Global Conference on Advanced Computing, Engineering & Cybersecurity on October 01-03, 2025 in Rome, Italy

Call for papers

Topics of interest for submission include any topics on:

I. Advanced Computing:

High-Performance Computing (HPC):

Exascale and post-exascale computing architectures.

Heterogeneous computing (CPU-GPU, FPGA).

Energy-efficient HPC and green computing.

Applications of HPC in various engineering disciplines (e.g., computational fluid dynamics, structural analysis, materials science).

Advanced numerical algorithms and simulations.

Data management and visualization for large-scale simulations.

Quantum Computing:

Quantum algorithms and their potential applications in engineering and cybersecurity (e.g., optimization, materials design, cryptography).

Quantum hardware development (superconducting qubits, trapped ions, photonic qubits, etc.).

Quantum error correction and fault-tolerant quantum computing.

Quantum simulation of physical and chemical systems.

Hybrid quantum-classical computing approaches.

Neuromorphic Computing:

Brain-inspired computing architectures and their applications.

Spiking neural networks and event-based processing.

Hardware implementations of neural networks.

Energy efficiency in neuromorphic systems.

Applications in AI, robotics, and sensor processing.

Edge Computing and IoT:

Architectures and platforms for edge intelligence.

Federated learning on edge devices.

Real-time data processing and analytics at the edge.

Security and privacy challenges in edge and IoT environments.

Applications in smart cities, industrial IoT, and autonomous systems.

Cloud Computing:

Serverless computing and function-as-a-service (FaaS).

Containerization and orchestration (Docker, Kubernetes).

Hybrid and multi-cloud strategies.

Cloud-native application development.

Security and compliance in cloud environments.

AI and machine learning services in the cloud.

Advanced Architectures and Algorithms:

Reconfigurable computing.

In-memory computing.

Approximate computing.

Bio-inspired computing.

Novel data structures and algorithms for large-scale data processing.

II. Engineering:

AI and Machine Learning in Engineering:

AI for design and optimization.

Predictive maintenance using machine learning.

AI in robotics and automation.

Computer vision for inspection and quality control.

Natural language processing for engineering documentation and collaboration.

Digital twins for simulation and monitoring.

Robotics and Automation:

Human-robot interaction and collaboration (cobots).

Autonomous mobile robots (AMRs) and their applications.

Soft robotics and bio-inspired robotics.

Advanced control systems for robots.

Robotics in manufacturing, healthcare, agriculture, and logistics.

Advanced Materials and Manufacturing:

Smart materials and metamaterials.

Additive manufacturing (3D printing) for advanced applications.

Nanomaterials and nanotechnology in engineering.

Sustainable materials and green manufacturing.

Advanced composites.

Cyber-Physical Systems (CPS):

Design and analysis of integrated computational and physical systems.

Real-time control and embedded systems.

Sensor networks and data acquisition.

Applications in smart infrastructure, transportation, and energy systems.

Security considerations for CPS.

Sustainable Engineering:

Renewable energy systems and integration.

Energy efficiency and conservation.

Waste management and circular economy principles.

Environmental monitoring and remediation.

Sustainable infrastructure development.

Biomedical Engineering:

Bioinformatics and computational biology.

Medical imaging and analysis.

Bioprinting and tissue engineering.

Wearable sensors and health monitoring devices.

Neural engineering and neuroprosthetics.

III. Cybersecurity:

Artificial Intelligence in Cybersecurity:

AI-powered threat detection and analysis.

Machine learning for anomaly detection and intrusion prevention.

AI for security automation and orchestration (SOAR).

Adversarial AI and defense against AI-powered attacks.

Network Security:

Next-generation firewalls and intrusion detection/prevention systems.

Software-defined networking (SDN) security.

Wireless network security (5G and beyond).

Network forensics and incident response.

Zero-trust architectures and micro-segmentation.

Data Security and Privacy:

Advanced encryption techniques (including post-quantum cryptography).

Data loss prevention (DLP) and data governance.

Privacy-enhancing technologies (PETs).

Compliance with data privacy regulations (e.g., GDPR).

Secure data storage and management in the cloud.

Identity and Access Management (IAM):

Multi-factor authentication (MFA) and biometrics.

Role-based access control (RBAC) and attribute-based access control (ABAC).

Identity federation and single sign-on (SSO).

Decentralized identity solutions.

Cybersecurity for Critical Infrastructure:

Industrial control systems (ICS) and operational technology (OT) security.

Security of smart grids and energy systems.

Transportation cybersecurity.

Water and wastewater infrastructure security.

Emerging Threats and Attack Vectors:

Ransomware and extortion attacks.

Supply chain security.

Social engineering and phishing attacks.

Insider threats.

Deepfakes and disinformation.

Quantum computing threats to cryptography.

Cybersecurity Governance, Risk, and Compliance (GRC):

Cybersecurity frameworks and standards (e.g., NIST, ISO 27001).

Risk assessment and management.

Cybersecurity audit and compliance.

Legal and ethical aspects of cybersecurity.

Overlapping and Interdisciplinary Topics:

Security of AI/ML systems.

Secure edge computing and IoT deployments.

Privacy-preserving machine learning.

Hardware security and trusted execution environments.

Formal verification for security.

Explainable AI for security analysis.

Cybersecurity in autonomous systems and robotics.

Name: ICEEAT
Website: http://iceeat.heaig.org