Call for Papers
The International Conference on Frontiers in Advanced Computing and Emerging Intelligent Technologies (FACEIT 2025) invites original research papers, visionary ideas, and practical case studies from academia, industry, and R&D organizations. The conference provides a multidisciplinary platform to explore innovations and challenges across computing systems, intelligent technologies, and engineering applications shaping the digital era.
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All accepted and presented papers will be published in
Springer Nature book series Learning and Analytics in Intelligent Systems (Scopus Indexed), and selected high-quality papers will be invited for publication in partner international journals.
We welcome submissions in, but not limited to, the following nine thematic tracks:
Track 1: Advanced Computing and Systems
Cloud, Edge, and Fog Computing
High-Performance, Distributed, and Parallel Systems
Virtualization, Containerization, and Serverless Architectures
Software-Defined Infrastructure and Orchestration
Computing for Sustainable and Scalable Ecosystems
Track 2: Artificial Intelligence and Machine Learning
Deep, Reinforcement, and Generative Learning Models
Federated and Edge AI
Explainable, Responsible, and Trustworthy AI
AI for Cybersecurity and Automation
AI Algorithms for Optimization and Decision Support
Track 3: Data Science and Analytics
- Big Data Storage, Processing, and Management
- Data Mining, Stream Analytics, and Cloud Data Platforms
- Predictive and Prescriptive Analytics
- Visualization, Knowledge Discovery, and Data Quality
- Data Governance and Lifecycle Management
Track 4: Communication, Networking, and Cybersecurity
- 5G/6G Networks and Edge Intelligence
- Cognitive and Software-Defined Networking
- Network Virtualization and Slicing
- Cybersecurity, Cryptography, and Privacy-Preserving Protocols
- IoT and Cloud Security Frameworks
Track 5: Intelligent Systems and Automation
- IoT, Cyber-Physical Systems, and Smart Sensors
- Robotics, Drones, and Autonomous Vehicles
- Human–Machine Collaboration and Assistive Technologies
- Embedded and Real-Time Intelligent Systems
- AI-Driven Industrial Automation and Control
Track 6: Emerging Technologies and Future Trends
- Quantum, Neuromorphic, and Bio-Inspired Computing
- Blockchain and Distributed Ledger Applications
- Green, Sustainable, and Circular Computing Models
- Digital Twins, AR/VR, and Metaverse Systems
- Societal, Ethical, and Policy Aspects of Emerging Tech
Track 7: Computational Engineering and Applied Sciences
- Computational Modeling and Simulation in Engineering
- Smart Materials, Manufacturing, and Mechatronics
- Intelligent Power Systems and Smart Grids
- Bioinformatics, Health Informatics, and Biomedical Engineering
- Sensors, Signal Processing, and Embedded Control Systems
Track 8: Statistical & Probabilistic Modeling
- Estimation theory, Hypothesis testing, Regression analysis
- Reliability and survival analysis, Uncertainty quantification
- Stochastic Processes & Optimization
- Probabilistic graphical models, Bayesian inference
- Statistical & Machine Learning
Track 9: Advances and Applications of Numerical Analysis
- Advanced Numerical Methods for Differential Equations
- Numerical Linear Algebra and Large-Scale Systems
- Stochastic, Data-Driven, and Machine Learning Methods
- Computational Fluid Dynamics and Applied Simulations
- High-Performance and Physics-Informed Computing