Conduct research on Internet of Things security
Elyes Manai
Machine Learning Trainer / Researcher
Elyes Manai
Machine Learning Trainer / Researcher
About Me
Hello! I’m Elyes Manai.
AI Consultant residing in Quebec, Canada. I have rich experience in Machine Learning, public speaking, and education, both public and corporate. I would love to discuss the specifics with you.
- Experience in AI 4 years
- Experience in education 7 years
- Freelance: Available
- Address: Quebec, CA
Past Clients
My Services
AI expertise
AI readiness checks, Project supervision, employee training,
Technical training
Training both corporate & public, Teaching, instructing, mentoring
Public speaking
Conferences, workshops, panels, developer relations
Content Creation
Articles, videos, presentations
Fun Facts
50.000
students
reached
10
Awards
Won
15 happy clients
200 trainings
done
done
Resume
Experience
2023 - Present
Research Consultant
Quebec Ministry of Cybersecurity
2022 - 2023
Research Consultant
Quebec Ministry of International Relations
Conducted research on internal security posture improvement
2022
AI Course instructor
Nvidia DLI
Conducted several Data Science and DL workshops
2020 - 2023
AI Consultant
Orange Developer Center Tunis
Taught 300 students
Supervised 10 projects
Co-organized a week-long AI online event (1M views)
Education
2022 - Current
Université Laval
Quebec, Canada
Ph.D in Artificial Intelligence Applied to Cybersecurity
2018 - 2020
ESEN University
Tunis, Tunisia
Masters in Artificial Intelligence (AI) and Natural Language Processing (NLP)
2015 - 2018
ISAMM University
Tunis, Tunisia
Bachelor in Computer Science and Multimedia
Skills
Skills
-
Machine Learning
-
Public Speaking
-
Content Creation
-
Developer Relations
Languages
-
English
-
French
-
Arabic
-
German
Coding
-
Python90%
-
Cloud85%
-
Javascript75%
-
Web Dev.70%
Certifications
-
Google Cloud Machine Learning Engineer
-
Tensorflow Developer
-
IBM AI analyst
-
Google Educator Level 2
-
IEEE English for Engineering
-
NVIDIA DLI Data Science and Deep Learning
2024
E. Manai, M. Mejri, and J. Fattahi, “Fingerprint Fraud Explainability Using Grad-Cam for Forensic Procedures”, in The 23th International Conference on Intelligent Software Methodologies, Tools, and Techniques IPN, Cancun, Mexico | September 24-26, 2024, https://doi.org/10.3233/FAIA240393
E. Manai, M. Mejri, and J. Fattahi, “Minimizing Model Misclassification using Regularized Loss Interpretability“ in The 15th International Conference on Smart Computing and Artificial Intelligence, SCAI 2024, Takamatsu, Japan, July 6-12, 2024, accepted on May 14, 2024, IEEE.
E. Manai, M. Mejri, and J. Fattahi, “Intrusion Detection Explainability by Ensemble Learning with a Case Study“ in The 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024, Valetta, Malta, July 1-4, 2024, accepted on April 17, 2024, IEEE.
2023
E. Manai, M. Mejri, and J. Fattahi, “Impact of Feature Encoding on Malware Classification Explainability,” in 15th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2023, Bucharest, Romania, June 29-30, 2023, IEEE, 2023, pp. 1–6. doi: 10.1109/ECAI58194.2023.10193964
Get in Touch
- Address: Québec, CA
- Email: manai.elye2s@gmail.com
- Phone: +1 581 849 3693
- Freelance: Available
Contact Form