Calls for Papers for Journals
The IEEE Computer Society Transactions publish archive-quality research papers on a variety of topics related to computer science and technology. If you are interested in publishing with us, please view our list of on-going calls for papers to determine which journal best suits your area of expertise.
- IEEE Computer Architecture Letters
- IEEE Transactions on Affective Computing
- IEEE Transactions on Big Data
- IEEE Transactions on Computers
- IEEE Transactions on Cloud Computing
- IEEE Transactions on Dependable and Secure Computing
- IEEE Transactions on Emerging Topics in Computing
- IEEE Transactions on Haptics
- IEEE Transactions on Knowledge & Data Engineering
- IEEE Transactions on Learning Technologies
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Multi-Scale Computing Systems
- IEEE Transactions on Network Science and Engineering
- IEEE Transactions on Parallel & Distributed Systems
- IEEE Transactions on Pattern Analysis & Machine Intelligence
- IEEE Transactions on Services Computing
- IEEE Transactions on Software Engineering
- IEEE Transactions on Visualization & Computer Graphics
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
IEEE Computer Architecture Letters (CAL), a bi-annual forum for fast publication of new, high-quality ideas in the form of short, critically refereed, technical papers, is seeking submissions on any topic in computer architecture.
The IEEE Transactions on Affective Computing (TAC), a new bi-annual online-only publication, is seeking submissions of original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation, and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work will be considered for publication when they propose a new viewpoint on the history and the perspective on this domain.
Special Issue on Urban Computing
Urbanization’s rapid progress has modernized people’s lives but also engendered big challenges, such as air pollution, increased energy consumption and traffic congestion. Tackling these challenges can seem nearly impossible years ago given the complex and dynamic settings of cities. Nowadays, sensing technologies and large-scale computing infrastructures have produced a variety of big data in urban spaces, e.g. human mobility, air quality, traffic patterns, and geographical data. The big data contain rich knowledge about a city and can help tackle these challenges when used correctly.
Urban computing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human, to tackle the major issues that cities face, e.g. air pollution, increased energy consumption and traffic congestion . Urban computing connects unobtrusive and ubiquitous sensing technol-ogies, advanced data management and analytics models, and novel visualization methods, to create win-win-win solutions that improve urban environment, human life quality, and city operation systems. Urban computing also helps us understand the nature of urban phenomena and even predict the future of cities.
Special Issue on Big Data Infrastructure
Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Big Data is an emerging paradigm encompassing various kinds of complex and large scale information beyond the processing capability of conventional software and databases. Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, Hadoop and Spark. Due to the multisource, massive, heterogeneous, and dynamic characteristics of application data involved in a distributed environment, one of the most important characteristics of Big Data is to carry out computing on the petabyte (PB), even the exabyte (EB)-level data with a complex computing process. Therefore, large-scale scalable Big Data Infrastructure with corresponding programming language support and software models for efficient processing in distributed environments such as cloud is on demand.
In this special issue, we invite articles on innovative research to address challenges of Big Data Infrastructure with emerging computing platforms such as heterogeneous clouds, hybrid architectures, Hadoop or Spark with emphasis on addressing real-time requirements imposed by emerging Big Data applications such as sensing data, e-commerce data, business transactions and web logs, and etc.
The IEEE Transactions on Big Data (TBD) publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy, and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.
Joint Special Section on Innovation in Reconfigurable Computing Fabrics: from Devices to Architectures
IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing seek original manuscripts for a Special Section on reconfigurable computing fabrics tentatively scheduled to appear in the June 2017 issues.
IEEE Transactions on Computers (TC), a monthly archival publication, is seeking submissions of papers, brief contributions, and comments on research in areas that include, but are not limited to, computer organizations and architectures; operating systems, software systems, and communication protocols; real-time systems and embedded systems; digital devices, computer components, and interconnection networks; and new and important applications and trends.
Special Issue on Advances of Multimedia Big Data on the Cloud
Today’s multimedia big data is becoming a part of daily life in our society, industry and academia to access different multimedia systems, services and applications in terms of internet search, social media stream, internet-of-things-based streams, video stream in surveillance, medical image or video stream, mobile phone photos or video stream, business transactions, to name a few. However, due to the challenge of managing Exabyte of such multimedia big data in terms of computations, communications, storage, and sharing, there is a growing demand of an infrastructure to have on-demand access to a shared pool of configurable computing resources (e.g., networks, storages, processing, applications and services) to collect, store, preserve, manage, analyze, and share huge quantities of multimedia data. Cloud computing is such an infrastructure providing scalability, flexibility, agility, and ubiquity in terms of massive scale multimedia data processing, storage, access and communications.
