Plenary Speakers


Communication Networks


Prof. Dr. Petia Georgieva, IEEE Senior Member
University of Aveiro, Portugal

Talk title: Machine/Deep Learning Approaches for Time Series Forecasting in Smart Homes and Cellular Networks

Schedule: November 30th, 2023, 09:00 – 10:00 AM (GMT-3, Brasilia time)

Abstract: Nowadays a big number of industries are going through a massive digital transformation that enables the adoption of major Artificial Intelligence (AI) concepts, namely Machine Learning (ML) and Deep Learning (DL). Advanced analytics and ML/DL based automation are the key tools to handle next generation of complex applications and services, such as smart health, intelligent cities/homes, smart communications, and many more. However, with growing data/measurements and immense volume of information to build efficient AI-based models to predict data with accuracy becomes a challenging nontrivial task. This talk will give a short overview of ML/DL architectures for time series processing and forecasting in different scenarios. Fully connected feedforward artificial neural networks (ANN) will be illustrated for the use-case of energy consumption optimization in residential buildings. Long Short Time Memory (LSTM) and Gated Recurrent Unit (GRU) will be exemplified to forecast Key Performance Indicators (KPI) for cellular network traffic.

Prof. Dr. Jules M. Moualeu, IEEE Senior Member
University of the Witwatersrand, South Africa

Talk title: Energy harvesting in Future Wireless Communication Networks with Wireless Caching

Schedule: November 30th, 2023, 02:00 – 03:00 PM (GMT-3, Brasilia time)

Abstract: The integration of device-to-device communication and the internet of things (IoT) into contemporary communication systems has demonstrated the necessity for efficient spectrum and energy utilisation. In this regard, non-orthogonal multiple access (NOMA) and simultaneous wireless information and power transmission are envisioned as promising technologies for improving the spectral efficiency and energy efficiency in future wireless systems. A common issue to wireless communications networks is the issue of network congestion. This congestion is largely caused by the massive demands on popular contents which will become increasingly severe with the advent of future wireless communications. An effective solution to tackle this problem is wireless caching, which allows the storage of popular contents in a temporary storage location for a quick access, leading to a better user’s quality of experience and a decrease in service delays and/or interruptions. To this end, integrating caching into wireless communications systems is crucial to facilitate sustainable communications for future wireless applications. In this talk, we discuss the impact of cache memory in energy harvesting-enabled NOMA-based systems.

Prof. Dr. Luciano Leonel, IEEE Member
Inatel, Brazil

Talk title: Brasil 6G: User Cases, Requirements and Challenges for Implementing Future Mobiles Networks

Schedule: November 30th, 2023, 04:00 – 05:00 PM (GMT-3, Brasilia time)

Abstract: Nowadays, we are seeing the 5G Networks being deployed all over the world, improving the quality of experience and bringing new services for different verticals. Clearly, 5G has not yet achieved its full potential and new improvements are being made in the next releases. Nevertheless, the structure of the 5G-NR, the frequency bands selected for mobile operation and restricted flexibility of the radio access network can limit the connectivity support that 5G can provide for several use cases. These limitations are motivating the academia community to exploit new solutions for the 6th Generation of Mobile Networks and a group of researchers in Brazil are collaborating to make sure that the connectivity demands of the Brazilian society will be supported by the future mobile networks. The main goal of this presentation is to show the important user cases for Brazil and their requirements, while discussing some challenges and possible enabling technologies.

Prof. Dr. Blaise Ravelo, IEEE Senior Member
Nanjing University of Information Science & Technology (NUIST), China

Talk title: Low-pass type NGD function for communication system time-advance design

Schedule: December 1st, 2023, 08:00 – 09:00 AM (GMT-3, Brasilia time)

Abstract: The negative group delay (NGD) function is one of the less familiar function for electronics and communication engineers. It was initiated in 2014 that the NGD function has analog behavior as the filter. This keynote is lecturing the design theory of low-pass (LP) type NGD analog circuit. A lumped RC-circuit topology is designed in function of the -1 μs, -1 ms and -1 s targeted time advances. The time-advance property of LP-NGD circuit is introduced by showing the analytical and demonstration of output signals propagating before the associated input signals. The LP-NGD application for communication delay suppression is discussed.

