Scope

This track is a forum that brings together researchers and practitioners from academia and industry worldwide to advance the theories, technologies, and applications of parallel and distributed systems. Original contributions to the theory, design, analysis, implementation, application in the field, or a survey of state of the art in contributions are solicited. All submissions will be reviewed on the basis of relevance, originality, importance, and clarity. Technical topics of interest include but are not limited to the following:

Topics
Focus Area 1: Fog/Edge/Cloud Computing
– Cloud Computing System & Architectures
– Edge/Fog Computing System & Architectures
– Storage and Data Architectures
– Hybrid-clouds and Multi-clouds Integration
– Distributed and Parallel Query Processing
– Resource, Energy and Data Management
– Cloud Metering and Monitoring
– Containers and Serverless Computing
– Cloud Service Adaptation and Automation
– Cloud Federation and Service Composition
– Fog/edge resources scheduling, allocation and management
Fog/edge Real-time load prediction
– Power-Aware and Green Computing

Focus Area 2Internet of Things (IoT)/Cyber-Physical Systems (CPS)
– RFID, sensor data, and services related to the IoT/CPS
– Services for IoT/CPS platforms and applications
– Service-oriented protocols for IoT/CPS applications

Focus Area 3: Blockchain as a distributed system
– Blockchain and smart business transactions
– Blockchain and smart contracts
– Blockchain in the Internet of things (IoT)
– Blockchain in cyber-physical systems
– Blockchain in edge and cloud computing

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Scope  The Security, Privacy and Trust track aims at providing a forum for researchers and engineers in academia and industry to foster an exchange of research results, experiences, and products that involve the cybersecurity aspects in our daily activities. The focus of the track is on advances in

Cybersecurity technologies that involves new attacks and hacker exploits in several domains such as automotive, cyber-physical systems, networking infrastructure, quantum computing, artificial intelligence, deep learning for information security, digital crime and forensics, intrusion detection/prevention and incident response, malware and attack analysis, privacy and data breaches, and governance and information security management. The track aims at presenting the advancement on the state of art in these fields and spreading their adoption in several scenarios involving main stockholders of the Security, Privacy and Trust domain. We solicit submissions of original unpublished scholarly work that is not under consideration by another journal or conference.

Topics

  • Security threats and vulnerabilities
  • Privacy and Security in Cloud and Edge Computing
  • Privacy and Security in Data Center Networks
  • Automated Vehicular Technologies
  • Vehicular Communications and Networks
  • In-Vehicle communication protocols
  • Offensive and Defensive Cybersecurity
  • Identity Management and Key Management Systems
  • Security and Privacy in Quantum Computing
    Exploit design and implementation
  • Network privacy and security
  • Application security
  • Cyber-security solutions for connected and autonomous vehicles
  • Attacks and Countermeasures
  • Authentication
  • Safety and Security Trade-off and Convergences
  • Distributed systems security
  • Embedded systems security
  • Forensics
  • Intrusion detection and Response
  • Malware and virus detection
  • Mobile security and privacy
  • Network security
  • Privacy-preserving systems
  • IoT privacy and security
  • Security and privacy policies
  • Security architectures
  • System security
  • Usable security and privacy
  • Web security and privacy
  • Privacy of vehicular data
  • Standardization and Interoperability
  • National information Security
  • Mobile trusted computing
  • Security policy and management of trusted computing
  • Access control for trusted platforms
  • Privacy aspects of trusted computing
  • Verification of trusted computing architectures
  • End-user interactions with trusted platforms
  • Limitations of trusted computing.

This topic list is not meant to be exhaustive. Security and privacy is interested in all aspects of computer security and privacy.

Papers without a clear application to security or privacy, however, will be considered out of scope and may be rejected without full review.

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Scope

The Data science, Knowledge Engineering, and Ontologies Track welcomes submissions of original, high-quality research related to data analytics, the extraction of information, the analysis, recommendation, and mining of data content. We also encourage submissions that explore how people understand, engage and interact with data content through Information Retrieval, including discovery, recommendations or question answering, and Big Data, Databases and Knowledge Systems. Research on both theoretical and applied aspects of data science and Knowledge Engineering-related tasks is encouraged.