The potential of this emergent research on multimedia big data is huge because of the major challenges in dealing with uncertainty, unpredictability (e.g., data volume, velocity and heterogeneity or variety) and massiveness with regards to real-time cross-media integration, multi-scale analysis and processing, where media is originated from multiple heterogeneous media sources with a variety of modality as well as context. Moreover, provisioning of Cloud resources for multimedia big data applications further enhances many technical challenges with regards to capturing, storage, searching, correlating, transferring, sharing, analysis, and visualization of multimedia.
Special Issue on Advances of Utility and Cloud Computing Technologies and Services
Computing is rapidly moving towards a model where it is provided as services that are delivered in a manner similar to traditional utilities such as water, electricity, gas, and telephony. In such a model, users access services according to their requirements, without regard to where the services are hosted or how they are delivered. Several computing architectures have evolved to realize this utility computing vision, including Grid computing, Service-Oriented Architecture (SOA) and Cloud computing, which has recently shifted into the center of attention in the ICT industry. Increasing numbers of IT vendors are promising to offer applications, storage and computation hosting services with conforming Service-Level Agreements (SLA) to ensure Quality of Services (QoS) and performance. Considering many of these services are hosted in traditional data centers, there is significant complexity involved in ensuring the scalability, availability, manageability and accessibility of applications, services and data, as the scale of the systems as well as the users grows. As a result, it is becoming important to investigate the use of cloud computing techniques and its interoperability with utility computing. This special issue focuses on principles, paradigms and applications of "Utility computing" and its practical realization especially in the context of Cloud Computing.
IEEE Transactions on Cloud Computing (TCC), will publish peer-reviewed articles that provide innovative research ideas and applications results in all areas relating to cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques relating to all areas of cloud computing will be considered for the transactions. The transactions will consider submissions specifically in the areas of cloud security, tradeoffs between privacy and utility of cloud, cloud standards, the architecture of cloud computing, cloud development tools, cloud software, cloud backup and recovery, cloud interoperability, cloud applications management, cloud data analytics, cloud communications protocols, mobile cloud, liability issues for data loss on clouds, data integration on clouds, big data on clouds, cloud education, cloud skill sets, cloud energy consumption, cloud applications in commerce, education and industry. This title will also consider submissions on Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS).
Special Issue on Social Networks Security
The emerging paradigm of social networks provides enormous novel approaches for efficiently adopting advanced networking communications and data analysis schemas using the existing datasets, networks, and infrastructures. The implementation of social networks has a great impact on humans’ daily life and global business, which has been addressed by recent research. However, the security issue is also a critical concern when adopting social networking technologies in practice. Considering the uniqueness of the social networks, using the mechanism is encountering a variety of security challenges from multiple dimensions, such as mobile apps, wireless communications, cloud systems, big data, and security operations. Compared with traditional security issues, the applications of social networks are operated in a dynamic circumstance involving different internal and external inputs or elements, which requires various security mechanisms in distinct operational scenarios. The complexity of the technical implementations may result in unexpected consequences when adopting social networking technologies. It is remarkably significant for current researchers and practitioners to address the security issues and seek out the efficient approaches to different hazards. For the purpose of preventing social networking-based solutions from the threats of social networks, a variety of cyber security approaches or mechanism have been created. This special issue will concentrates on the challenging topic – "Social Networks Security" and aims to invite the updated academic achievements to be submitted here.
Special Issue on Emerging Embedded and Cyber Physical System Security Challenges and Innovations
Deeply-embedded systems (deployed in human body, with computer programs sending and receiving sensitive data and performing data mining for the decisions) are increasingly popular, but the security and privacy issues are not fully understood and studied. For example, issues relating to the confidentiality / integrity / availability / privacy of implantable and wearable medical devices, secure and private big data analytics, acquisition, and storage, privacy-preserving data mining, secure machine-learning, cyber physical systems security, and security of hardware and software systems used for databases (with diverse societal contexts) are critical, and can be challenging to address due to their unique constraints and usage model. Existing systems for such computations would need to be transparently integrated into sensitive environments – the consequent size and energy constraints imposed on any security solutions are demanding. Thus, unique challenges arise due to the sensitivity of computation processing, need for security in implementations, and assurance "gaps."
