13 Facts About Bernardo Huberman

Bernardo Huberman is a fellow and vice president of the Next-Gen Systems Team at CableLabs.

Bernardo Huberman is a consulting professor in the Department of Applied Physics and the Symbolic System Program at Stanford University.

Originally from Argentina, Huberman received his MS at the University of Buenos Aires, Argentina, in 1966.

Bernardo Huberman received his PhD in physics from the University of Pennsylvania in 1971.

Bernardo Huberman has worked as a visiting scientist at the Institut Laue-Langevin in Grenoble, France, and the Institute of Theoretical Physics, Hebrew University of Jerusalem.

Bernardo Huberman was a visiting professor at the University of Paris, the Ecole Normale Superieure, in Paris, France, the Niels Bohr Institute in Copenhagen, Denmark, and the European School of Business, INSEAD, in France.

Bernardo Huberman served as a trustee and secretary at the Aspen Center for Physics between 1980 and 1983.

Bernardo Huberman originally worked in condensed matter physics, ranging from superionic conductors to two-dimensional superfluids, and made contributions to the theory of critical phenomena in low-dimensional systems.

Bernardo Huberman was one of the discoverers of chaos in a number of physical systems, and established a number of universal properties in nonlinear dynamical systems.

Bernardo Huberman joined Xerox Corporation's Palo Alto Research Center, PARC, where, in the field of information sciences, he predicted the existence of phase transitions in large scale distributed systems, and developed an economics approach to the solution of hard computational problems.

Bernardo Huberman has authored or edited three books about the ecology of computation and the ecology of the web.

For several years, Dr Bernardo Huberman's research concentrated on the World Wide Web, with particular emphasis the dynamics of its growth and use.

Recently, Bernardo Huberman was the Director of the Mechanisms and Design Lab at Hewlett Packard Labs where his work centers on the design of novel mechanisms for discovering and aggregating information in distributed systems as well as understanding the dynamics of information in large networks.