I am Idriss JAIRI, a Ph.D. student in Machine Learning at the University of Lille (CRIStAL Laboratory), with a background in software engineering and data science.

Education

• Ph.D. in Machine Learning, University of Lille, Lille, France (Oct 2022 – Sept 2025)
  • Supervisor: Prof. Hayfa Zgaya
  • Thesis: Design and Development of Intelligent Air Quality Indicators for Environmental and Health Preservation Support
• Master of Science in Computer Science & Technology, Southwest Petroleum University, Chengdu, China (Oct 2019 – June 2022)
  • Supervisor: Dr. Yu Fang
  • Thesis: Neural Transfer Learning for Soil Liquefaction Tests
  • Overall GPA: 4.27/5
• Bachelor of Science in Computer Science & Engineering, Faculty of Sciences Ibn Zohr, Agadir, Morocco (Sep 2018 – June 2019)
  • Final-year project: Development of a Web Application for Managing Barbershop Appointments and Scheduling
• DUT (University Technology Diploma) in Computer Science & Engineering, Higher School of Technology, Agadir, Morocco (Sep 2016 – June 2018)
  • Final-year project: Design and Development of a 3D Game with Unity 3D

Research Experience

• Ph.D. Student (Machine Learning Researcher), University of Lille (CRIStAL Laboratory), Lille, France (Oct 2022 – Sept 2025)
  • Focus on the design and development of intelligent air quality indicators for environmental and health preservation support.
  • Research on interpretable and explainable machine learning approaches.
  • Collaboration with interdisciplinary teams to address environmental challenges.
• Graduate Research Assistant, Southwest Petroleum University, Chengdu, China (Sep 2020 – June 2022)
  • Conducted research on machine learning models for soil liquefaction detection and evaluation.
  • Applied advanced machine learning and deep learning algorithms for predictive modeling.
  • Collaborated with the Civil Engineering Department on novel solutions.
  • Contributed to the preparation and publication of multiple peer-reviewed papers.

Internships

• Web Developer Intern, Vala-Orange, Agadir, Morocco (Feb 2019 – Apr 2019)
  • Developed a dynamic web application using PHP and MySQL to meet client requirements.
  • Implemented SEO (Search Engine Optimization) strategies to improve online visibility.
• Web Developer Intern, WOHLSTANDFURALLE SARL, Casablanca, Morocco (Mar 2018 – June 2018)
  • Designed and developed an e-commerce web application using WordPress, PHP, and MySQL.
  • Integrated payment gateways and ensured responsive design for enhanced user experience.

Skills

• Areas of Expertise: Machine Learning, Deep Learning, Time Series Analysis, Data Visualization, Data Preparation, Data Science, Statistics, Software Engineering, Web Development, Problem-Solving

• Programming Languages: C, C++, JavaScript, HTML/CSS, Python, Java, PHP, SQL, LaTeX

• Frameworks and Systems: MVC, Django, Bootstrap, WordPress, Vue.js

Highlighted Publications

Enhancing particulate matter risk assessment with novel machine learning-driven toxicity threshold prediction

Idriss Jairi, Amelle Rekbi, Sarah Ben-Othman, Slim Hammadi, Ludivine Canivet, and Hayfa Zgaya-Biau

Enhancing air pollution prediction: A neural transfer learning approach across different air pollutants

Idriss Jairi, Sarah Ben-Othman, Ludivine Canivet, and Hayfa Zgaya-Biau

Explainable based approach for the air quality classification on the granular computing rule extraction technique

Idriss Jairi, Sarah Ben-Othman, Ludivine Canivet, and Hayfa Zgaya-Biau

Neural transfer learning for soil liquefaction tests

Fang, Y., Jairi, I., & Pirhadi, N. (2023). Neural transfer learning for soil liquefaction tests. Computers & Geosciences, 171, 105282.

Application of Logistic Regression Based on Maximum Likelihood Estimation to Predict Seismic Soil Liquefaction Occurrence

Jairi, I., Fang, Y., & Pirhadi, N. (2021). Application of logistic regression based on maximum likelihood estimation to predict seismic soil liquefaction occurrence. Human-Centric Intelligent Systems, 1(3-4), 98-104.

Teaching

International Biomedical Engineering M2 - Machine Learning and Deep Learning Course

MIAS M2 - Machine Learning and Deep Learning Course

3rd Year OSP training (Parcours Organisation Soin Patient) - Data Science and Machine Learning

MIAS M1 - Data Science: Part 2

MIAS M1 - Machine Learning: Part 2

Supervision

• Master M1 Project: Machine learning-based decision support system in resuming driving with visual field deficits.

Grants and Awards

• Sichuan Provincial Government Scholarship for Foreign Students in Southwest Petroleum University, 2021-2022
• Sichuan Provincial Government Scholarship for Foreign Students in Southwest Petroleum University, 2020-2021