Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions

Submission Deadline: 10 December 2017

IEEE Access invites manuscript submissions in the area of Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions.

Medical image analysis is one of the challenging tasks in current scenario. Image analysis is one of the higher level processing techniques in the hierarchy of imaging applications. Image analysis includes concepts such as image cognition, classification, segmentation, etc. The situation is extremely complex since each concept is interlinked with other concepts. Soft computing techniques are one of the widely used computational approaches in complex situations such as medical image analysis. However, there are many hidden issues associated with these soft computing approaches for solving the real-time problems in medical image analysis. The problems are in the form of computational complexity, classification efficiency, practical feasibility, etc. This Special Section in IEEE Access specifically focuses on providing solutions to the existing problems in soft computing techniques for medical image analysis. This Special Section is multi-disciplinary and welcomes researchers from the areas of “artificial intelligence” and “image processing” who can develop innovative systems for solving the problems in medical imaging applications. Any topics related with soft computing and medical image processing are welcome to submitting their articles to this Special Section.

The topics of interest include, but are not limited to:

A) Methodologies:

  • Artificial Neural Networks
  • Fuzzy logic theory
  • Evolutionary Computation
  • Deep learning
  • Rough sets/Chaotic systems
  • Artificial Life
  • Artificial Immune Systems
  • Optimization techniques
  • Any other soft computing technique

B) Applications:

  • Medical image registration/fusion
  • Noise removal in medical images
  • Bio-mechanical data analysis
  • Medical image classification/segmentation
  • Medical image compression
  • Data analysis for biomedical instrumentation
  • Data mining in medical scenario
  • Telemedicine
  • Medical informatics
  • Any other medical image/industry applications

Manuscripts are expected to cover at least one topic from A and one topic from B

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: D. Jude Hemanth, Karunya University, India

Guest Editors:

  1. Lipo Wang, Nanyang Technological University, Singapore
  2. João Manuel R. S. Tavares, Faculdade de Engenharia da Universidade do Porto, Portugal
  3. Fuqian Shi, College of Information and Engineering, Wenzhou Medical University, China
  4. Vania Viera Estrela, Universidade Federal Fluminense, Brazil

 

Relevant IEEE Access Special Sections:

  1. Health Informatics for the Developing World
  2. Intelligent Systems for the Internet of Things
  3. Advanced Data Analytics for Large-Scale Complex Data Environments

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: judehemanth@karunya.edu

Recent Advances in Fault Diagnosis and Fault-Tolerant Control of Aerospace Engineering Systems

Submission Deadline: 20 February 2018

IEEE Access invites manuscript submissions in the area of Recent Advances in Fault Diagnosis and Fault-Tolerant Control of Aerospace Engineering Systems.

With the rapid development of automation technologies, aerospace engineering systems including aircraft, satellite, and spacecraft, have become increasingly susceptible to system/component malfunctions. Failure to take appropriate responses to even relatively minor defects can result in highly destructive events. A conventional feedback control design may result in unsatisfactory performance or even instability in the event of a malfunction. Therefore, fault diagnosis (FD) and fault-tolerant control (FTC) technologies that can ensure the safety of handicapped systems have attracted significant interest. FTC design and relevant techniques provide a flexible framework for dealing with these challenges since the 1970s. The progress since the 1970s includes symposiums, seminars and a vast number of publications on the subject. The research illustrate that FD and FTC are effective and applicable in industry, especially for aerospace engineering systems.

The primary objective of this Special Section in IEEE Access is to provide a forum for academic and industrial communities to report recent theoretical and application based results in healthy monitoring, diagnosis, and fault-tolerant design. Researchers can exchange their latest ideas about the emerging research direction in this field. This Special Section would be of interest to readers to learn about trending and pioneering activities over the field of fault diagnosis and fault-tolerant control. The focus will be on advanced FD and FTC design methods for aerospace engineering systems (AESs) presenting considerable novelties in theoretical background or practical design. The solicited articles should provide original ideas and new approaches, with a clear indication of the advances made in problem formulation, methodology, or application with respect to existing results.

