Amin Karbasi Selected for National Academy of Engineering Symposium

Amin Karbasi, assistant professor of electrical engineering & computer science, has been selected by the National Academy of Engineering (NAE) to participate in this year’s U.S. Frontiers of Engineering Symposium.

Karbasi, who has been with Yale since 2014, is one of 83 engineers between the age of 30 and 45 to take part in the NAE’s 22nd annual symposium. The the two-and-a-half-day event will feature participants from industry, academia, and government who were nominated by organizations or their fellow engineers.

The symposium will be held on September 19-21 in Irvine, Calif., and will cover cutting-edge developments in four areas: technologies for understanding and treating cancer, pixels at scale, water desalination and purification, and extreme engineering.

Karbasi’s research focuses on learning theory, large-scale networks, optimum information processing, high dimensional statistics, information theory, graphical models.

At the Yale Institute for Network Science, he leads the Inference, Information and Decision Systems Group. He describes the research in I.I.D. as being at the intersection of learning theory, large-scale networks, and optimum information processing. There, the researchers devise new algorithms, build models, analyze the behavior of large and complex networks, and develop systems that can automatically acquire and reason about highly uncertain information. Application domains include interactive recommender systems, social and neural networks, and optimal experimental design.