Curriculum[Full CV PDF]

Summary

Jorge M. Cruz-Duarte is a Postdoctoral Researcher at the Equipe de Recherche Bonus, Centre Inria de l'Université de Lille (since 2025). He is a Level I member of the SECIHTI Mexican National System of Researchers, an IEEE Senior Member, and a member of the Mexican Academy on Computer Sciences (AMEXCOMP). Jorge chairs the IEEE Computational Intelligence Society's Task Force on Automated Algorithm Design, Configuration, and Selection (TFAADCS). He also participates actively as a reviewer for several scientific journals, including ASOC, SWEVO, ATE, IEEE Access, IEEE TEVC, and Mathematical Reviews.

Previously, Jorge was a Research Professor (2021–2024) in the Research Group on Advanced Artificial Intelligence at the Tecnológico de Monterrey (TEC). From 2019 to 2021, he was a Postdoctoral Researcher at the Research Group with Strategic Focus on Intelligent Systems at TEC, collaborating with the Chinese Academy of Sciences (CAS) to integrate Data Science and Optimisation. He earned his BSc and MSc degrees in Electronic Engineering from the Universidad Industrial de Santander (UIS) and his PhD in Electrical Engineering from the Universidad de Guanajuato (UGto). He was on a Short Research Stay at the University POLITEHNICA of Bucharest (UPB).

Experience

  • (January 2025 – Present)
    Postdoctoral Researcher at Centre Inria de l'Université de Lille, Lille, France.
  • (July 2021 – December 2024)
    Research Professor at Tecnológico de Monterrey, Monterrey, Mexico.
  • (June 2019 – June 2021)
    Postdoctoral Researcher at Tecnológico de Monterrey, Monterrey, Mexico.

Awards and Honours

  1. (2025-2027) Honour: IEEE Computer Society Distinguished Visitors, by IEEE Computer Society. [DV Program]
  2. (2024-Present) Honour: Chair of the IEEE CIS Task Force on Automatic Algorithm Design, Configuration, and Selection (AADCS), by IEEE Computational Intelligence Society. [TF-AADCS]
  3. (2023-Present) Award: IEEE Senior Member, by IEEE.
  4. (2021) Award: Intellectual Vitality, Service and Leadership, and Special Projects, by Tecnológico de Monterrey.
  5. (2019-2029) Award: National Researcher Level 1, by CONACyT/CONAHCyT/SECIHTI.
  6. (2018) Honour: Ph.D. with Summa Cum Laude, by Universidad de Guanajuato.

Projects

  1. (June 2019 – June 2021) Synergistic Integration of Data Science and Optimisation for Tailoring Meta-heuristics to Solve Continuous Problems, Tecnológico de Monterrey and Chinese Academy of Sciences.
  2. (2019 – 2023) Feature transformation for improving characterisation of combinatorial optimisation problems, CONACyT.

Education

  1. (Dec. 2018) Doctor of Philosophy in Electrical Engineering, Universidad de Guanajuato, Salamanca, México.
  2. (Jun. 2015) Master of Science in Electronic Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia.
  3. (Apr. 2025) Master in Digital Project Management, Inesdi Business Techschool, Barcelona, Spain.
  4. (Dec. 2012) Bachelor of Science in Electronic Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia.

Advising

  • (2022 – present) One PhD Student, Tecnológico de Monterrey (México), Computer Sciences Programme.
  • (2021 – 2024) Three MSc Students, Tecnológico de Monterrey (México), Computer Sciences Programme.
  • (2018 & 2020) Two MSc Students, Universidad de Guanajuato (México), Electrical Engineering Programme.
  • (2013, 2015 & 2016) Four BSc Students, Universidad Industrial de Santander (Colombia), Electronic Engineering Programme.

Certifications

  1. Data Science Foundations. 2022 — IBM
  2. Data Science Methodologies. 2022 — IBM
  3. Data Science Tools. 2022 — IBM
  4. Multi-agent Systems and Computational Graphics (CADi). 2021 — Tecnológico de Monterrey
  5. Grammar and Punctuation. 2021 — University of California, Irvine
  6. Learning Regular Expressions. 2021 — LinkedIn Learning
  7. Python Data Analysis. 2021 — LinkedIn Learning
  8. Data Visualization: Best Practices & Storytelling. 2021 — LinkedIn Learning
  9. Data Visualization Tips and Tricks. 2021 — National Association of State Boards of Accountancy (NASBA)
  10. Technology and Knowledge Transfer Training. 2014 — University of Oxford / ISIS Innovation
  11. Asynchronous Hybrid and Heterogeneous Parallel Programming with MPI/OmpSs. 2013 — Barcelona Supercomputing Center

Skills

  • Programming Languages: Python, Matlab/Octave, LaTeX, R, C/C++, C#, Javascript
  • Frameworks and Tools: Azure, Watson, Tensorflow, PyCharm, DataSpell, Spyder, Pandas, NumPy, Keras, SciPy, ScikitLearn, Matplotlib, Seaborn, MS Office, Git, Github, COMSOL, SPICE, Inventor, Inkscape, Affinity Designer, Lava NC, Unity, MPLAB, VS Code, VIM, Bash
  • Data Base: SQL, NOSQL, MongoDB, Cassandra
  • Human Languages: English (Fluent), French (Intermediate), Spanish (Native)
Jorge Cruz