Call for Special Sessions

Organizer
Xincheng Huang, Huzhou University, China

Nowadays, the foreseeable growing-up of the applications of digital services, such as 5G applications, cloud-based storage and services, big data, and Internet of Things (IoT) and so on, bring great challenge to the transmission capacity of existing optical networks and systems, which are continuously driving the research interest of optical systems and networks. Developments in optical field modulation and optical signal processing are also redefining traditional paradigms and impacting the process of optical signal multiplexing/demultiplexing. As a result, optical networks and systems technologies are desired to be able to meet numerous new research and development encounters. The progress in any respect of the optical networks and systems, such as optical components capabilities, optical signal switching and control, optical field modulation, optical signal processing, optical transmission mechanism, optical networks security and etc., are expected for a very promising profit in near future. Hence this topic devotes to present the latest developments in all areas of optical networks and systems research, which include the following topics, but not limited to:

  • Optical networking in 5G systems
  • Optical networks and systems for big data and cloud applications
  • Optical networks and systems for IoT and smart grids
  • Protection and restoration, survivability and disaster recovery in optical networks
  • Routing and wavelength assignment and spectrum management
  • Optical modulation and signal processing
  • Optical transmission systems and performance monitoring
  • Optical wavelength-division, time-division, and code-division multiplexing (WDM, OTDM, OCDM)
  • Optical spatial division multiplexing
  • Elastic and flexible grid optical networks
  • Free space optical (FSO) communications and networks
  • Impact of physical-layer impairments and non-linearities on optical network design
  • Multi-casting in optical networks
  • Compressed Sensing for Optical Systems
  • Multi-layer and Multi-domain optical network design and operations
  • Optical add/drop multiplexers (OADMs)
  • Optical network and system standards
  • Optical network control
  • Optical switching technologies, devices, and architectures
  • Optical technologies, components, and sub-systems for telecom networks
  • Software defined networking (SDN) for optical networks
  • Traffic grooming and engineering in optical networks
  • Ultraviolet communications and networks
  • Underwater optical communications
  • Optical networks and converged optical-wireless network

Submission Guidelines
Acceptance will be based on full paper. Prospective authors are invited to submit high-quality original technical papers following the rules of the Main Track. All presented papers will be published in ICT 2020 Proceedings and IEEE Xplore.

Submit your paper to: https://edas.info/N26920

Organizer

Yansha Deng, King’s College London, UK

Machine learning and data driven approaches have recently received much attention as a key enabler for future 5G and beyond wireless networks. Yet, the evolution towards learning-based data driven networks is still in its infancy, and much of the realization of the promised benefits requires thorough research and development. Fundamental questions remain as to where and how ML can really complement the well-established, well-tested communication systems designed over the last 4 decades. Moreover, adaptation of machine learning methods is likely needed to realize their full potential in the wireless context. This is particularly challenging for the lower layers of the protocol stack, where the constraints, problem formulation, and even the objectives may fundamentally differ from the typical scenarios to which machine learning has been successfully applied in recent years. In order to address these problems, the issue solicits original research papers that address the following non-exhaustive list of topics:

  • Network architecture and optimization for AI/ML applications at scale
  • Machine learning for multimedia networking
  • Resource allocation for shared/virtualized networks using machine learning
  • Protocol design and optimization using machine learning
  • AI/ML for wireless network resource management and medium access control
  • Energy-efficient network operations via AI/ML algorithms
  • Reliability, robustness and safety for networks optimized and operated based on AI techniques
  • Security concepts for networks optimized and operated based on AI/ML concepts
  • AI/ML Algorithms for network security

Submission Guidelines
Acceptance will be based on full paper. Prospective authors are invited to submit high-quality original technical papers following the rules of the Main Track. All presented papers will be published in ICT 2020 Proceedings and IEEE Xplore.

