International Symposium on iNnovative Informatics of Biskra (ISNIB'2022)

The ISNIB aims at bringing together researchers and practitioners designing and deploying systems that belong to one of the six tracks of the symposium. Topics of interest include, but are not limited to:

Track 1. Artificial Intelligence

• Multi-Agent systems
• Ambient Intelligence
• Smart cities, Smart houses, Smart grids
• Robotics
• IoT, Cloud Computing, cyber-physical systems
• Genetic algorithms and evolutionary methods
• Digital Twin (DTs)
• Data-centric systems
• Industry 4.0, Agriculture 4.0
• Smart farming
• Prognostic and Health Management
• Deep learning

Track 2. Image and artificial life

• Image synthesis
• Artificial life
• Image processing
• Crowd simulation
• Virtual environment
• Automatic image & video annotation
• Content-based image retrieval
• Cryptography, steganography & watermarking
• Image coding and compression
• Image filtering, smoothing, and enhancement
• Image segmentation, feature detection and extraction
• Augmented and mixed reality
• Biometrics, facial recognition
• Object detection and recognition

Track 3. Software Engineering

• Distributed, complex, embedded and critical systems
• Business process modeling, software production lines
• Formal specification, modeling and verification
• Reconfigurable systems development
• Blockchain, IoT, Cloud Computing

Track 4. Computer Networks

• Intrusion Detection
• 5G networking
• Wireless networking
• Intelligent Network Technologies for the IoT
• Software-defined networks (SDN),
• Wireless sensor networks and Intelligent Networks
• IoT, Cloud computing, Edge computing

Track 5. Data mining and optimization

• Theory, algorithms and models of data mining
• Machine learning for data mining
• Statistical methods for data mining
• Data mining systems
• Data mining in personalization and recommendation
• Similarity-Based Reasoning
• Data models and architectures
• Algorithmic Game Theory
• Sub-modular Optimization
• Graph Theory and Graph Algorithms
• Combinatorial Optimization
• Scheduling
• Optimization Algorithms in Machine Learning

Track 6. Parallel Computing and Systems

• Software-defined fog node in blockchain architecture
• Multi clustering approach in mobile edge computing
• Distributed computing & smart city services
• Geo distributed fog computing
• Distributed trust protocol for IaaS cloud computing
• Parallel vertex-centric algorithms
• Partitioning algorithms in mobile environments
• Distributed computing with delay tolerant network