Venue:
Porto, Portugal

Event date:
24 - 26 April, 2017

Regular Papers
Paper Submission: November 21, 2016
Authors Notification: January 23, 2017
Camera Ready and Registration: February 6, 2017

Position Papers
Paper Submission: January 10, 2017
Authors Notification: February 13, 2017
Camera Ready and Registration: February 24, 2017

Workshops
Workshop Proposal: January 3, 2017

Doctoral Consortium
Paper Submission: February 17, 2017
Authors Notification: March 3, 2017
Camera Ready and Registration: March 15, 2017

Special Sessions
Special Session Proposal: January 19, 2017

Tutorials, Demos and Panels Proposals: February 22, 2017

Open Communications
Paper Submission: February 17, 2017
Authors Notification: March 3, 2017
Camera Ready and Registration: March 15, 2017


Scope:
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 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.


CONFERENCE AREAS:
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING
2. COMPLEXITY IN BIOLOGY AND BIOMEDICAL ENGINEERING
3. COMPLEXITY IN COMPUTATIONAL INTELLIGENCE AND FUTURE INFORMATION SYSTEMS
4. COMPLEXITY IN SOCIAL SCIENCES
5. COMPLEXITY IN EDA, EMBEDDED SYSTEMS, AND COMPUTER ARCHITECTURE
6. NETWORK COMPLEXITY
7. COMPLEXITY IN RISK AND PREDICTIVE MODELING

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 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 4: 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 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 Pediction
- 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


KEYNOTE SPEAKERS
COMPLEXIS 2017 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.

CONFERENCE CHAIR
Victor Chang, IBSS, Xi'an Jiaotong Liverpool University, China

PROGRAM CO-CHAIRS
Oleg Gusikhin, Ford Motor Company, United States
Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain
Farshad Firouzi, KU Leuven, Germany
Dan Mønster, Aarhus University, Denmark

DOCTORAL CONSORTIUM CHAIR
José FF Mendes, University of Aveiro, Portugal

PROGRAM COMMITTEE
http://www.complexis.org/ProgramCommittee.aspx

COMPLEXIS Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
2910-595 Setúbal - Portugal
Tel: +351 265 520 184
Fax: +351 265 520 186
e-mail: complexis.secretariat@insticc.org
Web: http://www.complexis.org/