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1 year ago @timac11
просьба изменить аффилиацию Ammar Muthanna. Он просил указать The Bonch-Bruevich St. Petersburg State University of Telecommunications
Closed kozyrevdv closed 1 year ago
kozyrevdv
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1 year ago @timac11
просьба изменить аффилиацию Ammar Muthanna. Он просил указать The Bonch-Bruevich St. Petersburg State University of Telecommunications
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1 year ago done
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1 year ago @timac11 Поступила доп.информация от Konstantin Samouylov (https://2022.dccn.ru/keynotes/samouylov). Просьба заменить фото и добавить Abstract:
Abstract
Dear Colleagues,
Mathematical analysis plays an indisputable role in almost all spheres of human activity. The world public telecommunications network is the largest technical object that a human has ever built. This network has been created since about the end of the 19th century and has survived all the stages of the development of industrial society. By 2020, 5 generations of the telecommunication network have already been created, and the scientific community is already discussing the networks of the future 6th generation of the network. At all stages, starting from the tasks set by the outstanding mathematicians Agner Erlang and Aleksandr Khinchin, engineers turned to various mathematical theories and methods both to evaluate the performance of existing networks as well as to build models of future systems, even those that have not yet passed the laboratory research stage. Almost no scientific article devoted to the R&D of telecommunication systems and networks is complete without the construction of mathematical models and their mathematical analysis. The created methods in some cases served the development of purely mathematical disciplines such, as queuing theory, coding theory, and some others. We devote this keynote to the problems of the application of mathematical analysis in telecommunications and base it on the book «Matrix and analytical methods for performance analysis of telecommunication systems» dedicated to our teacher Gely Basharin and written by Valeriy Naumov, Yuliya Gaidamaka, Natalia Yarkina, Konstantin Samouylov. Of course, it is impossible in one speech to even briefly outline a book that describes the research of RUDN University mathematicians for about 60 years. The presentation will be focused on the part where the evolution of models is sequentially presented, starting from the famous Erlang formula, and up to the Resource Loss Systems we have built, aimed at analyzing new generations of wireless networks.
Sincerely Yours, Konstantin Samouylov
@timac11
Просьба создать раздел Keynote Speakers https://2022.dccn.ru/keynotes и заполнить его. Всего 4 пленарных докладчика:
About the speaker Dr. Neeraj Kumar received his Ph.D. in CSE from SMVD University, Katra (J & K), India, and was a postdoctoral research fellow in Coventry University, Coventry, UK. He is working as an Associate Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala (Pb.), India since 2014. Dr. Neeraj is an internationally renowned researcher in the areas of VANET & CPS Smart Grid & IoT Mobile Cloud computing & Big Data and Cryptography. He is the 2019, 2020, 2021 highly-cited researcher from WoS and published more than 500 technical research papers in top-cited journals and conferences. He has guided many research scholars leading to Ph.D. and M.E./M.Tech. His research is supported by funding from various competitive agencies across the globe. His broad research areas are Green computing and Network management, IoT, Big Data Analytics, Deep learning and cyber-security. He has also edited/authored 10 books with International/National Publishers like IET, Springer, Elsevier, CRC. One of the edited text-book entitled, "Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms, and Solutions” published in Springer in 2019 is having 3.5 million downloads till 06 June 2020. It attracts attention of the researchers across the globe. He is serving as editors of ACM Computing Survey, IEEE Transactions on Sustainable Computing, IEEE Network Magazine, Elsevier Journal of Networks and Computer Applications, Elsevier Computer Communication, Wiley International Journal of Communication Systems. Also, he has organized various special issues of journals of repute from IEEE, Elsevier, Springer. He has been a workshop chair at IEEE Globecom 2018, IEEE Infocom 2020 and IEEE ICC 2020 and track chair of Security and privacy of IEEE MSN 2020. He is also TPC Chair and member for various International conferences such as IEEE MASS 2020, IEEE MSN2020. He has won the best papers award from IEEE Systems Journal in 2018, 2020 and IEEE ICC 2018, Kansas-city in 2018. He has won the best researcher award from parent organization every year from last eight consecutive years. He also won best papers award from JNCA 2021, IEEE Trustcom 2021. He also won Mid-Career Research award from IEEE Technical Committee on Scalable Computing.