The focus of this special issue will be on novel security and forensic methods for deeply-embedded systems and cyber physical systems, and emerging cryptographic solutions applicable to extremely-constrained, sensitive infrastructures, and advancements in feasible security measures for evolving interdisciplinary research trends such as computing for: cyberphysical embedded systems used for therapeutic and diagnosis purposes, and smart fabrics/homes/grids.
Special Issue on Data-Driven Dependability and Security
Assessing dependability and security properties of computer systems is today an important concern for engineers and practitioners. The analysis of textual/numeric data and log files produced under real workload conditions by applications, systems, and networks, intrusion detection systems, monitors and issue-trackers plays a key role for dependability and security evaluation. Data analysis is crucial in a variety of tasks, such as measuring availability and reliability of a system, characterizing failures, gaining insights into the progression of security attacks, designing mitigation means and countermeasures.
Academia and industry widely recognize the inherent potential of dependability and security data analysis for assessing dependability of computer systems and operational networks, and improving the engineering process. Nevertheless, in spite of decades of research and methodological advances, data analysis in this specific area keeps posing challenging research questions due to the heterogeneity, volume and velocity of the collected data, the lack of systematic, end-to-end analysis procedures, the increasing diversity of analysis objectives and emerging application domains in critical areas.
The Special Issue aims to concentrate contributions from academic and industrial organizations addressing dependability and security of computer systems and networks through data analysis, and to publish consolidated research results focusing on data-driven methodologies, measurements from production systems, analysis of large datasets.
IEEE Transactions on Dependable and Secure Computing (TDSC), a bimonthly archival publication, is seeking submissions of papers that focus on research into foundations, methodologies, and mechanisms that support the achievement—through design, modeling, and evaluation—of systems and networks that are dependable and secure to the desired degree without compromising performance. The focus also includes measurement, modeling, and simulation techniques, and foundations for jointly evaluating, verifying, and designing for performance, security, and dependability constraints.
IEEE Transactions on Emerging Topics in Computing (TETC) seeks original manuscripts for submission under Technical Tracks. In a track the technical contents of a submitted manuscript must be of an emerging nature and fall within the scope and competencies of the Computer Society. Manuscripts not abiding by these specifications will be administratively rejected. The topics of interest for the Technical Tracks are as follows:
- Enterprise Computing Systems
- Computational Networks
- Hardware and Embedded System Security
- Educational Computing
- High Performance Computing
- Next Generation Wireless Computing Systems
Submitted articles must describe original research which is not published or currently under review by other journals or conferences. Extended conference papers should be identified in the submission process and have considerable novel technical content; all submitted manuscripts will be screened using a similarity checker tool. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computer Society web site, www.computer.org. Please thoroughly read these before submitting your manuscript.
Please submit your paper to Manuscript Central at https://mc.manuscriptcentral.com/tetc-cs and select the "Technical Track" option in the drop-down menu for "Manuscript Type".
Please address all other correspondence regarding this Call For Papers to Fabrizio Lombardi, EIC of IEEE TETC, email@example.com
Special Issue on Defect and Fault Tolerance in VLSI and Nanotechnology Systems
The continuous scaling of CMOS devices as well as the increased interest in the use of emerging technologies make more and more important the topics related to defect and fault tolerance in VLSI and nanotechnology systems. All aspects of design, manufacturing, test, reliability, and availability that are affected by defects during manufacturing and by faults during system operation, are of interest. The IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Section on Defect and Fault Tolerance in VLSI Systems scheduled to appear in the December issue of 2016.
