6th International Conference on Complexity, Future Information Systems and Risk COMPLEXIS

April 24 - 25, 2021 Online Streaming

In Cooperation with: CCSIPN
Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Conference Proceedings Citation Index.


Position Papers /Regular Papers
Paper Submission: January 19, 2021
Authors Notification: February 24, 2021
Camera Ready and Registration: March 9, 2021

Workshop Proposal: December 18, 2020 (expired)

Doctoral Consortium
Paper Submission: March 2, 2021
Authors Notification: March 15, 2021
Camera Ready and Registration: March 23, 2021

Special Sessions
Special Session Proposal: December 18, 2020 (expired)

Tutorial Proposal: March 15, 2021

Demo Proposal: March 15, 2021

Panel Proposal: March 15, 2021

Abstracts Track
Paper Submission: March 2, 2021
Authors Notification: March 15, 2021
Camera Ready and Registration: March 23, 2021

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 2021 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 2021 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 Topics:
Area 1: Complexity in Informatics and Networking
- Chaos Theory and Applications
- Complex Networks
- Complexity Theory
- Connected Vehicles
- Internet and the Semantic Web
- Simulation and Modeling
- Usability of Complex Information Systems
- Community Structure in Networks
- Deep Learning
- Self-Organizing Systems and Intelligent Systems

Area 2: Complexity in Biology and Biomedical Engineering
- Artificial Life and Computational Biology
- Bioinformatics
- Biological and Biomedical Data Mining
- Biomedical Imaging and Data Visualization
- Biomedical Signal Processing
- Complex Biomedical Systems and Signals
- Health Systems Complexity
- Ontology Engineering
- Population Models
- Complex Networks for Epidemics
- Complex Networks in Biological Systems
- Pandemic and COVID-19 Research

Area 3: Complexity in Social Sciences
- Complexity Management
- Cultural Models
- Data-Driven Models
- Economic Complexity
- Gaming
- Information Systems
- Linguistic and Cognitive Systems
- Models of Complex Networks
- Multi-Agent Systems
- Security, Privacy and Trust
- Social Networks
- Visualization

Area 4: Complexity in Risk and Predictive Modeling
- Big Data Predictive Modeling
- High Performance Computing for Risk
- Innovative Methods
- Risk Analysis and Management
- Behavioral Finance and Analysis
- Time Series Prediction
- Mathematical Models
- Risk Assessment
- Error Detection, Reduction and Correction for Risk
- Risk Minimization, Analytics and Deep Machine Learning
- Disaster Management, Uncertainties and Modeling of Extreme Conditions
- Monte Carlo, Black Scholes, Bayesian, ARIMA, Heston and Stochastic Techniques or Analysis

Area 5: Complexity in AI/Edge/Fog/High-Performance Computing
- System Specification and Modeling
- Formal Methods and System Verification
- Processor, Memory, Storage, Interconnect Designs
- AI-based Computing, AI-based Analysis
- QoS Management and Performance Analysis
- New and Emerging Design Technologies
- System Design, High-Level Synthesis and Optimization
- AI/Edge/Fog/HPC Computing Fundamentals and Services
- AI/Edge/Fog/HPC Computing Application and Platforms
- AI/Edge/Fog/HPC Computing Security and Privacy
- AI/Edge/Fog/HPC Computing New Directions and Case Studies
- AI/Edge/Fog/HPC Computing Challenges and Recommendations
- AI and Machine Learning for High-Tech and Future Development

- Power Modeling, Design, Efficiency and Reconfigurable Computing
- Complex Engineering Problems, Simulations and Solutions
- Application Areas, Engineering, Automotive, Avionics, Energy, Health Care, Mobile Devices, Multimedia and Autonomous Systems

Ling Liu, Georgia Institute of Technology, United States
Witold Pedrycz, University of Alberta, Canada

Victor Chang, Teesside University, United Kingdom

Reinhold Behringer, Knorr Bremse GmbH, Germany