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