Hey! I am

Dr. Soulaimane GUEDRIA

About

About Me

I hold a doctoral degree in computer science from University Grenoble Alpes (UGA). Software Engineer, tech enthusiastic advocate and Tennis player. I am an accomplished professional in software engineering industry, data science and high-performance computing fields with an extensive experience in deep learning technology.

I used to focus my research efforts on distributed deep-learning-based medical imaging applications. Driven by passion, I implement cutting-edge solutions to solve real world problems. Eager to learn from any new challenge, I believe in surrounding myself with brilliant people to bring out the best in me to gain and increase my skills and abilities.

  • Name: Soulaimane GUEDRIA
  • Age: 29 years
  • Address: Bâtiment IMAG, 700 Avenue Centrale, Saint-Martin-d'Hères, France
  • Zip code: 38401
  • Email: soulaimane.guedria@univ-grenoble-alpes.fr
  • Phone: +33 (0) 457 421 658

Affiliations :

Colorlib Template
Colorlib Template
Colorlib Template

Experience

Mar 2021-Feb 2022

Research Engineer / Post-doctoral Research Fellow

Floralis UGA Filiale

Technology transfert of my Ph.D. thesis results.

Sep 2020-Feb 2021

Researcher & Expert Collaborator

LIG (University Grenoble Alpes), Grenoble, France

Development and implementation of a deep-learning-based solution for rapid detection and diagnostic of Covid-19.

Feb 2017-Aug 2020

Ph.D Candidate

Laboratoire D’Informatique de Grenoble (LIG) (University Grenoble Alpes), Grenoble, France

Building an integrated, component-based and distributed deep learning medical imagining segmentation platform:

  • Development of R2D2, an end-to-end scalable deep learning toolkit for medical imaging segmentation.
  • Building of Auto-CNNp, a component-based software framework to automate CNN parallelism.
  • Proposing a guideline and recommendations in order to scale up CNNs training process for segmentation applications without accuracy loss.
  • Conducting a thorough analysis of the generalizability of the CNN parallelism techniques to the imagining segmentation applications and identifying the sources of variability in deep learning training process
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.

Feb–Jul 2016

Data Scientist Intern

Thausne, Grenoble, France

Detailed achievements :

  • Building a sentimental analysis system in order to detect and pull trends of a patient dedicated social network http://www.des-ailes-pour-votre-sante.com/
  • Developing a text clustering application used in various tasks by the company’s marketing department.
  • Developing an e-mail classification module (email, spam).

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

Design and development of a Windows Phone 8.1 application. The project was part of my 2013/2014 engineer summer internship at the National Institute of Applied Sciences and Technology (INSAT).

Education

2017-2020

Ph.D Candidate

University Grenoble Alpes

Computer Science

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, Honors

Skills

Software Engineering

90%

Deep Learning

85%

Web Development

80%

Distributed Systems

75%

Big Data

70%

Text Mining

70%

Python

90%

TensorFlow

85%

Keras

95%

HTML5 & CSS3

75%

Horovod

95%

Linux

90%

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

I'm Available for freelancing

Hire me

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.

Address

Bâtiment IMAG, 700 Avenue Centrale, 38401 Saint-Martin-d'Hères, France

Personal Contact Number

+33 (0) 457 421 658

Pro Contact Number

+33 (0) 457 421 658