News Release

UM College of Arts & Sciences assistant professor wins 2015 Erdos-Renyi Prize

Associate professor of physics Chaoming Song receives prize in network science at conference in Zaragoza, Spain

Grant and Award Announcement

University of Miami

Chaoming Song, University of Miami

image: Chaoming Song, assistant professor of physics at the University of Miami College of Arts & Sciences, has been selected as the winner of the 2015 Erdős–Rényi Prize in Network Science. view more 

Credit: Photo courtesy University of Miami College of Arts & Sciences

Coral Gables, Fla. (June 9, 2015) - Chaoming Song, assistant professor of physics at the University of Miami College of Arts & Sciences, has been selected as the winner of the 2015 Erdos-Renyi Prize in Network Science.

The Erdos-Renyi Prize, sponsored by the Network Science Society, is awarded to a young scientist (under 40 years old) for their achievements in research activities in the area of network science. An interdisciplinary academic field, network science studies complex networks such as computer, social, biological, and cognitive and semantic networks. The field pulls on theories and methods from mathematics, physics, statistics, computer science and sociology.

The 2015 awards ceremony and corresponding lecture took place during the NetSci 2015 conference in Zaragoza, Spain. Song was recognized for the breadth and depth of his influential work, ranging from network applications of self-similarity and renormalization group theory, to the in-depth analysis of big data on human mobility. From theory to applications, his work impacts a wide range of Network Science areas, developing outstanding theoretical and modeling works.

As a statistical physicist, Song's research lies in the intersection of statistical physics, network science, biological science, and computational social science, broadly exploring patterns behind petabytes of data. A native of Zhoushan, China, Song received his B.S. in Physics from Fudan University in China and both his M.S. and Ph.D. in Physics from City College of New York.

Song joined UM's Department of Physics in the fall of 2013, hired through the Complexity Initiative as a network and complex scientist.

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