Lab

cold
The COLD intelligent systems lab studies theoretical sd application aspects of multiagent systems. We use machine learning, game theory and (distributed) optimization as our main tools. Our findings are usually applied in the energy and situational awareness domains.

Our team is leaded by Enrique Munoz de Cote  and is integrated by 3 PhD, 2 MSc students, 3 postdocs, 4 research assistants and 3 staff members.


Name Thesis Title Graduation Year
Lino Rodriguez Learning to make squential decisions to optimize a  portfolio 2019
Pablo Hernandez Strategic Interactions against Non-Stationary Agents 2016
Omar Garcia Aprendizaje por refuerzo mediante transferencia de conocimiento cualitativo 2015


Name Research lines Associated Project(s)
Ansel Rodriguez data mining, optimization, pattern recognition Collective energy micro-generation
Fernando Lezama evolutionary algororithms, genetic programming, optimization Collective energy micro-generation
Elias Ruiz probabilistic inference, situational awareness Precision agriculture through collaborative UAVs
Irving Vasquez robotics, control, planning Precision agriculture through collaborative UAVs


Name Role Associated Project(s)
Cecila Gomez Research assistant Precision agriculture through collaborative UAVs
Miguel Palacios Research assistant  Collective energy micro-generation
Dr. Omar Garcia Machine learning and control, UAV expert Precision agriculture through collaborative UAVs
Emmanuel Huerta Programming Precision agriculture through collaborative UAVs
Luis Angel Pineda Urakami UAVs Precision agriculture through collaborative UAVs
MSc. Aldo Nuñez Electronics, UAVs Precision agriculture through collaborative UAVs

Luis Enrique Sucar

Investigador titular "C"

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Eduardo Morales

Investigador titular "C"