Call for Papers

Track 1: Soft computing, Artificial Intelligence and Applications

Soft Computing
Fuzzy Systems
Neural Networks
Machine learning
Probabilistic Reasoning
Evolutionary Computing
Pattern recognition
Hybrid intelligent systems
Software agents
Morphic Computing
Image processing
E-commerce, e-medicine
Rough Sets
Symbolic machine learning
Vision Recognition
Biomedical Engineering
Reactive Distributed AI
Nano & Micro-systems
Data Visualization
Artificial Intelligence
AI Algorithms
Artificial Intelligence tools & Applications
Automatic Control
Natural Language Processing
CAD Design & Testing
Computer Vision and Speech Understanding
Data Mining and Machine Learning Tools
Fuzzy Logic
Heuristic and AI Planning Strategies and Tools
Computational Theories of Learning
Hybrid Intelligent Systems
Information Retrieval
Intelligent System Architectures
Knowledge Representation
Knowledge-based Systems
Multimedia & Cognitive Informatics
Neural Networks
Parallel Processing
Pattern Recognition
Pervasive computing and ambient intelligence
Programming Languages
Reasoning and Evolution
Recent Trends and Developments
Semantic Web Techniques and Technologies
Soft computing theory and applications
Software & Hardware Architectures
Web Intelligence Applications & Search

Track 2: Digital Image & Signal Processing

3-D and Surface Reconstruction
Adaptive Filters
Content-based Image retrieval
Data Mining Techniques
Detection and Estimation of Signal Parameters
Digital Signal Processing
Document analysis
Face recognition
Fast Algorithms
Fast Fourier Transforms
Filter Design
Image acquisition
Image coding and compression
Image processing
Image segmentation
Medical image processing
Mobile Signal Processing
Motion Detection
Multi-channel Filtering
Noise Control
Optical Signal Processing
Pattern recognition and analysis
Radar Image Processing
Signal Identification
Signal Reconstruction
Sonar Image Processing
Spectral Analysis
Statistical Signal Processing
Super-resolution imaging
Video Signal Processing
Wavelet Transforms

Track 3: Computer Science and Engineering

Ad-Hoc Networks
Algorithmic Information Theory
Analysis of Algorithms and Problem Complexity
Arithmetic and Logic Structures
Augmented Reality
Cloud Computing
Compatibility Theory
Computer and Internet Application
Computer Architecture
Computer Graphics
Computer Communications and Networks
Computer Vision and Image Processing
Computer System Implementation
Control Structures and Microprogramming
Cryptography and Security
Data and Knowledge Management
Data Mining
Decision Support Technologies
Digital Forensics
Digital Signal Processing
Distributed Computing and Grid Computing
Embedded Systems
Evolutionary Computing
Formal Semantics
Future Internet and Next Generation Networks
Fuzzy and Neural Network Systems
Genetic Algorithms
High Performance Computing
Human Machine Interface
Information Technology Management
Intelligent Systems
Internet Modeling
IT Safety and Healthcare
Knowledge Discovery
Knowledge Management
Machine Intelligence and Applications
Mobile Applications
Mobile Computing
Mobile Security
Mobile Social Networks
Natural Language Processing
Network Management
Network Protocol and Architecture
Neural Networks
Pervasive and Sensor Networks
Programming Language
Quality of Service, Scalability and Performance
Robotics and Automation
Security and Access Control
Self-Organizing Networks and Networked Systems
Semantic Web and Ontology Simulation and Modeling
Social Network Applications
Speech Recognition
Swarm Intelligent
Theory of Computation
VLSI design
Web Modeling and Design
Web Services Architecture
Wireless Network and Communication
XML-Based Languages

Track 4: Internet of Things, Security and related issues

Methods for secure by design IoT
Methods for IoT security analysis and audit
Privacy and anonymization techniques in IoT
Secure cloud of things
Trust management architectures
Lightweight security solutions
Authentication and access control in IoT
Identification and biometrics in IoT
Liability and policy enforcement in IoT
Virtualization and auto-immunity of smart objects
Security of Big data in IoT
Cyber physical systems security
Cyber attacks detection and prevention
Ethics and legal considerations in IoT

Track 5: Big Data analytics

Scalable Computing for Big Data
Computation, Business, and Health Science
Visions on Big Data
Big Data, Analytics, and High-Performance Computing
Big Data Architecture
Big Data Modeling
Big Data As A Service
Big Data for Vertical Industries (Government, Healthcare, etc.)
Big Data Analytics
Big Data Toolkits
Big Data Open Platforms
Economic Analysis
Big Data for Enterprise Transformation
Big Data in Business Performance Management
Big Data for Business Model Innovations and Analytics
Big Data in Enterprise Management Models and Practices
Big Data in Government Management Models and Practices
Big Data in Smart Planet Solutions.

