Research
Areas of inquiry, open questions, and ongoing investigations.
Cybersecurity
Focus on securing IoT gateway architectures and connected autonomous vehicle sensor streams against false data injection, botnets, and eavesdropping.
Explainable AI
Developing interpretability methods to make ML models trustworthy in high-stakes applications. Work spans SHAP, LIME, and attention-based explanations for adversarial and IoT threat detection scenarios.
Machine Unlearning
Investigating algorithms that enable deep learning networks to selectively forget training samples on demand, complying with right-to-be-forgotten privacy mandates without full model retraining.
NLP & LLMs
Engineering Retrieval-Augmented Generation (RAG) and conversational agents, with focus on securing natural language to SQL translators and voice-assisted workflows.
Quantum Security
Applying quantum cryptographic primitives like Continuous-Variable Quantum Key Distribution (CV-QKD) to secure resource-constrained IoT nodes and vehicular networks.