Tracks & Scope

Conference Tracks & Scope

ICCICC – 2026 Conference Tracks

The ICCICC–2026 invites original, high-quality research papers across key areas of Computer, Electrical, Electronics & Communication Engineering for advancing sustainability through technologies. Submissions are welcome in the following tracks (but not limited to):

Track 1: Artificial Intelligence, Machine Learning & Optimization

  • Deep Neural Models and Representation Learning
  • Explainable, Interpretable, and Trustworthy AI Systems
  • Reinforcement Learning for Sequential Decision Making
  • Evolutionary Algorithms and Nature-Inspired Optimization
  • Automated Machine Learning and Hyperparameter Optimization
  • Knowledge-Based and Symbolic AI Systems
  • AI for Planning, Scheduling, and Resource Optimization
  • Federated, Distributed, and Collaborative Learning
  • Learning Under Uncertainty and Probabilistic AI
  • Ethical AI, Bias Mitigation, and Responsible Intelligence
  • Generative Artificial Intelligence and Foundation Models
  • Large Language Models (LLMs), Prompt Engineering, and Conversational Intelligence

Track 2: Networks, Security & Communication Systems

  • Next-Generation Wireless and Mobile Communication (5G and Beyond)
  • Network Protocol Engineering and Internet Architecture
  • Secure Network Design and Intrusion Detection Systems
  • Cryptographic Systems and Secure Key Management
  • Software-Defined and Virtualized Network Infrastructures
  • Optical, Satellite, and Space Communication Technologies
  • Underwater and Challenged Communication Networks
  • Network Traffic Modeling and Quality of Service Analysis
  • Blockchain-Based Communication and Trust Frameworks
  • Resilient and Fault-Tolerant Communication Systems

Track 3: Robotics, Automation & Control

  • Autonomous Robotic Navigation and Path Planning
  • Industrial Control Systems and Smart Automation
  • Adaptive and Nonlinear Control Techniques
  • Human–Robot Cooperation and Collaborative Robotics
  • Swarm Robotics and Collective Intelligence Systems
  • Robot Perception, Sensing, and Environment Mapping
  • Soft Robotics and Compliant Mechanisms
  • Embedded Robotics Systems and Real-Time Control
  • Medical and Rehabilitation Robotics
  • Aerial, Ground, and Marine Robotic Platforms
  • AI-Driven Autonomous Systems for Smart and Sustainable Environments

Track 4: Data Science, Computing & Emerging Paradigms

  • Large-Scale Data Analytics and Mining Techniques
  • Statistical Learning and Predictive Modeling
  • Data Visualization and Interactive Analytics
  • Scientific and High-Precision Computing Methods
  • Quantum Computing Models and Algorithms
  • Data-Driven Technologies for Sustainable Development Goals (SDGs)
  • Computational Intelligence for Sustainable and Green Systems
  • Neuromorphic and Brain-Inspired Computing Systems
  • Digital Twin Modeling and Simulation Frameworks
  • Data Governance, Provenance, and Quality Engineering
  • Ethical Data Analytics and Policy-Aware Computing
  • Cross-Domain Data Integration and Interoperability

Track 5: Parallel & Distributed Systems and IoT

  • Parallel Programming Models and Many-Core Architectures
  • Distributed System Architectures and Middleware Design
  • Cloud-Native Computing and Virtualization Platforms
  • Edge and Fog Computing Infrastructure Management
  • Internet of Things Platforms and Device Management
  • IoT-Enabled Smart Cities and Urban Computing Systems
  • Distributed Storage, Databases, and File Systems
  • Scheduling, Load Balancing, and Resource Allocation
  • Fault Tolerance, Consistency, and System Reliability
  • Energy-Aware and Sustainable Distributed Computing
  • Real-Time Cyber-Physical System Architectures

Track 6: Signal & Image Processing, Human-Computer Interaction

  • Advanced Digital Signal Processing Techniques
  • Image Understanding and Computational Vision
  • Video Analytics and Multimedia Signal Processing
  • Speech and Audio Processing Technologies
  • Biomedical Signal and Medical Image Analysis
  • Feature Extraction and Pattern Analysis Methods
  • Computer Graphics and Visual Rendering Systems
  • Human–Computer Interaction Methods and Evaluation
  • Affective Computing and Emotion-Aware Interfaces
  • Brain–Computer Interfaces and Neural Signal Analysis
  • Multimodal Generative Systems for Human–Computer Interaction

Contact Us