LIDS research ranges from development of basic theory, methodologies, algorithms, and computational infrastructures to adaptations of this work for challenging applications in a broad array of fields.
LIDS research is typically cross-cutting, usually involving a combination of problems and tools within the following core areas:
- Statistical Inference and Machine Learning
- Optimization and Game Theory
- Systems Theory, Control, and Autonomy
- Networks – from Communications to Social Networks
LIDS research builds on the knowledge base in these areas; and more importantly, plays a key role in identifying novel directions and advancing the state of the art in each of them. At the same time,
Research in LIDS addresses and is driven by broad challenges, emerging applications, critical needs, and intellectual opportunities for technological advances.
Most of the research activities in LIDS cut across disciplinary boundaries and involve collaboration with colleagues across MIT. LIDS collaborations also extend beyond MIT. In addition to partnering with colleagues at other top academic institutions around the world, we continue to develop relationships with industrial organizations and national laboratories including: Draper Laboratory, Lincoln Laboratory, NASA Jet Propulsion Laboratory (JPL), MIT-IBM Watson AI Lab, IBM, SES, Accenture, and others.