{"id":1336,"date":"2021-05-06T15:24:17","date_gmt":"2021-05-06T14:24:17","guid":{"rendered":"https:\/\/iwssip2023.feit.ukim.edu.mk\/?page_id=1336"},"modified":"2023-06-23T16:12:21","modified_gmt":"2023-06-23T15:12:21","slug":"program","status":"publish","type":"page","link":"https:\/\/iwssip2023.feit.ukim.edu.mk\/?page_id=1336","title":{"rendered":"Program"},"content":{"rendered":"\t\t
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Conference Program<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The Preliminary Program for IWSSIP 2023 is now available.<\/p>\n

Instructions for authors<\/strong><\/p>\n

Presenters will be allocated a maximum of 15 minutes for their presentation plus an additional 3 minutes for Q&A. All presentations are encouraged to be provided in pdf, odp, ppt or pptx format, prepared with Microsoft PowerPoint, LibreOffice Impress, Google Slides, Latex Beamer or equivalent. Presenters are required to bring their presentation on a USB flash drive or provide an online link to the session chair in the meeting room 15 minutes prior to the start of the session.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t<\/i>\t\t\t<\/span>\n\t\t\t\t\t\tProgram at a glance<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t<\/i>\t\t\t<\/span>\n\t\t\t\t\t\tTechnical sessions<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Keynotes<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\"\"<\/figure>

Jaap van de Beek<\/h3>

Lule\u00e5 University of Technology
Lule\u00e5, Sweden<\/p><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Meta Surfaces for Cellular Networks: From Idea To Impact<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\tMeta surfaces, also known as reconfigurable intelligent surfaces, have emerged as a technology that potentially can improve the performance of cellular networks. The potential improvement of energy- and spectral efficiencies has motivated researchers to direct time and resources towards challenges in this domain. After initial years of curiosity and enthusiasm, academic researchers continue to embrace the technology, but engineers in industry are taking a more cautious stance. Can the technology live up to its promises? What are the scenarios where these surfaces will add value? What are the use cases that justify further exploration? In this keynote talk, we take a journey through the evolution of this promising technology, from its initial idea to its current state of the art. We explore the fundamental concept of meta surfaces, their potential use in cellular networks and the latest advancements. But we also review intrinsic limitations and challenges and we attempt to assess key factors that eventually determine whether and where this technology will hit.\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Jaap van de Beek is chaired professor of Signal Processing with Lule\u00e5 University of Technology, Sweden, and a Fellow of the IEEE. After spending over two decades in industry, in telecommunications research labs with Telia Research, Nokia Networks, and Huawei Technologies, he returned to academia in 2013, where his research continues to focus on radio networks, technologies and solutions. In different roles he has been involved in the various generations of mobile cellular communications systems. He developed base station receiver algorithms for GSM evolution systems. He was among those pioneering OFDM as an access scheme for cellular radio in the late nineties, and he has been contributing to the preparation and specification of 3GPP’s fourth generation LTE standard, for which he holds a number of essential patents. More recently, he has been developing methods that effciently reduce spectral interference of radio transmitters, work for which he received the IEEE Communications Society Heinrich Hertz award. Today, he explores the potential that reconfigurable meta surfaces bring to sensing and communication. Beyond the physical layer of radio access networks, Prof. van de Beek also engages in improving Internet access, wireless network connectivity and cellular radio coverage in rural and remote regions. His research interests extend to technologies, systems, regulatory instruments and business models that help provide ubiquitous coverage and connectivity, for all.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Big Data Analytics for Natural Disaster Management<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Natural Disaster Management (NDM, e.g., for wildfires, floods) can be greatly improved by automating precise semantic 3D mapping and disaster evolution prediction to achieve NDM goals in near-real-time. To this end, many heterogeneous extreme data sources must be analyzed and fused: smart drone and in-situ sensors, remote sensing data, topographical data, meteorological data\/predictions and geosocial media data (text, image and videos). The lecture focus is on the extreme nature of the data, due to their varying resolution and quality, very large volume and update rate, different spatiotemporal resolutions and acquisition frequencies, real-time needs and multilingualism. Extreme data analytics can help developing an integrated, ground-breaking NDM platform, focusing on real-time semantic extraction from multiple heterogeneous data modalities and sources, on-the-fly construction of a meaningful semantically annotated 3D disaster area map, prediction of disaster evolution and improved communication between service providers and end-users, through automated process triggering and response recommendations. Semantic analysis computations will be distributed across the edge-to-cloud continuum, in a federated manner, to minimize latency. Extreme data analytics will be performed in a trustworthy and transparent way, by greatly advancing state-of-the-art AI and XAI approaches. The constantly updated 3D map and the disaster evolution predictions will form the basis for an advanced, interactive, Extended Reality (XR) interface, where the current situation will be visualized and different response strategies will be dynamically evaluated through simulation by NDM personnel. An innovative, scalable and efficient implementation platform will provide precise NDM support, based on extreme data analytics.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities. His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image\/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 920 papers, contributed to 45 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote\/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 73+ R&D projects, primarily funded by the European Union and is\/was principal investigator in 43 such projects. He is AUTH principal investigator in H2020 R&D projects Aerial Core, AI4Media (one of the 4 H2020 ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe, SIMAR. He is chair of the International AI Doctoral Academy (AIDA)<\/a>. He was chair and initiator of the IEEE Autonomous Systems Initiative<\/a>. Prof. Pitas lead the big European H2020 R&D project MULTIDRONE<\/a>: He has 34700+ citations to his work and h-index 87+. According to https:\/\/research.com\/<\/a> he is ranked first in Greece and 319 worldwide in the field of Computer Science (2022).<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\"\"<\/figure>

Ioannis Pitas<\/h3>

Aristotle University of Thessaloniki
Thessaloniki, Greece<\/p><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Zabih Ghassemlooy<\/h3>

Northumbria University
Newcastle upon Tyne, United Kingdom<\/p><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Optical Wireless Communication At A Glance<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This talk will focus on Optical Wireless Communication in relation to next generation wireless networks for a variety of applications, more specifically Internet of Things. The presentation will describe what optical wireless communication is, how it has developed over the past two decades, some of the challenges and issues it faces, and what the future holds for it. In contrast to a one-way presentation, the talk aims to engage the audience and stimulate discussion around the topic as much as possible.

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