第2届复杂未来信息系统和风险国际会议 2nd International Conference on on Complexity, Future Information Systems and Risk

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活动简介

COMPLEXIS – the International Conference on Complexity, Future Information Systems and Risk, 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 2017 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 2017 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.

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征稿范围

AREA 1: COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING

Complexity Theory
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

Complex Biomedical Systems and Signals
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 SOCIAL SCIENCES

Social Networks
Linguistic and Cognitive Systems
Complexity Management
Data-Driven Models
Visualization
Cultural Models
Multi-Agent Systems
Economic Complexity
Information Systems
Security, Privacy and Trust
Gaming
Models of Complex Networks

AREA 4: COMPLEXITY IN COMPUTATIONAL INTELLIGENCE AND FUTURE INFORMATION SYSTEMS

Complex Adaptive Systems
Evolutionary computing, neural computing, probabilistic computing
Neuro-fuzzy Systems, Fuzzy Computing, Logic and Analysis
Self-Organizing Systems, Expert and Intelligent Systems
Deep Learning
Non-Linear Dynamics
Decision Making under Uncertainty
Knowledge-Based Systems
Intelligent Multi-agent Systems and Intelligent Agents
Climate Change and Natural Science Simulations
Decision Support Systems Services, Tools and Applications
Decision Support Systems Algorithms, Workflows, Processes and Future Advancement
Expert and Intelligent Services, Applications, Proofs-of-concept and Best Practices
Engineering Design Optimization, Multi-objective Optimization, Process Optimization
Human-Machine interfaces, robotics and image processing
Intelligent Information Retrieval, Fusion and Algorithms
Advanced Reasoning, Monitoring and Diagnosis for Systems, Faults and Scientific Discovery
Data/image, Feature, Decision and Multilevel Fusion
Fusion theory, Processing, Simulations and Integration
Multi-sensor, Multi-fusion System and Application Fusion
Information Fusion Applications in Information/Network Security, Engineering, Health and Finance
Fusion System Design, Algorithm, Computational Resources and Demand Optimization
Information Theory and Applications for Multi-Disciplines
Information Sciences for Implementations, Techniques, Simulations and Proofs-of-concept

AREA 5: COMPLEXITY IN EDA, EMBEDDED SYSTEMS, AND COMPUTER ARCHITECTURE

System Specification and Modeling
System Design, High-Level Synthesis and Optimization
System Simulation and Validation
Formal Methods and System Verification
Design and Test for Analog and Mixed-Signal Systems and Circuits
Power Modeling, Optimization and Low-Power Design
Temperature and Variability Aware Design and Optimization
Embedded System Design Methodologies
Reconfigurable Computing
Domain and Application-specific Design
Logical and Physical Analysis and Design
Architectural and Microarchitectural Design
System-on-chip Design and HW/SW Codesign
Processor, Memory, Storage, Interconnect Designs
Architectures for Instruction-level, Thread-level and Memory-level Parallelism
Large-scale System Architecture
Compilers and Embedded Systems Software
Performance Evaluation and Measurement of Real Systems
Operating Systems and Middleware
QoS Management and Performance Analysis
New and Emerging Design Technologies
Application areas, e.g. , automotive, avionics, energy, health care, mobile devices, multimedia and autonomous systems

AREA 6: NETWORK COMPLEXITY

Community Structure in Networks
Complex Networks and Epidemics
Complex Networks and Mobility
Complex Networks in Biological Systems
Complex Networks in Statistical Mechanics
Complex Networks in Technology

AREA 7: COMPLEXITY IN RISK AND PREDICTIVE MODELING

Time Series Prediction
Big Data Predictive Modeling
Risk Analysis and Management
Risk Minimization, Analytics and Deep Machine Learning
High Performance Computing for Risk
Monte Carlo, Black Scholes, Bayesian, ARIMA, Heston and Stochastic Techniques or Analysis
Error Detection, Reduction and Correction for Risk
Innovative Methods