Man

Julio Cesar Lopez Luis

Profesor e investigador

Universidad Diego Portales

Santiago, Chile

Líneas de Investigación


conic optimization, interior-point algorithm, proximal-type algorithms, machine learning, pattern recognition.

Educación

  •  Ingeniería Matemática, Mención Modelación Matemátia, UNIVERSIDAD DE CHILE. Chile, 2009
  •  Ciencias, mención Matemáticas, Universidad Nacional de Trujillo. Chile, 2003
  •  Licenciado en Matetmáticas, Universidad Nacional de Trujillo. Chile, 2001

Experiencia Académica

  •   Profesor Part Time

    UNIVERSIDAD DE CHILE

    Ciencias Físicas y Matemáticas

    Santiago, Chile

    2008 - 2012

  •   Investigador Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Santiago, Chile

    2011 - 2012

  •   Profesor Asociado Full Time

    UNIVERSIDAD DIEGO PORTALES

    Ingeniería y Ciencias

    Santiago, Chile

    2012 - A la fecha

Experiencia Profesional

  •   Profesor e Investigador Full Time

    Universidad Diego Portales

    Santiago, Chile

    2012 - A la fecha

Formación de Capital Humano


*) Pedro Avila, Mathematical Engineer, Universidad de Santiago de Chile, 2018: “Formulaciones SVM con incertidumbre aplicados a las clasificación de datos desbalanceados”.


Premios y Distinciones

  •   The Charles Broyden Prize for the Best Paper

    Journal Optimization Methods and Software i

    Reino Unido, 2011

    The Charles Broyden Prize for the Best Paper published in Optimization Methods and Software in 2010.


 

Article (46)

Out-of-time cross-validation strategies for classification in the presence of dataset shift
Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression
Time-weighted fuzzy support vector machines for classification in changing environments
Profit-based churn prediction based on Minimax Probability Machines
Simultaneous Feature Selection and Heterogeneity Control for SVM Classification: An application on mental workload assessment
A feasible direction algorithm for nonlinear second-order cone programs
A new method for reliability analysis and reliability-based design optimization
An alternative SMOTE oversampling strategy for high-dimensional datasets
Epsilon-nonparallel support vector regression
Profit-based credit scoring based on robust optimization and feature selection
Regularized minimax probability machine
Robust nonparallel support vector machines via second-order cone programming
Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification
Double regularization methods for robust feature selection and SVM classification via DC programming
Double regularization methods for robust feature selection and SVM classification via DC programming
Ellipsoidal Support Vector Regression based on Second-order Cone Programming
Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies
Redefining nearest neighbor classification in high-dimensional settings
Robust twin support vector regression via second-order cone programming
A robust formulation for twin multiclass support vector machine
Application of the sequential parametric convex approximation method to the design of robust trusses
Construction of proximal distances over symmetric cones
Embedded heterogeneous feature selection for conjoint analysis=> A SVM approach using L1 penalty
Group-Penalized Feature Selection and Robust Twin SVM Classification via Second-order cone programming
Integrated framework for profit-based feature selection and SVM classification in credit scoring
Robust kernel-based multiclass support vector machines via second-order cone programming
Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines
Synchronized feature selection for Support Vector Machines with twin hyperplanes
A novel multi-class SVM model using second-order cone constraints
A second-order cone programming formulation for nonparallel hyperplane support vector machine
A second-order cone programming formulation for Twin Support Vector Machines
Interior proximal bundle algorithm with variable metric for nonsmooth convex symmetric cone programming
Multi-class Second-Order Cone Programming Support Vector Machines
Multi-class second-order cone programming support vector machines
A multi-class SVM approach based on the l(1)-norm minimization of the distances between the reduced convex hulls
An embedded feature selection approach for support vector classification via second-order cone programming
Robust feature selection for multiclass Support Vector Machines using second-order cone programming
A Note on the Paper Linear Complementarity Problems Over Symmetric Cones: Characterization of Qb-Transformations and Existence Results
Alternative second-order cone programming formulations for support vector classification
Imbalanced data classification using second-order cone programming support vector machines
Linear complementarity problems over symmetric cones: Characterization of Qb-transformations and existence results
Support vector machine under uncertainty: An application for hydroacoustic classification of fish-schools in Chile
Characterizing Q-linear transformations for semidefinite linear complementarity problems
Convergence to the Optimal Value for Barrier Methods Combined with Hessian Riemannian Gradient Flows and Generalized Proximal Algorithms
Interior proximal algorithm with variable metric for second-order cone programming: applications to structural optimization and support vector machines
ON THE CENTRAL PATHS AND CAUCHY TRAJECTORIES IN SEMIDEFINITE PROGRAMMING

Proyecto (7)

Improving out-of-time predictive performance in business analytics via robust optimization and profit metrics
Optimization methods applied to support vector machine classification
Numerical and theoretical study of conic complementarity problems. Applications to Robust Multiclass classification
Optimization algorithms for mathematical programing problems and engineering applications
Fortalecimiento del Grupo de An?alisis y Modelamiento Matem?atico Valpara??iso (AM2V)
Numerical Study of Proximal Type Algorithm for Convex Programming with Particular Structure and Analysis of Semide?nite Programs
Postdoctorado Fondecyt=> Numerical Algorithms for Nonsmooth Optimization and Variational Inequalities over Second Order Cone
35
Julio Lopez

Profesor e investigador

Universidad Diego Portales

Santiago, Chile

17
Sebastián Maldonado

Profesor Titular

Departamento Control de Gestión y Sistemas de Información

Universidad de Chile

Santiago, Chile

7
Miguel Carrasco

associate professor

facultad de Ingeniería y Ciencias Aplicadas

UNIVERSIDAD DE LOS ANDES, FACULTAD DE INGENIERÍA Y CIENCIAS APLICADAS

Santiago, Chile

6
Héctor Ramírez

Full Professor

Departamento de Ingeniería Matemática

Universidad de Chile

Santiago, Chile

2
Felipe Alvarez

Deputy Dean

UNIVERSIDAD DE CHILE. FACULTAD DE CIENCIAS FÍSICAS Y MATEMÁTICAS, DEPARTAMENTO DE INGENIERÍA MATEMÁTICA

Santiago, Chile

1
Richard Weber

Professor Titular

Ingeniería Industrial

Universidad de Chile

Santiago, Chile

1
Paul Bosch

Investigador Docente

Facultad de Ingeniería

Universidad del Desarrollo

Santiago, Chile

1
Rubén López

UNIVERSIDAD CATÓLICA DE LA SANTÍSIMA CONCEPCIÓN

Concepción, Chile

1
Ricardo Montoya

PROFESOR ASOCIADO

Administración

Pontificia Universidad Católica de Chile

Santiago, Chile

1
Carla Vairetti

Profesor Asociado

Facultad de Ingenieria y ciencias aplicadas

Universidad de los Andes

santiago, Chile