PeopleofSuperintelligence

Researcher

Patrick Siarry

Patrick Siarry is a French engineer and computer scientist who works on metaheuristic optimization, including simulated annealing, evolutionary algorithms, artificial ants and particle swarms, with applications in image processing and the learning of neural networks. Born in France in 1952, he graduated from Supélec in 1977, earned a PhD in computer science and optimization at University Paris VI in 1986, and received his habilitation from University Paris XI in 1994. A professor at Université Paris-Est Créteil since 1995, he coordinated the Springer book Metaheuristics for Hard Optimization in 2005, edited Optimization in Signal and Image Processing in 2009, and directed the French volume Métaheuristiques in 2014. In 2009, he was guest editor of a special issue of Engineering Applications of Artificial Intelligence on metaheuristics, and in 2020 he was a keynote speaker at IRASET in Meknes, Morocco. He is a professor emeritus at Université Paris-Est Créteil.

Now at
Paris-Est Créteil University
Badges

Timeline

  1. 1977–1986

    Supélec engineer, Paris VI PhD

    Born in France in 1952, he graduates as an engineer from the École Supérieure d'Électricité (Supélec) in 1977. He first works on analog and digital models of nuclear power plants at Électricité de France, and he earns a PhD in computer science and optimization at University Paris VI in 1986.

  2. 1994–1995

    Habilitation and a professorship

    He receives the Doctor of Sciences (Habilitation) degree in computer science and optimization from University Paris XI, Orsay, in 1994. From 1995, he is a professor of automatics and informatics at Université Paris-Est Créteil.

  3. December 2005

    Metaheuristics for hard optimization

    Springer publishes Metaheuristics for Hard Optimization in December 2005, a book coordinated by Siarry with Johann Dréo, Alain Pétrowski and Eric Taillard. It presents simulated annealing, tabu search, evolutionary and genetic algorithms and ant colony algorithms, then closes with case studies in telecommunications, air traffic control and vehicle routing.

  4. 2009

    Optimization in signal and image processing

    He edits Optimization in Signal and Image Processing, published by ISTE and Wiley in 2009, which covers artificial evolution, Bayesian and Markovian approaches and metaheuristics such as genetic algorithms, ant colony algorithms and particle swarm optimization. In 2009, he is also guest editor of a special issue of Engineering Applications of Artificial Intelligence on advances in metaheuristics for hard optimization, planned for publication in March 2010.

  5. March 2014

    Directing the book Métaheuristiques

    Eyrolles publishes Métaheuristiques in March 2014, a 524-page volume that he directs. It presents simulated annealing, tabu search, variable neighbourhood search, GRASP, evolutionary algorithms, artificial ants and particle swarms, with contributions from Jean-Marc Alliot, Pierre Hansen, Christian Prins, Éric D. Taillard and others.

  6. March 2020

    Keynote at IRASET 2020

    In March 2020, he is a keynote speaker at IRASET 2020 in Meknes, Morocco, with a talk on adapting discrete metaheuristics to continuous optimization. He heads the Signal and Image Processing team of the Laboratory Images, Signals and Intelligent Systems (LISSI) at UPEC, whose methods have been applied to image processing, computer-aided design of electronic circuits, and the learning of fuzzy rule bases and neural networks.

  7. As of October 2026

    Professor emeritus at UPEC

    He is a professor emeritus at Université Paris-Est Créteil (UPEC), the university where he has been a professor since 1995.

Career

  1. Since 1995Paris-Est Créteil UniversityProfessor emeritus

Education

  1. 1994Université Paris-SudDoctor of Sciences (Habilitation)
  2. 1986Université Pierre-et-Marie-CuriePhD
  3. 1977SupélecEngineer

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Université Paris-Sud. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Université Paris-Sud. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Université Paris-Sud. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Université Pierre-et-Marie-Curie. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Sources and credits

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  1. Prof.(Dr.) Patrick Siarry | sai-university saiuniversity.edu.in. Checked 22 October 2026.
  2. IRASET 2020 iraset.org. Checked 22 October 2026.
  3. Parution d'un livre sur les m - Roadef roadef.org. Checked 22 October 2026.
  4. Optimisation in Signal and Image Processing by Siarry, Patrick: New Hardcover (2009) | Kennys Bookstore abebooks.com. Checked 22 October 2026.
  5. CFP_Special Issue of EAAI journal_Advances in metaheuristics - Roadef roadef.org. Checked 22 October 2026.
  6. Métaheuristiques - Recuits simulé, recherche avec tabous, recherche... - Librairie Eyrolles eyrolles.com. Checked 22 October 2026.
  7. Patrick SIARRY | TSG Conferences | International Conferences timesscientificgroup.com. Checked 22 October 2026.