Research Areas

1. Medical Intelligence & Deep Learning

Our laboratory focuses on the integration of state-of-the-art Deep Learning models with clinical diagnostics. We specialize in developing automated, high-precision tools for medical imaging to assist healthcare professionals in early disease detection and treatment planning.

• Key Focus: Dental radiography analysis, anomaly detection in clinical imaging, and robust medical data processing.

• Current Projects: AI-driven diagnostic systems for dental pathology and automated image segmentation for clinical records.

2. Advanced Network Security & Infrastructure

In the era of Software-Defined Networking (SDN), ensuring infrastructure resilience is critical. We leverage sFlow technology and intelligent algorithms to monitor, detect, and mitigate large-scale cyber threats in real-time.

• Key Focus: DDoS attack mitigation, traffic analysis in SDN environments, and secure fog computing architectures.

• Current Projects: Leveraging big data analytics for real-time threat detection and building adaptive defense mechanisms for next-generation network controllers.

3. Smart Education 4.0 & Fog Computing

We explore the transformative potential of Big Data and Fog Computing in modernizing educational ecosystems. By optimizing data flow and processing at the edge, we aim to create smarter, more responsive learning environments.

• Key Focus: Educational data mining, IoT integration in classrooms, and architecture for Education 4.0.

• Current Projects: Developing scalable fog computing frameworks to support big data applications in smart campus initiatives.