Optimization and Game Theory

    Research in this area focuses on developing efficient and scalable algorithms for solving large scale optimization problems in engineering, data science and machine learning. Our work also studies optimal decision making in networked settings, including communication networks, energy systems and social networks. The multi-agent nature of many of these systems also has led to several research activities that rely on game-theoretic approaches.

    Latest news in optimization and game theory

    Sixteen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.

    The Department of Electrical Engineering and Computer Science (EECS) is proud to announce the following promotions: Adam Belay is being promoted to Associate Professor Without Tenure, effective July

    The 2021-22 Accenture Fellows are bolstering research and igniting ideas to help transform global business.

    It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by

    The National Science Foundation (NSF) announced today an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these,

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