I am a Computer Systems Engineer since 2014; from 2012 to 2014 I worked
on Tele-Medicine projects involving panoramic image generation, real-time feature detection, medical image processing and robotics
in the Research Group in Biomedical Engineering of the Industrial
University of Santander, Colombia.
In 2015 I received the LabEx
scholarship to study at the University of Nice-Sophia Antipolis, where I
worked on the project "Green Optimal Baseband Unit Placement for
Fixed/Mobile Converged Aggregation Networks" to optimize the video
streaming delivery by placing the computation units in the network in a
way that optimizes the energy consumption and the Quality of Experience
of the viewer.
During the summer of 2016, I did an internship to work on the problem of "Interactive Content-based
Retrieval from Eye-tracking". For the internship I applied Active
Learning to refine the selection of displayed images and make the system
converging more rapidly to the target images, using an eye tracker to
follow the gaze of the user.
In 2017, for my second year of
the International Master in Ubiquitous Networking. I worked on the
project "Learning from Experiments on Machine Learning Workflows" as a
contribution to the LabEx project RockFlows, to create a Meta-Model that
proposes the best Machine Learning Workflow given an input dataset.
I started my PhD on November 2017, my thesis "Streaming Virtual Reality: Learning for Attentional Models and Network Optimization" I research ways to structure VR content in the cloud and optimally decide what to transmit to maximize the streaming quality. Our strategy consists in devising a comprehensive processing chain tailored to VR and targeted at streaming, including concepts like Foveated Streaming, Gaze Guidance and Head Motion prediction of viewers in 360° videos using Deep Learning.