17th International Conference on Intelligent Systems Design and Applications (ISDA 2017)

Topics

• Intelligent Systems Architectures and Applications (but not limited to)
  • Mathematical foundations of neural networks
  • Artificial Neural Networks
  • Learning theory (supervised/ unsupervised/ reinforcement learning)
  • Architectures and algorithms
  • Implementation issues of neural networks
  • Knowledge based networks
  • Neural network applications
  • Support Vector Machines
  • Fuzzy expert systems
  • Fuzzy Systems, fuzzy logic and possibility theory
  • Fuzzy system modeling and simulation
  • Fuzzy system design using evolutionary algorithms
  • Evolutionary Algorithms
  • Fuzzy systems and applications
  • Learning Classifiers
  • Genetic algorithms, evolution strategies, genetic programming and evolutionary programming
  • Evolutionary algorithms and applications
  • Hybrid evolutionary algorithms
  • Fusion of fuzzy systems- evolutionary algorithms
  • Fusion of neural network- fuzzy systems
  • Fusion of neural network- fuzzy systems- evolutionary algorithms
  • Fusion of neural network evolutionary algorithms
  • Bayesian networks and probabilistic reasoning
  • Intelligent agents (architectures, environments, adaptation/ learning and knowledge management)
  • Statistical learning techniques
  • Rough sets
  • CAD systems
  • Fusion of statistical methods and soft computing techniques
  • Intelligent techniques in Bioinformatics
  • Intelligent optimization techniques
• ::
• Intelligent Internet Modeling (but not limited to)
  • Search engines
  • Web intelligence
  • Database querying
  • Information retrieval (web mining)
  • XML mining
  • Ontology
  • Network security, intrusion detection
  • Intelligent networking between Web Sites
  • Interaction with intelligent agents
  • Information aggregation and fusion
  • Intelligent tutoring systems on the WWW
  • Intelligent agents and interfaces for personalization and adaptivity
  • Agents for digital cities, virtual communities and agent societies
  • Adaptive hypermedia systems
• Intelligent Image and Signal Processing (but not limited to)
  • Image, video and multidimensional signal processing
  • Design and implementation of intelligent signal processing systems
  • Speech processing
  • Multimedia signal processing
  • Texture analysis
  • Features and classification
  • Stereoscopic vision
  • Document analysis
  • Object recognition
  • Shape processing
  • Image and video compression
  • Image and video retrieval
• Intelligent Business Systems (but not limited to)
  • Risk management
  • E-learning, e-commerce, e-business, e-finance
  • Portfolio management and asset allocation
  • Derivatives pricing
  • Hedging, trading & arbitrage strategies
  • Stock market, forex market analysis, dynamics; simulation
  • Computational economics
  • Financial modeling
  • Multicriteria decision making
  • Intelligent management
• Intelligent Data mining (but not limited to)
  • Uncertainty management for data mining
  • Discovering patterns in continuous data
  • Classification trees
  • Clustering algorithms and applications
  • Mining in a Mobile Environment
  • Mining time series
  • XML Mining
  • Statistical Considerations in Learning
  • Distributed Data Mining
  • Text Mining
• Intelligent Agents (but not limited to)
  • Agent architectures and communication languages
  • Adaptation and learning
  • Conversational agents
  • Communication, collaboration, and interaction of humans and agents
  • Designing agent systems methodologies & software engineering
  • Coordinating multiple agents
  • Knowledge acquisition and management
  • Evolution of agents
  • Multi-agent communication, coordination, and collaboration
  • Models of emotion, motivation, or personality
• Intelligent Control and Automation (but not limited to)
  • Soft computing/computational intelligence in control systems
  • Mathematical modeling and analysis of complex systems
  • Adaptive control systems
  • Knowledge based control systems
  • Control applications in robotics, manufacturing, process control, industrial systems, automotive, vehicular systems, spacecraft and so on
• Innovative Information Security
• Intelligent Knowledge Management (but not limited to)
  • Development and management of heterogeneous knowledge bases
  • Application of knowledge representation techniques to semantic modeling
  • Performance evaluation
  • Automatic acquisition of data and knowledge bases (especially raw text)
  • Data and knowledge sharing
  • Parallel database systems
  • Domain modeling and ontology-building
  • Cooperation in heterogeneous systems
  • Digital Libraries
  • Concurrent engineering and computer integrated manufacturing
  • Multimedia Databases
• Web Intelligence
• Innovative Networking and Communication Techniques
  • Protocol design, including cross-layer and opportunistic approaches
  • Cognitive networking
  • Mobility management and seamless internetworking
  • Delay tolerant networks
  • MAC-layer design for ad hoc networks and WSNs
  • Key management and trust establishment in wireless networks
  • Opportunistic networking
  • Networked smartphone applications
  • QoS and Resource management
  • Power-aware architectures, algorithms, and protocols design
  • Resource management and wireless QoS provisioning
  • Reliability, resiliency and fault tolerance techniques
  • Mobile computing and networking Mobility management
  • Routing protocols, including unicast, multicast, broadcast, geocast
  • Smart grid
  • Security and privacy issues in ad hoc networks
  • Coexistence of heterogeneous wireless networks
  • Vehicular networks and protocols
  • Secure Mobile Agents and Mobile Code
• Intelligent Software Engineering
  • Software evolution
  • Autonomic and self-managed software Requirements engineering
  • Knowledge-based software engineering
  • Automated software Testing and analysis
  • Intelligent Software maintenance
  • Software reuse
  • Reengineering and reverse engineering
  • Service-oriented architectures
  • Model-driven software engineering
  • Program comprehension and visualization
  • Distributed, web-based and internet-scale SE
  • Intelligent Software design techniques
  • Software economics and metrics
  • Processes and workflow
  • Patterns and frameworks

Who should Attend

• Engineers and researchers
• Students