The topics of interest include, but are not limited to:

  • Fault detection and diagnosis for AESs
  • Sensors and measurements for AESs
  • Fault-tolerant control/reliable control
  • Remaining life assessment and health management
  • Experimental and analytical investigations on fatigue and fracture of system components
  • Self-healing, self-organizing, self-adaptive, automatic recovery
  • Optimization theory for fault-tolerant control design for AESs
  • Integration design of fault diagnosis and fault-tolerant control
  • Novel control, guidance, and navigation methodologies
  • Innovative control algorithms (such as robust control, adaptive control, and intelligent control)

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Hamid Reza Karimi, Politecnico di Milano, Italy

Guest Editors:

  1. Bing Xiao, Bohai University, China
  2. Xiang Yu, Concordia University, Canada
  3. Qingbin Gao, California State University, USA

 

Relevant IEEE Access Special Sections:

  1. Advanced Control and Health Management for Aircraft and its Propulsion System
  2. Complex System Health Management Based on Condition Monitoring and Test Data
  3. Advanced Signal Processing Methods in Medical Imaging

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: hamidreza.karimi@polimi.it

Green Signal Processing for Wireless Communications and Networking

Submission Deadline: 31 October 2018

IEEE Access invites manuscript submissions in the area of Green Signal Processing for Wireless Communications and Networking.

Wireless devices including smart phones, PDAs and network equipment that connects them consume a significant amount of power. The global greenhouse gas emissions produced by the operation of information and communication technology (ICT) infrastructure is comparable to that produced by the aviation industry. This situation is getting worse since billions of new wireless devices are expected to be added to the Internet in the coming decade. Consequently, there are multiple research and development projects that aim to address this issue, including some IEEE Standards intended to reduce the environmental impact of the ICT industry. These standards include energy-efficient communications and networking.

The objective of this Special Section in IEEE Access is to cover the most recent research and development about signal processing techniques to improve sustainability of wireless communications and networking. The articles in this feature topic will focus on state-of-the-art research in various aspects of the technologies of green-oriented signal processing for 4G/5G systems, cognitive radio networks, and other types of advanced wireless communication networks. Moreover, energy-efficient signal processing algorithms and circuits for communications are particularly welcome. The topics of interest include, but are not limited to:

  • Green communications and networking
  • Recent advances in 5G green communications
  • Green communications for cognitive radio, smart grid, D2D, and heterogeneous networks, etc.
  • Green technologies for V2X communications
  • Green technologies for next generation WiFi, e.g., visual light communications and mm-wave
  • Green physical layer design and algorithm
  • Cross-layer energy enhancement and optimization
  • Testbed for green and sustainable communication systems
  • Energy-efficient circuit architectures for communications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Wen-Long Chin, National Cheng Kung University, Taiwan

Guest Editors:

  1. David Shiung, National Changhua University of Education, Taiwan
  2. Yi Qian, University of Nebraska-Lincoln, USA
  3. Woongsup Lee, Gyeongsang National University, South Korea
  4. Andres Kwasinski, Rochester Institute of technology, USA
  5. Yansha Deng, King’s College London, UK

 

Relevant IEEE Access Special Sections:

  1. Energy Harvesting and Scavenging: Technologies, Algorithms, and Communication Protocols
  2. Physical and Medium Access Control Layer Advances in 5G Wireless Networks
  3. Future Networks: Architectures, Protocols, and Applications

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: wlchin@mail.ncku.edu.tw

Mobile Multimedia for Healthcare

Submission Deadline: 30 July 2018

IEEE Access invites manuscript submissions in the area of Mobile Multimedia for Healthcare.

With the availability of easy access to the Internet and the proliferation of various mobile devices, people can get access to mobile multimedia from anywhere, at anytime, from many devices in order to have a desktop experience. Mobile multimedia refers to different types of multimedia content (e.g., text, images, audios and videos), which are accessed via heterogeneous mobile devices such as mobile phones, portable devices, and smartphones. Mobile multimedia services and applications have a tremendous potential in the healthcare sector. Currently, as the healthcare sector is increasingly dependent on mobile multimedia services and applications, many challenges remain unsolved for the successful deployment of mobile multimedia services in order to have a balance between power-limited mobile devices and resource hungry medical multimedia content (e.g. x-ray, MRI, clinical audio-visual notes, EEG, ECG and so on). The mobile devices offer unprecedented insight into patient health and a clear demand for a better-quality experience for its employees. Researchers are working in developing various mobile multimedia tools, techniques, and services to support better health initiatives to complement the classic scenario with mobile technology. In particular, works in the tracking of spreadable diseases, remote monitoring and diagnosis, real-time remote access to medical images and videos, m-health and finally deep learning analytics for mobile multimedia are of great interest.

