Esteban Bautista
About
Esteban Bautista is from Paris, Ile-de-France, France. Esteban is currently Postdoctoral Research Fellow at Sorbonne Universite, located in Paris, Ile-de-France, France. In Esteban's previous role as a Teaching Assistant at CPE Lyon, Esteban worked in France until Jan 2021. Prior to joining CPE Lyon, Esteban was a PHD Graduate Student at Ecole normale superieure de Lyon and held the position of PHD Graduate Student at Lyon Area, France. Prior to that, Esteban was a Visiting Research Fellow at EPFL (Ecole polytechnique federale de Lausanne), based in Lausanne Area, Switzerland from May 2019 to Jul 2019. Esteban started working as Electronic Design Engineer and Intern at Biomedical Imaging Laboratory at CCADET in Ciudad de Mexico y alrededores, Mexico in Aug 2014. From Apr 2012 to Oct 2012, Esteban was Electronic Design Engineer and Intern at Biomedical Imaging Laboratory at CCADET, based in Ciudad de Mexico y alrededores, Mexico.
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Esteban Bautista's current jobs
Research in Link Streams: Mathematical objects generalizing graphs and time series, with potential numerous applications in Machine Learning and Data Analysis.
Esteban Bautista's past jobs
Teaching assistant (TP) for the following courses: * Signaux et systemes lineaires * Traitement numerique du signal * Traitement du signal aleatoire
PhD thesis entitled: 'Laplacian Powers for Graph-Based Semi-Supervised Learning' Supervised by Paulo Goncalves (INRIA, DR) and Patrice Abry (CNRS, DR)
Research visit at LTS2 Laboratory of EPFL. During this visit, I proposed novel algorithms to efficiently update the solution of graph-based machine learning methods on evolving networks. Our results impact large networks that rapidly change, such as the Internet, which has 60T nodes and evolves at a rate of 500K new sites every second, and that make it impossible to apply machine learning methods, from scratch, every time the network evolves. Instead, with the algorithms I proposed, one can efficiently update the solution of machine learning methods to simply address changes in the data.
Worked in multidisciplinary team made up of engineers, scientists and doctors Designed an electronic device for the processing and control of a tomography scanner Proposed a methodology for data acquisition as thesis project Reduced the amount of information needed by 30% with proposed method Obtained 50% cost savings in acquisition systems with proposed method Obtained 20% cost savings in storage devices with proposed method
Designed a high precision XY position system controlled by GERBER files Implemented the USB 2.0 communication protocol at the API / Firmware level Evaluated and calibrated high precision stepper motors