Plenary Speakers

Power Systems

Prof. Dr. Mladen Kezunovic

Regents Professor

Texas A&M University

Big Data Analytics for Predicting, Managing and Mitigating Outages

The topic of Big Data and associated analytics became prominent as the huge amounts of data became available through the space exploration, weather forecasting and medical biogenetic investigations. Social media and outlets such as Google, YouTube, Facebook, Amazon and others have also faced similar problems of handling huge data sets.  The power systems are now experiencing huge amount of data obtained through field measurements and external sources such as variety of weather and other ambient data. This talk focuses on the role of Big Data analytics in managing and controlling future power system by predicting power system outages at different spatiotemporal scales.  This talk focuses on importance of outage prediction, and gives examples how the Big Data analytics are recently used to successful predict transmission and distribution faults, as well as participation of distributed energy resources in various grid services. Future trends are also discussed.

Short Biography

Dr. Mladen Kezunovic has been with Texas A&M University, College Station, TX, USA, since 1986 where he holds titles of Regents Professor, Eugene E. Webb endowed Professor, and Site Director of “Power Engineering Research Center” consortium. He is also the Principal of XpertPower Associates, a consulting firm specializing in power systems data analytics for the last 30 years. His expertise is in protective relaying, automated power system disturbance analysis, computational intelligence, data analytics, and smart grids. He has authored over 650 papers and 10 books and book chapters, given over 120 seminars, invited lectures, and short courses, and consulted for over 50 companies worldwide. Dr. Kezunovic is an IEEE Life Fellow, and a CIGRE Fellow, Honorary and Distinguished Member. He is a Registered Professional Engineer in Texas.


Prof. Dr. Vladimir Terzija, Humboldt Fellow, IEEE Fellow

Skoltech, Moscow, Russian Federation,

Communication Infrastructure Enabled and Data-driven Monitoring, Protection and Control of Future Power/Energy Systems

As a result of high penetration of Converter Interfaced Generation (CIG), also called nonsynchronous generation, converter connected demand and mixed ac-dc transmission and even distribution networks, the nature of operation of modern electrical power systems became a challenge. The nature of the entire system became more complex, expressed in quite a new dynamics, requesting new approaches for monitoring, protection and control of such an important system, the system playing one of the most critical role in progressing modern societies, the system enabling functioning of other critical infrastructures in all countries. On the other hand, availability of modern sensor and ICT technology opened new paradigms for coping with previously described challenges. The presentation is aiming at addressing new approaches of monitoring, protecting and controlling of future electrical power systems. In this context, some of typical PMU-based Wide Area Monitoring, Protection and Control applications, also model-free and data driven, will be discussed and presented. Experience gathered from 3 flagship and large-scale projects funded by Ofgem (UK) Network Innovation Competition, VISOR, EFCC and FITNESS projects, will be summarized and also discussed from the perspective of their extension to another level: integration of different energy systems and approaches for their operation, fostering flexibility and resilience of a particular integrated energy system. Approaches based on Data Science, AI/Machine Learning, used in the AMPaC Megagrant project (https://ampac.skoltech.ru/), will be presented, too. The presentation will also attempt to demonstrate some of results achieved through hardware in the loop testing using Real-time Digital Simulator (RTDS).

Short Biography

Vladimir Terzija was born in Donji Baraci (former Yugoslavia). He received the Dipl-Ing., M.Sc., and Ph.D. degrees in electrical engineering from the University of Belgrade, Belgrade, Serbia, in 1988, 1993, and 1997, respectively. He is a Full Professor at Skoltech, Moscow, Russian Federation. He is also a Distinguished Professor at the Shandong University, Jinan, China, where he has been since 2013. From 1997 to 1999, he was an Assistant Professor at the University of Belgrade, Belgrade, Serbia. From 2000 to 2006, he was a senior specialist for switchgear and distribution automation with ABB, Ratingen, Germany. From 2006 to 2020 he was the Engineering and Physical Science Research Council (EPSRC) Chair Professor in Power System Engineering with the School of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K. His current research interests include smart grid applications; wide-area monitoring, protection, and control; multi-energy systems; switchgear and transient processes; ICT, data analytics and digital signal processing applications in power systems. Prof. Terzija is Editor in Chief of the International Journal of Electrical Power and Energy Systems, Alexander von Humboldt Fellow, Fellow of IEEE, as well as a DAAD and Taishan Scholar. He is the recipient of the National Friendship Award, China (2019).


