Our lab focuses on developing intelligent, data-driven systems at the intersection of artificial intelligence, data mining, optimization, and communication technologies. We aim to solve real-world challenges across domains such as healthcare, social computing, IoT-enabled infrastructures, and wireless networking.
Our research is organized around three core themes:
AI-Driven Data Mining: Extracting meaningful insights from complex, high-dimensional data using interpretable and scalable machine learning models.
Intelligent Networking: Enhancing the performance and adaptability of next-generation wireless communication systems through protocol design and AI-guided optimization.
Smart Systems: Designing and optimizing energy-aware, IoT-connected systems with a focus on automation, sustainability, and multi-objective decision-making.
Together, these themes bridge algorithmic innovation with real-world deployment, driving progress in both foundational research and practical applications.