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 Knowledge & Data Engineering
- 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 Sustainable Computing
- 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.
Special Issue on Computational Modelling of Emotion: Theory and Applications
In the early decades of cognitive science research, emotion was either absent or side-lined from most computational models of human behaviour. Since then interest in attempts to computationally model emotions has grown, with many projects now either attempting to understand natural emotions or to implement synthetic emotions in chatbots, virtual agents or robots, for practical uses of many sorts from entertainment to caring. Whilst there are now numerous models of affective phenomena in the literature, they differ in important respects. They differ in how they describe and explain a range of phenomena, including the nature and order of perceptual, cognitive and emotional mental processes and behavioural responses in emotional episodes. They also differ in their target level of granularity: from fine-grained neural to coarse-grained psychological. Different models simulate emotions (and other mental states) with different ontological status and with a different focus on whether they model external behaviour or internal states. This diversity provides a challenge, but also an opportunity.
This special issue aims to facilitate movement towards a mature integrated field with a deeper and richer understanding of biological minds and also design functionalities of applied models by more clearly setting out interrelationships between models and present attempts to provide formal or standard models of particular approaches within emotion modelling. For example, Marsella, Gratch and Petta (2010) focus on appraisal and dimensional models and Scherer (2010) sets out a broader taxonomic analysis including radically different kinds of emotion models, including: appraisal; adaptational; dimensional; motivational; circuit; discrete; lexical and social constructivist models. Whilst Broekens, DeGroot and Kosters (2008) provide a deeper yet narrower analysis by formalising the structure of emotional appraisal structures with a notation for the declarative semantics of these kinds of emotional states. Hudlicka (2011) shows how a broader organising approach can progress by highlighting the generation and effect of emotions as fundamental processes with associated 'generic tasks' that can lead to broad categorisations useful in creating guidelines for model development and more systematic comparison of existing models. The project for standardisation and formalisation for emotion models is taken further by Reisenzein, Hudlicka, Dastani, Gratch, Hindriks, Lorini, and Meyer (2013), who propose further standardisation; formalisation; and in addition, integration of emotion models with existing prominent and widely used cognitive architectures. Standardisation can involve benchmark scenarios and replication of results. However, benchmarks can have a negative influence on progress if they become narrow targets for model development. This kind of narrow development can be minimised by clarity regarding how the modelling is done and what theoretical or applied goals are to be achieved for a given model.
Contributions that move this debate in the literature forward by further identifying and attempting to remedy gaps in current research on affective phenomena are particularly welcome. For example, some emotion models fail to acknowledge that emotions are just a subcategory of "affect". Richer theories and models should include motives, attachments, preferences, values, standards, attitudes, moods, ambitions, obsessions, humour, grief, various kinds of pride, and various other social, complex and secondary emotions as well as moral and aesthetic phenomena. The narrow focus may not matter much for narrowly focused applications of AI, such as toys or entertainment, but it can lead to serious omissions and distortions in attempts to advance the science of mind through computational modelling.
Therefore the aims of this special issue include: presenting the state of the art in emotion modelling and considering how existing research in modelling of emotions, motivation and other varieties of affect can be integrated, validated and compared with each other as well as with possible 'standard models' of emotion. The special edition also aims to explaining how technological applications based on this broader, more standardised and formalised approach can be used to make contributions to psychological theory.
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.
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.
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.
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).
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
- Computer System Security
- Emerging Hardware for Computing
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 Cecilia Metra, EIC of IEEE TETC, firstname.lastname@example.org
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 email@example.com for further details.
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.
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.
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.
Special Issue on Intelligent Network Management
With the development of IT technology, communication networks have been evolving from a medium of data exchange to a platform providing diverse services. Recently, operators have started to explore how to use Artificial Intelligence (AI) to simplify, optimize and intelligently assist with network management and control to reduce operational costs and to improve performance and user experience. Recent breakthroughs from big data technology have accelerated this interest.
In general, such AI technologies will enable operators to gain a deeper understanding of the network dynamics and enable more accurate forecasts of network trends. While it is important to gain such knowledge, the more challenging question is how to apply such knowledge to improve the network performance, i.e., to improve planning and operating decisions for managing the network. This is not straightforward for many reasons. For example, current decision making models were not developed for using such knowledge, and efforts made to gain and apply such knowledge is at an early stage. Additionally, forecasts based on such knowledge have a shelf life, and may become invalid after network operating policies are changed. For example, users may adjust their demand patterns in response to network changes. Therefore, new methods are needed for implementing intelligent network management. A three stage closed loop model is needed to uncover useful patterns through: 1) closely observing the network, 2) forecasting network trends, 3) applying the knowledge gained to improve the network.
Addressing the above challenge involves knowledge and skills from different disciplines, spanning from AI, networking, optimization, game theory, and so on. This special issue (SI) calls for research on intelligent network management. While the scope of intelligence application can be broadly defined as network performance analysis and forecasting, we are especially interested in network operational functions such as capacity planning, resource provisioning, routing, faulty recovery, etc. We welcome theoretical work for building scientific foundations, as well as cases of specific applications to demonstrate the potential.
Special Issue on Economics of Modern Networks
Many modern networks are becoming increasingly heterogeneous, dynamic, and complex. The need for smart and self-organizing network designs has become a central research issue in a variety of applications and scenarios. Proper economic mechanism design will go hand-in-hand with technology advances in solving many complex design and operation issues in these modern networks. This special issue solicits the state-of-art economic modeling and analysis results on a wide range of modern networks, such as Internet, wireless networks, energy networks, transportation networks, social networks and supply chain networks. We are particularly interested in contributions that can address issues in more than one type of networks.
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.
