PeopleofSuperintelligence

Researcher

El-Ghazali Talbi

Also known as El‐Ghazali Talbi

El-Ghazali Talbi is a computer scientist whose research connects metaheuristics with parallel and multiobjective optimization and machine learning. He worked in Grenoble and Lille, earned a computer-science doctorate at INPG in 1993, and joined Lille 1 as an associate professor in 1994. At Lille, he became a professor in 2001 and led optimization teams; his publications range from a 2002 taxonomy and a 2009 book on metaheuristics to a 2016 study of machine-learning hybrids and 2025 work on neuromorphic optimization. He was named a senior member of the Institut universitaire de France in 2026 and is a professor of computer science at Université de Lille as of October 2026.

Born
1965
Badges

Years link to their sources.

Timeline

  1. 1989–1993

    Research and doctoral study

    He works as a contract researcher at Grenoble's Laboratoire de Génie Informatique / IMAGrenoble from 1989 to 1992. He earns a DEA in computer science at ENSIMAG/INPG in 1989 and a PhD in computer science at INPG in 1993, advised by T. Muntean.

  2. 1992–2001

    From Grenoble to Lille

    He serves as an ATER at Université Grenoble II from 1992 to 1994, then joins Université Lille 1's UFR IEEA as a maître de conférences (associate professor) in 1994 and holds the post through 2001.

  3. 1998–2017

    Professor and optimization leader

    He leads the OPAC/DOLPHIN team at LIFL and CRISTAL from 1998 to 2017, becomes a full professor at Université de Lille in 2001, and leads Inria's DOLPHIN project team from 2004 to 2017. His research spans metaheuristics, parallel algorithms and multiobjective optimization.

  4. 2002

    A taxonomy of hybrid metaheuristics

    In 2002, he publishes "A Taxonomy of Hybrid Metaheuristics," a classification of hybrid metaheuristics.

  5. 2009

    Metaheuristics: from design to implementation

    He publishes Metaheuristics: From Design to Implementation in 2009, a book on designing and implementing metaheuristic algorithms.

  6. 2016–2025

    Machine learning and neuromorphic optimization

    In 2016, he surveys ways to combine metaheuristics with mathematical programming, constraint programming and machine learning. In 2025, he examines neuromorphic computing as a basis for low-power, low-latency metaheuristics.

  7. 2026

    A senior IUF membership

    From October 2026, he serves as a senior member of the Institut universitaire de France under its fundamental chair for a five-year term.

  8. As of October 2026

    Professor at Université de Lille

    As of October 2026, he is a professor of computer science at Université de Lille, with UMR 9189, the Centre de Recherche en Informatique, Signal et Automatique de Lille, as his research unit.

Career

  1. Since 1998Université de LilleTeam Leader, Professor of Computer Science
  2. 2004–2017InriaTeam Leader
  3. 1998–2017OPAC/DOLPHIN teamTeam Leader
  4. 1994–2017Université Lille 1Maître de conférences (Associate Professor), Team Leader
  5. 1992–1994University of Grenoble IIATER
  6. 1989–1992Laboratoire de Génie Informatique / IMAGrenobleContract Researcher

Education

  1. 1993Institut polytechnique de GrenoblePhD in Computer Science
  2. 1989Institut polytechnique de GrenobleDEA in Computer Science

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Université de Lille. 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.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Université de Lille. 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.
  3. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes Inria. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  4. Google has the highest combined h-index among AI organizationsIncludes Inria. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Parcours - El-Ghazali TALBI - Université de Lille pro.univ-lille.fr. Checked 21 October 2026.
  2. El-Ghazali Talbi - Biography cristal.univ-lille.fr. Checked 21 October 2026.
  3. El-Ghazali Talbi - Journal cristal.univ-lille.fr. Checked 21 October 2026.
  4. El-Ghazali Talbi - Books cristal.univ-lille.fr. Checked 21 October 2026.
  5. Combining metaheuristics with mathematical programming, constraint programming and machine learning ideas.repec.org. Checked 21 October 2026.
  6. Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms arxiv.org. Checked 21 October 2026.
  7. 7 chercheurs de l'université lauréats de l'IUF - Newsroom de l'Université de Lille newsroom.univ-lille.fr. Checked 21 October 2026.
  8. El-Ghazali TALBI - Université de Lille pro.univ-lille.fr. Checked 21 October 2026.