Conference Topics - ICCFN 2025

Conference Tracks

6G and Future Network

Next-generation wireless architectures and communication technologies

Explore the future of wireless communication beyond 5G, focusing on terahertz communications, integrated sensing and communication, and AI-native network architectures.

Key Research Areas:
  • Terahertz (THz) band communication and networking
  • Integrated sensing and communication (ISAC) systems
  • Reconfigurable intelligent surfaces (RIS)
  • AI-native 6G network architecture
  • Holographic-type communications
  • Ultra-reliable low-latency communication (URLLC) enhancements
  • Satellite-terrestrial integrated networks
  • Energy-efficient 6G network design
Terahertz Communication ISAC Reconfigurable Surfaces AI-Native Networks Holographic Comm Satellite Integration

Cybersecurity, Risk Management, and Sensitive Data Management

Advanced security frameworks and data protection in digital ecosystems

Address emerging cybersecurity challenges in interconnected systems, focusing on threat intelligence, privacy preservation, and secure data management across distributed environments.

Key Research Areas:
  • Zero-trust architecture and implementation
  • AI-powered threat detection and response
  • Blockchain for cybersecurity applications
  • Privacy-preserving data analytics
  • Critical infrastructure protection
  • Cloud security and multi-tenancy issues
  • IoT and edge device security
  • Security risk assessment and management frameworks
Zero-Trust AI Security Blockchain Privacy Engineering Critical Infrastructure Cloud Security

Federated Resource Management

Distributed computing and resource optimization across network edges

Explore innovative approaches for managing computational, storage, and network resources in federated and distributed computing environments.

Key Research Areas:
  • Federated learning systems and optimization
  • Multi-access edge computing (MEC) resource allocation
  • Fog computing architectures and management
  • Serverless computing in distributed environments
  • Resource orchestration in hybrid clouds
  • Energy-aware resource management
  • Quality of Service (QoS) in federated systems
  • Blockchain-based resource sharing
Federated Learning Edge Computing Fog Computing Serverless Resource Orchestration Blockchain

Business, Innovation, and Cybertechnology Entrepreneurship

Transforming technological innovation into business value

Bridge the gap between technological innovation and business applications, focusing on entrepreneurship, digital transformation, and value creation in cybertechnology ecosystems.

Key Research Areas:
  • Digital transformation strategies
  • Cybertechnology startup ecosystems
  • Technology commercialization models
  • Innovation management in tech companies
  • Venture capital and tech investment
  • Business model innovation for digital services
  • Regulatory compliance and business strategy
  • Ethical considerations in tech entrepreneurship
Digital Transformation Tech Entrepreneurship Innovation Management Venture Capital Business Models Regulatory Tech

AI/Machine Learning

Intelligent systems and automated decision-making

Advance the frontiers of artificial intelligence and machine learning applications in networking, cybersecurity, and digital transformation.

Key Research Areas:
  • Deep learning for network optimization
  • Reinforcement learning in autonomous systems
  • Explainable AI (XAI) in critical applications
  • Transfer learning and domain adaptation
  • AI for network security and anomaly detection
  • Natural language processing in business applications
  • Computer vision for industrial automation
  • Edge AI and tiny machine learning
Deep Learning Reinforcement Learning Explainable AI Transfer Learning Network AI Edge AI

Quantum Computing and Quantum Communication

Next-generation computing and secure communication paradigms

Explore the transformative potential of quantum technologies in computing, communication, and cybersecurity.

Key Research Areas:
  • Quantum algorithms and complexity
  • Quantum machine learning
  • Quantum key distribution (QKD) networks
  • Post-quantum cryptography
  • Quantum internet architectures
  • Quantum error correction
  • Quantum sensing and metrology
  • Hybrid quantum-classical computing
Quantum Algorithms Quantum ML QKD Networks Post-Quantum Crypto Quantum Internet Quantum Sensing

Natural Language Processing

Language understanding and generation systems

Advance the field of natural language processing with cutting-edge research in language understanding, generation, and human-computer interaction.

Key Research Areas:
  • Large language models and transformer architectures
  • Multilingual and cross-lingual NLP
  • Sentiment analysis and opinion mining
  • Text summarization and generation
  • Question answering and dialogue systems
  • Named entity recognition and information extraction
  • Machine translation and language adaptation
  • Ethical considerations in NLP applications
Large Language Models Multilingual NLP Sentiment Analysis Text Generation Dialogue Systems Machine Translation

Multimedia, Computer Vision, and Image Processing

Visual data analysis and multimedia systems

Explore innovative approaches in computer vision, image processing, and multimedia systems for real-world applications and intelligent visual understanding.

Key Research Areas:
  • Object detection and recognition systems
  • Image and video segmentation
  • 3D computer vision and reconstruction
  • Multimedia content analysis and retrieval
  • Video surveillance and activity recognition
  • Medical image analysis and processing
  • Augmented and virtual reality applications
  • Multimodal learning and fusion
Object Detection Image Segmentation 3D Vision Multimedia Analysis Video Surveillance Medical Imaging

Mobile Systems and Distributed Computing

Decentralized systems and mobile applications

Advance research in distributed computing paradigms and mobile systems, focusing on scalability, reliability, and efficient resource utilization in decentralized environments.

Key Research Areas:
  • Mobile cloud computing and offloading
  • Distributed ledger technologies and applications
  • Mobile edge computing architectures
  • Wireless sensor networks and IoT systems
  • Distributed database systems
  • Mobile application development frameworks
  • Energy-efficient mobile computing
  • Context-aware mobile services
Mobile Cloud Distributed Ledger Edge Computing Sensor Networks Distributed Databases Mobile Apps

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