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