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 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 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 Emerging Memory Technologies in Very Large Scale Computing and Storage Systems
The overwhelming increased demand for both storage and computation necessitates revisiting the traditional memory subsystems used in processors and storage systems to take advantage of emerging memory technologies. The promising features of emerging memory technologies such as low power consumption, increased performance, less susceptibility to particle strikes, and higher bit density have prompted researchers to seek new organizations in the different memoryhierarchy levels, to propose circuitries and algorithms to improve performance and reduce power consumption, and to develop new schemes to enhance system reliability. While performance and power are the major motivations to revisit memory organization in cache hierarchy of modern processors, several contributing factors such as endurance, reliability, power, throughput, and cost are major concerns in storage subsystems and solid-state drives (SSDs). Design refinement techniques in both processors and storage systems can span different computer system abstractions including circuit design, micro-architectural techniques, system architecture, and operating system level.
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 Cloud Security
Cloud computing is an innovative Internet-based computing paradigm that enables cloud users to move out their data and applications to a remote Cloud to deploy scalable and elastic service on demand without having to provision a data center. This computing paradigm removes the need for service providers to plan ahead for provisioning and allows companies to start small and then increase computing or storage resources only when there is a need, thereby offering costeffective services. However, as the users' data and applications are outsourced to centralized massive data centers, IT security specialists warn that Cloud is becoming particularly attractive to cyber crooks. As a matter of fact, according to IT Cloud Services User Survey and CSA Security Guidance, security has been cited as the top concern by cloud users. If such concern is not carefully addressed, it will significantly hinder cloud systems from being pervasively adopted. Cloud security issues include data privacy, data integrity, and service availability, among others. However, are these security issues new, or unique, to cloud computing? Also, should the task of addressing these security issues be solely on the shoulders of the cloud providers, or indeed both the cloud providers and the cloud users are responsible for the task? On the other hand, due to the needed extra computing, security controls often incur a certain amount of performance degradation in cloud computing where performance is crucial and its computation and communication complexities are already high. This poses challenges to the system developers with regards to preventing privacy leaks, performing data auditing, and guaranteeing high availability in the face of different security attacks. In addition, there must be fundamental security problems that are specific to cloud computing. For example, to offer cloud users an efficient programming environment, when developing service models, such as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), or Software-as-a-Service (SaaS), cloud providers may encounter some security issues that have never been encountered in the development of a conventional data center. If there are such fundamental security problems, researchers and engineers are encouraged to identify them and offer their solutions. There have been a few studies investigating the fundamental properties of the cloud security issues, including data auditing, searchable data encryption, hypervisor protection, cloud forensics, disaster recovery, just to name a few. Cloud security is driving how we define and develop cloud computing solutions. The goal of this special issue is thus to provide a forum for researchers working on cloud security to present their recent research results.
Special Issue on Autonomic Provisioning of Big Data Applications on Clouds
This special issue solicits papers that advance the fundamental understanding, technologies, and concepts related to autonomic provisioning of cloud resources for Big Data applications. The research advancement is in this area is important because such large, heterogeneous, and uncertain Big Data applications are becoming increasingly common, yet current cloud resource provisioning methods do not scale well and nor do they perform well under highly unpredictable conditions (data volume, data variety, data arrival rate, etc.). If these problems are resolved, then cloud-hosted Big Data applications will operate more efficiently, with reduced financial and environmental costs, reduced under-utilisation of resources, and better performance at times of unpredictable workload.
Special Issue on Scientific Cloud Computing
Computational and Data-Driven Sciences have become the third and fourth pillar of scientific discovery in addition to experimental and theoretical sciences. Scientific Computing has already begun to change how science is done, enabling scientific breakthroughs through new kinds of experiments that would have been impossible only a decade ago. It is the key to solving "grand challenges" in many domains and providing breakthroughs in new knowledge, and it comes in many shapes and forms: high-performance computing (HPC) which is heavily focused on compute-intensive applications; high-throughput computing(HTC) which focuses on using many computing resources over long periods of time to accomplish its computational tasks; many-task computing (MTC) which aims to bridge the gap between HPC and HTC by focusing on using many resources over short periods of time; and data-intensive computing which is heavily focused on data distribution, data-parallel execution, and harnessing data locality by scheduling of computations close to the data. Today's "Big Data" trend is generating datasets that are increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of the 21st century. Not surprisingly, it becomes increasingly difficult to design and operate large scale systems capable of addressing these grand challenges.
This journal Special Issue on Scientific Cloud Computing in the IEEE Transaction on Cloud Computing will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running these kinds of scientific computing workloads on Cloud Computing infrastructures. This special is sue will focus on the use of cloud-based technologies to meet new compute-intensive and data-intensive scientific challenges that are not well served by the current supercomputers, grids and HPC clusters. The special issue will aim to address questions such as: What architectural changes to the current cloud frameworks (hardware, operating systems, networking and/or programming models) are needed to support science? Dynamic information derived from remote instruments and coupled simulation, and sensor ensembles that stream data for real-time analysis are important emerging techniques in scientific and cyber-physical engineering systems. How can cloud techn ologies enable and adapt to these new scientific approaches dealing with dynamism? How are scientists using clouds? Are there scientific HPC/HTC/MTC workloads that are suitable candidates to take advantage of emerging cloud computing resources with high efficiency? Commercial public clouds provide easy access to cloud infrastructure for scientists. What are the gaps in commercial cloud offerings and how can they be adapted for running existing and novel eScience applications? What benefits exist by adopting the cloud model, over clusters, grids, or supercomputers? What factors are limiting clouds use or would make them more usable/efficient?
