COMPLEXIS – the International Conference on Complex Information Systems, aims at becoming a yearly meeting place for presenting and discussing innovative views on all aspects of Complex Information Systems, in different areas such as Informatics, Telecommunications, Computational Intelligence, Biology, Biomedical Engineering and Social Sciences. Information is pervasive in many areas of human activity – perhaps all – and complexity is a characteristic of current Exabyte-sized, highly connected and hyper dimensional, information systems. COMPLEXIS 2016 is expected to provide an overview of the state of the art as well as upcoming trends, and to promote discussion about the potential of new methodologies, technologies and application areas of complex information systems, in the academic and corporate world.
COMPLEXIS 2016 seeks papers reporting research work, applications or case-studies, on topics indicated below in the section “Conference Areas”. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Both technological and social-oriented papers are accepted. All papers must describe original work, not previously published or submitted to another conference. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of COMPLEXIS under an ISBN, and will be indexed by major indexes. Acceptance will be based on quality, relevance and originality. Both full research reports (regular papers) and work-in-progress reports (position papers) are welcome. There will be both oral and poster sessions.
AREA 1: COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING
Chaos Theory and Applications
Quantum Computing
Information and Entropy
Simulation and Modeling
Automation, Control and Robotics
Connected Vehicles
Complex Networks
Internet and the Semantic Web
Big Data Analytics
Usability of Complex Information Systems
Power Distribution, Energy and Control
AREA 2: COMPLEXITY IN BIOLOGY AND BIOMEDICAL ENGINEERING
Bioinformatics
Computational Biology
Biological and Biomedical Data Mining
Ontology Engineering
Biomedical Signal Processing
Biomedical Imaging and Data Visualization
Health Systems Complexity
Artificial Life
Population Models
AREA 3: COMPLEXITY IN COMPUTATIONAL INTELLIGENCE
Evolutionary Computing
Neuro-fuzzy Systems
Self-Organizing Systems
Deep Learning
Non-Linear Dynamics
Decision Making under Uncertainty
Knowledge-Based Systems
Intelligent multi-agent systems
Climate Change and Natural Science Simulations
AREA 4: COMPLEXITY IN SOCIAL SCIENCES
Linguistic and Cognitive Systems
Complexity Management
Data-Driven Models
Visualization
Cultural Models
Multi-Agent Systems
Economic Complexity
Information Systems
Security, Privacy and Trust
Gaming
04月22日
2017
04月24日
2017
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