Víctor Leiva Profesor Titular Escuela de Ingeniería Industrial Facultad de Ingeniería Pontificia Universidad Católica de Valparaíso (PUCV) Avenida Brasil 2241 Oficina IBC-5-21, quinto piso 2362807 Valparaíso CHILE Phone: (56)(32)2273714 Email: victorleivasanchez@gmail.com

Cargos editoriales y académicos y principales premios:

• Senior elected member del IEEE.
• Elected member del ISI (International Statistical Institute).
• Awarded by Research.com as "Top One 2022" in the ranking of the best scientists in mathematics and statistics in Chile and Hispanic America.
• Awarded by Research.com as "Top One 2023" in the ranking of the best scientists in mathematics and statistics in Chile and Hispanic America.
• Awarded by Research.com as "Top One 2024" in the ranking of the best scientists in mathematics and statistics in Chile and Hispanic America.
• Miembro del Award Selection Committee (formado por profesores de Australia, Chile, Korea, Norway, UK y USA) para The Karl Pearson Prize 2013, of Contemporary Research Contribution, otorgado por el International Statistical Institute, y considerado con el Premio Nobel en Statistics
• Premiado como el "Educador del Año 2012" en América Latina, Brasil, España y Portugal con el premio "Juarez-Lincoln-Marti" otorgado desde EE.UU.
• Editor-in-Chief of Chilean Journal of Statistics.
• Editor Consultivo de Stochastic Environmental Research and Risk Assessment (by Springer).
• Editor Asociado de Journal of Multivariate Analysis (by Elsevier).
• Editor Asociado de Applied Stochastic Models in Business and Industry (Wiley).
• Editor Asociado de Biometrical Letters (De Gruyter)
• Editor Asociado de Brazilian Journal of Probability and Statistics (the Institute of Mathematical Statistics)
• Editor Asociado de Colombian Journal of Statistics (National University of Colombia).
• Editor Asociado de Communications in Statistics - Theory and Methods (Taylor & Francis).
• Editor Asociado de Communications in Statistics - Simulation and Computation (Taylor & Francis).
• Editor Asociado de Computational Statistics and Data Analysis (Elsevier).
• Editor Asociado de Journal of Applied Statistics (Taylor & Francis).
• Editor Asociado de Journal of Statistical Computation and Simulation (Taylor & Francis).
• Editor Asociado de Pakistan Journal of Statistics.
• Editor Asociado de REVSTAT Statistical Journal (the National Institute of Statistics, Portugal)
• Editor Asociado de Entre Ciencia e Ingeniería (UCP/Scopus).
• Fundador y Director anterior del programa internacional acreditado de doctorado en estadistica UV-Chile.
• Director anterior del Departamento de Estadistica UV-Chile.

Estudios principales:

• Doctor en ciencias matemáticas (especialidad en estadística e investigación de operaciones), Universidad de Granada, España, bajo la supervisión del Dr. José A. Díaz-García.
• Posdoctorado (en estadística para industria y negocios), McMaster University, Hamilton, Ontario, Canada, bajo la supervisión de Dr. N. Balakrishnan.

Áreas de interés (en orden alfabético):

• Advanced applied multivariate analysis.
• Artificial intelligence, deep learning, and machine learning.
• Big data, business intelligence, data mining, and data science.
• Global and local Influence diagnostics and goodness-of-fit methods.
• Multivariate and univariate non-normal distributions.
• Quality control and operational research.
• Statistical learning and modeling, spatial models, PLS regression, EM algorithm and stochastic processes.