Professor of Computing and Mathematical Sciences; Executive Officer for Computing and Mathematical Sciences; Director, Information Science and Technology
Degrees and Appointments
B.S., Carnegie Mellon University, 2001; M.S., 2004; Ph.D., 2007. Assistant Professor, Caltech, 2007-12; Professor, 2012-; Executive Officer, 2015-; Associate Director, 2015-16; Director, 2016-.
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Adam Wierman's research interests center around resource allocation and scheduling decisions in computer systems and services. More specifically, his work focuses both on developing analytic techniques in stochastic modeling, optimization, machine learning, and game theory, and applying these techniques to application domains such as energy-efficient computing, the cloud, the smart grid, and social networks.
List of Research Areas
energy efficient computing, scheduling and resource allocation, cloud computing, network economics, game theory, social networks, the smart grid
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