Prof. Dr. Anamika Dubey

WSU Pullman, USA

Distribution System Resilience: Modeling and Optimization

Extreme weather events threaten the power delivery infrastructure causing an extended disruption of electricity supply to the critical services. Recent fire-related damages caused by high-voltage transmission lines coupled with dry weather are costing billions of dollars annually, with the only practical solution being de-energizing the lines and disrupting the power supply to millions of customers. Most impacts are observed at the mid and low voltage distribution systems due to inadequate incorporation of resilience at the distribution level. The changing nature of the grid and extreme weather events motivate new mechanisms to manage grid operations by leveraging smart grid technologies. For example, the recent extended outage in Texas due to resource adequacy concerns from an unusual cold front motivates new operational solutions to partially support critical and non-critical services.  This tutorial will introduce the approach to model and quantify the impacts of extreme weather events on the power distribution grid and discuss planning and operational solutions to improve the distribution grid resilience. The use cases will be demonstrated using standard distribution test feeders.

Short Biography

Dr. Anamika Dubey received her Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin in Dec 2015. She is currently an Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University, Pullman, WA. Her research is focused on the model-based and data-driven methods for decision-support in large-scale electric power distribution systems for improved efficiency, operational flexibility, and resilience. She is a recipient of the National Science Foundation (NSF) CAREER Award. She serves as the Associate Editor for IEEE Transactions on Power Systems, IEEE Power Engineering Letters, and IEEE Access. She is the current secretary of IEEE PES Distribution Systems Analysis Subcommittee and IEEE PES University Education Subcommittee and serves as PES Chapter Chair for the IEEE Palouse Section.


Prof. Dr. Luiz Carlos Pereira da Silva

Associate Professor

University of Campinas, UNICAMP

MERGE – Microgrids for Efficient, Reliable and Greener Energy

Microgrids are a strong alternative for the evolution of traditional electrical systems towards a more flexible and resilient network. Although microgrids are often deployed in remote communities and military bases to provide energy independence and continuity, these benefits can easily be extended to local communities, university campuses, and even manufacturing centers. In the Brazilian case, these benefits are even more relevant, as electricity consumers suffer interruptions in supply for an average of 14.35 hours per year (2017). These supply interruptions are estimated to have an impact of U$ 84,5 million. Microgrids are a clear alternative to combat interruption and have the potential to improve other aspects of the electricity supply. A microgrid, properly planned and operated, can reduce losses, increase the efficiency of renewable energy and create new business models. It is estimated that around U$ 570 million will flow into the microgrids market in Brazil by 2025, and spending on global implementation is expected to reach almost US$ 112 billion by 2026. The different technologies related to distributed renewable sources, energy storage, demand management, smart metering and sensing, electric vehicles, advanced communication systems, management systems, and optimization of distributed resources; appear independently and with different technical and commercial maturity levels. Microgrids emerge with the primary function of coordinating and merging different technologies in a single platform. As a result of this coordinated operation, operating the micro-grids in isolation from the main network is possible since the design of a micro-network already includes physical and management resources to make this operation feasible. In this context, this project seeks to develop knowledge to anticipate opportunities, support norms, suggest standards, face threats and generate added value through the study of the implementation of real applications. Microgrids will be developed, tested, and operated in both normal (connected) and emergency (island) modes. In addition, the distribution network will be integrated to increase efficiency, reliability, service quality, and energy quality. The integration will also allow reducing losses, greenhouse gas emissions, and maximizing renewable resources.

