Artificial Intelligence Research for Society

 

 

Project and Research Opportunities

 

 

People

 

 

Publications

 

 

Teaching

 

 

 

This group is part of the research group GIAP at the Department of Electrical and Electronic Engineering, and the Center for Artificial Intelligence Research and Education CINFONIA, Universidad de los Andes, Colombia. Our research interests are focused on theoretical and applied developments in artificial intelligence that address challenges with social impact.

 

 

Contact:

Luis Felipe Giraldo Trujillo

lf.giraldo404 [at] uniandes [dot] edu [dot] co

 

 

What’s New?

 

2020:

·   

MSc student Manuel Ríos was awarded a grant from Google DeepMind to fund his research project under the supervision of Prof. LF Giraldo.

·   

Prof. LF Giraldo, PhD student Gabriel Narváez, and MSc student Camilo Guillén, were awarded a grant from Center for Sustainable Development for Latin America to fund the research project Open Map for Data Analysis in renewable energy management and climate change in all the Colombian territory.

·   

PhD student Alvaro Andrés Jiménez was awarded the Bicentenario scholarship by Minciencias for PhD studies at Uniandes.

·   

Prof. LF Giraldo was awarded a grant from University of los Andes to fund a research project that involves the development of low-cost water quality sensing devices for inland artisanal fish production. 

2019:

·   

Andrés Felipe Zambrano won second place in the Otto de Greiff Awards with his project ‘Solar Irradiance Forecasting Models without On-Site Training Measurements’ under the supervision of prof. LF Giraldo. This award is given to the best research projects conducted by undergraduate students in Colombia.

·   

Again, prof. LF Giraldo was awarded a grant from Google to fund the research project Models of Financial Cooperation in Underprivileged Communities using Reinforcement Learning.

·   

Prof. LF Giraldo, in cooperation with researchers from Unibagué, was awarded a grant from Universidad de los Andes and Universidad de Ibagué to fund the research project Implementation and Evaluation of Informal Financial Cooperation Strategies in Communities in the region of Tolima.

·   

PhD student Gabriel Narváez was awarded the CEIBA Foundation scholarship for PhD studies at Uniandes.

·   

Prof. LF Giraldo, in cooperation with researchers from Corhuila, was awarded a grant from Colciencias to fund the research project Modeling and characterization of inland artisanal fish production processes in rural areas in Colombia for efficient and sustainable management of natural resources.

 

 

 

We list some projects and opportunities for students at undergraduate, master, and PhD levels to conduct relevant research. If you are interested in getting involved in any of these projects or want to propose new ones, please, feel free to contact us at lf.giraldo404[at]uniandes[dot]edu[dot]co .

 

We gratefully acknowledge ongoing and past financial support from:

 

 

 

 

Based on concepts in machine learning, IoT, and dynamical systems theory, we develop systems to process and analyze information from different sources that lead to “intelligent” decision making. Our research is focused on addressing challenges with social impact. Ongoing applications include:

 

·       Renewable energy

·       Agriculture and pisciculture

·       Water and air pollution analysis

·       Cooperation in human communities

·       Nanotechnology and material design

·       Distributed and resilient learning of pattern recognition systems

·       Resiliency in structural control

 

 

People

 

Luis Felipe Giraldo Trujillo

Assistant Professor

Department of Electrical and Electronic Engineering

Universidad de los Andes, Colombia

Curriculum Vitae - Minciencias

Linkedin

Email: lf.giraldo404[at]uniandes[dot]edu[dot]co

 

 

Graduate students and researchers

Gabriel Narvaez (PhD student)

Andrés Jiménez (PhD student)

Daniel Medina (PhD Student)

 

Juan David Medina (MSc student)

Jonathan Roncancio (MSc student)

Camilo Andrés Guillén (MSc student)

Nicolás López (MSc student)

Alejandro Arias (MSc student)

Manuel Sebastián Ríos (MSc student)

