Labs & Groups
The Aerospace Controls Laboratory (ACL) researches topics related to autonomous systems and control design for aircraft, spacecraft, and ground vehicles. Theoretical research is pursued in areas such as: decision making under uncertainty; path planning, activity and task assignment; estimation and navigation; sensor network design; robust control, adaptive control, and model predictive control.
The Aerospace Robotics and Embedded Systems group performs research in the area of real-time planning and control for mobile cyber-physical systems (i.e., systems endowed with computation, communication, sensing, mobility, and actuation capabilities), with particular emphasis on autonomous vehicles, mobile robotics, and transportation systems.
The Stochastic Systems Group (SSG)
The Stochastic Systems Group (SSG) is led by Professor Alan S. Willsky, with additional leadership from Dr. John Fisher, Principal Research Scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL). The focus of research within SSG is on developing statistically based methodologies for complex problems of information extraction and analysis from signals, images, and other sources of data. The work extends from basic mathematical theory to specific areas of application.
Professor Win and his students are interested in the applications of mathematical and statistical theories to communication, detection, and estimation problems. Their research encompasses developing fundamental theories, designing algorithms, and conducting experimentation for a broad range of real-world problems. Current research topics include location-aware networks, time-varying channels, multiple antenna systems, ultra-wide bandwidth systems, optical transmission systems, and space communications systems.
The primary research goal of the Inference and Stochastic Networks group is the design of practical algorithmic solutions with theoretical understanding for problems arising in large networks and large scale statistical inference. Applications include wireless networks, Internet routers, social networks as well as statistical inference in complex circuits, revenue management, fault detection in large networked system. This inter-disciplinary research builds upon advances in applied probability, stochastic networks, information theory, artificial intelligence, and algorithms.
The primary goal of the Communications and Networking Research Group is the design of network architectures that are cost effective, scalable, and meet emerging needs for high data-rate and reliable communications. The group is working on a wide range of projects in the area of data communication and networks with application to satellite, wireless, and optical networks. An important aspect of the group's research is the development of architectures and algorithms that are optimized across multiple layers of the protocol stack. To that end, the group's research crosses disciplinary boundaries by combining techniques from network optimization, queueing theory, graph theory, network protocols and algorithms, hardware design, and physical layer communications.