Jesús Gómez-Gardeñes

Jesús Gómez-Gardeñes is a Spanish physicist, currently Full Professor (Professor Catedrático) in Condensed Matter Physics at the University of Zaragoza (Spain).[1] He is known for his works on complex systems, in particular on the structure and dynamics of complex networks.

Jesús Gómez-Gardeñes
Born
Spain
NationalitySpanish
Alma materUniversity of Zaragoza (Ph.D)
OccupationPhysicist

Academic career

Gomez-Gardeñes received a PhD in physics from the University of Zaragoza in Spain, with a thesis entitled "Complex Systems: Nonlinearity and Structural Complexity in spatially extended and discrete systems.” After completing his PhD, he conducted postdoctoral research first at the Scuola Superiore di Catania (Italy) in the group of Vito Latora, and then in the group of Alex Arenas at the University Rovira i Virgili (Spain). After his postdoctoral period, he joined in 2009 the University Rey Juan Carlos in Madrid as Lecturer, before returning in 2011 to his alma mater as a Ramón y Cajal fellow. Between 2019 and 2022 Jesús Gómez-Gardeñes was Associate Professor (Professor Titular), whereas since 2023 he is Full Professor (Professor Catedrático) in Condensed Matter Physics. He leads the Group Of Theoretical and Applied Modeling (GOTHAM lab) at the Institute of Biocomputation and Physics of Complex Systems.

As of July 2020, he is author of more than 120 scientific articles published in peer-reviewed journals. His h-index is equal to 51 according to Google Scholar.[2] His work has been featured in many venues,[3][4][5][6][7][8][9][10][11] including being highlighted on the cover of journals like Nature Human Behaviour (issue of February 2017[12]), and Nature Physics (issue of January 2018[13]) for two works that were selected among the most relevant published by the journal Nature[14] during the first 20 years of network science.

Research

After some initial work in the field of theoretical condensed matter physics, the scientific contributions of Gómez-Gardeñes have focused on the application of statistical physics methods to the study of complex systems, making him one of the major contributors in the network science's area of study. Within the latter, he has developed several approaches to investigate the structure and dynamics of networks, in particular to multidimensional networks. His contributions span a wide range of disciplines ranging from mathematical epidemiology, synchronization, and social science.

Gómez-Gardeñes is well known for his works on the mathematical formulation of multi-scale metapopulation models to integrate human mobility and interaction data on realistic epidemiological frameworks. More specifically, he has studied the spatio-temporal evolution of epidemics, and the evaluation of contention measures.[4][5][6] Such a method has been applied to analyze the diffusion of endemic diseases such as the Dengue fever in Colombia, as well as the diffusion of emergent diseases such as COVID-19 in Spain[9][15][16][17] and Colombia.[18]

Within the domain of social science, Gómez-Gardeñes is known for his studies on evolutionary game theory and human cooperation[19] and, in particular, for the use of network science tools to analyze human populations, going from large cities[2][3] to small hunter-gatherers societies.[20] Finally, he is also known in the field of synchronization theory where he has introduced several approaches to characterize the transition towards dynamical coherence in the Kuramoto model. In particular, his main achievements include the identification of the mechanism to obtain explosive synchronization transitions in populations of oscillators whose interactions are encoded as a network; and the generalization of the Master Stability Function to the case of interactions encoded as multiplex networks.

Awards and achievements

In 2007, Gómez-Gardeñes was awarded with the Investigador Novel Prize by the Spanish Royal Physics Society[21] for his works on the structure and dynamics of complex networks.

Gómez-Gardeñes has been visiting researcher at the Los Alamos National Laboratory in New Mexico (USA), Weizmann Institute of Science (Israel), distinguished visiting professor of the National Council for Scientific and Technological Development (CNPq) in Brazil, and distinguished visitor of the Scottish Universities Physics Alliance[22] (SUPA). In 2019, Gómez-Gardeñes was appointed as Fellow of the Institute for Computational Social Science[23] of the University of Kobe (Japan).

He is chair and founder of the Latin American Conference of Complex Networks[24] (LANET), an international conference aimed at spurring the field of network science in the Latin American community. Moreover, he serves since 2013 as associated editor of the Journal of Complex Networks (Oxford University Press),[25] and also as a member of the editorial board of Journal of Physics: Complexity,[26] a scientific journal published by the Institute of Physics.

References
  1. Jesus Gómez-Gardeñes profile on University of Zaragoza personnel page. Retrieved May 17, 2023.
  2. Jesus Gómez-Gardeñes profile on Google Scholar. Retrieved August 02, 2020.
  3. Major commuting differences between rich and poor in Colombia. Phys.Org (American institute of Physics, October 20, 2016). Retrieved August 02, 2020.
  4. Visualizing the Brutal Commutes of Colombian poorest.. Bloomberg Citylab (October 19, 2016). Retrieved August 02, 2020.
  5. First Mathematical model explain how things go viral. Phys.Org (American institute of Physics, February 26, 2016). Retrieved August 02, 2020.
  6. Mobility patterns influence the spread and containment of an epidemic. Science Daily (January 18, 2018). Retrieved August 02, 2020.
  7. Don't close the gates. Nature Physics (January 1, 2018). Retrieved August 02, 2020.
  8. Social Determinants of Epidemic Growth. Physics (American Physical Society, August 9, 2018). Retrieved August 02, 2020.
  9. Fake animal news abounds on social media as coronavirus upends life. National Geographic (March 20, 2020). Retrieved August 02, 2020.
  10. Brexit's and research networks: Lower efficiency, reorganization of research communities. Phys.Org (American Institute of Physics, June 23, 2020). Retrieved August 02, 2020.
  11. Forecasting COVID-19 trajectory. Physics (American Physical Society, March 23, 2020). Retrieved August 02, 2020.
  12. Nature Human Behaviour Vol. 1, issue 2, February 2017. Table of contents. Retrieved August 02, 2020.
  13. Nature Physics Vol. 14, issue 1, January 2018. Table of contents. Retrieved August 02, 2020.
  14. Nature Collection: Networks (December 19, 2019). Table of contents. Retrieved August 02, 2020.
  15. Los tres métodos matemáticos que están salvando vidas frente al coronavirus. ABC (April 7, 2020). Retrieved August 02, 2020.
  16. Un grupo de 70 científicos españoles reclama medidas más duras para evitar que el sistema sanitario colapse. ElDiario.es (March 22, 2020). Retrieved August 02, 2020.
  17. Este mapa calcula el riesgo epidémico del coronavirus hasta el 18 de marzo. National Geographic Spain (March 23, 2020). Retrieved August 02, 2020.
  18. COVID-19: Investigadores estudian nuevo modelo matemático para la detección del virus. Colombia.com (April 23, 2020). Retrieved August 02, 2020.
  19. Envious’ May Just Be The Most Common Personality Type. Huffington Post (September 15, 2016). Retrieved August 02, 2020.
  20. El juego, clave en los lazos de amistad de los niños. El Pais (August 25, 2017). Retrieved August 02, 2020
  21. Galardonados con el Premio Investigador Novel de la Real Sociedad Española de Física. Retrieved August 02, 2020.
  22. Scottish Universities Physics Alliance. Retrieved August 02, 2020.
  23. Center for Computational Social Science Kobe University. Retrieved August 02, 2020.
  24. LANET conference homepage. Retrieved August 02, 2020.
  25. Journal of Complex Networks -- Editorial board. Retrieved August 02, 2020.
  26. Journal of Physics: Complexity -- Editorial board. Retrieved August 02, 2020.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.