About

PhD, AI & Data - Tech Lead & Manager.

  • Location: France
  • Collaboration: Available
  • Degree: PhD, Double Eng.

Laureate of Centrale Lyon & Arts et Métiers with double Engineer's degree (~ 2 x MSc) and currently leading and pursing a CIFRE PhD thesis with FORVIA and FEMTO-ST. My areas of expertise include artificial intelligence, data science, digital transformation and strategy, and digital project management. I am deeply invested in leading and managing the development, implementation, and integration of AI within various industries while building the digital strategies of businesses. I am convinced that AI holds transformative power in reshaping our work dynamics, and I am enthusiastic about contributing to the ongoing digital revolution across multiple sectors. As a tech passionate, I find pleasure in experimenting with single-board computers/microcontrollers such as Raspberry Pi and Arduino. I engage in creating entertaining AI models and conducting penetration testing on devices and tools as part of my interests.

Full Resume PhD Thesis Side-time

When the sun sets, I switch gears to capture the cosmos through my telescope as an astrophotographer. And when I'm not stargazing, I immerse myself in thrilling gaming adventures. Science and tech are the driving forces behind my life, shaping a journey that's all about exploration and innovation.

Books Zone

Astrophotography

Gaming Zone

Companies I have collaborated with

I help organizations leverage the power of AI and data to enhance efficiency, unlock valuable insights, and power innovation, leading to better decision-making, streamlining processes, and fostering new innovative opportunities. I'm passionate about staying up-to-date with the latest developments in the field, and I'm always looking for ways to expand my knowledge and skills. An endless story.

Forvia Faurecia
Forvia Faurecia

Years XP

Projects

Hours Of Support

Companies

Expertise & Certifications

As someone who deeply values personal and professional growth, I am continuously driven by a passion for learning and improving my skills. My insatiable curiosity fuels my desire to enhance both my technical abilities and my proficiency in managerial and strategic management. In addition to obtaining a PhD and two enginnering degrees, I have actively participated in numerous trainings and successfully obtained professional certifications.

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Digital Transformation & Innovation Strategy

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AI & Data Technical Expertise

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Digital Project Management

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Skills

AI, Digital Solutions & Data

4+ Years XP

Statistics & Data Analytics

90%

Reinforcement Learning

90%

Machine Learning/Deep Learning

90%

Computer Vision

80%

Generative AI

70%

Frameworks & Libraries

90%

Management & Leadership

3+ Years XP

Agile Project Management

Technical Leadership

Communication

Programming

5+ Years XP

Python

95%

C & C++

80%

R

80%

SQL

95%

Computing & Cloud

2+ Years XP

GPU & Distributed Computing

90%

Microsoft Azure

85%

Google Cloud Platform

80%

Security & Penetration Testing

75%

MLOps & Integration

1+ Years XP

Python - Flask, Fast API

90%

Docker & Kubernetes

80%

CI/CD

80%

Node JS, Express JS

80%

Linux & Raspberry

90%

Git

90%

Participations & Events

  • All
  • Talks
  • Workshops
IEEM23 | Paper Conference Presentation

| Conference | Industrial Engineering and Engineering Management


Singapore

December 2023

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Introduction to AI & Manufacturing Line Design Automation

| Invited Talk | Global Material Network Meeting @ FORVIA


Germany

August 2022

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AI for Automating the Manufacturing Line Design

| Seminar Talk | Young Scientists Day @ FORVIA


France

July 2022

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A brief introduction into Natural Language Processing

| Invited Talk | BlaBlaConf for AI/Big Data Seminar


Morocco

November 2020

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Space Apps Global Problem Solver

| Hackathon | NASA Space Apps COVID-19 Challenge


USA - Online

May 2020

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Innovation Challenge Arabia Hackathon

| Hackathon | Arab Congress of Innovation


Morocco

December 2018

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Papers

AIAI 2024 - Corfu, Greece
Online Reinforcement Learning for Designing Automotive Hybrid Assembly Sequence: A Task Clustering-Guided Approach

Anass Elhoud, Benoit Piranda, Raphael De Matos, Julien Bourgeois

IEEM 2023 - Singapore
A Comparative Analysis of Hybrid Assembly Line Key Performance Indicators Between a Real-world Industrial Setting and a Fast Discrete Event Simulator

Anass El Houd, Benoit Piranda, Raphael De Matos and Julien Bourgeois

2023 - Journal of Intelligent Manufacturing (IF8)
Swarm Intelligence-Based Framework for Accelerated and Optimized Assembly Line Design in the Automotive Industry

Anass El Houd, Benoit Piranda, Raphael De Matos and Julien Bourgeois

AINA 2022 - Sidney, Australia
ManufactSim: Manufacturing Line Simulation using Heterogeneous Distributed Robots

Benoit Piranda, Ishan Gautam, Jerome Meyer, Anass El Houd, Julien Bourgeois

ICCCR 2022 - Shanghai, China
Parameters Correlation of Deep Learning Model for Visual Inspection in the Automotive Industry

Charbel El Hachem, Anass El Houd, Painvin Loic, Gilles Perrot, Raphaël Couturier