School of Humanities and Sciences
Showing 191-196 of 196 Results
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Leonard Susskind
Felix Bloch Professor of Physics
BioLeonard Susskind is the Felix Bloch professor of Theoretical physics at Stanford University. His research interests include string theory, quantum field theory, quantum statistical mechanics and quantum cosmology. He is a member of the National Academy of Sciences of the USA, and the American Academy of Arts and Sciences, an associate member of the faculty of Canada's Perimeter Institute for Theoretical Physics, and a distinguished professor of the Korea Institute for Advanced Study.
Susskind is widely regarded as one of the fathers of string theory, having, with Yoichiro Nambu and Holger Bech Nielsen, independently introduced the idea that particles could in fact be states of excitation of a relativistic string. He was the first to introduce the idea of the string theory landscape in 2003. -
Yuri Suzuki
Stanley G. Wojcicki Professor, Professor of Applied Physics, and by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsHer interests are focused on novel ground states and functional properties in condensed matter systems synthesized via atomically precise thin film deposition techniques with a recent emphasis has been on highly correlated electronic systems:
• Emergent interfacial electronic & magnetic phenomena through complex oxide heteroepitaxy
• Low dimensional electron gas systems
• Spin current generation, propagation and control in complex oxide-based ferromagnets
• Multifunctional behavior in complex oxide thin films and heterostructures -
Paul Switzer
Professor of Statistics and of Environmental Earth System Science, Emeritus
BioDr. Switzer's research interests are in the development of statistical tools for the environmental sciences. Recent research has focused on the interpretation of environmental monitoring data, design of monitoring networks, detection of time trends in environmental and climatic paramenters, modeling of human exposure to pollutants, statistical evaluation of numerical climate models and error estimation for spatial mapping.