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.
Special Issue on Emerging Computing Technologies for Resilient and Robust Intelligent Infrastructure
Recent years have ushered a substantial growth in ubiquitous wireless networking, 'network of things', multi-core processors with massive processing power, continuous improvements in machine learning algorithms and data mining techniques etc. As a result of such a confluence of all these revolutionary efficiency of scale, and predictability, an emergent application field of computing is 'Intelligent Infrastructure'. Intelligent infrastructures are civil infrastructures endowed with computation, communication, and computational intelligence to enable automated decision making by the infrastructure to facilitate efficient, secure, resilient and robust functioning of systems of importance to the civil society. Examples of such systems range from E-Governance, Smart Hospital, E-Health Management, Smart-Home, Smart Buildings, Smart City, Smart Transportation, Smart Grid etc. In all of these, various components of the infrastructure are instrumented with sensors to collect real-time data, a SCADA like system to make various intelligent decisions about resource allocation, scheduling, fault-management, event management and so on. For example, in Smart Grid arena, there is an emerging emphasis on intelligent, self-healing distribution infrastructure which involves smart meters, demand response systems, self-healing distribution feeders etc. Some of the issues that confront the engineers and researchers working on embedding intelligence in the infrastructure include ensuring resilience of such systems in the face of cyber-attacks, unexpected event storms, accidental malfunctions, software/hardware defects, as well as policy questions in terms of implementing such systems in civil society. Robust implementation of such large scale systems is also a challenge. This special section invites articles on emerging technical approaches to building intelligent infrastructures, cyber security/privacy, robust, scalable interoperable and fault tolerant implementation of such systems, real deployment case studies, issues germane to the intersection of technology and policy for deploying such systems etc.
Special Issue on Emerging Systems and Applications for Wireless Health Computing
IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue on Wireless Health Computing scheduled to appear in the December 2014 Issue. The Wireless Health annual conference series convenes the vanguard international research communities in Wireless and Mobile Health technology. The mission of the Wireless Health conference is to provide the highest?profile academic and industrial research forum and to develop an international community that will accelerate the development and adoption of a new vision for improving health, increasing healthcare quality and, ultimately, the lowering costs health care. To further promote the work presented at Wireless Health 2013, IEEE TETC is planning a special issue in 2014 on "the best of Wireless Health 2013". All authors who presented papers at Wireless Health 2013 are invited to submit extended versions of their papers to IEEE TETC for inclusion in this special issue. Given that the Wireless Health 2013 proceedings will be published, it is required that submissions to the special issue have at least 30% new content.
Special Issue on Coordination in Large-scale Socio-Technical Systems
The massive diffusion of networked ICT devices, increasingly entangled with our physical and social world, is leading to the emergence of large-scale distributed computing systems. These can provide us with a variety of innovative service and new functionalities, once we understand how to direct and coordinate their activities. You can consider sensor/actuator networks; robot swarms; platforms for collective sensing and actions; platforms for global collaboration and production. All of these, to be of some use, require the capability of effectively coordinating the activities of a very large number (up to the millions) of heterogeneous components, such as humans, software agents, robots, and generic ICT devices. And this in spite of components that are: situated in dynamic and unpredictable environments; inherently context-aware in their interaction; inherently autonomous; and, thus, practically impossible to be controlled at the individual level.
Special Issue on Advances in Semantic Computing
Semantic Computing (SC) is an emerging field that addresses computing technologies which allow users to search, create and manipulate computational resources (including data, documents, tools, people, devices, etc.) based on semantics ("meaning", "intention"). Semantic Computing includes the computing technologies (e.g., artificial intelligence, natural language, software engineering, data and knowledge engineering, computer systems, signal processing, etc.), and their interactions, that may be used to extract or process computational content and descriptions. While some areas of Semantic Computing have appeared as isolated pieces in individual disciplines, Semantic Computing glues these pieces together into an integrated theme with synergetic interactions. It addresses not only the analysis and transformation of signals (e.g., pixels, words) into useful information, but also how such information can be accessed and used to synthesize new signals.
Special Issue on Advances in Neuromorphic and Analog VLSI Computing
Over the last few years there has been a renewed interest in the area of neuromorphic and analog VLSI computing. As an alternative to digital computation and digital signal processing, neuromorphic and analog VLSI processors exploit computational primitives inherent in the device physics, similar to principles that have been observed in neurobiology. As a result, very high computational densities and energy efficiencies can be potentially achieved using massively parallel architectures. This is particularly true for sensory signal processing and recognition systems where precise computing is not mission critical. On the other end of the spectrum, massive parallel neuromorphic computing systems are enabling near real-time simulations of biological systems ranging from a single neuron to the functional level at the scale of a mammalian brain. As such, there exists a tremendous potential for applying neuromorphic and analog VLSI computing techniques to mobile devices, biomedical systems, unattended sensors for defense and security systems, and cognitive computing systems. The focus of this special issue will be on novel neuromorphic and analog VLSI computing algorithms, non-traditional neuromorphic and analog VLSI circuits, algorithm and circuit co-design, and emerging applications.
