Biography

I am a PhD Student at the Côte d’Azur University in France, under the supervision of Prof. Frédéric Precioso and Thomas Menguy (CTO-Wildmoka). I work in Machine Learning field, specifically in the detection and classification of the most important actions in videos, using Deep Learning and multimodal features.
I obtained a MSc in Ubiquitous Networking in 2017 from the University Côte d’Azur in France with a LabEx scholarship.
In 2014 I graduated as an Engineer in Computer Systems and Informatics from the Industrial University of Santander in Colombia with a Laureate Degree Project.

• Signal, Sound, Image for Computer Scientists (FR)
  Practical Sessions
  3rd year Computer Science - Polytech Sophia
• Human-Computer Interaction (FR)
  Practical Sessions
  3rd year Computer Science - Polytech Sophia
• Computer Vision and Machine Learning (ENG)
  Practical Sessions
  Master 1 DSC ICTLabs - Université Côte d’azur
• Object Detection Using Deep learning (ENG/FR)
  Practical Sessions
  Deep Learning School - Université Côte d’azur
  
  

Master Students

1. Ruiqing Chang.

   • Applied Mathematics and Modelization (2020)
   • Topic: Multimodal Features for Soccer Summarization.
   • Co-advisors: Melissa Sanabria, Frédéric Precioso
     

2. Anass Nazihi, Youssef Benjelloun.

   • Applied Mathematics and Modelization (2019)
   • Topic: Multimodal Summarization of Soccer Games.
   • Co-advisors: Melissa Sanabria, Frédéric Precioso
     

3. Billal El Maaroufi, Younès Salhi, Lina Sedoud.

   • Applied Mathematics and Modelization (2019)
   • Topic: Reconnaissance vocale multimodale (Multimodal voice recognition)
   • Co-advisors: Melissa Sanabria, Frédéric Precioso
     

4. Sherly.

   • Master DSC ICTLabs (2019)
   • Topic: Detection of actions in sports videos using Multiple Instance Learning
   • Co-advisors: Frédéric Precioso, Melissa Sanabria
     

5. Jose Diaz Mendoza.

   • Master DSC ICTLabs (2018)
   • Topic: Precise multi-modal segmentation of sports videos
   • Co-advisors: Frédéric Precioso, Melissa Sanabria
     

6. Khalil Bouzoubaa, Adrien Gambier, Valentin Moulié.

   • Applied Mathematics and Modelization (2018)
   • Topic: Une autre façon de regarder le sport à la téle (Another way to watch sports on TV)
   • Co-advisors: Frédéric Precioso, Melissa Sanabria
     

• Internship: Deep Learning and Best Practices - Automation of hyperparameters selection in Deep Learning algorithms. 2017.
  This project was part of ROCKFlows platform.
• Internship: Study of Convolutional Neural Networks for automatic zooplankton classification. 2016
• Creation of an algorithm for detection of overlapped red blood cells in microscopic images of blood smears. 2014
• Development of a TeleCytology platform funded by the Colombian Department of Science, Technology and Innovation (COLCIENCIAS). This project was intended to reduce the time of diagnosis by the specialist using TeleMicroscopy and Digital Image Processing techniques. 2010-2015

• Sanabria, M., Sherly, Precioso, F., & Menguy, T. (2019). A Deep Architecture for Multimodal Summarization of Soccer Games. In Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports. ACM.

• Romero, M., Sanabria, M., Bautista, L, & Mendoza, A. (2016). Algorithm for detection of overlapped red blood cells in microscopic images of blood smears. DYNA, 83(198), 187-194.

• Gualdron, H.,Bautista, L., Romero, M., & Sanabria, M. (2014). Estudio y desarrollo de una técnica de telemicroscopía aplicable en las zonas rurales de Colombia. Revista GTI, 13(37), 69-79.

• sanabria@i3s.unice.fr
• Equipe Maasai. Inria Sophia-Antipolis, 2004 route des Lucioles. 06902 Sophia-Antipolis, France