Название доклада: Metaverse and Digital Twins for Industrial Automation in Next Generation Applications
Abstract In recent era, metaverse and digital twins are most powerful technologies of the modern era. With industrial revolution from Industry 4.0 to 5.0, there is a requirement of fast data transmission between different devices around the globe. Hence, there is a requirement of industrial revolution in modern 5G and upcoming 6G revolution. So, there are key challenges which need to be solved using metaverse and digital twins for applications like smart healthcare, transportation , AR/VR etc. Hence, keeping in view of the challenges of fast data transmission, issues such as data offloading, security and privacy preservation, data transmission etc. will b explored. Also, various applications related to Metaverse and digital twins will be explored in the talk.
About the speaker Prof. Dushantha N. K. Jayakody is a Senior Member IEEE, Fellow, IET, and received the Ph. D. degree in Electronics and Communications Engineering, from the University College Dublin, Ireland in 2014. He received his MSc degree in Electronics and Communications Engineering from Eastern Mediterranean University, Turkey. From 2014 - 2016, he was a Postdoc Research Fellow at University of Tartu, Estonia and University of Bergen, Norway. He also serves as the Head of Centre of Telecommunication Research, Sri Lanka Technological Campus, Sri Lanka since Jan 2019. Since 2021, he is with the Autonoma TechLab, Portugal and Deptment of Engineering and Computer Science, Universidade Autónoma de Lisboa, Portugal. From 2016 is a Professor at the School of Computer Science & Robotics, National Research Tomsk Polytechnic University (TPU), Russia. He is supervising/supervised 15 PhD students and many master and undergraduate students and 5 Postdoc researchers. In his career, so far, he has attracted nearly 6M $ research funding from many international grant agencies and has published nearly 200 international peer reviewed journal and conference papers and books. In 2021, he received the Presidential Award for his outstanding research performance. Prof. Jayakody received the Education Leadership Award from the World Academic Congress in 2019. In 2017 and 2018, he received the outstanding faculty award by National Research Tomsk Polytechnic University, Russia. He also received the Distinguished Researcher in Wireless Communications in Chennai, India 2019. Prof. Jayakody received the Presidential Award for outstanding research performance in the year 2021. He also received “Best Publication Award” at the Sri Lanka Technological Campus, Sri Lanka in 2019 and 2020.
Название доклада: Age-of-Information in UAV-assisted Wireless Networks
Abstract The internet of things (IoT), cyber-physical systems, and robotic networks all offer tremendous opportunities to use technology to improve our daily lives. The data-gathering equipment of these communication networks collects vast quantities of data simultaneously. Consequently, a large number of data chunks are transferred via wireless networks in a short amount of time, enabling communication between various nodes such as sensors, actuators, machines, autonomous cars, and drones, among other smart devices (things). In some instances, you need more than low-latency data transfer to deal with time-sensitive information. For example, it is essential to maintain the freshness of status updates at the receiver in future IoT networks, as most IoT applications are mission-critical where outdated status might lead to collateral destruction. Hence, there are extensive study attempts in the wireless communication domain that are oriented at introducing new metrics to quantify and capture the freshness of the received information. As a result, a new performance metric named the age of information (AoI) is suggested to capture the timeliness of received information. It can be defined as the time elapsed since the latest useful piece of information that reaches its intended destination has been generated at its source. Recent research in the literature relating to mission-critical real-time IoT systems is increasingly focused on AoI deviating from the traditional timeliness measures, such as latency and delay. Thus, AoI has attracted substantial interest from the wireless communications community, particularly for the design of status update systems, future time-critical applications, and mission-critical applications. On the other hand, recent research developments on AoI suggests that many well-established design principles of traditional data networks (such as providing high throughput and low delay) must be reexamined to improve information freshness in rapidly emerging real-time applications. This is since traditional data networks are intended to provide high throughput and low delay. In addition, there are two approaches to computing the average AoI, i.e., the traditional graphical analysis that calculates the area under the instantaneous AoI curve and the stochastic hybrid systems (SHS) approach that considers instantaneous AoI as a stochastic process, which has both discrete and continuous behaviors. As compared with the graphical approach, the SHS model is better suited to assessing complex wireless communication systems with transmission errors.
