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STA-1: Disruptive Technology Directions for 5G
Chair: Prof. Petar Popovski, Aalborg University, Denmark |
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STA-2: IoT – The Future of Smart Technologies and Intelligent Infrastructures
Chair: Prof. Liljana Gavrilovska, Ss. Cyril and Methodius University, Macedonia |
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STA-3: Bioelectromagnetic Medicine and Bioinformatics
Chair: Prof. Andrzej Krawczyk, Czestochowa University of Technology, Poland |
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Outline: Electromagnetic field plays an essential role in contemporary medicine, especially in orthopaedics, rehabilitation and neurology. The electromagnetic field is involved both in therapy and diagnostics, and used wide spectrum of frequency, from static magnetic or electric field to the range of GHz. Also, in the contemporary medicine the bioinformatics is widely used, for example in medical images analysis, computer analysis of some changes in organism, like movement in rehabilitation processes. There are also the big areas of medicine, which are telemedicine or IoT, in which both electromagnetic processes and computer analyses are essentially involved. It is the roughly scope of the Special Session and the papers concern the topics mentioned above are welcome. It does not mean, however, that the Session is closed for the papers which are not strongly linked with the topics mentioned. There are so many ideas which link very different areas of science, medicine and technology that one can expect also quite unexpected topics of the papers submitted.
MORE INFO: STA-3 CfP
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STA-4: Nanoelectronics and nanophotonics
Chair: Prof. Stephen Goodnick, Arizona State University, USA |
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STA-4: Nanoelectronics and nanophotonics
Co-Chair: Prof. Dragica Vasileska, Arizona State University, USA |
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STA-5: Complex Networks and Systems
Chair: Prof. Georgi Dimirovski, Dogus University, Turkey &
Ss. Cyril and Methodius University, Macedonia
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STA-6: Ultra High Speed Wireless and Optical Technologies for 5G
Chair: Prof. Eckhard Grass, IHP - Innovations for High Performance Microelectronics and Humboldt-Universität zu Berlin, Germany,
grass@ihp-microelectronics.com,
Co-Chair: Dr. Jim Zou, ADVA Optical Networking SE, Germany,
JZou@advaoptical.com
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Outline: The upcoming 5G networks are expected to provide users with a multitude of services at unprecedented data rates and high reliability. The development of a flexible transport net-work that meets the stringent demands of future mobile access is of critical importance, con-sidering the limited radio resources and current state of technology. Novel architectures and technologies need to be developed for both wireless and optical communications. The convergence of these two technology domains offers the combined benefits of flexibility and high capacity and is thus of significant interest. The goal of the Special Thematic Area is to identify and discuss the challenges and recent advances in the area of ultra-high speed connectivity for 5G networks. Authors are invited to submit their work on the following list of topics. Submissions on architectural aspects of converged wireless and optical transport networks are particularly welcome.
MORE INFO: STA-6 CfP v1.2
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STA-7: Hybrid Intelligent Systems
Chair: Prof. Yuanwei Jing, Northeastern University, Shenyang, P. R. China
Co-Chair: Prof. Georgi Dimirovski, Dogus University, Turkey &
Ss. Cyril and Methodius University, Macedonia
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STA-8: Advanced Switching Based Systems
Chair: Prof. Jun Zhao, Northeastern University, Shenyang, P. R. China
Co-Chair: Prof. Georgi Dimirovski, Dogus University, Turkey & Ss. Cyril and Methodius University, Macedonia |
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STA-9: Smart Technologies in Drives and Control
Chair: Prof. Alberto Tessarolo, University of Trieste, Italy |
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Outline: This Special Thematic Area (STA) is devoted to ideas, developments, research and surveys on “smart technologies” in the field of electric drives and automatic control applications. The current attempt to improve the performance, efficiency, environmental sustainability, economic competitiveness, reliability and flexibility of electric and electronic equipment used in drive and automation systems requires more and more “smartness” to be implemented in terms of new topologies, design optimization, advanced control algorithms, diagnostics and fault tolerance techniques. Furthermore, accurate and reliable approaches are needed for a comprehensive system modelling and simulation though either analytical or numerical methodologies. The STA is intended to cover a wide area of application fields, mainly including electric power generation and utilization through electric motors, generators and actuators of any kind, associated with the relevant power electronics, condition monitoring, regulation and management systems; advanced control technologies applied to electric drives, robotics, power generation in either healthy and faulty conditions. Both research and survey papers are welcome on (but not limited to) the topics listed below.
MORE INFO: STA-9 CfP
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STA-10: Role and Challenges of Energy Storage in Future Electrical Grids
Chair: Prof. Ahmed Zobaa, Brunel University London, Uxbridge, United Kingdom
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Outline: Electrical Energy storage has played three primary roles. First, it reduces the cost of electricity costs by storing electricity during off-peak times for use at peak times. Secondly, it improves the reliability of the power supply by supporting the users during power interruptions. Thirdly, it improves power quality, frequency, and voltage. Electrical Energy storage is expected to solve many problems including excessive power fluctuation and undependable power supply due to the use of large penetration levels of renewables. Electric vehicles with batteries are the most promising technology to replace fossil fuels by electricity from mostly renewable energy sources. This special session will present the future roles and challenges of electrical energy storage.
MORE INFO: STA-10 CfP
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STA-11: Smart Technologies in Electrical Machines
Chair: Prof. Bülent Ertan, Middle East Technical University, Ankara, Turkey
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Outline: In this session papers employing smart technologies for controlling electrical machines, smart technologies for position or speed sensing or applications involving electrical machines for applications in smart applications, and smart grid applications may be presented.
MORE INFO: STA-11 CfP
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STA-12: Cloud based infrastructure and platforms for Big Data
Chair: Prof. Yuri Demchenko, University of Amsterdam, Netherlands
Co-Chair: Prof. Sonja Filiposka, Ss. Cyril and Methodius University, Macedonia
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Outline: Cloud Computing provides the ultimate platform for building Big Data infrastructure and running Big Data applications. In its own turn, the growing demand for effective Big Data and data analytics applications facilitates the development of the cloud based high-performance computing architecture, applications and resources. Currently major Cloud Service Providers (CSP) provide wide range of general and special services for processing Big Data combining advanced data analytics and storage of large volumes of data. Cognitive technologies and cognitive services is a also new emerging type of Big Data services powered by cloud based Artificial Intelligence that leverage availability of global social media and geo-economical data. At the same time, storing and processing Big Data on clouds creates concerns about data protection and privacy that should be addressed by corresponding cloud and inter-cloud security and compliance models.
The problem domains of this special thematic area may include, but are not limited to, scientific disciplines such as: high energy physics, biology, biodiversity, high performance networking, enterprise and business support systems. While social media, so pervasive nowadays, is one of the main contributors to vast amounts of Big Data around the world, several other diverse sources such as fixed and mobile sensors, secondary data generated by physical simulations, transactional records from high speed trading systems, and high volume business record analytics also constitute important areas of research. Building cloud based infrastructure to support effective applications and solutions that are using advanced Big Data Infrastructure and Big Data services in clouds require both, collaborative technology and multi-disciplinary teams.
This STA focuses on techniques, experiences, applications, and lessons learned from development, design and use of Big Data and data intensive science and industry, cloud based data analytics.
MORE INFO: STA-12 CfP
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