Special Issue on Emerging Computational Paradigms and Architectures for Multicore Platforms
Multicore and many core embedded architectures are emerging as computational platforms in many application domains ranging for high performance computing to deeply embedded systems. The new generations of parallel systems, both homogeneous and heterogeneous that are developed on top of these architectures represent what is called the emerging computing continuum paradigm. A successful evolution of this paradigm is however imposing various challenges from both an architectural and a programming point of view. The design of embedded multicores/manycores requires innovative hardware specification and modeling strategies, as well as low power simulation, analysis and testing. New synthesis approaches, possibly including reliability and variability compensation, are key issues in the coming technology nodes. Furthermore, thermal aware design is mandatory to manage power density issues. The design of effective interconnection networks is a key enabling technology in a manycore paradigm. New solutions such as photonics and RF NoCs architectures are emerging solutions on this regard. At the same time, these new interconnection systems have to be compliant with innovative 3D VLSI packaging technologies involving vertical interconnections in 3D and stacked ICs. These design solutions enable the integration of more and more IPs, resulting in heterogeneous platform where reconfigurable components, multi-DSP engines and GPUs collaborate to provide the target performance and energy requirements. Along with design and architectural innovations, many challenges have to be faced to enable an effective programming environment to many core systems. These challenges call from innovative solutions at the various levels of the programming toolchain, including compilers, programming models, runtime management and operating systems aspects. Holistic and cross-layer programming approaches have to be targeted considering not only performance, but also energy, dependability and real-time requirements. Finally, on the application side, multicore/manycore embedded systems are pushing developments in various domains such as biomedical, health care, internet of things, smart mobility, and aviation.
This special issue/section asks for emerging computation technology aspects related, but not limited to the mentioned topics. Contributions must be original and highlight emerging computation technologies in design, testing and programming multicore and manycore systems.
Special Issue on New Paradigms in Ad Hoc, Sensor and Mesh Networks, From Theory to Practice
Ad hoc, sensor and mesh networks have attracted significant attention by academia and industry in the past decade. In recent years however new paradigms have emerged due to the large increase in number and processing power of smart phones and other portable devices. Furthermore, new applications and emerging technologies have created new research challenges for ad hoc networks. The emergence of new operational paradigms such as Smart Home and Smart City, Body Area Networks and E-Health, Device-to-Device Communications, Machine-to-Machine Communications, Software Defined Networks, the Internet of Things, RFID, and Small Cells require substantial changes in traditional ad hoc networking. The focus of this special issue is on novel applications, protocols and architectures, non-traditional measurement, modeling, analysis and evaluation, prototype systems, and experiments in ad hoc, sensor and mesh networks.
Special Issue on Design & Technology of Integrated Systems in Deep Submicron Era
IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on Design & Technology of Integrated Systems in Deep Submicron Era scheduled to appear in the first issue of 2017.
Over the past few years the continuation of Moore’s Law has been achieved through constant advances in manufacturing yield but also the development of dependability design techniques to keep the pace of the growing complexity of the computing systems. Dependable systems can be relied on both against failures caused by aging to random physical effects but also against hostile attacks caused by malicious third parts whose goal is to disrupt operation or leak sensible information. A combined effort to design safe and secure systems is therefore becoming more and more interesting and should be taken into account at the early design stages to optimize application specific solutions. The focus of this special issue includes the design, test and technology of electronic products ranging from integrated circuits modules and printed circuit boards to full systems and microsystems, as well as methodologies and tools used in the design verification and validation of such products. Also special interest is devoted to the design and verification approaches of safe and secure systems and how to leverage common solutions to both of these aspects that are becoming more and more mandatory in the design of today’s computing systems.
Special Issue/Section on Emerging Technologies and Designs for Application-Specific Computing
As devices technology has rapidly evolved, application-specific computing (ASC) has emerged as a new field of research; ASC requires new criteria well beyond traditional practice. ASC is encountering substantial challenges at all levels from new devices, to innovative design principles and applications domains. The focus of this special issue is on emerging technologies in both theory and practice for application-specific computing systems, architectures and processors, inclusive of optimized circuits and modules based on the integration of emerging nano-electronic and post-CMOS devices to extend Moore’s Law. As CMOS technology reaches its scaling and power limitations, novel schemes and computational paradigms are sought for ASC; error tolerant computing, advanced in-memory primitives and emerging application domains such as found in hardware security, image processing and neural computation, are of particular interest.
Special Issue/Section on Next Generation Wireless Computing Systems
IEEE Transactions on Emerging Topics in Computing (TETC) seeks original manuscripts for the special issue on Next Generation Wireless Computing Systems (NGWCS). One aspect to take into account in NGWCS to ensure a better computing performance is the quality of service. Authors are encouraged to submit papers focused on the design, development, analysis or optimization of computing approaches for NGWCS in term of QoS and energy efficiency. The focus of this special issue is on the solutions of QoS and energy efficiency for NGWCS with emphasis on computing.
