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 Data Quality in Big Data: Problems and Solutions
The recent emergence of Big Data ushered in many applications that are vast and varied. Though data quality problems existed before, the advent of Big Data adds new dimensions as well as exacerbates data quality problems. We seek submissions for the September 2016 special issue on Data Quality in Big Data: Problems and Solutions.
The guest editors solicit papers covering all areas of data quality issues in the context of Big Data including data acquisition, data cleaning, semantics and meta data generation, transformations and multi-modal data fusion, data modeling and storage, query execution and workflow optimization, and analytics.
Special Issue on Big Data for Cyber-Physical Systems
Cyber-Physical Systems (CPS) are characterized by the deep complex intertwining among cyber components and physical components. Due to the fast increase in system complexities, the operations of CPS involve sensing, processing and storage of massive amount of data. This nature of “big data” imposes fundamental challenges on the design and management of CPS in multiple aspects such as performance, energy efficiency, security, privacy, reliability, sustainability, fault tolerance, scalability and flexibility. Tackling these challenges necessitates innovative big data techniques for handling massive data in CPS. This special issue will present the state-of-the-art research results on the topic of big data sensing, processing and storage for CPS, and stimulate a broad range of researchers to participate in the interdisciplinary CPS research in the future.
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.
Special Section on Secure Computer Architectures
Nowadays, computer architectures are profoundly affected by a new security landscape, caused by the dramatic evolution of information technology over the past decade. First, secure computer architectures have to support a wide range of security applications that extend well beyond the desktop environment, and that also include handheld, mobile and embedded architectures, as well as high-end computing servers. Second, secure computer architectures have to support new applications of information security and privacy, as well as new information security standards. Third, secure computer architectures have to be protected and be tamper-resistant at multiple abstraction levels, covering network, software, and hardware. This Special Section from Transactions on Computers aims to capture this evolving landscape of secure computing architectures, to build a vision of opportunities and unresolved challenges. It is expected that contributed submissions will place emphasis on secure computing in general and on engineering and architecture design aspects of security in particular.
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 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.
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.
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 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 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 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
- 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 Fabrizio Lombardi, EIC of IEEE TETC, firstname.lastname@example.org
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 Emerging Trends and Design Paradigms for Memory Systems and Storage
The continuing scaling of silicon-based microelectronic technology, as well as the emergence of new, non-silicon-based technologies, enable increasing system complexity and performance, paving the way to applications which had been unthinkable a few years ago. At the same time, an ever-increasing amount of data needs to be stored and accessed quickly, posing new challenges to memory systems and storage elements. IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on Emerging Trends and Design Paradigms for Memory Systems and Storage covering the entire spectrum of relevant research activities, from manufacturing to test, which is scheduled to appear in the second issue of 2017. All aspects of manufacturing, design, test, reliability, resilience and availability of memory systems and storage are of interest.
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.
Special Issue on Big Data Computing for the Smart Grid
With the increasing deployment of new monitoring devices and advanced measurement infrastructures, such as phasor measurement units and smart meters, smart grid is collecting large amounts of energy-related data at an unprecedented granularity, speed, and complexity. Smart grid has become data-driven, which calls for intelligent big data computing methods and solutions (such as predictive data mining, robust data analytics, artificial intelligence, distributed and high performance computing, efficient data management, database and data warehousing, and cloud computing techniques). With the growing volume, speed and types of big data from the energy industry, data-intensive computing is imperative to guarantee critical functionalities in smart grid, such as real-time wide-area situational awareness, dynamic energy management, demand response, vehicle-to-grid technology, load prediction, and renewable production forecasting. The focus of this special issue is on the improvement of smart grid operations and applications with emphasis on big data computing. We solicit and publish original research papers on the technologies, algorithms, and methodologies that highlight emerging computation technologies for smart grid big data.
Special Issue on Cyber-Physical Social Systems: Integrating Human into Computing
IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue on Cyber-Physical-Social Systems: Integrating Human into Computing. The last decade has seen human factors becoming increasingly important in computing systems. Therefore, by integrating human factors as part of a system, a cyber-physical social system (CPSS) encompasses not only cyberspace and physical world, but also human knowledge, mental capacity, and sociocultural elements. Just as the Internet has transformed the way that people interact with information, CPSS will transform the way people interact with every computing systems and create new revolutionary science, technical capabilities for better quality of life. To actualize this vision, CPSS no doubt requires further innovations in creating new device, service and computing architecture. This special issue will comprise state-of-the-art research in enabling cyber-physical social systems with emphasis on computing, including a broad range of enabling technologies in developing and optimizing the architecture, design, and operation of CPSS.
Special Issue on eDemocracy and eGovernment (SIEDEG)
Representatives of the governments, international organizations and universities are called to develop a vision for eDemocracy, and eGovernment. The SIEDEG is a peer-review special issue to be published at IEEE Transactions on Emerging Topics in Computing. It covers technical and non-technical aspects of eSociety, eGovernance, eParticipation, eDemocracy, eGovernment and eHealth. The main objective is to discuss the regions’ transition to an information and knowledge society that will accelerate and enhance regional economic, social, cultural and technological development and exchange. SIEDEG addresses the main issues of public administration and electronic democracy with an academic and practical perspective.
