Scope
The ICCASA 2020 conference (co-located with ICTCC 2020 conference) sponsored by EAI, Thai Nguyen University of Technology (TNUT), is a place for highly original ideas about how CAS is going to shape networked computing systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions which break new ground in dealing with the properties of context-awareness. Its purpose is to make a formal basis more accessible to researchers, scientists, professionals and students as well as developers and practitioners in ICT by providing them with state-of-the-art research results, applications, opportunities and future trends.
One of the hot topics in ICT is currently undergoing rapid advancements and emerging on the spot as one of the priority research areas, whose research activities are booming recently: context-aware systems (CAS), which is primarily inspired by the human autonomic nervous system. CAS is characterized by its self-* facets such as self-organization, self-configuration, self-healing, self-optimization, self-protection and so on whose context awareness used to dynamically control computing and networking functions.
The overall goal of CAS is to realize nature-inspired autonomic systems, that can manage themselves without direct human interventions. Meeting this grand challenge of CAS requires a rigorous interdisciplinary approach to context-aware systems.
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Topics
We seek novel, innovative, and exciting work in areas including but not limited to:
Fundamentals of Context-aware systems
- Context-aware models
- Context-aware control
- Context-aware algorithms
- Context-aware networks
- Context-aware computing
- Context-awareness calculi
- Context-awareness representation
- Context-awareness-based systems
- Logic in context-awareness
- Context-awareness reasoning
- Formal methods of context-awareness
- Context-awareness-based optimization and swarm Intelligence
- Theory, computational models and algorithms in context detection for computing
- Awareness of context in collaboration or crowdsourcing
- Context recognition and artificial intelligence (AI)
- Privacy issues
Context-aware Systems
- Routing, transport, and reliability issues of context-aware systems
- Data dissemination and replication in context-aware systems
- Applications and middleware support, mobile social networking applications
- Mobility models and statistical analysis of mobility traces
- Context and social awareness mechanisms and algorithms
- Co-existence of opportunistic networks with infrastructure mobile wireless networks
- Service composition in autonomic and opportunistic networks
- Cognition-driven information processing and decision making
- Performance modeling, scaling laws, and fundamental limits for autonomic and opportunistic communications
- Game-theoretic insights to the operation of autonomic and opportunistic networks
- Participatory and urban sensing in autonomic and opportunistic networks
- Trust, security, and reputation in context-aware systems
- Autonomic and opportunistic communication testbeds and prototypes, measurement data from real experiments
- Socio-economic models for autonomic and opportunistic communications
- Mobile data measurement and collection platforms for context detection
- Automated systems to model and detect context
Context-aware Technologies
- Context-aware information retrieval
- Context-aware profiling, clustering and collaborative filtering
- Machine learning for context-aware information retrieval and ontology learning
- Context-aware e-learning/tutoring
- Ubiquitous and context-aware computing
- Use of context-aware technologies in UI/HCI
- Context-aware advertising
- Recommendations for mobile users
- Context-awareness in portable devices
- Context-aware services
- Social Agents and Avatars
- Emotion and Personality
- Virtual Humans
- Autonomous Actors
- Awareness-based Animation
- Social and Conversational Agents
- Inter-Agent Communication
- Social Behavior
- Crowd Simulation
- Understanding Human Activity
- Memory and Long-term Interaction
- Context representations and signal characteristics that describe and identify context
- Context detection algorithms/approaches using data collected with mobile devices, wearable devices and pervasive sensors (e.g. RF sensors)
- User studies and evaluation techniques for context detection
- The novel use of context information in computing applications
- Applications of context information for the work-life balance, for a healthier life and behavior
- Integration of context into lifelogging applications.
Publication
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, EI Engineering Index (Compendex and Inspec databases), DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.
Authors of selected best accepted and presented papers will be invited to submit an extended version to
All accepted authors are eligible to submit an extended version in a fast track of:
Community Review
Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process.
Abstracts of all authors who opt in to Community Review during submission will be published and available for Bidding here.
Learn more about the Community Review process
Paper submission
Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).
Important dates
Camera-ready and Video submission deadline extended!
Full Paper Submission deadline
26 July 2020 15 August 2020
Notification deadline
30 August 2020
Camera-ready deadline
27 September 2020 16 October 2020
Video submission deadline
8 October 2020 16 October 2020
Start of conference
26 November 2020
End of conference
27 November 2020