This Special Section in IEEE Access aims to bring together researchers, and practitioners to discuss various research and development achievements in the field of related techniques, applications, services and systems for mobile multimedia for healthcare.

The topics of interest include, but are not limited to:

  • Socially-aware mobile media for healthcare
  • Mobile cloud-media for the healthcare
  • Mobile multimedia information systems in healthcare
  • Serious Games for health
  • Application of mobile media services in healthcare
  • Interactive and emotion-aware mobile healthcare systems
  • IoT- cloud convergence for mobile healthcare
  • Smart Sensor technologies for mobile health
  • mobile health monitoring
  • Mobile Health record management
  • Context-aware mobile-health services and application
  • Elderly smart health monitoring environments
  • Real time multimedia-control for mobile healthcare
  • Deep learning analytics for mobile multimedia-based healthcare or food recognition

 
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: M. Shamim Hossain, King Saud University, Saudi Arabia

Guest Editors:

  1. Stefan Goebel, Technical University Darmstadt, Germany
  2. Changsheng Xu, Chinese Academy of Sciences, China
  3. Abdulmotaleb El Saddik, University of Ottawa, Canada

 

Relevant IEEE Access Special Sections:

  1. Health Informatics for the Developing World
  2. Advanced Signal Processing Methods in Medical Imaging
  3. Healthcare Big Data


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: mshossain@ksu.edu.sa

Sequential Data Modeling and Its Emerging Applications

Submission Deadline: 15 December 2017

IEEE Access invites manuscript submissions in the area of Sequential Data Modeling and Its Emerging Applications.

With the tremendous advance of technologies in data collection and storage, sequential data is becoming more and more ubiquitous in a wide spectrum of application scenarios. There are various embodiments of sequential data such as time series/video frames and event data, where the former is synchronous over time and the latter is often generated in an asynchronous fashion. It bears important practical utility for learning and understanding the dynamic behavior as well as the causality relationships across sequences, and it also calls for robust models to handle with noisy and incomplete sequence data in real-world settings.

The objective of this Special Section in IEEE Access is to bring together the state-of-the-art research contributions that address key aspects of sequential data modeling and their novel applications, such as sequence learning for clinical trials in healthcare, failure tickets in device maintenance, transactions in e-commerce, which will help identify the fundamental methodology and key technology for cross-discipline research and applications. All submitted articles will be peer-reviewed and selected on the basis of their quality and relevance to the theme of this Special Section.

The topics of interest include, but are not limited to:

  • Event data analysis theory and algorithms
  • Sequential data processing system and database
  • Sequential data modeling with deep learning
  • Sequential data modeling with reinforcement learning
  • Sequential data modeling with point process model
  • Sequential data modeling for time series
  • Sequential data modeling for bioinformatics
  • Sequential data modeling for multimedia and visual computing
  • Sequential data modeling for healthcare
  • Sequential data modeling for industry and reliability
  • Sequential data modeling for smart city
  • Sequential data modeling for environmental sustainability
  • Sequential data modeling for web and social network
  • Sequential data modeling for personalization and behavioral study
  • New emerging applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Junchi Yan, IBM Research, China

Guest Editors:

  1. Xiaoyong Pan, Erasmus MC, Rotterdam, Netherlands
  2. Liangda Li, Yahoo Research, USA
  3. Changsheng Li, Alibaba Group, China
  4. Peng Cui, Tsinghua University, China
  5. Chao Ma, University of Adelaide, Australia

 

Relevant IEEE Access Special Sections:

  1. Big Data Analytics in Internet of Things and Cyber-Physical Systems
  2. Complex System Health Management Based on Condition Monitoring and Test Data
  3. Intelligent Systems for the Internet of Things

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: yanesta13@163.com

Non-Orthogonal Multiple Access for 5G Systems

Submission Deadline: 15 October 2017

IEEE Access invites manuscript submissions in the area of Non-Orthogonal Multiple Access for 5G Systems.

Non-orthogonal multiple access (NOMA) has been recently recognized as a promising multiple access (MA) technique to significantly improve the spectral efficiency of mobile communication networks. For example, multiuser superposition transmission (MUST), a downlink version of NOMA, has been proposed for 3rd generation partnership project long-term evolution advanced (3GPP-LTE-A) networks. Furthermore, the use of NOMA has also been envisioned as a key component in 5th generation (5G) mobile systems. In addition to its application to cellular networks, NOMA has been demonstrated to be applicable to many other wireless networks. For example, NOMA has also been applied to TV broadcasting. A new form of NOMA, termed layered division multiplexing (LDM), has been proposed to the next-generation digital TV standard (ATSC 3.0).