Joint Special Section on Innovation in Reconfigurable Computing Fabrics: from Devices to Architectures
IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing seek original manuscripts for a Special Section on reconfigurable computing fabrics tentatively scheduled to appear in the June 2017 issues.
Special Issue on Computing Education & Learning Technologies
Technology and education have wandered many separate but rarely intersecting paths throughout the 20th Century. In the 21st Century, the convergence of cost effective computing and networking products, methodologies, and services is finally enabling more researchers and practitioners than ever before to explore innovative ways to use computer technologies to manage and enhance the teaching and learning experience. Recognizing the importance of these trends, this Special Issue/Special Section invites submissions belonging to one or all of the three mainstream learning domains.
Special Issue on Emerging Interconnect Technology for Many-core Architectures
As multicore computing paradigm becomes more complex and heterogeneous, the design and implementation of the underlying communication fabric such as Network-on-Chips (NoCs) to support the massive data transfer within the power budget and performance requirements of the chip is fast becoming an enormous challenge. Further, as future NoCs are expected to connect even larger number of cores, there are several challenges facing designers including excess communication power, reduced performance (throughput, latency), limited scalability and reliability. Emerging technology such as silicon photonics, optical interconnects, wireless and 3D interconnects can provide high interconnect bandwidth, provide minimal access latencies, and high power-efficiency for NoCs. However, there are several technology challenges to realize system wide performance improvement while overcoming the power barrier with multicores. This special issue will highlight the advances in emerging interconnects from the system level to device level where hardware advances are co-designed with new architectures and programming models.
Special Issue on Sensor Data Computing as a Service in Internet of Things
The internet-of-things (IoT) has gained significant attention over the past decade. It "allows people and things to be anytime, anyplace, with anything and anyone, ideally using any path/ network and any service." Sensor data computing as a service model (also called sensing as a service) envisions to offer sensor data to interested consumers on demand. It will provide access to sensors or sensor data as a service similar to other utility‐based models such as infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS). Sensor data computing as a service model is also expected to be on top of an IoT infrastructure and creates novel business and financial opportunities to increase the sustainability of IoT. The number of things connected to the internet exceeded the number of people on earth in 2008. By 2020, there will be 50 to 100 billion devices connected to the internet, ranging from smartphones, pcs, and ATMs to manufacturing equipment in factories and products in shipping containers. It has been estimated that every individual on earth will have more than six devices connected to the internet by 2020. The sensory data these object produce have significant value to many different parties from supply chain management to healthcare services. Sensor data computing as a service model allows interested parties to buy data from an open market. Sensor data computing as a service model needs to be supported by wide range of sensing and communication technologies. Majority of these sensor data will come from the internet connected smart objects. This special issue will comprise a state of the art research finding related sensor data computing as a service model. This feature will include board range of technologies that involve in deploying and capturing sensor data to processing them in the cloud to deliver them to interested consumers on demand.
IEEE Transactions on Emerging Topics in Computing is an open access journal that publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT. TETC aggressively seeks proposals for Special Sections and Issues focusing on emerging topics. Prospective Guest Editors should contact the TETC EIC Fabrizio Lombardi at firstname.lastname@example.org for further details.
Special Issue on Haptics in Neuroscience
This special issue calls for papers related to the study of the neural basis of haptic perception and to technologies designed for haptic interaction.
The IEEE Transactions on Haptics (ToH), a quarterly archival publication, is seeking submissions that address the science, technology, and applications associated with information acquisition and object manipulation through touch.
IEEE Transactions on Knowledge and Data Engineering (TKDE), a monthly archival publication, is seeking submissions that present well-defined theoretical results and empirical studies that have a potential impact on the acquisition, management, storage, and graceful degeneration of knowledge and data, as well as in provision of knowledge and data services. We welcome treatments of the role of knowledge and data in the development and use of information systems and in the simplification of software and hardware development and maintenance.
Special Issue on Learning Analytics
The availability of digital data affords unprecedented possibilities for analysis of different aspects of human life. These possibilities have mobilized researchers, practitioners, institutional leaders, policy makers, and technology vendors to look at the ways these data can be used to understand and enhance learning and teaching. This intensive interest has given rise to the formation of the new field of learning analytics. According to the Society for Learning Analytics Research (SoLAR: http://solaresearch.org/), learning analytics is defined as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.” The field of learning analytics builds on and links to numerous other disciplines including learning sciences, social network analysis, (educational) data mining, language technologies, machine learning, information visualisation, computational thinking and sense‐making, (educational, social, cognitive, organisational) psychology, and educational theory.
