• Theoretical Computer Science
• Artificial Intelligence
• Pattern recognition
• Computer Graphics
• Virtual Reality
• Distributed & Cloud Computing
• Signal Processing
• Software Architecture
• 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
• Adaptive and dynamic shrinking
• Pattern summarization
• Graph embeddings
• Graph mining methods
• Fuzzy approaches to parameter estimation
• Genetic optimization
• Bayesian estimation approaches
• Boosting approaches to Transfer learning
• Recurrent Neural Networks |
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• 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
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• 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
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• 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
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