Ongoing Research#

AI-Driven Network Intrusion Detection#

Developing transformer-based deep learning models for real-time network traffic analysis. Achieving state-of-the-art accuracy with reduced false positive rates.

Post-Quantum Cryptographic Schemes#

Investigating lattice-based and code-based constructions resistant to quantum attacks. Focus on practical efficiency and formal security proofs.

Privacy-Preserving Federated Learning#

Designing federated learning frameworks with formal differential privacy guarantees for collaborative model training.

Adversarial Robustness in Deep Learning#

Studying attack and defense mechanisms in neural networks for security-critical applications.

Embodied Intelligence for Autonomous Systems#

Researching safe embodied AI: sim-to-real transfer, robot learning, and safety verification for autonomous agents.

Blockchain Security & Smart Contract Auditing#

Developing automated tools for detecting security flaws in decentralized applications.