From distributed systems and databases to wireless, the research conducted by the systems and networking group aims to improve the performance, robustness, and ease of management of networks and computing systems.
Our research spans a variety of topics, including the design of novel architectures; the scalability, efficiency, reliability, and security of existing systems; and the tools and languages to build and verify the correctness of such systems. Increasingly, this also involves using machine learning to both predict and improve the performance of systems and investigating the use of learning to replace core components in systems.
Latest news in systems and networking
Bertsekas’s research spanned, and had a major influence upon, several fields, including optimization, control, large-scale computation, reinforcement learning, and artificial intelligence.
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
Wireless sensing technologies from the Signal Kinetics group are now deployed in hospitals, homes, and retail environments worldwide.
The “MetaEase” technique provides a heads-up to potential scenarios that could cause long wait-times or outages.
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