Eduardo De la Vega Segura

SNII Level: Candidate

Dr. Eduardo de la Vega Segura has an outstanding academic, scientific, and leadership track record within the National Autonomous University of Mexico ( Universidad Panamericana) system, where he has been working since 1990.
Since March 2025, he has served as Dean of the School of Engineering at the National Autonomous University of Mexico ( Universidad Panamericana ), as well as Director of the Aerospace Laboratory on the Mixcoac campus.

He holds a Ph.D. in Engineering from the National Autonomous University of Mexico ( Universidad Panamericana), where he graduated with honors; a Master of Science with a specialization in Operations Research from the National Autonomous University of Mexico (UNAM); and a degree in Industrial Engineering from the National Institute of Technology ( Universidad Panamericana ), Mexico City campus, also with honors. He rounds out his profile with training in the humanities and strategy, supported by a specialization in Anthropology and Ethics, as well as IPADE’s D1, ADiT (Technological Innovation), and ADEA (Agri-Food Industry) executive management programs.

He has held key positions such as Deputy Director of the Office of the President and Director of the School of Engineering at the Aguascalientes campus, as well as Director of UPLabs. He has developed degree programs in Artificial Intelligence Engineering, Mechatronics, Innovation and Design, and Energy Technologies; he has also promoted internationalization by forging partnerships with institutions in Japan, Germany, Italy, and Central America. Notably, he has fostered talent by leading the university’s robotics teams for more than 15 years, positioning them among the top 5 in the world rankings, and as the creator of the “Nanomaster” academic concept.

As a member of the National System of Researchers (SNII), Dr. de la Vega has developed technology for the agricultural industry that makes weeding tasks less physically demanding, and for the automotive industry that enables more effective testing of safety systems in crash scenarios. His interest in mathematical modeling focuses on the use of fractional calculus for data modeling and the solution of highly nonlinear mathematical models.

  • Engineering Applications in Agriculture
  • Applications of Fractional Calculus in Engineering
  • Mathematical Modeling of Complex Systems