Fotocarnetcarlosmartin.jpg_thumb90

Carlos Manuel Martin Barreiro

Profesor Titular

ESPOL

Guayaquil, Ecuador

Líneas de Investigación


Estadística Multivariante; Optimización; Heurísticas; Métodos Numéricos; Ecuaciones Diferenciales

Educación

  •  PhD en Estadística Multivariante, Universidad de Salamanca. España, 2021
  •  Máster en Matemática Aplicada (Optimización), ESPOL. Ecuador, 2013
  •  Máster en Administración de Empresas (Finanzas), ESPOL. Ecuador, 2004
  •  Máster en Sistemas de Información, ESPOL. Ecuador, 2002
  •  Ingeniero en Ciencias Computacionales, ESPOL. Ecuador, 2000

Experiencia Académica

  •   Profesor Titular Full Time

    ESPOL

    Facultad de Ciencias Naturales y Matemáticas (FCNM-ESPOL)

    Guayaquil, Ecuador

    2001 - A la fecha

Experiencia Profesional

  •   Gerente General Full Time

    Martín & Martín

    Guayaquil, Ecuador

    1997 - 2004

Premios y Distinciones

  •   Premio Extraordinario de Doctorado

    Universidad de Salamanca

    España, 2021

    Premio Extraordinario de Doctorado (2020-2021). Campo de Investigación: Matemáticas. Escuela de Doctorado. Universidad de Salamanca.


 

Article (32)

Addressing a decision problem through a bipolar Pythagorean fuzzy approach: A novel methodology applied to digital marketing
An IoT-fuzzy intelligent approach for holistic management of COVID-19 patients
Efficiency, optimality, and selection in a rigid actuation system with matching capabilities for an assistive robotic exoskeleton
A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
Assessment of profitability and efficiency of regulatory acts on energy-intensive industries: a panel data methodology and case study in India
Construction of a repetitive magic square with Ramanujan?s number as its product
Fractional Transformation-Based Decentralized Robust Control of a Coupled-Tank System for Industrial Applications
Fractional Transformation-Based Intelligent H-Infinity Controller of a Direct Current Servo Motor
Improvement of Furuta's Inequality with Applications to Numerical Radius
On a Novel Dynamics of a SIVR Model Using a Laplace Adomian Decomposition Based on a Vaccination Strategy
On the Use of Variability Measures to Analyze Source Coding Data Based on the Shannon Entropy
Statistical characterization of vaccinated cases and deaths due to COVID-19: methodology and case study in South America
The Continuous Bernoulli Distribution: Mathematical Characterization, Fractile Regression, Computational Simulations, and Applications
The r-hypergeometric distribution: Characterization, mathematical methods, simulations, and applications in sciences and engineering
Weibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery
A New Wavelet-Based Privatization Mechanism for Probability Distributions
A Robust Controller of a Reactor Electromicrobial System Based on a Structured Fractional Transformation for Renewable Energy
An Equity-Based Optimization Model to Solve the Location Problem for Healthcare Centers Applied to Hospital Beds and COVID-19 Vaccination
Improvement of Some Hayashi-Ostrowski Type Inequalities with Applications in a Probability Setting
Modeling Inventory Cost Savings and Supply Chain Success Factors: A Hybrid Robust Compromise Multi-Criteria Approach
Modern Multivariate Statistical Methods for Evaluating the Impact of WhatsApp on Academic Performance: Methodology and Case Study in India
Numerical Solutions of a Differential System Considering a Pure Hybrid Fuzzy Neutral Delay Theory
On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19
A New Algorithm for Computing Disjoint Orthogonal Components in the Parallel Factor Analysis Model with Simulations and Applications to Real-World Data
A New Algorithm for Computing Disjoint Orthogonal Components in the Three-Way Tucker Model
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data
A New Birnbaum-Saunders Distribution and Its Mathematical Features Applied to Bimodal Real-World Data from Environment and Medicine
A new principal component analysis by particle swarm optimization with an environmental application for data science
A Two-Stage Location Problem with Order Solved Using a Lagrangian Algorithm and Stochastic Programming for a Potential Use in COVID-19 Vaccination Based on Sensor-Related Data
Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data
Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data
32
Carlos Martin

Profesor Titular

Matemáticas

ESPOL

Guayaquil, Ecuador

2
Fernando Rojas

Académico

Universidad de Valparaíso

Valparaíso, Chile