Hamidou Tembine Explained

Hamidou Tembine
Birth Place:Orsongo, Dogon Country, West Africa (Mali)
Citizenship:French
Occupation:Game theorist, researcher
Awards:Next Einstein Fellow (2017)
Education:M.S. in Applied Mathematics
Ph.D. in Computer Science
Alma Mater:Ecole Polytechnique
University of Avignon
Doctoral Advisor:Eitan Altman and Rachid El-Azouzi
Workplaces:New York University
Ecole CentraleSupelec

Hamidou Tembine (born November 4, 1982, in Orsongo, Dogon Country, West Africa) is a French game theorist and researcher specializing in evolutionary games and co-opetitive mean-field-type games. He has been a Global Network Assistant Professor at New York University. He has been also the principal investigator and director of the Game Theory and Learning Laboratory (L&G Lab) at New York University.[1]

Tembine has written about 300 research articles, 5 books, and co-edited 3 books. His research is focused in the areas of auto-regulation, self-regulation, knowledge-based economy and variance minimization of tokens in emerging markets.[2]

Early life and education

Tembine received an M.S. in Applied Mathematics from École Polytechnique in Paris in 2006 and a Ph.D. in computer science from University of Avignon in 2009.[3] His thesis was entitled 'Population Games with Networking Applications' and was supervised by Eitan Altman and Rachid El-Azouzi.[4]

Career

In 2010, Tembine was appointed as Assistant Professor at Ecole Superieure d'Electricite, Supelec (now Ecole CentraleSupelec), France and taught there until 2013. In 2014, he joined the New York University as Global Network Assistant Professor. He is the principal investigator of the Learning and Game Theory Laboratory (L&G Lab) at NYU, NYC and Abu Dhabi campuses.[5]

Tembine has been the Associate Editor of IEEE Access, of Games, and of AIMS Electronic Engineering since 2017. He has been a game theory consultant, blockchain token economics advisor, senior research scientist at several companies since 2004.[1]

Work

As the director of L&G Lab, Tembine developed a risk engineering tool based on mean-field-type game theory. The tool was applied to engineering in the areas of multilevel building evacuation, smart energy systems, network security, transportation and mobility and blockchain token economics. The model was further applied to social sciences, user's empathy and psychology, deep strategy and deep learning.[6]

Tembine established equivalence between a class of multi-agent distributionally robust generative adversarial networks under various divergence notions and variance-aware distributionally robust games. Mean-field-type filters, which are filters that depend on the distribution of the state, were first proposed by L&G Lab members.[7] They provided explicit solutions to a class of mean-field-type games with non-linear state dynamics and or non-quadratic cost functions. The non-linearity includes trigonometric functions, hyperbolic functions, logarithmic functions and power (polynomial) cost functions.[8]

Tembine has worked on game theory with small, medium and large number of interacting agents. He also contributed to the design, analysis, and implementation of distributed strategic learning.[9] He has established relationships between the domains of strategic learning, evolutionary game dynamics and Kolmogorov forward equations (Markov jump processes). The results were applied to resource allocation problems, user's satisfaction problems, queue-aware power control and allocation problems.[10]

Tembine has participated in several projects in West Africa in the areas of informal economy,[11] knowledge-based economy and blockchain token economy.[12] He tested low-cost, self-configurable, solar-power equipment that requires less maintenance in several areas. His conclusion was to base the entire project on a significant participation of the local population. The evidence from these projects showed that when the involvement of the local population is high, the maintenance and the followup were better done by themselves. To improve efficiency, he suggested private portion of the field to be shared depending on the needs of the local population.[13] [14]

Awards and honors

Selected publications

Books

Articles

Notes and References

  1. Web site: Hamidou Tembine. 2019-08-16. 2019-08-16. https://web.archive.org/web/20190816065612/https://nyuad.nyu.edu/en/academics/divisions/engineering/faculty/hamidou-tembine.html. dead.
  2. Web site: Tembine Hamidou - Google Scholar.
  3. Web site: Next Einstein Forum - Hamidou Tembine.
  4. Web site: Population Games with Networking Applications.
  5. Web site: Learning and Game Theory Laboratory - People.
  6. Web site: Mean-Field-Type Game Theory I: Foundations and New Directions.
  7. Distributed Mean-Field-Type Filters for Traffic Networks. IEEE Transactions on Intelligent Transportation Systems. 20. 2. 507–521. 10.1109/TITS.2018.2816811. 2019. Gao. Jian. Tembine. Hamidou. 59554693.
  8. Web site: Semi-Explicit Solutions to some Non-Linear Non-Quadratic Mean-Field-Type Games: A Direct Method.
  9. Web site: Distributed Strategic Learning for Wireless Engineers.
  10. Risk-Sensitive Mean Field Games . 1210.2806. Tembine. Hamidou. Zhu. Quanyan. Basar. Tamer. 2012. math.OC .
  11. Book: Tembine, H. . Machine Intelligence in Africa en 20 questions . M. Modibo Bouare, Sidy Danioko, Mariam Dembele, Abdoulaye Banire Diallo, Boubacar Diallo, Abdoulaye Diarra, Bourama Doumbia, Ndeye Sissoko Molinier, Astou Nathalie Sidibe, Allahsera Auguste Tapo, Hamidou Tembine. . Sawa Editions, National Library of Mali . June 2023 . 9789995294069 . 1st . Mali . French.
  12. Web site: Poor infrastructure hinders Africa's efforts to achieve smart cities: experts. 2019-08-16. 2019-08-16. https://web.archive.org/web/20190816083435/http://www.xinhuanet.com/english/2018-03/28/c_137072645.htm. dead.
  13. Web site: VIDEO. Next Einstein Forum: Hamidou Tembine, les enjeux africains de la théorie des jeux. 30 March 2018 .
  14. Web site: 4 questions à Dr Hamidou Tembine, directeur du laboratoire d'apprentissage et de théorie de jeux à l'Université de New York. 2018-04-16.
  15. Web site: Meet Africa's best young scientists and technologists: Next Einstein Forum. 2017-09-13.

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