Omitir los comandos de cinta
Saltar al contenido principal
Inicio de sesión
Universidad EAFIT
Carrera 49 # 7 sur -50 Medellín Antioquia Colombia
Carrera 12 # 96-23, oficina 304 Bogotá Cundinamarca Colombia
(57)(4) 2619500 contacto@eafit.edu.co

Docentes e investigadores EAFIT Olga Lucía Quintero Montoya - Docentes e investigadores

EAFITDocentes e investigadores EAFITOlga Lucía Quintero Montoya - Docentes e investigadores

Olga Lucía Quintero Montoya

​​​​​​​​​​​​​​​​​​Departamento de Ciencias Matemáticas​​

Información general

Profesor titular. ​Doctora​ en Ingeniería de Sistemas de Control, Universidad Nacional de San Juan, Argentina​.

Contacto

  • Teléfono/pho​ne: (57) (4) 261 9500, extensión 9064​.
  • Correo electrónico/e-mail: oquinte1@eafit.edu.co.
  • Dirección/address: carrera 49 número 7 sur 50, Medellín (Colombia). Bloque 38, oficina 434.​

Ver​ C​​VLac​​​ 

Resumen CV / Summary

O. L. Quintero M is a Control Engineer from Minas School of National University of Colombia-Medellin, obtained her PhD in Control Engineering Systems from Institute of Automatica at Universidad Nacional de San Juan en Argentina in 2008.

From 2008 to 2011 she was consultant for oil and gas companies and developed several works on telecommunications market in Latinoamerica. Also was a Professor at USFQ in Quito.

Since 2011 she joined the Mathematical Sciences Department in Universidad EAFIT and currently is the Academic Director of the Mathematical Engineering PhD Program and Mathematical Modeling Research Group at Universidad EAFIT.

She is a Senior Researcher of COLCIENCIAS (Colombian National Science Foundation) and Visiting Professor at Technical University of Delft TUDelft (The Netherlands) and Cornell University.

She is also Alumni of the International Visitor Leadership Program of the U.S. State Department and serve as national and international referee of several journals and institutions, including the Colombian Congress.

Her research interests are not only Control Systems but also Bayesian Filtering, Data Assimilation, Multidimensional Signal Analysis, Artificial Intelligence and Machine Learning.

Intereses académicos e investigativos / Research and Teaching Interest

Control Systems and Bayesian Filtering in cooperation with Universidad Nacional de San Juan (Argentina) TU Delft (The Netherlands) and Universidad del Norte:

Prof Quintero have been published several papers on Tracking Control using numerical methods and linear algebra on nonlinear systems such as mobile robots and bioprocesses in coauthorship with Gustavo Scaglia from Instituto de Ingeniería Química at UNSJ. Their results have been published in several journals such as Robotica.
Also, her work on Bayesian Filtering have been developed through years with Adriana Amicarelli and Fernando di Sciascio from INAUT. Their work on state estimation with particle filters for bioprocesses such as Zymomonas mobilis and Bacillus thuringiensis, have been recognized as pioneer in the field and published since 2005.
Prof Quintero is working on Data Assimilation with cooperation with Prof. Arnold Heemink from Math-Phys Research group at Applied Mathematics Department in TU Delft. Santiago Lopez-Restrepo and Andres Yarce Botero are the PhD students (COLCIENCIAS Grant for International PhD) working on Ensemble Based Data assimilation and Four Variational ensemble techniques at high and low resolution (see more).
She also works in applications health, agriculture and natural ecosystems with Dr. Nicolas Pinel (see moreand Non Linear Data Assimilation for Weather Research Forecast with Dr. Angela Maria Rendon jointly advising the PhD Student Jhon Edinson Hinestroza (SAPIENCIA Grant and Universidad EAFIT) (see more).
With Dr. Elias Niño Associated Prof at Universidad del Norte, Colombia jointly organized the Workshop in Data assimilation and will have a PhD Student on Non Linear Data assimilation under a COLCIENCIAS Research GRANT 842 program awarded in 2019 (see more).


Multidimensional Signal Analysis in cooperation, Natalia López from GATEME-UNSJ, Jaime Castro from Politécnico Grancolombiano and Instituto Tecnológico Metropolitano de Medellín ITM:

We are interested in the emotion recognition from biosignals such as Voice, EEG and faces through Multiresolution and Double Fourier Analysis which lead us to the Mathematical demonstration of a relationship between the singularity degree (obtained from the spectrum via CWT) and the level of decomposition of a signal in order to extract its relevant features. Our new Spin off HuMath serve as the platform for the development of embedded systems for human centered interactions such as Children Intelligent Biomedicine and Intelligent systems for social-inclusive rehabilitation (see more).
Alejandro Gomez Montoya is the Young Researcher holding a COLCIENCIAS Grant for EEG Cerebral atlas of Emotions.
Signal Analysis is an area of interest because its relevance in several applications. Currently, we are working on the development of new and improved techniques for Seismic Migration, specifically Reverse Time Migration (that uses the acoustic wave) and the use of Integral Transformations for condition imaging enhancement. Also, the use of Continuous Wavelet Transform (CWT) to obtain the singularity spectrum of a signal in order to identify several features to relate with the velocities field (see more).
Bibiana Boada is the PhD student under a COLCIENCIAS Bicentenario grant for research on Mathematical methods for non destructive mining exploration via RTM and robust techniques. 


