Call for papers/Topics

Topics of interest for submission include any topics related to:

Artificial Intelligence, Machine Learning, and Automated Systems

  • Generative AI Models and Architecture: Development of foundation models, large language models, and diffusion systems driving automated tasks.

  • Adversarial Machine Learning: Engineering resilience against data poisoning, model inversion, and prompt injection attacks.

  • AI-Powered Threat Detection: Applying continuous anomaly detection and behavioral predictive models to isolate network attacks.

  • Automated Software Engineering: AI-assisted code generation, static security scanning, and automated bug refactoring during production.

Quantum Information Processing and Hardware

  • Quantum Computing Architectures: Hardware implementations using superconducting qubits, trapped ions, and photonic circuits.

  • Post-Quantum Cryptography: Designing lattice-based and code-based cryptographic primitives immune to quantum decryption.

  • Quantum Key Distribution: Quantum physics-based communication protocols ensuring untamperable key exchange over optical channels.

  • Quantum Simulation for Engineering: Utilizing quantum systems to model material physics, chemical reactions, and thermal mechanics.

Cyber-Physical Systems, IoT, and Critical Infrastructure

  • Industrial Control System Security: Protecting SCADA and operational technology (OT) platforms from targeted physical and digital sabotage.

  • Internet of Things Architecture: Designing low-power processing hardware and micro-kernels for distributed sensors.

  • Autonomous Vehicle Engineering: Software safety standards, sensor fusion, and anti-hijacking controls for autonomous transit.

  • Digital Twins for Systems Engineering: Virtual mirror modeling of physical infrastructure to simulate wear, load, and cyber-attack scenarios.

Distributed Systems, Cloud, and Edge Computing

  • Confidential Computing: Utilizing hardware-enforced Trusted Execution Environments (TEEs) to process encrypted data safely.

  • Edge Intelligence and Fog Computing: Distributing compute capacity closer to data sources to lower latency and preserve network bandwidth.

  • Zero Trust Architecture: Continuous identity verification, strict access controls, and micro-segmentation across distributed multi-cloud networks.

  • Decentralized Infrastructure and Ledger Systems: Using consensus mechanisms and smart contract security to secure supply chains and immutable logging.

Software Engineering, DevSecOps, and Supply Chain

  • DevSecOps Automation: Embedding static and dynamic continuous integration pipeline security testing directly into development workflows.

  • Software Supply Chain Security: Managing Software Bill of Materials (SBOMs), verifying open-source dependencies, and preventing repository attacks.

  • Microservices and Container Security: Securing orchestration platforms, API gateways, and container runtime environments.

  • Formal Verification and Code Correctness: Mathematical proof techniques applied to software systems to guarantee safety and vulnerability absence.

Privacy-Preserving and Applied Cryptography

  • Homomorphic Encryption: Cryptographic schemes allowing mathematical computations directly on encrypted data without prior decryption.

  • Federated Learning and Differential Privacy: Training machine learning models across decentralized nodes while mathematically protecting individual node privacy.

  • Zero-Knowledge Proofs: Cryptographic methods proving statement validity without revealing underlying sensitive information.

  • Hardware Security and Roots of Trust: On-chip cryptographic coprocessors, physically unclonable functions (PUFs), and side-channel attack countermeasures.