Announchments

On Tuesday 18 March at 1.00 p.m. in room B1_10, a lecture will be given by Dr Elisabet Arnó Macià, Associate Professor from the Universitat Politècnica de Catalunya, Spain, on ACADEMIC WRITING AND ACADEMIC SKILLS. The lecture will be given in the context of the course ENGLISH II-ACADEMIC SKILLS. Dr Arnó, teaches English for Special and Academic Purposes to students of the Technical University of Barcelona. She is also Deputy Director of Internationalization at the Faculty of Engineering at Campus Vilanova i la Geltrú (Barcelona) and local coordinator of the European Project Semester (EPS) program. https://europeanprojectsemester.eu/ https://www.researchgate.net/profile/Elisabet-Arno

Thursday, 30 May 2024, 17:00 – 16:30 GR Time (16:00-17:30 CET) https://zoom.us/my/uowm.ece1 Abstract: Next-generation wireless networks are expected to utilize the limited radio frequency (RF) resources more efficiently with the aid of intelligent transceivers and wireless environments. To this end, the concept of stacked intelligent metasurfaces (SIM) was born. A SIM is constructed by stacking an array of programmable metasurface layers, where each layer consists of a massive number of low-cost passive meta-atoms that individually manipulate the electromagnetic (EM) waves. By appropriately configuring the passive meta-atoms, an SIM is capable of accomplishing advanced computation and signal processing tasks, such as multiple-input multiple-output (MIMO) precoding/combining, multi-user interference mitigation, and radar sensing, as the EM wave propagates through the multiple layers of the metasurface, which effectively reduces both the RF-related energy consumption and processing delay. Moreover, it is expected to become a key enabling technology for sensing in the wave domain. Biography: Marco Di Renzo (Fellow, IEEE) received the Lau- rea (cum laude) and Ph.D. degrees in electrical engineering from the University of L’Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation a` Diriger des Recherches (Doctor of Science) degree from University Paris-Sud (currently Paris-Saclay University), France, in 2013. Currently, he is a CNRS Research Director (Professor) and the Head of the Intelligent Physical Communications group in the Laboratory of Signals and Systems (L2S) at Paris-Saclay University – CNRS and Centrale Supelec, Paris, France. Also, he is an elected member of the L2S Board Council and a member of the L2S Management Committee, and is a Member of the Admission and Evaluation Committee of the Ph.D. School on Information and Communication Technologies, Paris-Saclay University. He is a Founding Member and the Academic Vice Chair of the Industry Specification Group (ISG) on Reconfigurable Intelligent Surfaces (RIS) within the European Telecommunications Standards Institute (ETSI), where he served as the Rapporteur for the work item on communication models, channel models, and evaluation methodologies. He is a Fellow of the IEEE, IET, and AAIA; an Academician of AIIA; an Ordinary Member of the European Academy of Sciences and Arts, an Ordinary Member of the Academia Europaea; and a Highly Cited Researcher. Also, he holds the 2023 France-Nokia Chair of Excellence in ICT, and was a Fulbright Fellow at the City University of New York (USA), a Nokia Foundation Visiting Professor (Finland), and a Royal Academy of Engineering Distinguished Visiting Fellow (UK). His recent research awards include the 2021 EURASIP Best Paper Award, the 2022 IEEE COMSOC Outstanding Paper Award, the 2022 Michel Monpetit Prize conferred by the French Academy of Sciences, the 2023 EURASIP Best Paper Award, the 2023 IEEE ICC Best Paper Award, the 2023 IEEE COMSOC Fred W. Ellersick Prize, the 2023 IEEE COMSOC Heinrich Hertz Award, the 2023 IEEE VTS James Evans Avant Garde Award, and the 2023 IEEE COMSOC Technical Recognition Award from the Signal Processing and Computing for Communications Technical Committee. He served as the Editor-in-Chief of IEEE Communications Letters during the period 2019-2023, and he is now serving on the Advisory Board. He currently serves as a Voting Member of the Fellow Evaluation Standing Committee and as the Director of Journals of the IEEE Communications Society. Files: 0invited_speaker_marco_di_renzo.pdf

