Call For Papers

We invite you to submit your current work in the following topics of interest, but not limited to:

Statistics

  • Advances in applied statistics
  • Applied data mining and statistical learning
  • Statistical analysis of genomics data
  • Applied time series analysis
  • Epidemiology research methods
  • Analysis of discrete data
  • Statistical analysis system programming
  • Biostatistics and bioinformatics
  • Categorical Data Analysis
  • Data mining
  • Design of experiments
  • Econometrics
  • Elicitation
  • Financial mathematics
  • Geostatistics
  • Sampling techniques
  • Sensitivity Analysis
  • Smoothing and statistical graphics
  • Social science methodology
  • Statistical genetics
  • Statistics and mathematics education
  • Statistics for engineering
  • Statistics for environments
  • Statistics in fisheries and ecology

Mathematics

  • Algebra, Number theory, and Analysis
  • Algorithms for Scientific Computing
  • Applied Computing and Information Systems
  • Applied Modeling and Simulation
  • Approximation methods
  • Automated reasoning
  • Coding theory
  • Combinatorics
  • Communications, Signals and Coding
  • Computational complexity
  • Computational geometry
  • Computational Mathematics
  • Computational number theory
  • Computer and network security
  • Computer Modeling and Simulation
  • Concurrency and type theory
  • Cryptography
  • Differential equations with applications to biological models
  • Discrete Mathematics
  • Embedded Systems and Ubiquitous Computing
  • Finite Element Analysis & Optimization
  • Finite Mathematics
  • Fractals
  • Game theory
  • Geometry and graphs
  • Graph theory and algorithms
  • Grid Computing
  • Logic in computer science and mathematical sciences
  • Mathematical Biology
  • Mathematical logic
  • Network theory and algorithms
  • Networking, Networks and distributed computing
  • Non-linear dynamics
  • Number Theory
  • Numerical Analysis
  • Numerical Methods & Software for Partial Differential Equations
  • Ordinary and Partial Differential Equations
  • Parallel and distributed computing systems
  • Quantum Information and Mathematical Modeling
  • Randomized and approximation algorithms
  • Scheduling methods
  • Timed and hybrid System
  • Topology

 

Actuarial Science

  • Asset and liability management
  • Catastrophe modeling
  • Climate change
  • Cyber risk
  • Decentralized insurance and financial technology
  • Financial modeling
  • General insurance
  • Health insurance
  • Insurance economics
  • Insurance products linked to equity
  • Insurance risk models
  • Life and non-life insurance
  • Longevity risk
  • Loss reserve methods
  • Mortality modeling
  • Optimal control in insurance and finance
  • Pension and pension mathematics
  • Predictive insurance analytics
  • Reinsurance and other risk-sharing arrangements
  • Retirement planning
  • Risk measures
  • Ruin theory and related topics
  • Social insurance
  • Telematics
  • Valuation of emerging risks

 

Data Science

  • Information retrieval
  • Large-scale data mining
  • Statistics for intelligent data analysis
  • Visual data mining
  • Big Data Fundamentals and Applications Internet of Things (IoT)
  • Big Data Management and Frameworks
  • Big Data Search
  • Big Data security
  • Consistent Data Model
  • Data and Knowledge Representation
  • Data Streams Mining, Graph Database & Mining, Spatial Data Mining
  • Databases & Financial Modelling
  • Exploring Data Analysis
  • Forecasting, Classification, Clustering
  • Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge
  • Infrastructures for Big Data
  • Integrating Constraints and Knowledge in the KDD Process
  • Integration of Data Warehousing
  • Interactive Data Exploration / Visualization and Discovery
  • Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
  • Languages and Interfaces for Data Mining
  • Learning in knowledge-intensive systems
  • Learning Problems
  • Machine Learning Applications
  • Mining from Low-Quality Information Sources
  • Mining Trends, Opportunities and Risks
  • OLAP and Data Mining
  • Operations Research
  • Parallel and Distributed Data Mining Algorithms
  • Pre-Processing Techniques, Visualization
  • Security and Information Hiding in Data Mining
  • Social Networks, Educational Data Mining
  • Statistical Techniques for Generation a Robust
  • Text video, Multimedia Data Mining, Web Mining