Call For Papers

Machine Learning and Computational Intelligence

• Theoretical Computer Science

• Artificial Intelligence and Deep Learning

• Pattern recognition

• Computer Graphics

• Virtual Reality

• Distributed & Cloud Computing

• Signal Processing

• Soft Computing

• Grid and Cluster Computing

• Evolutionary Algorithms

• Ubiquitous Computing

• Parallel and Distributed Networks

• Perceptual Computing, and related topics

• Learning using Ensemble and boosting strategies

• Active Machine Learning

• Manifold Learning

• Fuzzy Learning

• Kernel Based Learning

• Genetic Learning

• Hybrid models

• Bioinformatics and biomedical informatics

• Healthcare and clinical decision support

• Collaborative filtering

• Information retrieval

• Natural language processing

• Web search

• Inference dependencies on multi-layered networks

• Recurrent Neural Networks and its applications

• Graph wavelets

• Spectral graph theory

• Self-organizing networks

• Multi-scale learning

• Unsupervised feature learning

• Clustering, Classification and regression methods

• Supervised, semi-supervised and unsupervised learning

• Reinforcement Learning

• Optimization methods

• Parallel and distributed learning

• Graph embeddings

• Genetic optimization

• Bayesian estimation approaches

• and related areas........

Image Processing and Computer Vision

• Filtering, Transforms, Multi-Resolution Processing

• Restoration, Enhancement, Super-Resolution

• Computer Vision Algorithms and Technologies

• Compression, Transmission, Storage, Retrieval

• Multi-View, Stereoscopic, and 3D Processing

• Multi-Temporal and Spatio-Temporal Processing

• Biometrics, Forensics, and Content Protection

• Biological and Perceptual-based Processing

• Medical Image and Video Analysis

• Document and Synthetic Visual Processing

• Color and Multispectral Processing

• Computational Imaging

• Video Processing and Analytics

• Visual Quality Assessment

• Deep learning for Images and Video

• Human activity recognition

• Software Tools for Imaging

• Image Generation, Acquisition, and Processing

• Image-based Modeling and Algorithms

• Mathematical Morphology

• Image Geometry and Multi-view Geometry

• 3D Imaging

• Novel Noise Reduction Algorithms

• Motion and Tracking Algorithms and Applications

• Watermarking Methods and Protection

• Wavelet Methods

• Image Data Structures and Databases

• Image Compression, Coding, and Encryption

• Multi-resolution Imaging Techniques

• Multimedia Systems and Applications

• Novel Image Processing Applications

• Camera Networks and Vision

• Machine Learning Technologies for Vision

• Cognitive and Biologically Inspired Vision

• Active and Robot Vision

• Fuzzy and Neural Techniques in Vision

• Novel Document Image Understanding Techniques

• Novel Vision Application and Case Studies

• and related areas........

Network and Cyber Security

• Network Performance Analysis,

• Human factors in security and privacy

• Security and privacy in ad hoc networks

• Machine learning for Biometric security and privacy

• Machine learning for Security and privacy of Web service

• Security and privacy in e-services

• Security and privacy in grid computing

• Security and privacy in mobile systems

• Security and privacy in wireless sensor networks

• Cyber risk and vulnerability assessment

• Cyber-crime and warfare

• Cyber threat analysis and modelling

• Machine learning for Bluetooth, WiFi, WiMax security

• Security and privacy in smart grid and distributed generation systems

• Security and privacy in social applications and networks

• Cyber forensic tools, techniques, and analysis

• Visual analytics for cyber security

• Security and privacy of mobile cloud computing

• Cyber security testbeds, tools, and methodologies

• Active and passive cyber defense techniques

• Insider threat detection and prevention

• Critical infrastructure protection

• Security and privacy in industrial systems

• Security and privacy in pervasive/ubiquitous computing

• Intrusion detection and prevention

• Botnet detection and mitigation

• and related areas........

Data Sciences and Big Data

• Big data management,

• Platforms and technologies for big data,

• Data retrieval,

• Big data storage techniques,

• Data mining and warehouse,

• Data visualization,

• Modelling structure and storage of big data,

• Scalability and portability issues of big data,

• Big data recommender systems,

• Digital Forensics,

• Parallel processing of big data,

• Distributed access of big data,

• Applications of big data and related topics,

• Web mining,

• Social Network Analysis,

• Text Mining,

• Sentiment Analysis.

• Algorithms

• Novel Theoretical Models

• Novel Computational Models

• Data and Information Quality

• Data Integration and Fusion

• Cloud/Grid/Stream Computing

• High Performance/Parallel Computing

• Energy-efficient Computing

• Software Systems

• Search and Mining

• Data Acquisition, Integration, Cleaning

• Data Visualizations

• Semantic-based Data Mining

• Data Wrangling, Data Cleaning, Data Curation, Data Munching

• Data Analysis, , Statistical Insights

• Decision making from insights, Hidden patterns

• Data Science technologies, tools, frameworks, platforms and APIs

• Link and Graph Mining

• Efficiency, scalability, security, privacy and complexity issues in Data Science

• Labelling, Collecting, Surveying, Interviewing and other tools for Data Collection

• Applications in Mobility, Multimedia, Science, Technology, Engineering, Medicine, Healthcare, Finance, Business, Law, Transportation, Retailing, Telecommunication

• and related areas........