Track 6: Cyber Technology and Information Security

Surveillance Systems
Cyber Warfare Trends and Approaches
Social engineering
Template Protection and Liveliness detection
New theories and algorithms in biometrics
Formal Methods Application in Security
Operating Systems and Database Security
Enterprise Systems Security
SCADA and Embedded systems security
Distributed and Pervasive Systems Security
Secure Software Development

Track 7: Machine Learning & Data Mining

Applications in medicine
Applications of clustering
Aspects of data mining
Association rules
Audio mining
Automatic semantic annotation of media content
Bayesian models and methods
Case-based reasoning and associative memory
Case-based reasoning and learning
Classification and interpretation of images, text, video
Classification and model estimation
Conceptional learning and clustering
Content-based image retrieval
Decision trees
Deviation and novelty detection
Feature grouping, discretization, selection and transformation
Feature learning
Frequent pattern mining
Goodness measures and evaluaion (e.g. False discovery rates)
High-content analysis of microscopic images in medicine, biotechnology and chemistry
Inductive learning including decision tree and rule induction learning
Knowledge extraction from text, video, signals and images
Learning and adaptive control
Learning for handwriting recognition
Learning in image pre-processing and segmentation
Learning in process automation
Learning of action patterns
Learning of appropriate behaviour
Learning of internal representations and models
Learning of ontologies
Learning of semantic inferencing rules
Learning of visual ontologies
Learning robots
Learning/adaption of recognition and perception
Mining financial or stockmarket data
Mining gene data bases and biological data bases
Mining images and texture
Mining images in computer vision
Mining images, temporal-spatial data, images from remote sensing
Mining motion from sequence
Mining social media
Mining structural representations such as log files, text documents and html documents
Mining text documents
Network analysis and intrusion detection
Neural methods
Nonlinear function learning and neural net based learning
Organisational learning and evolutional learning
Probabilistic information retrieval
Real-time event learning and detection
Retrieval methods
Rule induction and grammars
Sampling methods
Selection bias
Selection with small samples
Similarity measures and learning of similarity
Speech analysis
Statistical and conceptual clustering methods: basics
Statistical and evolutionary learning
Statistical learning and neural net based learning
Subspace methods
Support vector machines
Symbolic learning and neural networks in document processing
Text mining
Time series and sequential pattern mining
Video mining
Visualization and data mining

Track 8: Cognitive Computing & Networking

Dynamic spectrum management
Dynamic spectrum access strategies
Network Architectures for Cognitive Radiosand Cognitive Networking
Higher layer protocols and solutions for cognitive networks
Modeling and performance analysis of spectrum access in very crowded environments
Spectrum sharing techniques
Cross layer frame work for cognitive networks
Cognitive computing for dynamic spectrum access
Next generation cognitive networks
Observations from Testbeds and implementations
Graphical models for cognitive networking
Cognitive Network Protocol stack
Dynamic Spectrum Access Networks
Architecture and platform for Cognitive radio networks
Pricing models in dynamic spectrum access
Spectrum sensing mechanisms and network protocol support
Regulations and policy strategies in developing regions
Standardization activities in cognitive communications
Spectrum measurement methods
Models for Spectrum measurement
Efficient and broadband spectrum sensing approaches
New applications of Dynamic Spectrum Access
Cloud-centric spectrum analysis approaches
Cloud-centric Base Stations and Access Points
Interference metrics, measurements, and performance analysis
Light weight cognitive Access Points
Prototypes for Cognitive Network devices
Opportunistic Pricing, billing, and payment mechanism for dynamic spectrum access
Dynamic Spectrum access etiquettes and coexistence models
Radio resource management in cognitive networks
Market trends for secondary spectrum usage in developed and developing regions
Coordination between Industries and government agencies for quick development of market for DSA equipments
New spectrum measurement, sharing, and opportunistic usage models
Developing and developed regions and their regulatory models for spectrum access
Industry participation, standardization, software regulation, and equipment certification activities
Medium Access Control Protocols for Cognitive Radio Networks and Cognitive Networks
Routing Protocols for Cognitive Radio Networks and Cognitive Networks
Transport Protocols for Cognitive Radio Networks and Cognitive Networks
TCP adaptations for Cognitive Radio Networks and Cognitive Networks
Cross-layer optimization for cognitive radio networks and Cognitive Networks
Information-theoretic aspects of cognitive radio networks and Cognitive Networks
QoS provisioning in Cognitive radio networks and Cognitive Networks
Privacy,Trust and security issues in Cognitive radio networks and Cognitive Networks
Large scale cognitive radio network experimental prototypes and results
Storage techniques for spectrum measurements
Muilti-channel Spectrum and traffic sampling techniques
Spatio-temporal models for dynamic spectrum access
Open source cognitive radios

Track 9: Logic, Semantics and Theory of Programming

Algebraic and Categorical Models
Automata, Games, and Formal Languages
Emerging and Non-standard Models of Computation
Databases, Semi-Structured Data and Finite Model Theory
Principles and Semantics of Programming Languages
Logic in Computer Science, Theorem Proving and Model Checking
Models of Concurrent, Distributed, and Mobile Systems
Models of Reactive, Hybrid and Stochastic Systems
Program Analysis and Transformation
Specification, Refinement, Verification and Synthesis
Type Systems and Theory, Typed Calculi