 

Gilberto José Díaz (Researcher)

Andrés Felipe Zambrano (Researcher)

 

Undergraduate students

Jorge Gaviria

Santiago Vitery

Juan Felipe Palacios

Nicolás Díaz

 

 

Past graduate students

Catalina Albornoz (Now at IBM)

Gabriel Narvaez (Now PhD student at Uniandes, Colombia)

Alvaro Javier Florez (Now PhD student at KU Leuven, Belgium)

María Angélica Arroyo (Now at Lockheed Martin, USA)

Gilberto José Díaz (PhD student at University of California at Santa Barbara)

Andrés Felipe Zambrano (Now researcher at Uniandes, Colombia)

Jesús Gabriel Ángel (Now at Bizagi)

Abel Felipe Zambrano (Now at Novaflex)

 

 

 

 

Teaching

 

Anonymous comments and ratings by the students on these courses and the instructor can be seen at losestudiantes.co .

 

 

Graduate courses

 

IELE 4010 Stochastic Processes. [syllabus]

 

IELE 4011 Optimization. [syllabus]

 

IELE 4017 Intelligent Analysis of Signals and Systems. [syllabus]

 

IELE 4133 Summer school 2021: Intelligent Management of Distributed Energy Resources (with Kodjo Agbossou and Nilson Henao from Université du Québec à Trois-Rivières, and Michael Bressan and Gabriel Esteban Narváez from Universidad de los Andes). [course webpage]

 

IELE 4330 Summer school 2020: Optimal Control and Design of Wearable Robots (with Edgar Bolivar, University of Michigan, USA). [syllabus] [Course webpage]

 

IELE 4901 Summer school 2019:  Learning Machine Learning. (with Joshua Bloom, University of California at Berkeley).

 

IELE 4323 Summer school 2017: Introduction to Linear and Nonlinear Parameter Estimation (with Alain Vande Wouwer, University of Mons, Belgium).

 

 

 

Undergraduate courses

 

IELE 3006 Optimization

 

IELE 2500 Signals and Systems

 

IELE 3330 Projects in Control Systems (Taller de Control)

 

IELE 1502 Dynamical Systems

 

 

 

 

Publications

(Complete list at Google Scholar, preprints freely available at Researchgate.)

 

 

Recent conference and preprint publications

 

·       MA Arroyo and LF Giraldo. Data-driven Outer-Loop Control Using Deep Reinforcement Learning for Trajectory Tracking. IEEE Conference on Control Technology and Applications (CCTA) 2021.

 

·       D Gomez, N Quijano, LF Giraldo. Concept Learning in Deep Reinforcement Learning. arXiv preprint, 2020.

 

·       AJ Florez, LF Giraldo. Model Predictive Control and Structural Sparsity. In IEEE Colombian Conference on Automatic Control, Colombia, 2019.

 

·       CD López, LF Giraldo. Optimization of Energy and Water Consumption on Crop Irrigation using UAVs via Path Design. In IEEE Colombian Conference on Automatic Control, Colombia, 2019.

 

·       G Díaz-García, L Burbano, N Quijano, LF Giraldo. Distributed MPC and Potential Game Controller for Consensus in Multiple Differential-Drive Robots. In IEEE Colombian Conference on Automatic Control, Colombia, 2019.

 

 

Book chapters

 

·       JD Clapp, KM Passino, LF Giraldo, D Ruderman. Developing a Collaborative Systems Dynamics Model of Drinking Events: Finding a Common Language. Book chapter in Innovations in Collaborative Modeling, Michigan State University Press. June 2020.

 

 

Journal publications

 

·       AJ Florez, LF Giraldo, M Gutierrez-Soto, F Zuñiga. Structural Sparsity in Control Design of Active and Semi-active Systems. Structural Control and Health Monitoring. 2021.