Prof. Dr. Felix J. Yanovsky, IEEE Life Fellow Member
Delft University of Technology (TU Delft), The Netherlands

Talk title: Coherent-polarimetric method of remote sensing the phenomena and objects

Schedule: December 1st, 2023, 10:00 – 11:00 AM (GMT-3, Brasilia time)

Abstract: In this talk we focus on the proposed and researched recently the coherent-polarimetric method for the remote sensing. This method synergistically combines and generalizes two approaches, which were initially introduced separately and used in radar meteorology. These are Doppler and polarimetric approaches. Doppler radars with polarimetric potential (dual polarization) are produced nowadays and operated in practice, but their strong potential is not used completely. The problem is that it still is not clear, what is the appropriate way of processing such complex signals on receive to reach really effective and qualitatively new results. We try to find possible solution. For this purpose, the theoretical study, math modeling, and computer simulation are done. New combined coherent-polarimetric parameters are proposed. The comparison of the developed models with measurement results is done. The results obtained show considerable improvement of detection and estimation turbulence intensity in the troposphere that is important to provide flight safety. Moreover, we also show that this approach is rather general and has great potential for detection, estimation and recognition of various objects and phenomena of both natural and artificial origin.

Prof. Dr. Edson Porto da Silva, IEEE Senior Member
Federal University of Campina Grande (UFCG), Brazil

Talk title: Advancing Optical Communication Systems Technology: Overview and Challenges

Schedule: December 1st, 2023, 11:00 – 12:00 AM (GMT-3, Brasilia time)

Abstract: This talk will focus on the evolving landscape of optical communication systems, offering a comprehensive overview and addressing the challenges that lie ahead. Beginning with a brief historical context, we explore the rapid advancements that have shaped the present state of optical communications. From fiber optics to emerging technologies, we’ll navigate the key milestones that have paved the way for unprecedented data transmission capabilities. The talk highlights the current trends in optical communication systems. Topics include new emerging technologies, advancements in signal processing for enhanced data rates, and the role of artificial intelligence in optimizing transmission performance. 

Prof. Dr.-Ing. João Paulo Javidi da Costa, IEEE Senior Member
Hochschule Hamm-Lippstadt, Germany

Talk title: Beyond 5G Virtual Environment for Cybersecurity Testing in V2X systems (B5GCyberTestV2X)

Schedule: December 1st, 2023, 02:00 – 03:00 PM (GMT-3, Brasilia time)

Abstract: To enable safe and efficient autonomous driving, there are still open issues and challenges, especially in the area of cybersecurity and its impact on functional safety, especially of subsystems that are Artificial Intelligence (AI)-based. Furthermore, additional challenges include the proposal of cybersecurity methods for Beyond 5G (B5G) communication. In this presentation, an overview of the activities and the current results of the project Beyond 5G Virtual Environment for Cybersecurity Testing in V2X systems (B5GCyberTestV2X) funded by the Federal Office for Information Security, in German Bundesamt für Sicherheit in der Informationstechnik (BSI), are shown. First the project involves extending current open-source solutions for 5G-based V2X and developing new functionalities for 6G-based V2X. In addition, an open source virtual environment dedicated to cybersecurity is scheduled in the project. To enhance the security of V2X communication in B5G, the team will work on developing procedures to counter jamming and spoofing attacks using localization, beamforming, AI scheduling and data fusion. The driving use cases developed in the project will be virtually validated using B5GCyberTestV2X simulation platform and measurement campaigns.



Power Systems


Prof. Dr. Marcelo Godoy Simões, IEEE Felllow Member
University of Vaasa, Finland

Talk title: Power Electronics for Energy Transformation

Schedule: November 30th, 2023, 09:00 – 10:00 AM (GMT-3, Brasilia time)

Abstract: Power Electronics is a key technology for smart-grid and renewable energy conversion systems, as well as a proven reality in industrial automation, automotive, electrification for modern high performance electric vehicles and even electric ships and aircrafts. This seminar will go through the present and future of power electronics, delving in the cutting-edge applications of AI and ML within contemporary engineering, where the primary focus is the societal need of energy transformation. The transformative potential of AI/ML algorithms within the energy sector is vast, impacting aspects like time management, efficiency optimization, sustainability enhancement, reliability assurance, and security reinforcement.