Short Biography

Dr. Luis Carlos Silva graduated in Electrical Engineering from the Federal University of Goiás (1994). He received a master degree in Electrical Engineering from the State University of Campinas (1997) and Ph.D. degree in Electrical Engineering from the State University of Campinas (2001). In 1999 he participated in the sandwich doctoral program at the University of Alberta-Canada, and in 2008 he was a visiting professor at the Technical University of Denmark – DTU. He is currently an associate professor MS5.3 at the State University of Campinas. He has experience in Electrical Engineering, with an emphasis on Electric Power Transmission, Electric Power Distribution. He received the UNICAMP’s Zeferino Vaz academic excellence award in 2012.


Communication Networks

Prof. Dr. Aldebaro Klautau

UFPA, Brazil

Datasets and Standardized Artificial Intelligence for 5G and 6G with Applications in MIMO Beamforming, Sensing and Smart Grids

Artificial intelligence (AI), such as machine learning (ML) methods using deep neural networks, will be increasedly used to optimize the performance of future mobile networks.
In 5G and 6G networks, AI/ML will be used together with network slicing and other techniques to support use cases with very different requirements. But AI/ML for communications has not reached the maturity observed in other areas. Different from, e.g., computer vision and speech recognition, communications heavily rely on standards (3GPP, ITU, etc.) and design and assessment methodologies for model-based algorithms. To make AI/ML for communications vigorously expand, these two aspects need to be taken in account. Therefore, this talk discusses ongoing standardization efforts to facilitate AI/ML in 5G/6G, as well as data-driven methodologies to generate realistic datasets and design ML algorithms that outperform model-based ones in rigourous benchmarks. A brief introduction to deep supervised and reinforcement learning is also provided. The talk is concluded with selected examples of AI/ML in 5G/6G for MIMO beamforming, sensing using communication systems, digital twins and smart grids.

Short Biography

Aldebaro Klautau received the bachelor (Universidade Federal do Pará, UFPA, 1990), M. Sc. (Universidade Federal de Santa Catarina, UFSC, 1993) and Ph. D. degrees (University of California at San Diego, UCSD, 2003) in Electrical Engineering. Since 1996, he has been with UFPA and is now full professor, the ITU Focal Point, and directs the LASSE Research Group. He was a visiting scholar at Stockholm University, UCSD and The University of Texas at Austin. He is a researcher of the Brazilian National Council of Scientific and Technological Development (CNPq) and INESC Brazil. He is also a senior member of the IEEE and of the Brazilian Telecommunications Society (SBrT). His work focuses on machine learning and signal processing for communications and embedded systems.


Prof. Dr. Hirley Alves

University of Oulu

A Walkthrough MTC evolution toward 6G: key drivers, requirements, and use-cases

Machine-type Communication (MTC) has revolutionized the wireless communications industry by shifting the focus from broadband towards the Internet of Things (IoT). Initially, within 5G, two service modes were introduced to cover a large number of use-cases: massive MTC (mMTC) and critical MTC (cMTC) (often referred to as ultra-reliable low-latency communication (URLLC)). mMTC focuses on providing connectivity to several devices that are often battery constrained with limited computational capability and heterogeneous and sporadic traffic patterns. On the other end is cMTC aimed at ultra-reliable low latency communication stringent needs on resilience and dependability. However, despite the accomplishments achieved so far with 5G, these service modes are not enough. As a result, we are experiencing the emergence of novel service classes mixing massive and critical MTC requirements with the broadband ones, creating a palette of novel services. Such services will be prominent in the next generation, 6G. Therefore, in this keynote, we will walk through the MTC (r)evolution and present key drivers, requirements, and use-cases towards 6G.

