23rd ACM MSWiM 2020

In addition to scientific papers, the MSWiM 2020 program includes distinguished Keynote Speakers.

Title: Challenges Towards the Next Generation of Mobile Communications
Arturo Azcorra Director of IMDEA Networks Universidad Carlos III de Madrid Spain

Abstract: The next generation of Mobile Communications is setting very ambitious goals that require the development of totally new technologies based on recent scientific advances. The integration of computing and communications still poses many challenges not well understood well in 5G, and will demand high levels of reliability, isolation, security and efficiency. System management will most likely require the development of AI-based solutions. On the radio side, new technologies to make advantage of the THz spectrum have to be developed. For longer distances, the lower THz may be a valuable resource, while for the near environment the higher THz may provide extremely high performing network solutions.

Short Bio: Arturo Azcorra received his M.Sc. degree in Telecommunications Engineering from the Universidad Politecnica de Madrid (UPM) in 1986 and his PhD from the same university in 1989. In 1993, he obtained an MBA with honors from Instituto de Empresa.
He is the founder and current Director of the international research institute IMDEA Networks, with a double affiliation as Full Professor at University Carlos III of Madrid (UC3M). Since 2016 to date he is the Vice President of the 5TONIC Laboratory for the development of 5G Technologies. He is a member of the European Academy of Sciences (Academia Europaea), an IEEE Senior Member and an ACM SIGCOMM Member. He has been visiting researcher at MIT and UC Berkeley, among other research institutions. Since 2015 to 2018 he was the Chairman of the Expert Advisory Board of "Networld 2020" European Technology Platform. Since 2015 to date he is a member of the Partnership Board of the European 5G PPP.
He has participated in and/or directed 58 research and technological development projects, from the first EU Framework Programme to the current H2020. Prof. Azcorra has coordinated the EU projects 5G-TRANSFORMER, 5G-CROSSHAUL, TRILOGY-2 and CARMEN, and the CONTENT, E-NEXT and E-NET European Networks of Excellence.
He has served as a Program Committee Member in many international conferences, including several editions of IEEE PROMS, IDMS, QofIS, ACM CoNEXT and IEEE INFOCOM. He is the founder of the ACM CoNEXT conference series and was the general chair of its first edition. He has published over 140 scientific papers in books, international magazines and conferences.
In addition to his scientific achievements, Dr. Azcorra has a relevant track record of research management. He was deputy Vicerrector of Academic Infrastructures at U. Carlos III from 2000 to 2007. He served as Director General for Technology Transfer and Corporate Development at the Spanish Ministry of Science and Innovation from 2009 to 2010, and then appointed Director General of CDTI (Spanish agency for industrial research) from 2010 to 2012.

 
 
 

Title: Lightweight Short-term Photovoltaic Power Prediction for Mobile Edge Computing Albert Y. Zomaya Australian Research Council Professorial Fellow School of Computer Science, University of Sydney Australia

Abstract: To meet the needs for energy savings in Internet of Things (IoT) and mobile systems, solar energy has been increasingly exploited to serve as a green and renewable source to allow systems to better operate in an energy-efficient way. In this respect, accurate photovoltaics (PV) power output prediction is a prerequisite for any energy saving scheme employed in these systems. In this talk, I am going to discuss a unified training framework combined with the LightGBM algorithm to obtain a prediction model, which can provide short-term predictions of PV power output. Compared with the training in a single powerful machine, our proposed framework is more energy-efficient and fits into devices with limited computation and storage capabilities (e.g. IoT and mobile devices). The experimental results show that our proposed framework is superior to other benchmark machine learning algorithms.

Short Bio: Albert Y. ZOMAYA is currently the Chair Professor of High Performance Computing & Networking in the School of Computer Science, University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing. He published more than 600 scientific papers and articles and is author, co-author or editor of more than 25 books.
He is the Founding Editor in Chief of the IEEE Transactions on Sustainable Computing and the Editor in Chief of the ACM Computing Surveys and previously he served as Editor in Chief for the IEEE Transactions on Computers (2011-2014). He delivered more than 190 keynote addresses, invited seminars, and media briefings and has been actively involved, in a variety of capacities, in the organization of more than 700 conferences.
Professor Zomaya is the recipient of many awards, such as, the IEEE Computer Society Technical Achievement Award (2014), the ACM MSWIM Reginald A. Fessenden Award (2017), and the New South Wales Premier's Prize of Excellence in Engineering and Information and Communications Technology (2019). He is a Chartered Engineer, a Fellow of AAAS, IEEE, IET (UK), an Elected Member of Academia Europaea, and an IEEE Computer Society’s Golden Core member. Professor Zomaya's research interests lie in mobile networking and mobile computing, and mobile and distributed systems