Early results in the field of learning analytics offer much promise in identification of learners at risk of failing or dropping out of a course, understanding of information flow in social interactions, or identification of different cognitive, metacognitive and affective states in discourse and other behaviour traces. These results have attracted many institutions to invest in systemic implementation of learning analytics, development of relevant institutional policies, and creation of partnerships with organizations specializing in learning analytics. Data about user interactions with learning technologies are the main resources used in learning analytics. Given the early days in the development of the field of learning analytics, research is necessary to provide more effective methods in order to understand the factors that influence learning as well as to optimize learning outcomes and processes across cognitive, metacognitive, social, and affective dimensions.
IEEE Transactions on Learning Technologies (TLT), a quarterly archival online-only publication using a delayed open access publication model, is seeking submissions about all advances in learning technologies, such as innovative online learning systems, personalized and adaptive learning systems, and learning with mobile devices
IEEE Transactions on Mobile Computing (TMC), a monthly archival publication, is seeking submissions of mature works of research, typically those that have appeared in part in conferences, and that focus on the key technical issues related to, but not limited to, architectures, support services, algorithm/protocol design and analysis, mobile environments, mobile communication systems, and emerging technologies.
Special Issue on Design and Applications of Neuromorphic Computing System
As artificial intelligence technology becomes pervasive in society and ubiquitous in our lives, the desire for embedded-everywhere and human-centric computational intelligence systems calls for an intelligent computation paradigm. However, the applications of machine learning and neural networks involve large, noisy, incomplete, natural data sets that do not lend themselves to convenient solutions from current systems. Neuromorphic systems that are inspired by the working mechanism of human brains possess a massively parallel architecture with closely coupled memory and computing. This special issue aims at the computing methodology and systems across multiple technology scales to accelerate the development the neuromorphic hardware systems and the adoption for machine learning applications.
The IEEE Transactions on Multi-Scale Computing Systems (TMSCS) is a peer-reviewed publication devoted to computing systems that exploit multi-scale and multi-functionality. These systems consist of computational modules that utilize diverse implementation scales (from micro down to the nano scale) and heterogeneous hardware and software functionalities; moreover, these modules can be based on operating principles and models that are valid within but not necessarily across their respective scales and computational domains. Contributions to TMSCS must address computation of information and data at higher system-levels for processing by digital and emerging domains. These computing systems can also rely on diverse frameworks based on paradigms at molecular, quantum and other physical, chemical and biological levels. Innovative techniques such as inexact computing, management/optimization of smart infrastructures and neuromorphic modules are also considered within scope.
This publication covers pure research and applications within novel topics related to high performance computing, computational sustainability, storage organization and efficient algorithmic information distribution/processing; articles dealing with hardware/software implementations (functional units, architectures and algorithms), multi-scale modeling and simulation, mathematical models and designs across multiple scaling domains and functions are encouraged. Novel solutions based on digital and non-traditional emerging paradigms are sought for improving performance and efficiency in computation. Contributions on related topics would also be considered for publication.
IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
IEEE Transactions on Parallel and Distributed Systems (TPDS), a monthly archival publication, is seeking submissions that deal with the parallel and distributed systems research areas of current importance to our readers. Particular areas of interest in parallel systems include, but are not limited to, architectures, software, and algorithms and applications. Particular areas of interest in distributed systems include, but are not limited to, algorithms and foundation, distributed operating systems, and Internet computing and distributed applications.
Special Issue on Learning with Shared Information for Computer Vision and Multimedia Analysis
In the real world, a realistic setting for computer vision or multimedia recognition problems is that we have some classes containing lots of training data and many classes contain a small amount of training data. Therefore, how to use frequent classes to help learning rare classes for which it is harder to collect the training data is an open question. Learning with Shared Information is an emerging topic in machine learning, computer vision and multimedia analysis. There are different level of components that can be shared during concept modeling and machine learning stages, such as sharing generic object parts, sharing attributes, sharing transformations, sharing regularization parameters and sharing training examples, etc. Regarding the specific methods, multi-task learning, transfer learning and deep learning can be seen as using different strategies to share information. These learning with shared information methods are very effective in solving real-world large-scale problems. This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis. Both state-of-the-art works, as well as literature reviews, are welcome for submission. Papers addressing interesting real-world computer vision and multimedia applications are especially encouraged.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), a monthly archival publication, is seeking submissions that discuss the most important research results in all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence. Other areas of interest are machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition, and relevant specialized hardware and/or software architectures.