Submit your paper to: https://edas.info/N26920

Organizer

Farohaji Kurniawan, National Institute of Aeronautics and Space, Indonesia

Nowadays, synthetic aperture radar (SAR) has become more popular. Well-known SAR sensors are more adaptable in any kind of situation, day or night and all weather conditions. SAR sensors also provide high-resolution images. This advantage could not be found in optical sensors, which are very dependent on the weather condition and daylight situation. Therefore, the SAR system that are being developed are smaller and more compact in size, such that it is possible to be placed on the aircraft and unmanned aerial vehicles (UAV). Likewise, the method of data processing and communication/telemetry system on the SAR system, have experienced very rapid development. The progress in any respect related to the telemetry and signal processing for the SAR system will be highly anticipated and useful in the future. The latest developments of telemetry and suppression of SAR signals are of interest and cover the following topics, but not limited to:

  • Microstrip antenna
  • Communications antenna
  • Communications system
  • SAR data transfer technique (Tx / Rx)
  • All topics related to SAR system
  • SAR data processing
  • SAR platform design (e.g. UAV, MALE, HAPS)​

Submission Guidelines
Acceptance will be based on full paper. Prospective authors are invited to submit high-quality original technical papers following the rules of the Main Track. All presented papers will be published in ICT 2020 Proceedings and IEEE Xplore.

Submit your paper to: https://edas.info/N26920

Organizer

Nemai Chandra Karmakar, Monash University, Australia

Radio frequency identification (RFID) and wireless sensors are the backbone of IoT. Trillions of RFID and wireless sensors will be used if they are made low cost, and without chipsets. The special session focuses on both the chipped and chipless RFIDs and wireless sensors, the readers and peripherals, interfaces and middleware, enterprise software and the applications of RFID and sensors in IoT applications. The focused session will cover topics in application specific and ultrawideband (WUB) antennas, RF/microwave/millimeter-wave transceivers electronics and components, system design, chipped and chipless RFID tags and wireless sensors, peripherals and interfaces, detection techniques, signal processing for location finding and positioning, middleware, wireless sensor networks, enterprise software, cloud computing, IoT, machine learning/artificial intelligence for RFID and sensors, and applications. Specific emphasis will be given for emerging millimetre-wave to THz and visible light communication (VLC) based identification, positioning and localisation wireless sensor networks for IoT. Technical and review papers in the field of research are invited for solicitation from experts in both academia and industry.

Submission Guidelines
Acceptance will be based on full paper. Prospective authors are invited to submit high-quality original technical papers following the rules of the Main Track. All presented papers will be published in ICT 2020 Proceedings and IEEE Xplore.

Submit your paper to: https://edas.info/N26920

Organizer

Heri Prasetyo, Universitas Sebelas Maret, Indonesia

We are facing an exploding growth of image and multimedia signal processing in these recent years. These advancements are induced by new generation of computations, i.e. deep neural computing and learning representation approaches. The deep learning drives to a new trend in the computer vision task, image/signal, as well as multimedia processing. The image and multimedia signal processing allow wider range of algorithm developments into some advanced applications. It enables us to access and exploit some useful information from imaging data. Despite of enhancing the quality of imaging data, we are also able to perform high level cognitive tasks such as classification, recognition and analysis of multimedia data.

Intelligent algorithms profoundly change the way of tackling and solving a rich variety of challenging problems in the image and multimedia signal processing. This new paradigm exploits some “intelligent” or “model-free” techniques for solving the complex problems or even poorly formalized using mathematical model. The intelligent algorithm overcomes this aforementioned problem by simply using the automated generated features obtained from learning process. The generated features, somehow, are more robust compared to that of the human hand-crafted and engineered features. This special session offers a forum for scientists and researchers to disseminate the emerging research fronts precipitated, but not limited to the following cores:

  • Deep learning
  • Learning representation
  • Visual neural computing
  • Neural network-based multimedia systems
  • Intelligent image and multimedia signal processing
  • Ill-posed inverse imaging, signal, and multimedia problem
  • Sparse coding and representation
  • Dictionary and sparsity learning
  • Image, signal, and multimedia denoising
  • Inpainting problem
  • Colorization of imaging and signal data
  • Quality enhancement
  • Efficient compressing and coding
  • Information security of imaging and multimedia data
  • Secret sharing and watermarking
  • Nature-inspired image and multimedia signal processing

Submission Guidelines
Acceptance will be based on full paper. Prospective authors are invited to submit high-quality original technical papers following the rules of the Main Track. All presented papers will be published in ICT 2020 Proceedings and IEEE Xplore.

