Call for papers/Topics

Topics of interest for submission include any topics related to:

1. Advanced Computing 

Advanced computing focuses on the theoretical foundations, algorithmic breakthroughs, and massive processing power required to solve complex problems.

Independent Core Topics

  • Quantum Computing: Quantum mechanics applied to computing.

    • Quantum bits (qubits) and superposition.

    • Quantum entanglement and teleportation.

    • Quantum algorithms (Shor's and Grover's algorithms).

  • High-Performance Computing (HPC): Supercomputing and massive parallel processing.

    • Cluster computing and grid architectures.

    • Parallel programming paradigms (MPI, OpenMP).

    • Exascale computing systems.

  • Advanced Data Structures and Algorithms:

    • Graph theory and complex network analysis.

    • Heuristic and meta-heuristic optimization (Genetic algorithms, Simulated Annealing).

Interrelated Subtopics (Bridging to Engineering & Cybersecurity)

  • Neuromorphic Computing: Hardware that mimics the human brain structure, heavily intersecting with Hardware Engineering and Artificial Intelligence.

  • Edge and Fog Computing: Decentralized computing architecture, vital for IoT Engineering and requiring decentralized Cybersecurity protocols.

  • Cryptographic Computing: Secure enclaves and homomorphic encryption, where advanced computing architectures are built specifically to enhance Cybersecurity.

2. Engineering 

Engineering translates scientific and computational theories into physical systems, devices, and infrastructure.

Independent Core Topics

  • Robotics and Autonomous Systems:

    • Kinematics, dynamics, and control systems.

    • Actuators, sensors, and feedback loops.

    • Computer vision and spatial navigation.

  • Embedded Systems and VLSI Design:

    • Microcontroller and FPGA architecture.

    • Very Large Scale Integration (VLSI) circuits.

    • Real-Time Operating Systems (RTOS).

  • Systems Engineering:

    • Lifecycle management and requirements analysis.

    • Reliability, availability, and maintainability (RAM) engineering.

Interrelated Subtopics (Bridging to Computing & Cybersecurity)

  • Cyber-Physical Systems (CPS): Systems where physical mechanisms are controlled by computer-based algorithms (e.g., smart grids, autonomous vehicles). This is a direct intersection of Engineering and Advanced Computing, creating massive attack surfaces for Cybersecurity.

  • Digital Twin Technology: Creating virtual replicas of physical assets. It relies on Advanced Computing (big data, simulation) to optimize Engineering designs.

  • Hardware Security and Reverse Engineering: Designing tamper-resistant physical chips and examining hardware to find vulnerabilities. This links VLSI Engineering directly with Cybersecurity.

3. Cybersecurity

Cybersecurity ensures the confidentiality, integrity, and availability of data, software, and physical systems across all technological domains.

Independent Core Topics

  • Governance, Risk, and Compliance (GRC):

    • Security frameworks (NIST, ISO/IEC 27001).

    • Privacy regulations (GDPR, CCPA) and compliance auditing.

    • Risk assessment methodologies.

  • Identity and Access Management (IAM):

    • Multi-factor authentication (MFA) and biometrics.

    • Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC).

    • Directory services and single sign-on (SSO).

  • Security Operations and Incident Response:

    • Threat hunting and digital forensics.

    • SIEM (Security Information and Event Management) analytics.

    • Vulnerability management and penetration testing.

Interrelated Subtopics (Bridging to Computing & Engineering)

  • Post-Quantum Cryptography (PQC): Developing cryptographic algorithms secure against quantum computer attacks. This is a crucial defense mechanism born from the progress in Advanced Computing.

  • Industrial Control Systems (ICS) / SCADA Security: Protecting the software and networks that manage physical infrastructure like power plants and water facilities. This is where Cybersecurity directly protects Civil and Mechanical Engineering.

  • AI-Driven Security (Adversarial Machine Learning): Using Advanced Computing (AI/ML) to detect threats, while simultaneously defending those AI models from being manipulated or poisoned by hackers.

  • Secure Software Development Lifecycle (DevSecOps): Integrating security practices directly into the Software Engineering pipeline.

The Ultimate Intersection: Autonomous Critical Infrastructure

If you look for a single domain where all three fields collide entirely, it is Autonomous Critical Infrastructure (e.g., a self-optimizing, AI-driven smart power grid).

  • Advanced Computing provides the machine learning models and cloud-to-edge architecture to process real-time grid data.

  • Engineering provides the physical smart meters, transformers, and electrical systems that distribute power.

  • Cybersecurity provides the network segmentation, threat detection, and encrypted protocols that prevent malicious actors from shutting down the physical grid via the computing layer.