Special Issue on Software Engineering and Applications for Cloud-based Mobile Systems
With the global trend in making software systems both mobile and cloud-based, many such systems are being designed and offer situation-aware runtime services to their end users. At the same time, both latest and historic data, in massive amount, generated or accepted by these systems can be kept, processed, used, derived, and shared. Mobile components of such systems can be installed and upgraded through app markets either automatically or manually. Moreover, the changes in features of cloud components of such systems can be chosen by service providers at any time. This emerging type of software systems both enables and requires novel methods in conducting software requirement, design, verification and validation, deployment, operation, and maintenance activities. It also finds major applications in solving technical issues in the domains of smart and connected health, software analytics, wearable computing, internet-of-things, cyber-physical systems, creative computing, and smart planet, to name a few. Nonetheless, significant new challenges must be addressed. For instance, how to scale up and downsize mobile or cloud-based components of such systems at run time, how to collaboratively discover, manage and harvest lifecycle data and social information when conducting development activities and in operation , how to achieve data-driven coordination among the cyber-physical entities, how to manage the informationflow and decision making options in such systems are pressing issues to be investigated.
Special Issue on Advances in Web Services Research
Research in Web Services and Services Computing has progressed tremendously in the last decade, yet remains a very active area of research. The research has had large positive impacts on industrial practice in multi-billion dollar sectors of the economy. Services are everywhere. Continued progress in research and development in the areas of Web Services and Services Computing can spur further productivity and even greater usage.
IEEE Transactions on Services Computing (TSC) proudly announces a special issue on Advances in Web Services Research. The topics to be addressed in this special issue cover all the research areas/topics of the 2015 IEEE International Conference on Web Services, which include but are not limited to Services Discovery and Recommendation, Services Composition, Services QoS Management, Services Security and Privacy, Services Applications beyond Web, Semantic Services, and Service Oriented Software Engineering.
The IEEE International Conference on Web Services (ICWS) has been the prime international forum for both researchers and industrial practitioners to exchange the latest advances in the state of the art and practice of Web Services, to identify emerging research topics, and to define the future of Web-based services. After merging with the IEEE European Conference on Web Services (ECOWS) in 2012, this year ICWS celebrates its 22nd event in New York, NY, USA. This special issue of the IEEE Transactions on Services Computing (TSC) aims at publishing the best and most innovative papers presented at ICWS 2015 that represent the current frontier of research on Web services. The authors are invited to submit extended and revised versions of their ICWS 2015 conference papers to the special issue.
Special Issue on Special Issue Virtualization and Services for Cloud-Based Application Systems
Cloud-based application systems are rapidly deployed worldwide in production use via virtualization and services computing technologies. These systems utilize a variety of computing resources deployed in one or more Internet-based data centers in order to provide cost-efficient, dynamic and real-time quality-assured application capabilities.
However, the scaling demands for these application capabilities, compound with different levels of security and trust to the cloud providers, have put forward several new technical challenges. For instance, in an Internet-based virtual computing environment (IVCE), when application capabilities are increasingly delivered remotely and by dynamically composing third-party services (whose providers could be anonymous or unknown to the application consumer), the trustworthiness of the application systems becomes essential.
To address such new challenges, cloud-based application systems need technical innovations in a wide range of services computing technologies, including virtualization, services oriented design, development and deployment, and so on. Desirable innovations include resource-aware elastic scalability of cloud services; modeling and managing intra- and inter-cloud resources at different scales in a consistent manner; achieving high reliability, availability, durability and consistency of IVCE application systems; improving the trustworthiness of anonymous IVCE services; and so on.