Topics
The topics of interest of the track include, but are not limited to:

– Data science
             – Advanced data analytics
             – Machine learning and data science ( Learning representations and features from data, Machine learning algorithms for large-scale content mining)
             – Data cleaning
             – Data visualization
– Information Search and Retrieval
            – Query and document analysis, representation and understanding
            – Web search models, and ranking
            – Web recommender systems
            – Evaluation methodologies and metrics
– Knowledge engineering, and ontologies
            – Ontologies and semantics
            – Techniques for the creation, curation, publication and consumption of Knowledge Graphs, including Methods for Developing and Maintaining Shared Vocabularies/Ontologies
           – Data Modeling and Inference
           – Explanations and User-friendly Interaction
           – Exploitation of Semantic Data for Machine Learning Tasks

Examples of application areas :
• Healthcare
• Social sciences
• Recommender platforms
• Logistics
• Transportation
• Urban planning
• Resource management (energy, water, air quality, waste management

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Artificial Intelligence research has produced impressive results in the last few years. Both academia and industry are actively working to advance in the long goal of creating sophisticated machines that can perform tasks usually better executed by humans. The methods to produce intelligent systems have emerged from several subareas, including search methods, intelligent agents, machine learning, knowledge representation, and reasoning, among others. Successful applications include computer vision, social media, medicine, finances, linguistics, robotics, cloud, and edge computing, the Internet of Things (IoT), etc. We hope that this edition of the track Advances in AI can be a forum where researchers from academia and industry may exchange experience, new techniques, and theoretical advances to contribute to the realization of Artificial Intelligence.

Topics

The Track welcomes submissions related to the practical, applied, and theoretical issues related to developing and deploying Artificial Intelligent Systems. Authors are solicited to submit significant, original, complete, and unpublished papers in the following, but not limited to:
– Machine Learning (Deep Learning, Reinforcement Learning, Statistical Learning, etc.)
– Cognitive Systems / Bio-inspired AI
– Knowledge Representation and Reasoning
– Problem Solving/Search/Planning
– Multi-agent Systems
– Constraint Satisfaction
– Robotics and Perception
– Economic Paradigms and Game Theory
– Human-Robot Interactions
– Self-Systems (self-configuring, self-healing, self-optimizing, etc.)
– AI and Cloud Computing
– AI and 5G/6G
– AI and Edge Computing
– AI and Social/Crowd Computing
– Data Mining/Social Network Analysis and Mining
– AI Applications in security, sustainability, healthcare, smart cities, medicine, games, logistics, and manufacturing, among others.

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Research about linguistics has a direct impact on modern computing, system interfacing, and cognitive science. As very related to hidden human thinking complexity, natural language processing progress is requiring more advanced machine learning algorithms and a variety of improved engineering tools. With the increasing number of applications and the size of exchanged texts, algorithms for natural language processing should become more efficient. Natural language is more and more used as a communication language with computers, therefore natural language processing is becoming central for future human/computer interfaces. Database search results and real-time face-to-face or online meetings might be summarized in a textual form, at an acceptable time.
Authors for NLP/Natural Language Processing and Applications track should submit original research papers including but not limited to the following topics:

Topics

• Natural language processing
• Natural language applications
• Dialog and interactive systems
• Restructuring and browsing in big documents
• Automatic big text summary generation
• Extracting information from texts
• Discourse and pragmatics
• Machine Translation, Phonology
• Morphology and word segmentation
• Question Answering
• Applications, Semantics
• Sentiment Analysis, Speech
• Tagging, chunking, syntax, and parsing
• Linguistics applications
• Link between cognitive science and natural language

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With the constant evolution in network technology and acquisition systems, digital images are all around us. The track focuses on recent researches in computer vision, image processing and pattern recognition. It offers discussions of recent advances in multimedia information security, data mining and deep artificial intelligence, 2D/3D imaging and displays, graphic design, 3D animation, and many applications that can benefit from advanced image processing technologies. The track aims to bring together researchers from academia and industry, to identify and discuss technical challenges, exchange novel ideas, explore enabling technologies, and report latest research efforts in this field.

The track welcomes submissions related to the practical and theoretical issues related to developing and deploying such systems. The main topics include but are not limited to :

Topics

• Intelligent Image / Video Analytics
• Digital Image and Video Processing
• Image Rendering and Quality
• Imaging Sensors and Acquisition Systems
• Content Based Image/Video Retrieval
• Vision for Graphics
• Human Behavior Understanding
• Deep Artificial Intelligence
• Motion and Tracking Algorithms and Applications
• Watermarking Methods and Protection
• Image Data Structures and Databases
• Colour Reproduction
• Image Compression, Coding, and Encryption
• Statistical and Structural Pattern Recognition
• Performance Analysis and Evaluation
• Novel Image Processing Applications
• Machine Learning Technologies for Vision
• Bioinformatics
• Virtual Reality and Simulations
• Augmented Reality Image Processing
• Computational and Architectural Aspects of Human Vision
• Innovative Multimedia Systems or Devices
• Internet / Mobile Multimedia Sharing
• Intelligent e-Health based on Multimedia Analysis
• Games
• Optimization Methods
• Vision and Languages

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