Global Congress on Advances in Engineering, Computing & Cybersecurity on December 10-12, 2025 in Lisbon, Portugal

Call for papers

Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields:

Conferences on "Advances in Engineering, Computing & Cybersecurity" typically cover a broad range of topics that reflect the interdisciplinary nature of these fields. Here's a comprehensive list, categorized for clarity:

I. Advanced Computing

Artificial Intelligence and Machine Learning:

Deep Learning and Neural Networks (e.g., CNNs, RNNs, Transformers)

Natural Language Processing (NLP)

Computer Vision and Image/Signal Analysis

AI Ethics and Applications

AI for design, optimization, and predictive maintenance

Reinforcement Learning

Federated and Distributed Learning

Generative AI (GenAI) and Explainable AI (XAI)

Computational Intelligence (e.g., fuzzy logic, evolutionary computation)

High-Performance and Parallel Computing:

Exascale and post-exascale architectures

Heterogeneous computing (CPU-GPU, FPGA)

Energy-efficient and green HPC

Advanced numerical algorithms and simulations

Data management and visualization for large-scale simulations

Quantum Computing:

Quantum algorithms and applications (optimization, materials design, cryptography)

Quantum hardware development (qubits, trapped ions, photonic qubits)

Quantum error correction and fault-tolerant quantum computing

Quantum simulation

Hybrid quantum-classical computing

Cloud, Edge, and Distributed Computing:

Serverless computing (FaaS)

Containerization and orchestration (Docker, Kubernetes)

Hybrid and multi-cloud strategies

Cloud-native application development

Architectures and platforms for edge intelligence

Real-time data processing and analytics at the edge

Fog computing

Cloud-to-Edge Continuum

Microservices

Big Data and Data Analytics:

Data Mining and Machine Learning Applications

Real-Time Analytics and Stream Processing

Predictive and Prescriptive Analytics

Data Warehousing and Big Data Architectures

Computational Biology and Bioinformatics

Hardware and Computer Architecture:

Embedded Systems and IoT Devices

FPGA, ASIC, and Microprocessor Design

System-on-Chip (SoC) Architectures

Reconfigurable computing

In-memory computing

Approximate computing

Novel data structures and algorithms

II. Engineering Applications & Systems

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

Autonomous Vehicles and Drones

Cyber-Physical Systems (CPS) and Internet of Things (IoT):

Design and analysis of integrated computational and physical systems

Real-time control and embedded systems

Sensor networks and data acquisition

Applications in smart cities, industrial IoT, smart infrastructure, transportation, and energy systems

Security and privacy challenges in edge and IoT environments

Software Engineering and Development:

Agile and DevOps methodologies

Software Architecture and Design

Testing, Automation, and Quality Assurance

Microservices and Cloud-Native Applications

Secure software development lifecycle (SSDLC)

Software quality, reengineering, and maintenance

Networking and Communication:

Wireless Networks (5G, 6G, LPWAN)

Network Protocols and Architectures

Software-Defined Networking (SDN) and Network Function Virtualization (NFV)

Network forensics and incident response

Satellite and Space Communications

Optical Networks

Vehicular Networks (V2X)

Emerging Technologies in Engineering:

Advanced Materials and Manufacturing (e.g., 3D printing, nanomaterials)

Sustainable Engineering (renewable energy, energy efficiency, waste management)

Biomedical Engineering (medical imaging, bioprinting, wearable sensors)

Virtual and Augmented Reality (VR/AR)

Digital Twins

III. Cybersecurity

Cybersecurity Fundamentals:

Network Security (firewalls, IDS/IPS, SDN security)

Cryptography and Data Privacy (e.g., post-quantum cryptography, homomorphic encryption)

Security in IoT and Cloud Environments

Ethical Hacking and Threat Intelligence

Malware analysis and detection

Forensics and diagnostics for security

Vulnerability discovery and fuzzing

Advanced Cybersecurity Topics:

AI and Machine Learning in Cybersecurity (threat detection, anomaly detection, predictive security)

Cyber-Physical Systems Security

Hardware Security (secure computer architectures, embedded systems security, side channels)

Blockchain and Distributed Ledger Technologies for security

Zero-Trust Architectures and Micro-segmentation

Incident Response and Management

Security Frameworks and Best Practices (NIST, ISO/IEC 27001)

Quantum Cryptography and Quantum-Resistant Algorithms

Security, Privacy, and Society:

Privacy-enhancing technologies

Data privacy regulations (GDPR, CCPA)

Legal and ethical aspects of cybersecurity

Information manipulation, misinformation, and disinformation

Human Factors in Cybersecurity

Cybersecurity skills, training, and education

Policy and Governance in Cybersecurity

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