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. Download Brochure.
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:
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
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
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
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
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
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
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
Estimation theory, Hypothesis testing, Regression analysis
Reliability and survival analysis, Uncertainty quantification
Stochastic Processes & Optimization
Probabilistic graphical models, Bayesian inference
Statistical & Machine Learning
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
FACEIT 2025 encourages submissions from researchers, faculty, students, and industry professionals engaged in advancing computing, intelligence, and engineering technologies.
