37th LISBON Global Congress on Advances in Engineering, Computing & Cybersecurity (AECC-25)

Call for papers/Topics Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields: 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