
Bastien Pietropaoli
Internship: Development of graphical components in JavaFX for a web application

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About me
Ph.D.
Education

Montesquieu High School, Le Mans (France)
2005 - 2006Preparatory course for "grandes écoles" (Mathematics, Physics and Engineering) Competitive exam for the Ecole des Mines
IMT Atlantique
2006 - 2010Nuclear Engineer Nuclear: Technology, Safety, EnvironmentActivities and Societies: "Main à la Pâte" association (scientific courses for a primary school class), Téléthon 2007, Emergence 2K7 (integration of freshmen), Theatre Club (sketches, plays) (Previously Ecole des Mines de Nantes)

Université de Rennes I
2010 - 2013Doctor of Philosophy (PhD) Computer Science Mention Très HonorablePh.D. Thesis completed in the team ACES at INRIA - Rennes, Bretagne-Atlantique (France).
Experience

Metexim Technologies
May 2009 - Jul 2009Internship: Development of graphical components in JavaFX for a web applicationJavaFX was a brand new technology at this time and the main aim of the internship was to learn how to use it. In order to do this, I participated in the development of the graphical interface of a web application designed to enable the construction and customization of printable calendars and photo albums.

Laboratoire d'Astrophysique de Bordeaux
Feb 2010 - Jul 2010Final internship: Participation to the Key Programme WISHThe main objective of the project was to simulate the line profiles observed with the Herschel HIFI tool for massive stars. The information collected on the transitions of water molecules have enabled the refining of simulations. In this project, scripts for simulations automation and comparison with observations have been developed. The simulation code MC3D has also been accelerated. Advisor: Jonathan Braine

Inria
Oct 2010 - Dec 2013Ph.D. Student - Computer ScienceTitle : Stable context recognition for smart home.Smart home is a major subject of interest. It helps to assist elderly or disabled people, improve comfort, safety, and also save energy. Today, ubiquitous computing is developed and integrated into the smart home providing context-awareness. Unfortunately, understanding what happens in a home is not always easy.In this thesis, we explain how context can be used to deploy services tailored to the activities and needs of residents. Understanding context requires the installation of sensors but also the abstraction of raw data into easily understandable data usable by humans and services. We present a multi-layer architecture of data fusion used to obtain contextual information of different levels of abstraction. The implementation of the lower layers is presented in detail with the application of the theory of belief functions for the abstraction of raw sensor data. Finally, are presented the deployment of a prototype that allowed us to validate our approach and the deployed services. Show less

Nimbus Centre
Mar 2014 - May 2016Postdoctoral ResearcherDuring my post-doc at Nimbus Centre in Cork (Ireland), I worked within the European project Tribute. We investigated novel methods for the detection of occupancy in public buildings (offices, libraries, etc.). I proposed a system using Wi-Fi sniffers gathering probe packets sent by Wi-Fi devices to locate those devices and estimate occupancy based on a probabilistic approach. I've also used machine learning to count people based on simple PIR sensor binary events.

Xanadu Consultancy
Jun 2016 - Apr 2017Data ScientistDuring that year at Xanadu Consultancy Limited, I worked within both the data science department and the tech department on the development of new data products. My role was to work on the design and implementation of a generic user profiling engine for the personalisation of the user experience, the automation of bonuses, and data gathering. I also assumed the role of Scrum master in my team.

Insight SFI Research Centre for Data Analytics
Jul 2018 - Sept 2021Postdoctoral ResearcherI worked as a post-doc researcher within a European project called LOGISTAR. My role was to provide predictions for logistics operations using machine learning methods.

Qualcomm
Sept 2022 - Mar 2023Staff EngineerI lead a small team of software engineers for the development of CAD tools at Qualcomm.
Licenses & Certifications
- View certificate

Algorithms for DNA Sequencing
Coursera Course CertificatesFeb 2016 - View certificate

Genomic Data Science with Galaxy
Coursera Course CertificatesFeb 2016 - View certificate

Introduction to Genomic Technologies
Coursera Course CertificatesJan 2016 - View certificate

Machine Learning: Regression
Coursera Course CertificatesJan 2016 - View certificate

Python for Genomic Data Science
Coursera Course CertificatesJan 2016 - View certificate

Machine Learning
CourseraDec 2014 - View certificate

Machine Learning: Classification
Coursera Course CertificatesApr 2016 - View certificate

Machine Learning Foundations: A Case Study Approach
Coursera Course CertificatesOct 2015 - View certificate

Model Thinking
Coursera Verified CertificatesMay 2015 - View certificate

Welcome to Game Theory
CourseraMar 2015
Languages
- frFrench
- enEnglish
- spSpanish
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