Category Call for papers

Call for Paper

The authors are invited to submit their original contributions in one of these topics, but not only limited to these topics below

  • Track 1: IR, Big Data, Business Intelligence, & Knowledge Management

The volume of internal information to be managed in different areas has grown dramatically, and more powerful approaches and processes are available to accessing existing sources of data and to construct more intricate and predictive models than ever before. With the era of big data where large amounts of data, the main challenge nowadays is how to manage (e.g., storage, indexing, querying, mining) such large data sets. This track provides a forum for researchers, practitioners, developers, and users to explore and share the latest results, approaches, techniques, concepts, and technologies in Big Data, Business Intelligence, IR knowledge management, and Data Analytics.

  • Track 2: Cloud, Parallel, Distributed and High Performance Computing

This track is a forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud and distributed and high performance computing. Original contributions to the theory, design, analysis, implementation, or application in the field, or a survey of the state of the art contributions are solicited. All submissions will be reviewed on the basis of relevance, originality, importance, and clarity.

  • Track 3: Advances in Software Engineering

Software engineering (SE) aims at the development and maintenance of software that behave reliably and efficiently while meeting the requirements from customers. Research in SE concerns the proposal of concepts, languages and tools that facilitate the work of the software engineer in order to achieve the goals mentioned above.

  • Track 4: Natural Language Processing and Applications

Natural language processing is one of the most challenging research areas. Most of the applications and online systems require more and more natural communication and utilization of multilingual platforms. The trend is indeed to go towards more intelligent systems and environments which make day-to-day activities and interactions as natural and convenient to a human user in his/her own language. The aim of the Natural Language Processing track is to bring together researchers from the academia and the industry to share their latest developments in the area, be this to the theory, design, implementation or applications.

  • Track 5: Advances Networking and Sensor Networks

Rapid advances in ICT coupled to the development of new emergent tiny embedded systems based on electro-mechanical communicating objects with sensing, storage, and computation capacities, require the development of efficient architectures and innovative solutions to overcome new digital society challenges including interaction of heterogeneous systems, big data, energy, mobility and localization, among others. This track is intended to be an excellent forum where both academia and industry experts from different communities (Networking, Distributed Computing, Emergent smart systems, etc) will discuss recent advances in the broad and quickly-evolving fields of communication networks, and to highlight key issues and develop visions for networks of the future comprising sensors, actuators, mobile systems, and communicating objects.

  • Track 6: Systems and Software Security

The Advanced Information Technology, Services and Systems (AIT2S-16) is a forum for computer security research, presenting the latest developments and bringing together researchers and practitioners. Security and privacy affect every application domain, especially at the era of “Big Data”. In fact, Big Data offers the opportunity to open new perspectives for business of companies and organizations through data analytics over petabytes of data including web logs, click stream data, social media etc. However, the more the information is digitized and the more the information is gathered the more the breach of security is open for hackers. Hence, Big Data has rendered older security models largely obsolete. Big Data expands the boundaries of existing information security responsibilities and introduces significant new risks and challenges. In this forum, we solicit previously unpublished papers offering novel research contributions in any aspect of security or privacy related to the topic of Big Data. Papers may present advances in the theory, design, implementation, analysis, verification, or empirical evaluation and measurement of secure systems.

  • Track 7: Social and Mobile Computing

Various social computing applications such as social networking (Facebook, Twitter, LinkedIn, Google+, etc.), blogs, email, instant messaging, wikis, and social bookmarking have been widely popularized by providing digital platforms for social interaction. These applications profoundly changed social behaviors and digital life styles of human. However, various critical issues such as analysis, mining, trust, privacy, social cognition, social intelligence and mobile social computing still provide significant challenges.

  • Track 8: Advances in Web Technologies, Semantics and Future Internet

Semantic Web and Big Data, Semantic Web and conceptual knowledge representation, Web Semantics and Conceptual Modeling, Ontology Engineering, Learning and Ontology Evolution, Semantic Web, Information extraction, automatic, and semi-automatic generation of metadata ,Semantics for ubiquitous and cloud computing.

  • Track 9:  Smart Cities in Smart Regions.

The aim of this track  is to share the latest ideas and innovations as well as to create a joint vision of smart cities and regions and exchange their latest developments and advances on specific aspects related to the smart city and region technological development.

  • Track 10 :  Embeddes and Intelligent Systems.

VLSI architecture, Systems on-chip, Design and implementation of embedded software, Formal modeling and verification, Embedded Parallel Processing, Model- & component-based software design & analysis, Robust implementation of control systems, Scheduling and execution time analysis, Operating systems and middleware, Energy-efficient embedded software, Embedded software security, Application areas, e.g., automotive, avionics, energy, health care, mobile devices, multimedia, RF devices for WIrless health care applications, Energy and Smart-System, Multiprocessor and multicore architectures and algorithms, New technologies & innovation system applications, Specification, verification, and testing: tools, methodologies, Multiprocessor and multicore architectures and algorithms.

  • Track 11 :  Supply Chain Management.   

Key trends in technology, organization design and the wider macroeconomy are changing the way supply chain management works. This session will offer insights into which disruptive technologies matter, how the supply chain professional of the future must develop and what this all means to business strategy. New data from SCM  will be explored to see how the supply chain community is preparing for the next decade. This session include also the Modelling, architecture and simulation of enterprises and enterprise networks.

  • Track 12 : Competency Management: A Component of Knowledge Management.   

Competency management is an old, widely used practice that consists of all of a company’s formal, organized approaches to ensuring that it has the human talents needed to meet its business goals.

The practice defines the skills in which an organization is interested, such as the ability to use a certain application or knowledge of an accounting practice.

Software applications can help organizations to store, search, and analyze competency-related data. Graphical dashboards provide quick views of information across an entire enterprise, and search functions help users identify who has a certain skill. And because the software is an enterprise system installed on a corporate server or provided over the cloud, it facilitates collaboration and knowledge-sharing across departments.

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