About the speaker Ammar Muthanna is an Associate Professor at the Department of Telecommunication networks, Deputy head of Science and Director of the Scientific Center for Modeling Wireless 5G Networks, Institute of Applied Mathematics and Telecommunications, RUDN University. He received his B.Sc. (2009), M.Sc. (2011) and as well as Ph.D. (2016) degrees from Saint - Petersburg State University of Telecommunications. 2017-2019 he worked as Postdoctoral Researcher at RUDN University. In 2012 and 2013, he took part in the Erasmus student Program with the Faculty of electrical engineering, University of Ljubljana and in 2014 visitor researcher at Tampere University, Finland. Ammar is a senior member of the IEEE and ACM member. He has been an Active Member of the Technical Program Committee on many international conferences and journals. He has been an expert at the Judges Panel and Challenge Management board at AI-5G-Challenge, ITU and Russian host organizer. Area of research: wireless communications, 5G/6G cellular systems, IoT applications, Edge computing and software-defined networking.
Название доклада: Towards 6G- Enabled Ultra Reliable Low Latency V2X Communications
Abstract 6G networks are evolving with new features and order-of-magnitude improvements in performance metrics, especially in Tbps-scale data rate, µs-scale latency, and Kbps/Hz-scale spectral efficiency. Consequently, a massive amount of devices and a high variation of applications are dramatically increasing in diverse, such as virtual/augmented reality, autonomous driving, digital twin, and Holographic communication, and beyond in different network scenarios, including smart factory, smart agriculture, and smart City. Many 6G applications are Ultra-reliable low-latency communication (URLLC) that require low end to end latency. This talk will be about URRLC applications , specifications and main requirements of URLLC applications, also will be discussed a novel network structures and technologies to enable such systems.
About the speaker Konstantin Samouylov received his PhD in probability theory from the Moscow State University, in 1985, and a Full Doctor of Sciences degree in telecommunications from the Moscow Technical University of Communications and Informatics, in 2005. During 1985-1996 he held several positions at the Faculty of Science of the Peoples' Friendship University of Russia (RUDN University) where he became a head of Telecommunications System Department in 1996. Since 2014 he is a head of the Applied Probability and Informatics Department, and since 2017 he also holds the position of Director of Applied Mathematics and Communications Technology Institute (IAM&CT) at the RUDN University. He was visiting professor/professor-research at Lappeenranta University of Technology and Helsinki University of Technology (Aalto), Finland; Moscow Technical University of Telecommunications and Informatics, Russia; Moscow International Higher Business School (Mirbis), Russia; University of Pisa, Italy. He was a member of the ITU-T SG11 and IFIP TC6 WG 6.7. He worked and works now in a number of r&d projects within different frameworks, e.g., COST IRACON, COST INTERACT, within projects of Russian Foundation for Basic Research (RFBR), TEKES (Finland) and companies including Nokia, Telecom Finland, VTT, Rostelecom, etc. He is a member of editorial boards and reviewer of several scientific magazines, he is co-chair and TPC member of several international conferences. His current research interests include applied aspects of probability theory and stochastic processes, queuing and teletraffic theory, performance analysis of 5G/6G networks, resource allocation in heterogeneous wireless networks, wireless network slicing, IAB, URLLC and eMBB. He has authored and co-authored over 250 scientific and conference papers and seven books.
Название доклада: Resource Loss Systems and Performance Analysis of Wireless Networks.