Submit your paper to: https://edas.info/N26920

Organizer

Mojdeh Amani, BT Applied Research at Adastral Park, UK

Blockchain (BC) and Distributed Ledger Technologies (DLT) are disruptive technologies and have the potential to be applied among autonomous resources. The use case are covering from finance and payments (e.g. Facebook Libra) to networks such as smart grids and energy domain, supply chain and shipping (e.g. Maersk), IoT and service platform (Identity management). This special session is dedicated to the new advances and use cases that could help to a more transparent, secure and reliable networks while enabling distributed business models and revenue management for vendors and operators.

Areas of interest include, but are not limited to the following:

Fundamental and theoretical contributions on BC and DLT:

  • Protocols and algorithms
  • Fault tolerant solutions for networking domain
  • Tradeoffs and challenges of decentralization, scalability, performance and security

Smart contracts and applications:

  • Tools and languages
  • Transactions monitoring and Analysis
  • Security, privacy, attacks, and forensic challenges
  • Token economy
  • On-chain and off-chain

Use cases and services:

  • Finance and payment
  • IoT
  • Smart grid
  • Edge and cloud computing
  • 5G and telecom process and operation
  • Supply chain
  • Connected Vehicles
  • Blockchain as a service
  • Any other relevant use case and application

 

Submission Guidelines
Acceptance will be based on full paper. Prospective authors are invited to submit high-quality original technical papers following the rules of the Main Track. All presented papers will be published in ICT 2020 Proceedings and IEEE Xplore.

Submit your paper to: https://edas.info/N26920

Organizer

Andriyan Bayu Suksmono, Institut Teknologi Bandung, Indonesia

Donny Danudirdjo, Institut Teknologi Bandung, Indonesia

Compressive sampling (CS) is an active field that has gained much interest in signal processing, information/communication technology and other scientific disciplines. In contrast to the Shannon sampling theorem that requires uniform sampling taken at a rate of twice the bandwidth of the signal, CS approaches allows perfect reconstruction of the signal of interest at a much lower sampling rate or fewer number of samples. Similarly, the goal of super-resolution (SR) algorithms is to reconstruct a high resolution image from one or several low-resolution images as closely as possible.

 

This special session aims to provide a forum for researchers to present original work related to the techniques and applications of compressive sensing and super resolution. Articles that cover the theory or future trends in these fields are also welcome, including those dealing with sparse approximation, optimization and regularization, super resolution methods, as well as other related topics in linear and nonlinear inverse problems.

 

Submission Guidelines
Acceptance will be based on full paper. Prospective authors are invited to submit high-quality original technical papers following the rules of the Main Track. All presented papers will be published in ICT 2020 Proceedings and IEEE Xplore.

Submit your paper to: https://edas.info/N26920

February 17, 2020

July 6, 2020

Regular Submission Deadline


February 17, 2020

July 6, 2020

Tutorial Proposal Deadline


February 17, 2020

July 6, 2020

Special Sessions Submission Deadline


March 16, 2020

August 3, 2020

Acceptance Notification


March 30, 2020

August 24, 2020

Camera-Ready Deadline


March 30, 2020

August 24, 2020

Registration Deadline


October 5-7, 2020

Conference Date


Organized by:

Technically Co-Sponsored by:

Supported by:

Patronized by:

Institut Teknologi Bandung, Indonesia

Institut Teknologi Del, Indonesia

King’s College London, United Kingdom