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 Holistic Technologies for Managing Internet of Things Services
Internet of Things (IoT) service systems are aimed at monitoring and controlling the behavior of the physical world using a vast interlinked network of devices such as sensors, gateways, switches, routers, computing resources, applications/services, and humans to link the digital world with the physical. IoT service systems drive the vision of a smart interconnected digital-physical world where interactions among different components can be handled in a proper way. The challenges of IoT service systems are also significant, such as fast growth of the scale, deep complexity of data sensing and processing, intense system monitoring in real time, and efficient and effective management for IoT-based service systems (smart grid, smart healthcare, industry4.0, fog/edge). To address the above challenges, novel technologies that have to be investigated include high performance control methods, efficient detection and protection for IoT security, and cross-layer technologies for IoT service systems.
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.
Special Issue on Sustainable Information Security and Forensic Computing
Modern societies are becoming increasingly reliance on inter-connected digital systems, where commercial activities and government services are delivered. Despite the benefits, it is impossible to overstate the importance of information security and forensics in a highly inter-connected system. To address security threats to network infrastructure devices and sensitive data, many different solutions capable of providing a suitable degree of security and forensic capability have been proposed. However, such solutions have not been properly designed to address important aspects such as computational costs, scalability, energy efficiency and resource usage. This special issue thus focuses on practical aspects of information security and forensics in sustainable computing. We solicit original contributions on novel threats, defences and security, information, tools, and digital forensics applications in sustainable computing. We also seek contributions motivated by taking real-world security and forensic problems and theoretical works that have clear intention for practical applications.
Special Issue on Sustainability of Fog/Edge Computing Systems
Fog/Edge Computing is an emerging architectural as well as technical approach aimed at addressing various shortcomings in traditional cloud computing paradigms and responding to today’s constantly increasing data-demanding services such as Internet-of-Things, 5G embedded artificial intelligence and smart cities. In Fog/Edge Computing, nodes at the edge of a network are equipped with processing, storage, networking, etc. capabilities to take over several tasks that were used to be sent to cloud services. Pre-filtering and aggregation of data as well as online processing and actuation are sample procedures envisaged/dedicated to fog/edge nodes.
Although slightly different in the way they are implemented, fog and edge paradigms are designed in direct response to various challenges in operating smooth IoT and 5G services including –but not limited to: stringent latency requirements from sensing to actuation, network bandwidth limitation for large-sized aggregated data, limited resources for edge devices to perform tasks, and security requirements for all data flows and operations. Satisfying all aforementioned concerns becomes even more challenging when considering the rapid constant grow of edge devices/sensors. For example, the current number of IoT devices will rapidly increase from 15 billion to 50 billion by 2020 (according to CISCO), while the number of sensors will increase to as high as 1 trillion by 2030 (according to HP Labs). As a consequence, sustainability of such systems becomes a necessity rather than a luxury.
To address several major issues regarding sustainability of future fog/edge systems, this special issue aims at highlighting challenges, state-of-the-art, and solutions to a set of currently unresolved key questions including –but not limited to—performance, modelling, optimization, reliability, security, privacy and techno-economic aspects of fog/edge architectures. Through addressing these concerns while understanding their impacts and limitations, technological advancements will be channelled toward more sustainable/efficient platforms for tomorrow’s ever-connected systems.
Special Issue on Intelligent Data Analysis for Sustainable Computing
Recent years have witnessed a deluge of new and big spatio-temporal data streams that contain a wealth of information relevant to sustainable development goals. The analysis of such data streams poses tremendous challenges in the current computing systems, due to its strong correlations between the temporal and spatial domain of the data, and the emerging needs of real-time decision support in some real-world problems.
To obtain this valuable information, there is an urgent demand for high-level computational intelligence based on emerging analytical techniques, such as big data analytics, Web analytics, and network analytics, employing software tools from advanced analytics disciplines, such as machine learning, data mining, and predictive analytics. This results in modern data analysis techniques having the potential to yield accurate, inexpensive, and high scalable models for providing intelligent and real-time decision support in creating effective computing systems. This will also result in addressing sustainability problems in computing and information processing environments at different levels of computational intelligence paradigms. Computational intelligent data analysis is playing an ever-increasingly important and critical role in achieving sustainable ICT (Information and Communication Technology) in new computing paradigms of the current data-driven era.
This special issue is devoted to the most recent developments and research outcomes addressing the related theoretical and practical aspects of computational intelligence solutions in sustainable computing and aims at presenting latest innovative ideas targeted at the corresponding key challenges, either from a methodological or from an application perspective.
Special Issue on Intersection of Computing and Communication Technologies with Energy Systems
Computing and communication technologies impact energy systems in two distinct ways. The exponential growth of these technologies has made them large energy consumers. Therefore, new architectures, technologies and systems are being developed and deployed to make computing and networked system more energy efficient. Additionally, these technologies will play a central role in the on-going transformation of our energy systems. They help measure, monitor and control energy resources, inform and shape human demand, and determine how utilities, generators, regulators, and consumers interact. Recently, there have been vibrant developments in the research community at the intersection of computing and communication technologies with energy systems. Diverse applications of computing and networked systems have made legacy systems more energy-efficient, as well as improved the design, analysis, and development of innovative new energy systems.
This special issue calls for novel ideas for shaping the future of this area. We seek high-quality papers at the intersection of computing and communication technologies with energy systems. We welcome submissions describing conceptual advances, as well as advances in system design, implementation and experimentation.
IEEE Transactions on Sustainable Computing (TSUSC) is a peer-reviewed journal devoted to publishing high-quality papers that explore the different aspects of sustainable computing, over a wide range of problem domains and technologies from software and hardware designs to applications. Sustainability includes energy efficiency, natural resources preservation, and use of multiple energy sources as needed in computing devices and infrastructure.
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.
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.