation of IoT solutions from the Center of Excellence and Appropriation in the Internet of Things, CEA-IoT
About the Speaker:
Luis Carlos Trujillo Arboleda
Ing. LUIS CARLOS TRUJILLO ARBOLEDA, Ms.c. Electronics and Telecommunications Engineer from the Universidad del Cauca, with a Master’s Degree in Telematics from the same university. Professional with more than 20 years of experience in the telecommunications sector, including the management and development of R&D projects for ITEC-TELECOM, and support in the formulation of government plans on the development of ICT, and research and teaching. Currently, linked to the Pontificia Universidad Javeriana as a teacher and researcher at the Faculty of Engineering, and manager of the Center of Excellence and Appropriation in the Internet of Things, from which he has led the development of different projects involving IoT solutions for entities from different sectors.
Introduction to systematic reviews and meta-analysis
The meta-analysis is a highly consolidated methodology in health sciences of great importance for the accumulation of knowledge and to make decision-making easier in a certain field of work. It has the ability to quantitatively integrate the results of multiple studies on a topic in order to shed light on what the empirical evidence has shown. The scientific rigor, validity and capacity of the meta-analysis to integrate multiple evidences on a certain problem, makes it extraordinarily powerful to provide scientific evidence, overcoming the implicit limitations of traditional reviews. To sum up, the meta-analysis constitutes a type of systematic review suitable to reveal the state of the art on a certain problem (medical, physical, psychological, practical, etc.). The main characteristics of this type of analysis will be described, as well as the execution phases, and its practical utility in biomedical research.
About the Speaker:
Guillermo Palacios
Guillermo Palacios was born in Zaragoza (Spain) in 1972. He received a B.S, M.S. (‘96) and PhD. (‘09) degrees in Telecommunication Engineering from University of Zaragoza – Spain. Following experience as a software engineer in several firms, he joined Teruel Polytechnic School of Engineering in 1998. Since then, he has been with the department of Electronic Engineering and Communications, University of Zaragoza, where he is currently an Associate Professor. Dr. Palacios is the recipient of a “Prometeo Researching Grant” awarded by the Ecuadorian government. Concerning researching activities, he has authored and co-authored several book chapters and numerous articles in scientific journals and international conferences. He also has coordinated several R&D projects and has participated as a member of scientific committees in different workshops and conferences. He has also served as guest editor in several scientific journals. Dr. Palacios’ research interests include communication systems, signal processing, bioengineering and virtual rehabilitation systems.
Energy-Efficient Semiconductor Technology: The Quest to Save the Planet from an Energy Crisis.
Almost any technology on the planet runs on the astonishing power of computation provided by a chip. Modern chip technology is capable of such remarkable levels of speed and volume of data-processing that without them, any other technology simply cannot exist. From a simple electronic watch, to laptops, cars, airplanes, advanced medical equipment, to the most sophisticated forms of artificial intelligence (AI) they all need the same: the striking computational power of a chip. Consider the vast amount of chips on the planet and the energy they consume. Data centers alone, are estimated to consume about 1% of the total global energy. This is more energy than the total energy consumed by some countries. Now add the amount of chips that will be fabricated in the era of big-data and AI. This leads to monumental levels of energy consumption which exceed the entire source of available energy in the planet. It is projected that 20% of the global energy will be consumed only by chips in data centers by year 2025 (mainly Amazon, Google, Facebook, etc). Scaling-up the massive production of chips further in the future would lead to a global energy crisis. This can be avoided if a new generation of semiconductor technology can achieve the desired levels of performance while using low-power consumption. This talk will review the most sophisticated research efforts devoted by the scientific community in recent years to the quest of creating a new generation of energy-efficient semiconductor technology. From Tunneling Field-Effect Transistors (TFETs), to novel nano-particle devices capable of performing AI tasks, all the way to In-Memory computing technologies, they all aim to overcome one of the most important challenges of modern times: save power consumption and avoid a world-wide energy crisis.
About the Speaker:
Ramón Salazar
Ramon Salazar obtained his Bachelor’s degree in Electronics Engineering from University Simon Bolivar in Venezuela. His academic formation was followed by a Master of Science degree in Nanotechnology from University of Twente in The Netherlands. He returned to University Simon Bolivar in Venezuela where he developed scientific research in compact modeling of nanoelectronic devices and also worked as a teacher giving lectures on circuit design. Upon completion of his work in Venezuela, Ramon continued his academic formation by obtaining a Ph.D degree from Purdue University. He also developed research in low-dimensional devices such as Silicon Nanowires and Transition Metal Dichalcogenides (TMDs). Upon completion of his Ph.D, Ramon joined GlobalFoundries and later joined INTEL in Silicon Valley as a Research and Development Device Engineer, where he currently works in the development of novel cutting-edge technology in advanced 3D NAND memories. To this date, he has published almost 20 articles in renowned journals and. His scientific body of work covers a wide spectrum of multidisciplinary research, generating more than 500 citations from scientific literature.