Dr. Bogdan Kasztenny, IEEE Fellow Member
Schweitzer Engineering Laboratories, Inc., United States of America

Talk title: Transient-Based Line Protection – Principles and Field Experience

Schedule: November 30th, 2023, 02:00 – 03:00 PM (GMT-3, Brasilia time)

Abstract: Fault current characteristics continue to change as more wind-powered generators and inverter-based sources are added to the electric power grid. The system fault response is not only different than in the days of large synchronous generators, but it also varies based on the source design and the utility grid code. We have three ways to tackle the rising protection challenges: fine-tune the present protective relays, enforce a better fault response of the sources, and use protection principles that are less dependent on the sources. This presentation introduces the principles of transient-based line protection, shares field experience, and shows how transient-based protection helps solve today’s line protection challenges. Transient-based protection responds to short-lived features in the relay input currents and voltages: traveling waves and fast incremental quantities. Fault transients are not powered by the sources present in the system but by the energy stored in the system components prior to the fault. Therefore, transient-based protection is independent of the source characteristics and fits very well systems with high penetration of renewable sources.

Prof. Dr. Flavio B. Costa, IEEE Senior Member
Michigan Technological University (MTU), United States of America

Talk title: Real-Time Harmonic Estimation: Addressing Interharmonic Challenges in Power Systems

Schedule: November 30th, 2023, 04:00 – 05:00 PM (GMT-3, Brasilia time)

Abstract: The increasing integration of Inverter-Based Resources (IBRs), such as photovoltaics (PV), wind turbines, electric vehicle (EV) charging stations, batteries, and more, into power systems has introduced new complexities and challenges for protection, control, operation, and monitoring of power systems. One notable complexity is the real-time harmonic estimation in complex signals with interharmonics, affecting the power quality monitoring and mitigation in such integrated environments. Based on recent groundbreaking studies, this lecture delves into the challenges and advanced solutions for real-time harmonic estimation in these scenarios.

Prof. Dr. Glauco Taranto, IEEE Senior Member
Federal University of Rio de Janeiro, Brazil

Talk title: Power System Stability as Affected by Dominated Inverter-Based Generation

Schedule: December 1st, 2023, 10:00 – 11:00 AM (GMT-3, Brasilia time)

Abstract: As the penetration of inverter-based generation (IBG) becomes a large share of the generation portfolio of bulk power systems (BPS), grand challenges appear related to power system stability, protection and control. Inertial response of synchronous machines adherent to Newton’s physical laws of movement are being replaced by control-based response of the IBG. This replacement gives rise to faster dynamics impacting the stability and the protection of the BPS. This talk will revisit the basics of power system transient stability and out-of-step protection and how they are being affected by the large penetration of IBG in power systems.

Prof. Dr. Anamika Yadav, IEEE Senior Member
National Institue of Technology, Raipur, India

Talk title: Real-Time Load Forecasting Using Artificial Intelligent Algorithms:  Field Experience  of Indian Load Dispatch Centre

Schedule: December 1st, 2023, 02:00 – 03:00 PM (GMT-3, Brasilia time)

Abstract: The estimation of load in advance is commonly known as load forecasting. Load forecasting is a technique used by power producing companies/Utilities to predict the power/energy needed to maintain an equilibrium between the demand and supply. Power system expansion planning starts with a forecast of anticipated future load requirements, Infrastructure development such as the additions to generation, transmission, and distribution system capacities, decisions on purchasing/selling power, load shedding, etc. Load forecasting has progressively become a crucial component of the energy management system of smart grid with penetration of renewable energy sources in power system network at distribution levels. In this work, an AI based approaches has been proposed for Short-Term Load Forecasting (STLF) of three Indian Load Dispatch Centers (LDCs), namely Delhi, Odisha and Chhattisgarh. A comparative approach using three models, namely LSTM, Artificial Neural Network (ANN), Gaussian Process Regression (GPR) is presented. The objective is to assess the model’s performance in predicting the stochastic behavior of electrical loads by incorporating variations in weather and temporal inputs such as temperature and wind speed. The results of the study indicate that the LSTM model outperforms the other models in terms of forecast accuracy. The input dataset combination of previous week’s load demand, temperature and wind speed features, LSTM model achieves the lowest error measures compared to ANN and GPR models. The incorporation of weather and temporal features combined with the LSTM model’s ability to capture long-term dependencies and patterns, contributes to its outstanding forecasting capability for STLF in Indian LDCs. This approach is valuable for energy planning, Electrical utilities companies, load dispatch centres, particularly in developing nations like India.