Floris Thiant R&D Software Engineer

About Me Projects

My Expertise

Software engineer with inter-disciplinary experiences.
Phd student working on a methodology for assessing the environmental impacts of digital systems.

Code

C C++ Python Rust Javascript Java SQL Scripting

Frameworks

Keras Tensorflow AngularJS Node.js VivadoHLS HLS4ML

Tools/API

Scikit-Learn Pandas Numpy Qt Git Docker

OS

Windows Linux

Featured Projects

ien

Tools for assessing the environmental performance of digital services

Participation in the IEN (Impact Environnemental du Numérique/Environmental Impact of digital technology) project which aims to provide a systemic approach to assessing the direct and indirect impact of digital systems (servers, hosting infrastructures, software, digital services, etc.) on the environment.

Project Page
confiance

Design and industrialise trustworthy AI-based critical systems

Participation in the Confiance.ai project, the largest Research and Technology (R&T) program of the french national strategy in Artificial Intelligence, on the theme of the integration of AI components in embedded systems with regard to trust : physical constraints, real time performance, operational safety and availability, specific regulations, etc.

Project Page
data_security

Personal Data Management Systems : The security and functionality standpoint

  • C/C++/Python/SQL

Software design and development of a personal data management system (PDMS), combining trusted computer techniques (Intel SGX secure processors, Trusted Platform Module for smartcards), database and cryptographic technologies.

Publication
prelifa

A platform to communicate with patients’ families

  • Web Project Management

Back-end technical referent on a web platform (PréLifa) for maintaining the link with families for Covid-19 patients in intensive care.

Project Page
cms_nn

Machine learning in high-energy physics

  • Python

Development of algorithms to help with automation of training and compression of neural networks targeting an FPGA implementation for the trigger system of High Granularity Calorimeter (HGCAL) project, future calorimeter of the Solenoid Compact Muons (CMS), a particules detector of the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN).

Neural networks for high-granularity calorimeters
cta

An innovative camera for astronomy of very high energies

  • Python

Integration and validation of a motion module within a data acquisition framework for the Cherenkov Telescope Array (CTA), dedicated to multi-messenger astronomy.

Publication
cms_triggering

Triggering in high-energy physics

  • C/C++/Python/Javascript/SQL

Participation in software development for electronic cards of the electromagnetic calorimeter (ECAL) trigger system for the Solenoid Compact Muons (CMS), a particules detector of the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN).

Publication
cms_detector

Flexible online monitoring for high-energy physics

  • C/Python

Participation in software development of a control-command and data acquisition framework (PYRAME), flexible and adaptable for high energy physics experiments.

Publication

Awards/Distinctions

CERN CMS AWARD - 2017

For outstanding contributions to the development and implementation of the Electromagnetic Calorimeter trigger automatic masking software.

CERN Awards website