Carlos Gershenson
| Carlos Gershenson | |
|---|---|
| Born |
29 September 1978 Mexico City, Mexico |
| Nationality | Mexican |
| Fields | Complex systems, Computer science |
| Institutions | Universidad Nacional Autónoma de México, ITMO University Free University of Brussels |
| Doctoral advisor | Francis Heylighen, Diederik Aerts, Bart D'Hooghe |
| Other academic advisors | José Negrete Martínez, Inman Harvey, Yaneer Bar-Yam |
| Known for | Research on Self-Organization, Complexity Digest |
| Influences | William Ross Ashby, Francisco Varela, Stuart Kauffman |
| Influenced | Tom Froese |
| Notable awards | Team Mexico City, Audi Urban Future Award 2014, Google Research Award for Latin America 2015 (among other 12 winning teams) |
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Website http://turing.iimas.unam.mx/~cgg/ |
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Carlos Gershenson (born September 29, 1978) is a Mexican researcher at the Universidad Nacional Autónoma de México. His academic interests include self-organizing systems, complexity, and artificial life.
Gershenson was born September 29, 1978 in Mexico City. He studied a BEng in Computer Engineering at the Arturo Rosenblueth Foundation in Mexico City in 2001 and a MSc in Evolutionary and Adaptive Systems at the University of Sussex. He received his PhD at the Centrum Leo Apostel of the Vrije Universiteit Brussel, Belgium in 2007, on "Design and Control of Self-organizing Systems", under the supervision of Francis Heylighen. He was a postdoc with Yaneer Bar-Yam at the New England Complex Systems Institute.
He is a researcher (investigador) at the Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) at the Universidad Nacional Autónoma de México. He was the head the Computer Science Department from 2012 to 2015.
He was also a visiting professor at the Massachusetts Institute of Technology and at Northeastern University during a sabbatical year and has also been editor-in-chief of Complexity Digest since 2009.
The work of Carlos Gershenson has been related to the understanding and popularization of topics of complex systems, in particular, related to Boolean networks, self-organization and traffic control.
During his PhD, Gershenson proposed heuristics to design and control self-organizing systems. He noticed that self-organization cannot be judged independently of a context, i.e., it is not so relevant to decide whether a system is or not self-organizing, but when is it useful to do so. The usefulness of self-organization lies in the fact that it can provide robust adaptation to changes in a system. As particular cases, he studied the problems of traffic light coordination, organization efficiency, and communication protocols.
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