Artificial Intelligence and Machine Learning in cooperation with John Hopcroft at Cornell

Out interest have been the fuzzy algorithms for clustering and their use for extraction information. Recently we have been developing strategies for information retrieval from unstructured/structured data through the modification of the preprocessing and processing techniques. Now we are looking for the use of Spectral clustering and the recently introduced Local Spectral clustering to extract the hidden information in networks and combine them with our algorithms.
Also, Neural Networks have been used for solve problems in several markets such as the energy and telecommunications, but now we are evolving to the Deep Learning algorithms in order to reach a better understanding of Deep Learning, and particularly, its applications to the classification of medical images that would be a valuable resource for current and future research projects. Not only study Deep learning looking for improvement in performance but also to understand Deep Neural Networks and develop learning algorithms.
Leandro Ariza was qualified to attend Cornell’s Program for Research Experience on Deep Learning taught by Prof. John E. Hopcroft during summer 2016, as part of joint efforts to strengthen relationships between Cornell University and Universidad EAFIT (see more).
Sara Lorduy Hernández is the Young Researcher holding a COLCIENCIAS Grant for Multispectral signal analysis for Crop Yield and pests prediction jointly con Dr. Nicolas Pinel. 

Estudios realizados / Education

  • ​​Doctorado en Ingeniería de Sistemas de Control, Universidad Nacional de San Juan (Argentina), 2009.
  • ​​Pregrado en Ingeniería Electrónica, Universidad San Francisco de Quito (Ecuador), 2008.​
  • Pregrado en Ingeniería de Control, Universidad Nacional de Colombia, 2003.​​

Publicaciones / Publications

• Quintero,O.L. Recognition and regionalization of emotions in the arousal-valence plane. Olga Lucía Quintero, Paola Bustamante, Natalia López Celani, Maria Elisa. Annual International Conference of the IEEE Engineering in Medicine and Biology – Proceedings ISSN 1557170.

 
• Quintero,O.L. Fuzzy inference system for modelling failure modes in a ropeway for massive transportation. Luisa F. Villa, O. L. Quintero Montoya, L. Castañeda, Gustavo Mejía. 2015 Global Conference on Artificial Intelligence (GCAI2015). WIT Transactions on Information and Communication Technologies (ISSN: 1743-3517.

• Quintero,O.L. Modeling perspective for the relevant market of voice services: Mobile to Mobile December 2015 O. Lucía Quintero, Fabian L. Jaramillo P., Manuela Bastidas O. Lucia Quintero Montoya*, (MASKANA, Vol. 6, No. 2) ISSN 1390-6143.

 
 Quintero,O.L.Dynamic Analysis of Emotions through Artificial Intelligence. Susana Mejía M+., Olga Lucía Quintero M+, Jaime Castro M* +Universidad EAFIT ,*Politécnico Grancolombiano. En Avances en Psicología Latinoamericana (http://revistas.urosario.edu.co/index.php/apl/index ) ISSN: 1794-4724.

 
• Quintero,O.L.Information retrieval on documents methodology based on entropy filtering methodologies. uisa F illa, Santiago unoz, Ana C. Ruiz Arenas and Manuela Bastidas Int. J. Business Intelligence and Data Mining, Vol. 10, No. 3, 2015 ISSN online: 1743- 8195 ISSN print: 1743-8187.

 
• Quintero,O.L.​ Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech. Journal of Physics: C S ISSN: 17426588, 17426596 D Campo, O L Quintero, M Bastidas.

 
• Quintero,O.L.​ Double Fourier Analysis for Emotion Identification in Voiced Speech* Journal of Physics: C S ISSN: 17426588, 17426596. D. Sierra-Sosa, M. Bastidas, D. Ortiz P., and O.L. Quintero.

 
• Quintero,O.L.​ An approach to emotion recognition in single-channel EEG signals: a mother child interaction. Journal of Physics: C S ISSN: 17426588, 17426596. A Gomez, L Quintero, N Lopez and J Castro.

 
• Quintero,O.L. A simple but efficient voice activity detection algorithm through Hilbert transform and dynamic threshold for speech pathologies. Journal of Physics: C S ISSN: 17426588, 17426596.

 
• Quintero,O.L. Collaborative Networked Virtual Surgical Simulators (CNVSS) Implementing Hybrid Client–Server Architecture: Factors Affecting Collaborative Performance. Christian Andres Diaz, Helmuth Trefftz, Olga Lucía Quintero, Diego A Acosta, Sakti Srivastava. Presence Teleoperators &amp Virtual Environments (Impact Factor: 0.73). 11/2014; 23(4):393-409. DOI: 10.1162/PRES_a_00208.
​​Ver​ C​​V​Lac​​​ 
Última modificación: 29/11/2019 10:15