Hey! I am

Dr. Soulaimane GUEDRIA

About

About Me

I hold a doctoral degree in Computer Science with a specialization in Artificial Intelligence. I am an accomplished professional at the crossroad of academia and software engineering industry, with proven experience in data science, artificial intelligence projects and particular expertise in deep learning technology. I have also a solid background in project technology transfert aspects, research project fundraising and intellectual property (IP) development and protection.

I used to focus my research efforts on distributed deep-learning-based medical imaging applications.

  • Name: Soulaimane GUEDRIA
  • Age: 30 years
  • Address: Grenoble, France
  • Zip code: 38100
  • Email: guedria[dot]soulaimane[at]gmail[dot]com

Previous Affiliations :

Colorlib Template
Colorlib Template
Colorlib Template

Experience

Mar 2022- Today

Data Scientist - Computer Vision

ARaymond Network, Grenoble, France

  • In charge of setting up and integrating a computer vision component to a global automotive industry quality control project within ARaymond internal incubator.

  • Working on the intellectual property development and protection and public fundraising.
Mar 2021-Feb 2022

Research Engineer

Floralis UGA Filiale, Grenoble, France

  • Maturation stage and technology transfer of my Ph.D. thesis results supported and in collaboration with Linksium SATT venture capital.

  • I coordinated the project budget planning (180 k€) and we collectively worked on business model development and patented intellectual property.
Sep 2020-Feb 2021

Post-doctoral Research Fellow

LIG (University Grenoble Alpes), Grenoble, France

  • Ensured the research project public fundraising (370 k€), coordination, planning and reporting. Raised 170 k€ from 2 national public funding institutions and 200 k€ from one private partner.
  • Development of a deep-learning-based solution for rapid detection and diagnostic of Covid-19 and the migration of my Ph.D. thesis outcomes POC to a SaaS business distribution model.

Feb 2017-Aug 2020

Ph.D Candidate

Laboratoire D’Informatique de Grenoble (LIG) (University Grenoble Alpes), Grenoble, France
  • Built an integrated, component-based and distributed deep learning medical imagining segmentation platform.

  • Co-authored 4 peer-reviewed articles in reputable scientific journals and conferences such as Nature Research (SREP) and Software: Practice and Experience.

  • Patented my Ph.D thesis intellectual property (3 Software APP deposits).
More info : http://www.theses.fr/s178077

2017-2019

Graduate Teaching Assistant

IUT2, University Grenoble Alpes, Grenoble, France

I was teaching Linux, web development basics, algorithmics, c programming and providing end of study project tutoring for 5 students.

Feb–Jul 2016

Data Scientist Intern

Thausne, Grenoble, France

Detailed achievements :

  • Implemented a text clustering application used in the company’s marketing department for the costumer segmentation process
  • Developed a sentimental analysis system to pull the trends of a social network.

2011-2014

Tennis Refree

International Tennis Federation (ITF)

Level 1 ITF refree in a set of national and international tennis tournaments.

Jul–Aug 2014

Software Engineer Intern

Anypli, Monastir, Tunisia

Designed and developed a Windows Phone 8.1 application.

Education

2017-2020

Philosophiæ doctor (Ph. D.)

University Grenoble Alpes, Grenoble, France

Computer Science: Deep Learning, Software Engineering, Distributed Systems, Medical Imaging

2013-2016

Software Engineer

National Institute of Applied Science and Technology (INSAT), Carthage University, Tunisia

Specialized in data science and information systems management

2011-2013

Integrated Preparatory Cycle

National Institute of Applied Science and Technology (INSAT), Carthage University, Tunisia

Mathematics, physics and computer science

2014-2015

Baccalaureate

High school of Ksibet Mediouni, Monastir,

Computer Science, Highest Honors

Skills

Deep Learning

90%

Computer vision

85%

AI Project Coordination

80%

Fundraising

75%

Technology Transfer

70%

Intellectual Property

70%

Awards

August 2019

Judges’ Vote Award Winner of the EIT Health PhD Translational Fellowships 2019

Oxford University, England, UK



Significant accomplishment press article on the LIG website


November 2018

EIT Health Innovation Days 2018 Grenoble Bronze Winner

Grenoble Alpes University



Grenoble iDays

2011

Baccalaureate Excellence Award

Tunisia

Ranked 9th nationally.

Publications

My research ORCID is :


November 2020

A scalable and component-based deep learning parallelism platform : an application to convolutional neural networks for medical imaging segmentation

Thesis

More info : http://www.theses.fr/s178077

Online Access

July 2020

Variability and reproducibility in deep learning for medical image segmentation

Nature Reseach Journal: Scientific Reports

DOI: 10.1038/s41598-020-69920-0

Download PDF

July 2020

R2D2: A scalable deep learning toolkit for medical imaging segmentation

Journal: Software: Practice and Experience

DOI: 10.1002/spe.2878

Download PDF

December 2019, Los Angeles, CA, USA

Auto-CNNp: a component-based framework for automating CNN parallelism

IEEE BigData 2019 PEASH Workshop

DOI: 10.1109/BigData47090.2019.9006175

Download PDF

December 2019, Las Vegas, Nevada, USA

Automating CNN Parallelism with Components

2019 IEEE International Conference on Computational Science and Computational Intelligence (CSCI-ISHI)

DOI: 10.1109/CSCI49370.2019.00179

Blog

My Blog

Contact

Contact Me

Emails are my much preferred way of communication. Don't hesitate to drop me an email. I will deal with it as soon as I can (within minutes or few hours maximum). Please reconsider the urgency of your request before calling me on my private phone line.