Information Systems
The research in the area of information systems explores the fundamental limits as well as designs new algorithms and methodologies for the analysis, storage, and transfer of information embedded in digital data and signals. Our group has expertise in the areas of communications and coding theory, control systems, information theory, networking protocols and architectures,optimization, signal processing and statistical machine learning. Recent research efforts by our faculty include information and networking, decision and control, signal processing and communications, machine learning and applications.
Information and Networking
This research focus explores novel information processing algorithms and network protocols that ensure reliable, secure, and efficient operation of large-scale computer and wireless networks.
Decision and Control
This area of research concerns the design of optimal and robust decision strategies for dynamic systems in the presence of noise and model uncertainties. In the case of independent decision makers this requires information sharing and coordination aimed at achieving either a common objective, or a desirable trade off between competing objectives.
Signal Processing and Communications
In this research theme, we focus on developing novel signal processing algorithms, communication architecture and error correcting codes. We also explore their applications in data transmission and storage systems.
Machine Learning and Applications
The goal of this research thrust is to understand the fundamental limits of machine learning systems, and to develop efficient algorithms for communication systems, computer networks, medical systems and other applications.
