Sistema inteligente-MDCM para el análisis y toma de decisiones

Resumen no. 2CP21-40


Palabras clave:

toma de decisiones, optimización, multi-criterio, multi-objetivo, algoritmos evolutivos

Biografía del autor/a

M.I. Dynhora-Danheyda Ramírez Ochoa, Universidad Autónoma de Ciudad Juárez, Chihuahua

Datos académicos:

  • 1998: Técnico en produción. Especialidad Físico-matemático. Centro de Bachillerato Tecnológico industrial y de servicio 228.
  • 2004:Facultad de ingeniería, Universidad Autónoma de Chihuahua,Ingeniería en sistemas computacionales. Especialidad Hardware.
  • 2010:Facultad de ingeniería, Universidad Autónoma de Chihuahua,Maestría en Ingeniería en sistemas computacionales. Especialidad Hardware

Experiencia Laboral:

  • 2006- a la fecha: Universidad Tecnológica de Chihuahua.Profesor de tiempo completo.
  • 2004-2008: Universidad autónoma de Chihuahua,Coordinación General de tecnologías de la Información. Técnico en videoconferencias

Dr. Luis Pérez Domínguez, Departamento de Ingeniería Industrial y Manufactura, Doctorado en tecnología, Universidad Autónoma de Ciudad Juárez, Chihuahua, México.


  • Universidad Autónoma de Ciudad Juárez: Juárez, Chihuahua, MX: 2017-01-10 to present | Professor (Department of Industrial Engineering and Manufacturing)

Education and qualifications

  • Universidad Autónoma de Ciudad Juárez: Juarez, Chihuahua, MX: 2013-08-06 to 2016-06-10 | Ph.D. in Sciences in Engineering (Department of Engineering)
  • Instituto Tecnológico de Ciudad Juárez: Ciudad Juarez, Chihuahua, MX: 2000-01-28 to 2003-03-07 | MS in Industrial Engineering (Department of Industrial Engineering)
  • Instituto Tecnológico de Villahermosa: Villahermosa, Tabasco, MX: 1996-01-28 to 2000-01-10 | Industrial Engineering (Deparment of Industrial Engineering)

Invited positions and distinctions

  • CvLAC: Tunja, Boyacá, CO: 2020-12-19 | Member in GRUPO DE INVESTIGACIÓN EN SOFTWARE - GIS

Membership and service

  • Canadian Operational Research Society: Toronto, Ontario, CA: 2021-03-20 to 2022-03-31
  • Society for Industrial and Applied Mathematics: Philadelphia, PA, US: 2021-01-01 to 2022-01-01 | Regular Membership


  • UACJ-University of Sheffield: Building collaborative links in Engineering: 2019-06 to 2020-01 | Grant, British Council (Juárez, UK, Mexico)

Dr. Erwin Adán Martínez Gómez, Departamento de Ingeniería Industrial y Manufactura, Doctorado en tecnología, Universidad Autónoma de Ciudad Juárez, Chihuahua, México.



  • Universidad Autónoma de Ciudad Juárez: Ciudad Juárez, Chihuahua, MX: 1999-06-01 to present | Profesor - Investigador (Ingeniería Industrial y Manufactura)

Education and qualifications

  • Universidad Popular Autónoma del Estado de Puebla: Puebla, Puebla, MX, 2011-01-15 to 2014-10-17 | Doctorado (Ingeniería y Tecnologías de Información)

Dra. María Cruz Villa Uriol, Departamento de Ciencias de la Computación, Universidad de Sheffield, Sheffield, South Yorkshire, Inglaterra.

Maria-Cruz Villa-Uriol is a Lecturer in Computer Science and member of the Organisations, Information and Knowledge Group (Oak) at the University of Sheffield, UK. She is also member of the INSIGNEO institute for in silico medicine. She holds a degree in Telecommunications and Electronics Engineering (Barcelona, Spain), and a PhD in Computer Engineering (University of California, Irvine, USA).

Previously, she held a postdoctoral position (February 2006 - August 2012) at the Universitat Pompeu Fabra (Barcelona, Spain) and a Research Fellow position at the University of Sheffield (Department of Mechanical Engineering, September 2012 - January 2015). Since 2006 she participated in several large European and Spanish projects. In the FP6 European project @neurIST (Integrated Biomedical Informatics for the Management of Cerebral Aneurysms), she joined the Virtual Physiological Human research community. Since then, her involvement and collaboration in this field continued in other European projects (the VPH-NoE Network of Excellence, the DISCIPULUS Coordinated Support Action, and the VPH-Share and euHeart Integrated Projects). Her recent work in VPH-Share was centred on sharing image-based computational workflows with the VPH community, on studying and developing strategies to tackle the presence of missing of data in clinical databases, and on using machine learning techniques to unravel correlations between image-based personalised biomechanic descriptors, elements in the patient’s clinical record and clinically relevant events for cerebral aneurysm patients.

Her main research interests are the personalisation of models using computational imaging and modelling techniques, the composition of scientific workflows, and the use and development of data-driven decision-making strategies to support clinical decisions using heterogeneous data sources such as personalised VPH models, clinical databases, and mobile sensors capturing a wide variety of variables describing an individual and his/her environment. Her primary area of interest is in the cardiovascular domain with an emphasis in clinical translation.






Coloquio de Posgrados IIT