The key idea of NOMA is to encourage spectrum sharing, which is similar to the concept of cognitive radio networks. Take power domain NOMA as an example, where the power domain is used for multiple access. This is fundamentally different from the previous generations of mobile networks which have been relying on the time/frequency/code domain. The main issue with conventional orthogonal frequency-division multiple access (OFDMA) used by 3GPP-LTE using the orthogonal multiple access (OMA) technique is that its spectral efficiency is low when some bandwidth resources, such as subcarrier channels, are allocated to users with poor channel conditions. On the other hand, the use of NOMA enables each user to have access to all the subcarrier channels, and hence the bandwidth resources allocated to the users with poor channel conditions can still be accessed by users with strong channel conditions, which significantly improves the spectral efficiency. Furthermore, compared to conventional opportunistic user scheduling which only serves the users with strong channel conditions, NOMA strikes a good balance between system throughput and user fairness. In other words, NOMA can serve users with different channel conditions in a timely manner, which provides the possibility to meet the demanding 5G requirements of ultra-low latency and ultra-high connectivity.

It is worth mentioning that NOMA has been demonstrated to be compatible with many 5G techniques. For example, massive multiple-input multiple-output (MIMO) and NOMA can be naturally combined, where the spatial degrees of freedom offered by massive MIMO can be used to further improve the performance of NOMA. Recently, NOMA has also been applied to millimeter-wave (mmWave) communication networks, where the highly directional feature of mmWave propagation has been used to facilitate the implementation of NOMA. This Special Section in IEEE Access will provide a forum for the latest research and innovations in NOMA technologies as well as their applications, and will bridge the gap between theory and practice in the design of 5G multiple access. Prospective authors are invited to submit original manuscripts on topics including, but not limited to:

  • Information theoretic perspective of NOMA
  • New forms of NOMA
  • Hybrid NOMA and multi-carrier NOMA
  • Channel coding and modulation for NOMA
  • Nonlinear precoding for NOMA
  • Transceiver design in NOMA systems
  • MIMO techniques for NOMA
  • Resource allocation for NOMA
  • Energy-efficient NOMA
  • Millimeter-wave NOMA
  • Cognitive networking with NOMA
  • Security provisioning in NOMA
  • Cross-layer design and optimization for NOMA
  • Emerging applications of NOMA
  • Integration of NOMA with other 5G key technologies
  • Practical implementations of NOMA

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Daniel Benevides da Costa, Federal University of Ceará, Brazil

Guest Editors:

  1. Trung Q. Duong, Queen’s University Belfast, UK
  2. Zhiguo Ding, Lancaster University, UK
  3. Hui-Ming Wang, Xi’an Jiaotong University, China
  4. Kamel Tourki, Huawei France Research Center, France
  5. Naofal Al-Dhahir, University of Texas at Dallas, USA

 

Relevant IEEE Access Special Sections:

  1. Wireless Caching Technique for 5G
  2. Deployment and Management of Small Heterogeneous Cells for 5G
  3. Physical and Medium Access Control Layer Advances in 5G Wireless Networks

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: specialsections@ieee.org

Underwater Wireless Communications and Networking

Submission Deadline: 15 December 2017

IEEE Access invites manuscript submissions in the area of Underwater Wireless Communications and Networking.

Underwater wireless communications play an important role in marine activities such as environmental monitoring, underwater exploration, and scientific data collection. Underwater wireless communications still remain quite challenging, due to the unique and harsh conditions that characterize underwater channels. These conditions include for example severe attenuation, multipath dispersion, and limited resource utilization. Nonetheless advanced communication techniques using acoustic, electromagnetic and/or optical waves have emerged to tackle fundamental and practical challenges of underwater wireless communications. Recently, many academic and industrial researchers have paid attention to the development of state-of-the-art solutions for future underwater wireless communications and networks. This Special Section will enlighten and guide the potential research communities about the recent progress in the area of underwater wireless communications, and will encourage some of the leading research communities to present the state-of-the-art contributions and future research directions.