Short Biography

Hirley Alves (S’11–M’15) is Assistant Professor and Head of the Machine-type Wireless Communications Group at the 6G Flagship, Centre for Wireless Communications, University of Oulu. He is actively working on massive connectivity and ultra-reliable low latency communications for future wireless networks, 5GB and 6G, full-duplex communications. In addition, he leads the MTC/URLLC activities for the 6G Flagship Program. He has received several awards and has been the organizer, chair, TPC, and tutorial lecturer for several renowned international conferences. He is the General Chair of the ISWCS’2019 and the General Co-Chair of the 1st 6G Summit, Levi 2019, and ISWCS 2021.


Dr. Fabiano Chaves

Nokia

Spectrum access evolution to enable next mobile networks generations  

Increasing demand and use of spectrum is a trend that has been observed since the first generations of mobile networks, and their communication channels some hundreds of kilohertz-wide, up to 5G and its capability of operating with gigahertz-wide blocks of spectrum. There is no indication of a change in this trend – on the contrary, the envisaged future mobile networks and applications have as one of their enablers the use of more spectrum in a more efficient way. In this talk we will discuss ongoing and future developments in the spectrum management domain for enablement of next generations of commercial mobile networks.  

Short Biography

Fabiano Chaves has over 18 years of experience in telecommunications, with activities spanning from research on wireless systems and networks to spectrum research, strategy, regulation and standardization. He is currently a Senior Standardization Specialist at Nokia.

In this role, Fabiano is responsible for providing technical support and advice for the definition of Nokia’s spectrum strategy, as well as for engaging on spectrum standardization and policy work. He has been continuously contributing to international regulatory bodies such as ITU-R, CEPT and CITEL, and national regulatory authorities such as the Federal Communications Commission (FCC) in the U.S. in overall radio system aspects of International Mobile Telecommunications (IMT), radio propagation and coexistence between IMT and other systems. Fabiano is a member of the FCC’s Advisory Committee for the 2023 World Radiocommunication Conference. He has also been engaged in industry groups such as Global Mobile Suppliers Association (GSA), CTIA, GSMA, WInnForum and National Defense Industry Association (NDIA).

With extensive background in mobile systems and networks and spectrum management, he is author of several publications and patents. He received his Ph.D. degree in telecommunications from the Ecole Normale Superieure de Cachan (ENS-Cachan), France, and the University of Campinas (Unicamp), Brazil.


Dr. Júlio César Rodrigues Fernandes de Oliveira

CEO Idea Sistemas Eletrônicos, IDEA

Power Savings at High-Speed Data Transmission – Beyond 100Gb/s

Convergence between Photonics and Microelectronics is the path to keep following the Moore law at power savings perspective. In this talk the design of integrated photonics circuits, processing data in photonics domain, will be discussed highlighting its combination with low power ASIC design. The combination of this technologies are leading the path for power savings at high speed data transmission, allowing data paths from 100Gb/s to 1.2 Tb/s.

Short Biography

R&D executive and team leader with history of innovation, building technology ecosystems to achieve high technology goals at optical communications field. Bachelor, Electrical Eng., 2003, UFCG-Brazil; Master, Electrical Eng. (Photonics), UNICAMP-Brazil, 2004, and Ph.D, UNICAMP-Brazil, Electrical Eng. (Photonics), 2007. From 2004 to 2014 took, researcher and general manager positions at optical communications systems and photonics devices divisions at CPqD Foundation. Founder and CEO of BrPhotonics, a high-tech startup with accelerated growth in optical communications area developing high end products, LASERs, Modulators, ASICs. Founder of PI-TEC Product Technologies, 2017, and JCRFO Technical Consultancy, 2017, and actual CEO at Idea Electronic Systems, companies acting at high end telecom and Datacom markets, developing deep submicron ASICs and highly integrated photonics devices. Over 18 years of experience in optical communications field, lead 12 optical communications R&D projects (more than USD50M budget), producing 15 patents (INPI), 140+ papers and 20 technological products currently in optical communications market. Entrepreneur of the Year by the Unicamp Innovation Agency in 2020 and Winner of the CBMM Science and Technology 2021 award – in the Technology category – recognized as a professional who has considered relevant to the country in the development of practical applications.