 

·       J Martinez-Piazuelo, G Diaz-Garcia, N Quijano, LF Giraldo. Distributed Formation Control of Mobile Robots using Discrete-time Distributed Population Dynamics. IFAC-PapersOnLine, 2020.

 

·       G Narváez, LF Giraldo, M Bressan, A Pantoja. Machine Learning for Site-adaptation and Solar Radiation Forecasting. Renewable Energy. 2020.

 

·       AF Zambrano, G Díaz, S Ramirez, LF Giraldo, H Gonzalez-Villasanti, MT Perdomo, ID Hernández, JM Godoy. Donation Networks in Underprivileged Communities. IEEE Transactions on Computational Social Systems. 2020.

 

·       JF Gaviria, A Escalante-Perez, JC Castiblanco, N Vergara, V Parra-Garces, JD Serrano, AF Zambrano, LF Giraldo. Deep Learning-based portable Device for Audio Distress Signal Recognition in Urban Areas. Applied Sciences: Intelligent Speech and Acoustic Signal Processing.  Vol. 10, Issue 21, pp 1-12, 2020. 

 

·       JP Martínez, D Ochoa, N Quijano, LF Giraldo. A Multi-Critic Reinforcement Learning Method: An Application to Multi-Tank Water Systems. IEEE Access, Vol. 8, pp 173227-173238, 2020.

 

·       A Rico, M Bressan, LF Giraldo. Failure Signature Classification in Solar Photovoltaic Plants using RGB images and Convolutional Neural Networks. Renewable Energy. Vol. 162, pp 249-256, 2020.

 

·       AF Zambrano, LF Giraldo. Solar Irradiance Forecasting Models without On-Site Training Measurements. Renewable Energy, Vol. 152, pp 557-566, 2020.

 

·       AJ Florez, LF Giraldo. Structural Sparsity in Networked Control Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.

 

·       JD Clapp, D Ruderman, H Gonzalez, LF Giraldo, KM Passino, M. Reed, I Fernandes. A System Dynamics Model of Drinking Events: Multi-Level Ecological Approach. Systems Research and Behavioral Science, Vol. 35, Issue 3, pp 265-281, 2018.

 

·       H Gonzalez, LF Giraldo, KM Passino. Feedback Control Engineering for Cooperative Community Development.  IEEE Control Systems Magazine. Vol. 38, Issue 3, pp 87-101, 2018.

 

·       LF Giraldo, KM Passino, JD Clapp, D Ruderman. Dynamics of Metabolism and Decision Making During Alcohol Consumption. IEEE Transactions on Cybernetics, Vol 47, Issue 11, pp 3955-3966, 2017.

 

·       LF Giraldo, KM Passino. Dynamics of Cooperation in a Task Completion Social Dilemma. PLoS ONE, e0170604, 2017.

 

·       LF Giraldo, KM Passino, JD Clapp. Modeling and Analysis of Group Dynamics in Alcohol-Consumption Environments. IEEE Transactions on Cybernetics, Vol 47, Issue 1, pp 165 - 176, 2017.

 

·       LF Giraldo, KM Passino. Dynamic Task Performance, Cohesion, and Communications in Human Groups. IEEE Transactions on Cybernetics, Vol 46, Issue 10, pp 2207 - 2219, 2016.

 

·       LF Giraldo, F Lozano, N Quijano. Foraging Theory for Dimensionality Reduction of Clustered DataMachine Learning, Vol. 82, Issue 1, pp 71 - 90.  2011.

 

·       LF Giraldo, E Delgado, JC Riaño, G Castellanos. Selección de características usando modelo híbrido basado en algoritmos genéticosRevista Ingeniería e Investigación. Vol. 26, Issue 3, pp 113 -119. 2006. 

 

·       LF Giraldo, E Delgado, G Castellanos. Cinemática Inversa de un Brazo Robot utilizando Algoritmos GenéticosRevista Avances en Sistemas e Informática. Vol. 3, Issue 1, pp 29 - 34, 2006.

 

 

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