Special Issue on High Dependability Systems
IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on High Dependability Systems scheduled to appear in the third issue of 2017. The continuous scaling of microelectronic technology enables to increase system complexity and performance. This comes together with new dependability (i.e., reliability, availability, safety and security) challenges, as possible in general purpose electronics as well for applications demanding high dependability, such as automotive, space, transportation, etc. All aspects of fault modelling, reliability, availability, safety and security are of interest for this Special Issue/Section. Original manuscripts covering the entire spectrum of relevant research activities are sought.
Special Issue on Emerging Technologies for Disaster Management
We live in a world in which natural and man-made disasters (such as earthquakes, hurricanes, terrorist attacks, and industrial accidents) often occur. These disasters are so sudden in nature, so causing loss of human lives and interruption of essential public services (such as health care, electricity, water, transportation and communication). Disaster management aims to reduce or avoid potential losses from hazards, ensure prompt and appropriate assistance to victims and achieve a rapid and effective recovery. In recent years, new computing/communication technologies have emerged to improve the efficiency of disaster management; for example, crowdsourcing has been applied in the Nepal earthquake to collect the latest information from earthquake-affected areas and create a dynamic map that shows the locations in which aid and relief are needed. Although some preliminary attempts have been made to apply emerging technologies for disaster management, there are many open challenges that need to be addressed to fully exploit the potentials of these promising technologies.
Various technologies must be considered in the entire disaster management process and its many phases, including prevention, preparedness, relief and recovery. Although disasters cannot often be prevented, new technologies must be explored to predict and prepare through robust and resilient infrastructures. After a disaster occurs, advanced technologies are needed to assist in searching and rescuing victims. Since power and communication are usually interrupted, it is important to quickly recover communication using energy-efficient technologies, so that processing of information can take place; furthermore, good planning and scheduling can also help to quickly recover from a disaster.
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 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.
Special Issue on Accelerated Computing
Accelerated Computing is a computing model whereby calculations are carried out on specialized hardware (known as accelerator) in tandem with traditional CPUs to achieve faster, lower-power, and even more reliable execution. Accelerators are highly specialized hardware components that can execute a specific functionality very efficiently. The specific functionality that can execute efficiently on the accelerator executes on the accelerator, while the remainder of the code continues to run on the CPU. Accelerators come in several forms. Hardware accelerators, e.g., LTE, GNSS, GSM modules found on modern smartphones are essentially ASICs that can accelerate a particular computing functionality very well, and will provide the best power and performance of the functionality possible. However, they are not programmable, and that limits their usage. There is a large variety of programmable accelerators, from the vector processors (e.g., Intel SSE, and PowerPC Altivec) to GPGPUs (General Purpose Graphics Processing Units). Programmable accelerators trade-off some power-efficiency for easier adoption, and higher re-usability. Field Programmable Gate Array or FPGAs, while primarily used for fast prototyping, are being used as programmable, and reconfigurable accelerators. Accelerators by design have a lot of computing resources, and therefore naturally provide computational redundancy. This can be used to provide fault tolerance through redundant computation.
While accelerated computing has been a topic of lot of extremely influential research, there are still a lot of issues that need further investigation to increase the effectiveness and efficiency of accelerated computing. Novel accelerator architectures are needed for emerging applications, e.g., deep neural networks, brain simulations etc. New programming models are needed to effectively and dynamically balance the workload among the computational resources in the accelerator, and also between the accelerator and the CPU. Of course the programming models should keep programming natural and easy; otherwise, it becomes hard to understand, debug and maintain code. Several models of communication between the CPU and accelerators have been developed. However what is the right model for a given application must be determined. Given a computing fabric with several CPUs and several accelerators, how to specify the application, how to divide and execute the application to achieve efficient computing is still an open challenge. This special issue aims at collating new research along all the dimensions of accelerated computing.
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 Data-Centric Big Services
As an overwhelming amount of data is being generated at a fast rate daily from all sources (e.g., intelligent terminals, Internet-of-Things sensors, cloud services, and social network services), it has become imperative to rapidly innovate the services computing technologies for provisioning data-centric scalable and composable services. These services must be efficient and effective in acquiring, storing, curating, transforming, analyzing, exploiting, and managing the vast amount of diverse data. Timely actionable insights on the Big Data can bring unprecedented value and new opportunities that are critical to a successful business and/or a prosperous society. The Big Services should be provisioned in a way that speeds up data processing, scales up with data volume, improves the adaptability and extensibility over data diversity and uncertainties, and turns low-level data into actionable knowledge towards better understanding and manipulation of the Big Data. A Big Service is a managed integration of a massive, complicated series of services centered on Big Data. It could comprise of complicated business and IT services across multiple network, application, and administrative domains via API-defined services and micro-services. A Big Service can be a correlative and complicated business in the networked virtual and real worlds.
Special Issue on Special Issue on Mobile and Cloud Services for Digital Health
We have entered the Digital Health era. In recent years we witnessed sharp increase of activities in research, design, development, real-world deployment and evaluation of Smart Environments, Assistive Technologies, Medical Robotics and Health Telematics systems. Stakeholders from academic, clinical, and industrial perspectives have been working with end users, family caregivers, and providers to explore how to properly utilize digital technologies to foster independent living and improve quality of life. This special issue solicits papers that address significant and new research and development advances in mobile and cloud services to sustain the human endeavor in digital health. Ethical, governmental policy and professional practice issues related to mobile and cloud-based digital health technologies are equally important to this special issue, and submissions in these areas are also encouraged.
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.
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.