Hassan Habibi Gharakheili

Habibi Gharakheili is a researcher and academic with a strong focus on networking, cybersecurity, and the Internet of Things (IoT). His work spans a wide range of topics, including network security, traffic analysis, software-defined networking (SDN), and the application of machine learning and AI in IoT environments. He has contributed significantly to the development of frameworks and tools for monitoring, classifying, and securing IoT devices and networks. His research also includes the use of blockchain for data integrity, the optimization of smart environments, and the integration of IoT with AI for real-time analytics and decision-making.

Hassan Habibi Gharakheili is an Associate Professor at UNSW Sydney, specializing in computer networking, machine learning, and data analysis. His research focuses on enhancing security and privacy in IoT environments through network traffic analysis, MUD policy integration, and SDN-based monitoring. He investigates threats such as volumetric attacks, DNS exfiltration, and reflective DDoS attacks, while exploring solutions like flow-based security and clustering-based modeling. His work also addresses the classification of IoT devices and the optimization of smart environments through AI-driven approaches. By combining machine learning with network telemetry, he aims to improve the security and usability of smart homes and campuses.