Personal information

Emails & domains

Verified email domains

Websites & social links

https://www.linkedin.com/in/lahcen-elfatimi-aa46b117b/

Countries

Canada

Biography

LAHCEN ELFATIMI (Member, IEEE) obtained his Ph.D. degree from the Department of Computer Engineering and Software Engineering, Polytechnic School of Montreal, Montreal University, Canada.
Throughout his career, he has accumulated diverse and in-depth expertise, showcasing his skills and passion in several key areas:

-Over 7 years as an expert IT consultant.
- Over 5 years of teaching in various educational institutions.
- Over 7 years in scientific research.
- Full Stack Developer.
- In-depth knowledge in medical image processing, database administration, AI, DL, ML.
- Demonstrated Skills:Project management for research initiatives, Strong communication skills.
- Author of numerous scientific publications.
- Member of the Institute of Electrical and Electronics Engineers (IEEE).
- Editorial member of the SCIE Journal and the Journal of Machine Learning Research.
- Mastery of 4 languages (written and spoken): English, French, Arabic, and Turkish.
This summary highlights the richness of his experience, his technical skills, and his significant contributions across diverse fields.

Activities

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Education and qualifications (1)

Polytechnique Montréal: Montreal, QC, CA

phd (Department of Computer Engineering and Software Engineering)
Education
Source: Self-asserted source
Dr. EL FATIMI LAHCEN

Works (6)

A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation

2025 | Journal article
DOI: 10.48550/ARXIV.2501.01991
Contributors: Lahcen El Fatimi; Elhoucine Elfatimi; Hanifa Bouchaneb
Source: Self-asserted source
Dr. EL FATIMI LAHCEN

Model Checking in Medical Imaging for Tumor Detection and Segmentation

2025 | Journal article
DOI: 10.48550/ARXIV.2501.02024
Contributors: Elhoucine Elfatimi; Lahcen El fatimi
Source: Self-asserted source
Dr. EL FATIMI LAHCEN

Deep multi-scale convolutional neural networks for automated classification of multi-class leaf diseases in tomatoes

Neural Computing and Applications
2023-10-09 | Journal article
DOI: 10.1007/s00521-023-09062-2
Part of ISSN: 0941-0643
Part of ISSN: 1433-3058
Contributors: Elhoucine Elfatimi; Recep Eryiğit; Lahcen Elfatimi
Source: Self-asserted source
Dr. EL FATIMI LAHCEN

Tumor growth prediction and classification based on the KNN algorithm and discrete-time Markov chains (DTMC)

Neural Computing and Applications
2023-05 | Journal article
DOI: 10.1007/s00521-023-08212-w
Contributors: Lahcen El Fatimi; Hanifa Boucheneb
Source: check_circle
Crossref

Beans Leaf Diseases Classification Using MobileNet Models

IEEE Access
2022 | Journal article
DOI: 10.1109/access.2022.3142817
Part of ISSN: 2169-3536
Source: Self-asserted source
Dr. EL FATIMI LAHCEN
grade
Preferred source (of 2)‎

Brain Tumor Detection using Cellular Automata based image Segmentation techniques

International Journal of Scientific Research in Computer Science and Engineering
2022-10 | Journal article
Part of ISSN: 2347-2693
Source: Self-asserted source
Dr. EL FATIMI LAHCEN
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