Professor Michalis Matthaiou, Queen’s University Belfast, United Kingdom.Thursday, 14 December 2023, 14:00 – 15:30 Gr Time (15:00-16:30 CET) https://zoom.us/my/uowm.ece1 Abstract: The next generation multiple access (NGMA) techniques are expected to achieve massive and ubiquitous access for a large number of devices and provide high spectral efficiency in ultra-dense networks. To meet these unprecedented mobile traffic demands, a paradigm shift from the conventional cellular networks towards distributed communication systems is required. Cell-free massive multiple-input multiple-output (CF-mMIMO) is considered as a practical and scalable embodiment of the distributed/ network MIMO systems, which inherits not only the key benefits from colocated massive MIMO systems, but also the macro-diversity gain from the distributed systems. In this paper, we provide an overview of current research efforts on the CF-mMIMO systems and their promising future application scenarios. Then, we elaborate on the new requirements for CF-mMIMO networks and propose a unifying framework for NGMA based on virtual full-duplex and CF-mMIMO. Biography: Michalis Matthaiou is the Chair Professor of Communications Engineering and Signal Processing and Deputy Director of the Centre for Wireless Innovation (CWI) at Queen’s University Belfast, U.K. Under his co-leadership, CWI has become the largest physical layer wireless base in the UK. His research interests span signal processing for wireless communications, beyond massive MIMO, intelligent reflecting surfaces, mm-wave/THz systems and deep learning for communications. He has published in excess of 280 papers on these topics, including some 130 IEEE journal papers. Dr. Matthaiou and his coauthors received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2017. He currently holds the ERC Consolidator Grant BEATRICE (2021-2026) focused on the interface between information and electromagnetic theories. To date, he has received the prestigious 2023 Argo Network Innovation Award, the 2019 EURASIP Early Career Award and the 2018/2019 Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellowship. His team was also the Grand Winner of the 2019 Mobile World Congress Challenge. He is currently the Editor-in-Chief of Elsevier Physical Communication, a Senior Editor for IEEE Wireless Communications Letters and IEEE Signal Processing Magazine, and an Associate Editor for IEEE Transactions on Communications. He is an IEEE Fellow. The lecture is available at: https://www.youtube.com/watch?v=7c5r-e_ZuM0&ab_channel=eceuowm

Symeon Chatzinotas (Full Professor/Chief Scientist and Head of the research group SIGCOM in the Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg) Wednesday, 29 November 2023, 15:00 – 16:30 CET (16:00-17:30 GR time)Bridge: https://zoom.us/my/uowm.ece1 Abstract: The quantum domain has brought forward many innovations across computing, communication and sensing. This talk focuses on two distinct areas: 1) Quantum Communication Infrastructure, 2) Quantum Optimization for Communication Problems. In the first area, we elaborate on the architectural and technological elements towards building a QKD network. Subsequently, we describe the longer-term vision towards a Quantum Internet and the role of entanglement as a new form of network resource. In the second area, we describe typical optimization problems which are challenging for large-scale communications and can benefit from a potential quantum supremacy in the future. Early results are presented in this direction, as well as a roadmap for future open topics. Biography:Symeon Chatzinotas (MEng, MSc, PhD, FIEEE) is currently Full Professor/Chief Scientist and Head of the research group SIGCOM in the Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg. In parallel, he is an Adjunct Professor in the Department of Electronic Systems, Norwegian University of Science and Technology and a Collaborating Scholar of the Institute of Informatics & Telecommunications, National Center for Scientific Research “Demokritos”.     In the past, he has lectured as Visiting Professor at the University of Parma, Italy and contributed in numerous R&D projects for the Institute of Telematics and Informatics, Center of Research and Technology Hellas and Mobile Communications Research Group, Center of Communication Systems Research, University of Surrey.     He has received the M.Eng. in Telecommunications from Aristotle University of Thessaloniki, Greece and the M.Sc. and Ph.D. in Electronic Engineering from University of Surrey, UK in 2003, 2006 and 2009 respectively.     He has authored more than 800 technical papers in refereed international journals, conferences and scientific books and has received numerous awards and recognitions, including the IEEE Fellowship and an IEEE Distinguished Contributions Award. He is currently in the editorial board of the IEEE Transactions on Communications, IEEE Open Journal of Vehicular Technology and the International Journal of Satellite Communications and Networking. The Lecture is available at: https://www.youtube.com/watch?v=oJrivemk9ck&ab_channel=eceuowm Files: picture1.png picture2.jpg 0invited_speaker_template_en.pdf