Special Issue on Mobile Big Data Management and Innovative Applications
With the rapid growth of smart phones and the development of wireless technology, mobile applications in the world are continuously expanded, while the proliferation of mobile devices and their enhanced onboard sensing capabilities are playing increasingly important role to drive the explosion of mobile data. Furthermore, advances in social networking and cyber-physical systems are making mobile data “big” and consequently bring challenges for management and processing. All these factors contribute to a possible new service paradigm: mobile big data driven service computing, which includes various unique aspects, e.g., mobile big data collection and sensing; novel technologies for mobile big data transmissions, such as software-defined data transmissions and processing; mobile big data mining, such as mobility and demographic tracing based data mining. Under the new service paradigm, mobile big data management techniques and innovative applications need to be extensively investigated to gain the great potentials brought by the mobile big data.
In this special issue, we are particularly interested in high quality contributions and innovations in this interdisciplinary area of mobile big data technologies, systems, and services. We are especially interested in mobile big data management and innovative applications.
IEEE Transactions on Services Computing (TSC), is a quarterly archival online-only publication, is seeking submissions that emphasize the algorithmic, mathematical, statistical and computational methods that are central in services computing: the emerging field of service-oriented architecture, Web services, business process integration, solution performance management, services operations, and management.
IEEE Transactions on Software Engineering (TSE), a bimonthly archival publication, is seeking submissions of well-defined theoretical results and empirical studies that have a potential impact on the construction, analysis, or management of software. The scope of this Transactions ranges from the mechanisms through the development of principles to the application of those principles to specific environments. Since the journal is archival, it is assumed that the ideas presented are important, have been well analyzed, and/or empirically validated, and are of value to the software engineering research or practitioner community.
IEEE Transactions on Visualization and Computer Graphics (TVCG), a monthly archival publication, is seeking submissions that present important research results and state-of-the-art seminal papers related to computer graphics and visualization techniques, systems, software, hardware, and user interface issues. Specific topics in computer graphics and visualization include, but are not limited, algorithms, techniques and methodologies; systems and software; user studies and evaluation; rendering techniques and methodologies, including real-time rendering, graphics hardware, point-based rendering, and image-based rendering; and animation and simulation, including character animation, facial animation, motion-capture, physics-based simulation and animation.
Special Issue on Advances in the Application and Development of Non-Linear Global Optimization Techniques in Computational Structural Biology
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) seeks original manuscripts for a Special Issue/Section on Advances in the application and development of non-linear global optimization techniques in computational structural biology.
Computational structural biology is an important, growing research area that includes diverse problems, such as protein structure prediction, computational molecular assembly and computer-assisted drug design problems, such as protein-ligand binding, protein-protein, protein-RNA, and protein-DNA docking, as well as computer-assisted wet-laboratory structure resolving problems, like registration, reconstruction and refinement.
The aim of this special issue is to capture ongoing interdisciplinary research that draws upon joint expertise in meta-heuristic optimization and computational structural biology. The focus will be to provide both breadth in the diversity of selected problems and depth in state-of-the-art techniques for selected problems. Manuscripts of interests will therefore focus on the application of non-linear optimization to problems in structural biology. We particularly encourage theoretical and empirical work related to the development of new optimization protocols, the analysis of existing protocols to better understand performance, and examples of the application of complete protocols to yield biological insight.
BHI-2016 International Conference on Biomedical and Health Informatics
The IEEE International Conference on Biomedical and Health Informatics (BHI) is a special topic conference of IEEE Engineering in Medicine and Biology Society (IEEE-EMBS). The main theme of the BHI2016 is the “Integrative informatics for precision and preventive medicine.” Advancing health informatics has been identified as a grand challenge for engineering in the 21st century by the National Academy of Engineering. Maintaining and improving human health will require integrative and novel informatics solutions to better translate discovery into clinics, re-engineer care practices, and integrate big data of various health networks.
The BHI2016 will provide a unique forum to showcase enabling technologies of computing, devices, imaging, sensors, and systems that optimize the acquisition, transmission, processing, storage, retrieval, visualization, and analysis. It will share how integrative BHI informatics solutions can be used in novel applications to improve human health, and how the deployment of integrated bioinformatics, m-Health, e-Health, and tele-Health with Enterprise IT can enable precision and preventive medicine.
BHI’2016 welcomes original submissions that have not been published or under review by researchers, clinicians, and industrial partners from the biomedical, life sciences, medical, and industrial communities.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), a bimonthly archival publication, is seeking submissions that discuss research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology. This includes, but is not limited to, the development and testing of effective computer programs in bioinformatics; the development and optimization of biological databases; and important biological results that are obtained from the use of these methods, programs, and databases.