Aim and Scope

The main objective of this international conference is to provide a platform for researchers, engineers, and practitioners from academia and industry to present their latest research, address theoretical and practical challenges, and explore new avenues for collaboration and innovation. The symposium also fosters the exchange of ideas, sharing of solutions, and discussion of emerging issues related to the integration of smart technologies into complex systems.

The conference will feature keynote speeches from internationally recognized experts, offering valuable insights into current trends and future directions in smart and intelligent systems.

 

SUBJECT COVERAGE

The topics covered by the conference but not limited to these are:

Track 1

Intelligent Models and Smart Decision Systems

This track addresses core AI approaches and decision mechanisms that drive context-aware, autonomous, and intelligent behavior across systems.

  • Machine Learning and Knowledge-Driven Reasoning
  • Autonomous Decision Support in Complex Environments
  • Context-Aware Systems and Adaptive Algorithms
  • Multi-Agent Systems and Collective Intelligence
  • Human-Centered AI for Smart Interfaces

Track 2

Connected Intelligence and Distributed Architectures

Focused on the technological backbone that enables distributed, intelligent systems to communicate, coordinate, and operate at scale.

  • IoT and Edge Computing for Adaptive Systems
  • Smart Communication Protocols and 5G+ Integration
  • Interoperable and Scalable Distributed Platforms
  • Event-Driven Architectures for Real-Time Systems
  • Resource-Aware Networking for Smart Applications

Track 3

Secure, Trusted, and Data-Driven Ecosystems

This track emphasizes the responsible use of data, with a focus on privacy, security, and trust in intelligent and interconnected environments.

  • Secure and Privacy-Preserving Data Analytics
  • Trust Models and Blockchain in Distributed Systems
  • Federated Learning and Collaborative Intelligence
  • Anomaly Detection and System Resilience
  • Ethical AI and Compliance in Data-Driven Systems

The primary purpose of the conference is to publish original and complete papers covering a specific topic in the above-mentioned areas. Participants should present complete and well-developed research that offers practical value and insight to the scientific and professional community. The readers and audience should benefit from the novel solutions and analyses presented in the papers.

 

G3S 2025 welcomes innovative methodologies, real-world implementations, and interdisciplinary research that contribute to shaping the future of intelligent systems.