Dr. Gilberto Espinosa Paredes is a Mexican scientist specializing in nuclear engineering and thermal-hydraulics. He has served as a Full Professor at the Universidad Autónoma Metropolitana Unidad Iztapalapa since 1999. Throughout his career, he has driven emerging academic initiatives—such as the Quantum Information and Technologies project—alongside applied and frontier inter-institutional research projects, continuing education, and innovation.

Distinguished as an Investigator Emeritus of the Sistema Nacional de Investigadoras e Investigadores (SNII, 2027), he is a member of Mexico's most prominent scientific organizations, including the Engineering Academy of Mexico, the Mexican Academy of Sciences, and the Mexican Nuclear Society.

He serves as the Editor of Nuclear Safety and Security and has a distinguished track record as a guest editor for high-impact international journals. Notably, he has coordinated special issues for Science and Technology of Nuclear Installations (2011) and Nuclear Engineering and Design (2023, 2025), focusing on the dissemination of key research in severe accidents, nuclear fission technology, and lead-cooled fast reactors. Furthermore, he maintains ongoing collaborations with various editorial boards within the discipline.

He has authored more than 230 publications in the fields of nuclear energy, geoenergy, and applied mathematics. Additionally, he has published 10 monographs, among which Fractional-Order Models for Nuclear Reactor Analysis (published by Elsevier) stands out. His innovation work includes two registered patents: one designed for measuring rheological properties between two immiscible fluids, and another aimed at estimating mass flow in natural convection nuclear reactors.

Dr. Espinosa Paredes has collaborated on several high-impact technological projects, including the development of the Laguna Verde Nuclear Power Plant (LVNPP) Simulator for Operator Training, the LVNPP Extended Power Uprate project, and the AZTLAN Multi-Institutional Platform for nuclear reactor analysis and design. Moreover, alongside Dr. Alfonso Prieto, he co-developed an innovative predictive algorithm for instabilities in BWR reactors that outperforms conventional methods in anticipation time, a contribution for which they were honored with the Best Paper Award at the international conference NUTHOS-10 (Okinawa, Japan, 2014).

In human resource development, he has advised 14 Ph.D. dissertations, 14 Master’s theses, two Bachelor’s theses, and 47 capstone projects. Out of these works, four received national awards (two Ph.D. dissertations, one Master’s thesis, and one capstone project). Additionally, he has supervised three postdoctoral researchers. Dr. Espinosa Paredes is widely recognized as an international expert in the development and application of mathematical models for nuclear reactor analysis.