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