All posts by

Cristian Jesús Vaca Rubio

Remote working: A Covid-19 Experience

Remote working: A Covid-19 Experience

Due to the Covid-19 pandemic, I came to an intriguing realization: I’ve now worked in an in-office position for half of my Ph.D. and worked remotely for the other half! Remote employment is becoming increasingly frequent and mainstream. I’ve seen a lot of misconceptions and misinformation about what “remote work” is, and how it works…

Beyond mMIMO Large-scale Wireless Sensing

Beyond mMIMO Large-scale Wireless Sensing

The aim of this post is to describe the work “Assessing Wireless Sensing Potential with Large Intelligent Surface” published in IEEE Open Journal of the Communications Society. I will try to show the main ideas behind it in a more simplified manner. Please note that for a more detailed description of the methods and the…

How I became an Early Stage Researcher

How I became an Early Stage Researcher

My name is Cristian and I am one of the 15 ESRs of the ITN WindMill Project. I get asked a lot what my job is and how I got it, so I will try to explain it in this article. When I was a B.Sc. student, I was lost in the face of so…

Rayleigh samples distribution estimation using GANs

Rayleigh samples distribution estimation using GANs

Collaborator: Pablo Ramirez Espinosa, post-doctoral researcher, Connectivity Section, Aalborg University As presented in the previous post, GANs are a powerful framework for approximating the features distribution so as it is possible to generate fake samples that looks like real samples. In this post, in order to see some practical results of GANs approximation, we will…

Generative Adversarial Nets: From general to theoretical explanation

Generative Adversarial Nets: From general to theoretical explanation

The aim of this post is to provide a general understanding of GANs and a discussion of the potential of this concept. This post is based on the paper which introduced the framework for generative model estimation. In order to address this matter, the post is going to be divided into three main contributions as…