COMPLEXIS 2017 - CALL FOR PAPERS
CFP COMPLEXIS 2017 - Int'l Conf. on Complexity, Future Information Systems and Risk (Porto/Portugal) CALL FOR PAPERS
2nd International Conference on Complexity, Future Information Systems and Risk COMPLEXIS website: http://www.complexis.org/
April 24 - 26, 2017 Porto, Portugal
Sponsored by: INSTICC INSTICC is Member of: OMG, FIPA, WfMC and IFSR Technically Co-sponsored by: WFSC Logistics Partner: SCITEVENTS
Regular Paper Submission: December 15, 2016 (deadline extended)
Authors Notification (regular papers): February 14, 2017
Final Regular Paper Submission and Registration: February 23, 2017
The 2nd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2017 - http://www.complexis.org/) steering committee cordially invites you to submit a paper to the COMPLEXIS 2017 Conference, to be held in Porto, Portugal. The deadline for paper submission has been extended to December 15, 2016 due to numerous requests.
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.
Submitted papers will be subject to a double-blind review process. All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support.
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). SCITEPRESS is a member of CrossRef (http://www.crossref.org/).
Best paper awards will be distributed during the conference closing session. Please check the website for further information (http://www.complexis.org/BestPaperAward.aspx).
Workshops, Special sessions, Tutorials as well as Demonstrations dedicated to other technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat. Workshop chairs and Special Session chairs will benefit from logistics support and other types of support, including secretariat and financial support, to facilitate the development of a valid idea.
COMPLEXIS 2017 will be held in conjunction with IoTBDS (2nd International Conference on Internet of Things, Big Data and Security - http://iotbds.org), CLOSER (7th International Conference on Cloud Computing and Services Science - http://closer.scitevents.org), SMARTGREENS (6th International Conference on Smart Cities and Green ICT Systems - http://www.smartgreens.org) and VEHITS (3rd International Conference on Vehicle Technology and Intelligent Transport Systems - http://www.vehits.org) in Porto, Portugal. Registration to COMPLEXIS will enable free attendance to any sessions of IoTBDS, CLOSER, SMARTGREENS and VEHITS conferences as a non-speaker.
We hope to welcome you in Porto, Portugal next April, 2017! Should you have any question please don't hesitate contacting me.
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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
PROGRAM COMMITTEE: Please check the program committee members at http://www.complexis.org/ProgramCommittee.aspx
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