Dr. Tariq Osman Andersen Associate Professor Dept. Of Computer Science University of Copenhagen Wednesday, 18 October 2023, 15:00 – 17:00 Auditorium AP1_8, Campus ZEP, Kozani Department of Electrical and Computer Engineering Abstract: Artificial Intelligence (AI) in medical applications holds great promise. However, the use of Machine Learning based (ML) systems in clinical practice is still minimal. It is uniquely difficult to introduce clinician-facing ML-based systems in practice, which has been recognised in HCI and related fields. Recent publications have begun to address the sociotechnical challenges of designing, developing, and successfully deploying clinician facing ML-based systems. We will discuss the question: “How can HCI researchers and practitioners contribute to the successful realisation of ML in medical practice?” The main items to be discussed are: (1) an overview of the technical aspects of ML innovation and their consequences for HCI researchers and practitioners; (2) a description of the different roles that ML-based systems can take in clinical settings; (3) a conceptualization of the main activities of medical ML innovation processes; (4) identification of five sociotechnical interdependencies that emerge from medical ML innovation; and (5) implications for HCI researchers and practitioners on how to mitigate the sociotechnical challenges of medical ML innovation. Biography: Tariq Osman Andersen is Associate Professor of Health Informatics at the Department of Computer Science, University of Copenhagen. His research focuses on AI in digital health and explores how co-design and sociotechnical evaluation can support realising machine learning based systems in healthcare. Tariq’s main research fields are Human-Computer Interaction and Health Informatics. Among other things, Tariq has contributed to understanding patient experience with self-care technologies, distributed patient-clinical collaboration and clinical decision making using AI. Tariq has experience from being PI and co-PI on several national and international R&D projects. Here, Tariq has been the main driver of establishing and maintaining a Living Lab with more than 300 pacemaker patients at Copenhagen University Hospital. This work has led to the co-founding of a digital health spinout, Vital Beats ApS. Tariq is currently bringing his experience into R&D collaborations with several start-ups to support design and transition of machine learning based applications into real world clinical practice including radiology, cardiology and dermatology. The lecture is available at: https://www.youtube.com/watch?v=loLdytOHef4&t=911s&ab_channel=eceuowm

The international Huawei ICT Academy program aims to provide knowledge, develop skills and certify students in subjects that have a direct impact on industry and the labor market. Through the Academy, students can participate in international competitions, such as the ICT Competition, claiming distinctions and receiving employment opportunities and/or scholarships from Huawei depending on their performance, as well as in other actions and initiatives, such as the ICT Talent Alliance Job Fair, achieving the direct connection of students and companies active in the field of ICT. Participants and competition period: Huawei ICT Academy 2023 ELearning students Department of Information and Electronic Engineering (International Hellenic University) Democritus University of Thrace Technical University – Gabrovo University of Western Macedonia -Department of Electrical and Computer Engineering University of Macedonia ICT Academy University of Western Macedonia Software & Interactive Technologies Lab, School of Informatics, Aristotle University of Thessaloniki University of Piraeus – Dept. of Digital Systems Sofia University Technical University of Sofia ESDALAB-DIH- University Peloponnese   Competition Achievement- Students: Register Associate with your university ELearning a course after get approval of your association   Registration link: https://lnkd.in/dgUqZbBr

Title: «Virtual Reality Visions from Sci-fi» Jorge C. S. Cardoso Assistant Professor Dept. of Informatics Engineering, University of Coimbra Wednesday, 5 April 2023, 11:00 – 13:00 Auditorium, Department of Electrical and Computer Engineering, ZEP Campus. Files: invited_speaker___jorge_cardoso.pdf