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COMPLEXIS 2018 - 3rd International Conference on Complexity, Future Informa...

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Hotel Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

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COMPLEXIS 2018 will be held in conjunction with IoTBDS 2018 and CLOSER 2018.
Registration to COMPLEXIS allows free access to the IoTBDS and CLOSER conferences (as a non-speaker).

UPCOMING DEADLINES
Regular Paper Submission: October 16, 2017
Regular Paper Authors Notification: December 15, 2017
Regular Paper Camera Ready and Registration: January 4, 2018
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 2018 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
1 . Complexity in Informatics, Automation and Networking
2 . Complexity in Biology and Biomedical Engineering
3 . Complexity in Social Sciences
4 . Complexity in Computational Intelligence and Future Information Systems
5 . Complexity in EDA, Embedded Systems, and Computer Architecture
6 . Network Complexity
7 . Complexity in Risk and Predictive Modeling

CONFERENCE CHAIR
Victor Chang, Xi'an Jiaotong-Liverpool University, China
PROGRAM CO-CHAIRS
Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain
Muthu Ramachandran, Leeds Beckett University, United Kingdom
PUBLICITY CHAIR
Anna Kobusinska, Poznan University of Technology, Poland
KEYNOTE SPEAKER
Ernesto Estrada, University of Strathclyde, United Kingdom

WORKSHOPS
Big Data Analytics and IoT for Smarter Healthcare - IoTforeHealth (IoTBDS)
Chairs: Farshad Firouzi, Bahar Farahani and Victor Chang
Submission: January 11, 2018

DOCTORAL CONSORTIUM
OPEN COMMUNICATIONS
Submission: January 15, 2018

SCOPE

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 2018 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 2018 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.
Special sessions, dedicated to case-studies and focused presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.

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 SOCIAL SCIENCES
4. COMPLEXITY IN COMPUTATIONAL INTELLIGENCE AND FUTURE INFORMATION SYSTEMS
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 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
KEYNOTE SPEAKER

Ernesto Estrada, University of Strathclyde, United Kingdom
PAPER SUBMISSION

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail. SCOPE

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 2018 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 2018 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.
Special sessions, dedicated to case-studies and focused presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.

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 SOCIAL SCIENCES
4. COMPLEXITY IN COMPUTATIONAL INTELLIGENCE AND FUTURE INFORMATION SYSTEMS
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 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

KEYNOTE SPEAKER

Ernesto Estrada, University of Strathclyde, United Kingdom
PAPER SUBMISSION

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.


Keynote Lecture


Communicability in Networked Systems. Implications for Stability, Spatial Efficiency and Dynamical Process

Ernesto Estrada
University of Strathclyde
United Kingdom

Brief Bio

Professor Estrada has an internationally leading reputation for shaping and developing the study of complex networks. His expertise ranges in the areas of network structure, algebraic network theory, dynamical systems on networks and the study of random models of networks. He has a distinguished track record of high-quality publications, which has attracted more than 8,000 citations. His h-index (number of papers with at least h citations) is 51. His publications are in the areas of network theory and its applications to social, ecological, engineering, physical, chemical and biological real-world problems. Professor Estrada has published two text books on network sciences both published by Oxford University Press in 2011 and 2015, respectively. He has demonstrated a continuous international leadership in his field where he has been invited and plenary speaker at the major conferences in network sciences and applied mathematics.

Abstract
This keynote lecture will motivate and introduce the concept of network communicability. It will give a few examples of applications of this concept to biological, social, infrastructural and engineering networked systems. Building on this concept we will show how a Euclidean geometry emerges naturally from the communicability patterns in networked complex systems. This communicability geometry characterises the spatial efficiency of networks. We will show how the communicability function allows a natural characterization of network stability and their robustness to external perturbations of the system. Finally, we will show that theoretical parameters derived from the communicability function determine the robustness of dynamical processes taking place on the networks, such as diffusion and synchronization. All the lecture will be characterized by a combination of rigorous results and illustrative examples from the real-world.


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Date and Time

Location

Hotel Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

View Map

Refund Policy

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