We explore supervised and unsupervised learning, deep neural networks, reinforcement learning, and responsible AI. Our research applies these methods to domains such as health, education, and infrastructure.

We focus on threat detection (IDS/IPS), secure CI/CD pipelines, vulnerability management, and integrating security early in software development lifecycles.

Our IoT research involves edge computing, federated learning, energy-efficient protocols, and securing smart devices in dynamic environments.

Investigating quantum circuits, hybrid quantum-classical models, angle encoding, and their applications in learning tasks. We aim to understand and push the boundary of what’s possible in intelligent systems.