Authors are encouraged to submit original work presenting new research topics on underwater wireless communications and networking from the theoretical and practical point of views. Here, underwater wireless communication systems refer to general communication systems utilized or taken into consideration under water including, but not limited to, acoustic, radio-frequency, and optical wireless communications. Special attention will be given to articles reporting new results and insights along the following principal technical areas:

  • Underwater channel characterization, statistical modeling and estimation
  • Underwater wireless communications: Fundamental limits and theories
  • Transceiver design: Modulation, coding and detection techniques
  • Underwater wireless networking protocols and cross-layer design

This Special Section in IEEE Access will also solicit top-quality papers focusing on the applied technical areas. The topics of interest include, but are not limited to:

  • Advanced signal processing techniques for underwater wireless communications
  • MIMO and diversity systems in underwater communications
  • Multi-carrier systems in underwater communications
  • Cooperative communications in underwater
  • Hybrid and multi-modal underwater communications
  • Optimization and game-theoretic techniques for underwater wireless communications
  • Underwater wireless sensor networks
  • Energy harvesting for underwater sensor networks
  • Real-time data transmission under water
  • Underwater localization, positioning, and tracking in underwater
  • Mobile underwater communications and network
  • Applications of underwater wireless communications
  • Devices and systems for underwater wireless communications
  • Demonstration of field trials, experiments, and test-beds

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Muhammad Ali Imran, University of Glasgow, UK

Guest Editors:

  1. Ki-Hong Park, King Abdullah University of Science and Technology, Saudi Arabia
  2. Paolo Casari, IMDEA Networks Institute, Spain
  3. Fraser Dalgleish, Florida Atlantic University, USA
  4. Hovannes Kulhandjian, California State University, Fresno, USA
  5. Ali Abdi, New Jersey Institute of Technology, USA
  6. Huifang Chen, Zhejiang University, China

 

Related IEEE Access Special Sections:

  1. Optimization for Emerging Wireless Networks: IoT, 5G and Smart Grid Communication Networks
  2. Deployment and Management of Small Heterogeneous Cells for 5G
  3. The New Era of Smart Cities: Sensors, Communication Technologies and Applications

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Advanced Signal Processing Methods in Medical Imaging

Submission Deadline: 1 August 2017

IEEE Access invites manuscript submissions in the area of Advanced Signal Processing Methods in Medical Imaging.

Medical Imaging is a technique to create visual representations of the interior of the body, with the aim of making accurate diagnosis and optimized treatments. Many medical imaging techniques are widely used to produce images, such as computer tomography (CT), ultrasound (US), positron emission tomography (PET), single photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI)/functional MRI (fMRI).

Manual interpretation and analysis of medical images is tedious and prone to error, causing overlooked, slight lesions that occasionally result in misdiagnosis. It is critical to develop advanced signal processing methods for a wide range of low-level (image reconstruction, contrast enhancement, image segmentation, etc.) and high-level applications (interpretation, classification, and grading of image findings in diagnoses, and the planning, monitoring, and evaluation of treatment) in medical imaging for accurate diagnosis and personalized treatment. These applications need novel, advanced techniques in the areas of, but not limited to, computer vision, artificial intelligence/machine learning/pattern recognition, and evolution algorithm and optimization.

This Special Section in IEEE Access aims to collect a diverse and complementary set of articles that demonstrate new developments and applications of advanced signal processing in medical imaging. It will help both physicians and radiologists in the image interpretation, and help technicians to exchange the latest technical progresses. These topics of interest include, but are not limited to the following:

  • Medical imaging modalities (CT and low dose CT, X-ray, ultrasound, PET, SPECT, MRI, MRSI, DTI, fMRI, Hyper-spectrum, etc.)
  • New Algorithms, models and applications of advanced signal processing methods using
    • Computer vision
    • Artificial intelligence/machine learning/pattern recognition (e.g., Perceptron, Bayesian network, support vector machine, fuzzy logic, etc.)
    • Wavelet transform
    • Deep learning
    • Chaos theory
  • 3D Bio-printing
  • Smart and interactive medical system
  • Global optimization and evolutionary algorithm
  • Metaheuristics and swarm intelligence
  • Fractional Signal Processing
  • Medical security

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Yudong Zhang, Nanjing Normal University, China

Guest Editors:

  1. Yin Zhang, Zhongnan University of Economics and Law, China
  2. Zhengchao Dong, Columbia University, USA
  3. Ti-Fei Yuan, Nanjing Normal University, China
  4. Liangxiu Han, Manchester Metropolitan University, UK
  5. Ming Yang, Nanjing Children’s Hospital, Nanjing Medical University, China
  6. Carlo Cattanti, University of Tuscia, Italy
  7. Huimin Lu, Kyushu Institute of Technology, Japan

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)