Call for Papers

Future and intelligent communication and networking represent a rapidly evolving field driven by the integration of advanced technologies such as artificial intelligence, machine learning, and next-generation wireless systems like 5G and beyond. As global connectivity demands continue to grow, modern networks are becoming more autonomous, adaptive, and capable of handling massive volumes of data in real time. These intelligent systems enable innovations across various domains, including smart cities, IoT ecosystems, autonomous transportation, and cloud-edge infrastructures. The convergence of communication technologies with intelligent decision-making is transforming how networks are designed, managed, and optimized, paving the way for more efficient, secure, and scalable digital environments.

The International Conference on Future and Intelligent Communication and Networking (FICN 2026) invites researchers, academics, industry professionals, and practitioners to submit original and high-quality research papers addressing the latest advancements in communication systems and intelligent networking technologies. FICN 2026 aims to provide a global platform for sharing innovative ideas, emerging trends, and practical solutions in the fields of next-generation communication, artificial intelligence-driven networks, and smart connectivity systems. The conference will bring together experts from academia, industry, and government to foster collaboration and advance the state of the art in intelligent communication technologies. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to:

Future and intelligent communication and networking Systems
5G, 6G, and Beyond Communication Systems
Intelligent and Autonomous Networks
AI/ML for Communication and Networking
Internet of Things (IoT) and Industrial IoT
Edge Computing and Fog Networking
Software-Defined Networking (SDN) and Network Function Virtualization (NFV)
Cloud and Distributed Networking Systems
Cybersecurity and Privacy in Communication Networks
Wireless Sensor Networks and Ad Hoc Networks
Vehicular Networks and Smart Transportation Systems
Network Optimization and Performance Evaluation
Blockchain for Communication Networks
Green Communication and Energy-Efficient Networking
Quantum Communication and Future Internet Architectures
Digital Twins and Smart Infrastructure Networking

Artificial Intelligence for Communication and Networking
Deep Learning, Representation Learning, and Transfer Learning
Reinforcement Learning and Adaptive Systems
Federated, Distributed, and Edge AI
Reinforcement Learning and Autonomous Agents
Federated Learning and Distributed AI Systems
AI Applications and Intelligent Systems
Scalable and High-Performance AI Architectures
Edge AI, Cloud AI, and Embedded Intelligence
Optimization and Resource-Aware AI Systems
Natural Language Processing and Understanding
Speech Recognition and Conversational Agents
Multimodal Learning and Vision-Language Systems
Knowledge Representation and Reasoning
Data Mining, Knowledge Discovery, and Information Retrieval
Automated Planning and Scheduling

Generative AI, Foundation Models, and Large Language Models for Communication and Networking Applications
Generative AI and Large Language Models (LLMs)
Explainable and Responsible AI
Federated, Distributed, and Edge AI
Reinforcement Learning and Autonomous Agents
AI for Decision Support Systems
Natural Language Processing and Computational Linguistics
Multilingual and Low-Resource Language Models
Human-Computer Interaction (HCI) and Assistive Technologies
Conversational AI and Dialogue Systems
Computational Language and Human-Centered Systems
Prompt Engineering and Fine-tuning
Multimodal LLMs
Agentic AI
Image and Video Understanding
Object Detection, Recognition, and Tracking
Multimodal Learning and Vision-Language Systems
3D Vision and Scene Understanding
Affective Computing and Emotion Recognition

Future Communication and Networking Applications
Robotics and Autonomous Systems
AI for Healthcare, Smart Cities, and Transportation
AI in Finance, Education, and Industry 4.0
AI for Cybersecurity, Privacy, and Digital Trust
AI Infrastructure and Engineering
Recommender Systems and Personalization
AI for Social Good and Humanitarian Applications
Emerging Trends and Future Directions in AI Systems

Communication and Networking Security
Responsible and Trustworthy AI
Explainable AI and Transparency
Ethical and Societal Implications of AI
AI Safety, Robustness, and Security
AI Policy, Regulation, and Governance