Summary
Anas Neumann is an Assistant Lecturer and deep learning researcher with 10 years of experience bridging academia and industry across Canada, currently active at Université Laval and Polytechnique Montréal. He holds a PhD with honors in Operations and Decision Systems and pursues postdoctoral research in deep learning, focusing on Graph Neural Networks, Deep RL, XAI, and applied healthcare solutions for Type-1 Diabetes. As a co-founder and full‑stack engineer of CWCloud and lead developer for NGO and pedagogical platforms like Uprodit and I4EvoSim, he blends production-grade software development with algorithmic research. His work spans Industry 4.0 applications—planning, scheduling and LLM-powered tutoring—while also delivering open teaching materials and simulation tools on GitHub that support his courses. Notably, he combines optimization expertise and evolutionary algorithms in educational games, reflecting a flair for turning complex research into practical, interactive learning experiences.
10 years of coding experience
1 year of employment as a software developer
Post-doctoral research, Deep Learning, Post-doctoral research, Deep Learning at Polytechnique Montréal
Ph.D in Administration, Operations and Decision Systems (ODS), Excellent Mention and Honor Roll, Ph.D in Administration, Operations and Decision Systems (ODS), Excellent Mention and Honor Roll at Université Laval
High School Diploma, Mathematics, High School Diploma, Mathematics at Lycée Léonard de Vinci - St Michel sur Orge (91)
Multimedia and Software Engineer (MSc), Computer Science, Valedictorian, Multimedia and Software Engineer (MSc), Computer Science, Valedictorian at Institut Supérieur des Arts Multimédia de la Manouba(ISAMM)
Bachelor of Computer Science and Mathematics (1st year), Computer Science, Bachelor of Computer Science and Mathematics (1st year), Computer Science at Université Paris-Sud
French, اللهجة التونسية, English