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Carlos Gershenson
Mexican researcher From Wikipedia, the free encyclopedia
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Carlos Gershenson (born September 29, 1978) is a SUNY Emprire Innovation Professor at Binghamton University [5] and president of the Complex Systems Society (2024–2027). He was a tenured professor at the Universidad Nacional Autónoma de México (UNAM). His academic interests include self-organizing systems, complexity, and artificial life.
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Biography
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Gershenson was born 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.[6] 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.[5]
He is a SUNY Empire Innovation Professor at the Systems Science and Industrial Engineering Department in Binghamton University. He was a research professor (investigador) at the Computer Science Department of the Instituto de Investigaciones en Matemáticas Applicadas y en Sistemas (IIMAS) at the Universidad Nacional Autónoma de México from 2008 to 2023, where he was the head of the Computer Science Department from 2012 to 2015.[7]
He was also a visiting professor at the Santa Fe Institute, Massachusetts Institute of Technology, and Northeastern University and has also been editor-in-chief of Complexity Digest since 2009. He has been a member of the board of advisers at Scientific American.[8]
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Work and research
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His work has been related to the understanding and popularization of topics of complex systems, in particular, related to Boolean networks, self-organization and traffic control. He has deployed his systems in the real world to change traffic patterns in Latin America.[9]
Self-organizing systems
During his PhD, Gershenson proposed heuristics to design and control self-organizing systems.[10] 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.[11] 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,[12] organization efficiency,[13] and communication protocols.[14]
He has also explored 'self-organizing traffic lights'[15] and also applied self-organization to public transport regulation[16][17] and other urban systems.[18] Together with Gustavo Carreón, Tania Pérez, Jorge Zapotecatl, and Luis Pineda, he developed the #Metrevolución project,[19] which managed to coordinate boarding and descent of passengers in the Mexico City metro.
Random Boolean networks
During his MSc studies, Gershenson proposed a naming convention for random Boolean networks depending on their updating scheme.[20]
He has also studied the effect of redundancy[21] and modularity[22] on random Boolean networks.
Conference organization
He was co-chair of ALIFE XV, the international Artificial Life conference, held in Cancun, Mexico, in 2016.[23]
Gershenson also co-chaired together with Jose Luis Mateos the Conference on Complex Systems 2017, held for the first time in Latin America in Cancun.[24]
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References
External links
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