Special Issue on Advances in Software Aging and Rejuvenation
After more than ten years of research work in Software Aging and Rejuvenation (SAR), this special issue tries to collect theoretical and experimental contributions related to the software aging and rejuvenation. Authors from academia, industry and government are invited to submit high quality papers describing the results of theoretical and experimental SAR research.
Special Issue on Emerging Mobile and Ubiquitous Systems
Over the last few years there has been a renewed interest in the area of mobile and ubiquitous systems. The expansion of IP networks across the world has made it far easier for Machine-to-Machine (M2M) communication to take place and has lessened the amount of power and time necessary for information to be communicated between machines. The Internet of Things becomes a non-deterministic and open network in which auto-organized objects are interoperable and able to act independently depending on the context, circumstances or environments. It leverages the capacity to collect and analyze the digital traces when interacting with widely deployed smart things to discover the knowledge about human life, environment interaction, as well as social connection/behavior. This special issue also includes emerging systems and applications that combine mobile/ubiquitous computing with cloud computing, social networks, data mining, cyber-physical systems, service computing, etc.
Special Issue on Reproducible Research Methodologies
Computer science and engineering research fields increasingly rely on numerous ad hoc methods to explore research breakthroughs, particularly during empirical and statistical analysis, modeling, optimization and simulation of complex computer systems. These ad hoc methods are utilized due to a variety of factors including problem complexity and size, speed of advancement and return on investment, cost of designing prototypes, and minimal access to state-of-the-art fabrication. However, lack of a common experimental methodology, and lack of simple and unified mechanisms, tools and repositories to preserve and exchange the whole experimental setup including all past research artifacts makes it excessively challenging or even impossible to accurately reproduce experimental results for evaluation and future advancement.
The special issue on reproducible research methodologies is an invitation to papers covering topics in hardware and software analysis, modeling, optimization, run-time adaptation, simulation and co-design. Papers are solicited to address scientific (and possibly interdisciplinary) methods to design research environments, experimental methodologies, and gold standards for trustable and reproducible research methodologies in computer science and engineering disciplines. Further, papers on public frameworks and repositories to preserve and exchange research artifacts and experimental setups are also encouraged.
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.
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 Seamless, Ubiquitous, and Contextual Learning
Advances in mobile and sensor technologies, cloud computing, and related Internet technologies have been phenomenal in recent years. Worldwide, the number of people with access to mobile technologies is also increasing very rapidly. There are currently more than 1 billion smartphone users in the world. The number of mobile apps for supporting learning and education has grown exponentially. Due to their relatively affordable cost and ubiquity, mobile technologies enable educators to reach out to populations of people that do not have universal access to education.
These developments are altering the landscape of technological infrastructure for work, play, and learning. The potential for and the space of possibilities for enhancing or disrupting learning ecologies has been ever greater than at any other point in human history. It is now opportune to reflect on what research has informed us on where we are now in this journey of designing and implementing designs of seamless, ubiquitous, and contextual learning and developing and refining the underlying theories and supporting software applications and technologies.
Seamless, ubiquitous, and contextual learning are notions of learning which are motivated or enabled by the mobility, ubiquity, and contextual awareness of digital and networked technologies. In seamless learning, learning happens continuously and bridges contexts such as formal and informal learning via different technologies. In ubiquitous learning, learners draw from the pervasive and embedded technologies around us. In contextual learning, awareness of the context can be detected and supported by location-based and other sensor-based technologies.
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.
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 Recommendation Systems for Services Computing and Cloud Computing
With the prevalence of services computing and cloud computing, a large number of services are provided by competing service providers, applications are becoming large-scale and complex, and a large volume of information is generated by various service-oriented applications and cloud applications. It is challenging for users to find the right information that they want (e.g., to determine optimal web services when making service selection, detect vulnerable components in complex service-oriented applications and cloud applications, identify a suitable server for deploying cloud applications, etc.). Efficient and effective recommendation techniques are becoming important to help developers and users cope with the huge amount of information in services computing and cloud computing. Recommender systems are software applications that aim to support users in their decision-making while interacting with large information spaces. In services computing and cloud computing, they provide users with information to guide them in a number of activities (e.g., service selection, service discovery, cloud deployment, etc.). Recommendation systems can draw from a wide variety of input data, and benefit from different types of analyses. This special issue will present novel research results on recommendation systems for services computing and cloud computing, and will provide an integrated and synthesized view of the current state-of-the-art, identify key challenges and opportunities, and promote community-building among researchers and practitioners in related fields.
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 Software and Databases in TCBB
A Special issue of the IEEE/ACM Transactions on Computational Biology and Bioinformatics is being organized. It will focus on software tools and information systems that are central in bioinformatics and computational biology.
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.