Mathieu Chartier | Information Retrieval Award | Best Researcher Award

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Mr. Mathieu Chartier | Information Retrieval Award | Best Researcher Award

PhD student, Poitiers University, France

📚 Chartier Mathieu is a dynamic expert in digital humanities, web technologies, and SEO. Based in Buxerolles, France, he has over a decade of experience in professional training, web development, and digital communication. As a PhD student, he is revolutionizing information retrieval in history using advanced Natural Language Processing (NLP) techniques. Mathieu is also an accomplished author, lecturer, and conference speaker who contributes significantly to digital literacy and web innovation. 🌍✨

Publication Profile

ORCID

Education

🎓 Chartier Mathieu holds a strong academic foundation in humanities and web communication. He earned a Professional Master’s Degree in Information and Communication (Web Editorial specialization, with honors) in 2009 and a Research Master’s Degree in Ancient and Medieval Archaeology (with honors) in 2008, both from Poitiers University. Currently pursuing a PhD in Digital Humanities (2023–Present), his research focuses on enhancing historical information retrieval using cutting-edge NLP and Large Language Models (LLM). 💡📖

Experience

💼 Chartier Mathieu boasts a rich professional journey as an independent digital trainer, consultant, and web developer since 2009. He has served as an adjunct lecturer at prestigious institutions like the University of Poitiers and Paris-Sorbonne, delivering courses on SEO, AI, UX Design, and web technologies. Additionally, he has authored several bestselling books on web marketing and SEO, presented at renowned conferences, and published over 1,200 articles on IT and web technologies. 🖥️📈

Research Interests

🔍 Chartier Mathieu’s research lies at the intersection of digital humanities and web technologies. His key focus areas include enhancing information retrieval through Natural Language Processing (NLP), leveraging AI for historical studies, and exploring innovative SEO methodologies. His dedication bridges the gap between technology and cultural heritage, making digital resources accessible to all. 🌐🤖

Awards

🏆 While Chartier Mathieu’s professional journey reflects his unmatched expertise, his significant achievements include certifications in Google Ads and Analytics (2015–2023) and the publication of five renowned books on web technologies. His works are highly regarded for their practical insights and have been celebrated widely in the digital community. 📘✨

Publications

HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models

 

 

Rania Sefti | Data Science | Best Researcher Award

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Ms. Rania Sefti | Data Science | Best Researcher Award

Phd student, Université Mohammed Premier Oujda, Morocco

Sefti Rania is a passionate researcher specializing in numerical analysis, optimization, and image processing. With a robust academic background and extensive teaching experience, she is currently pursuing a Ph.D. in a joint program between Morocco and France. Her research focuses on developing advanced methods for medical image segmentation using deep learning techniques.

Profile

Scopus

 

Education 🎓

Ph.D. in Mathematics and Computer Science (Specialization: Numerical Analysis and Optimization, Image Processing, Deep Learning), Mohammed First University, Oujda, Morocco, University of Orleans, France (Since 2020). Master in Numerical Analysis and Optimization (Honors: Good), Mohammed First University, Oujda, Morocco (2019). Bachelor’s Degree in Mathematical Sciences and Applications (Honors: Fairly Good), Mohammed First University, Oujda, Morocco (2017). High School Diploma in Experimental Sciences (Honors: Good), Ibn El Haytam High School, Nador, Morocco (2012)

Experience 💼

Adjunct Lecturer at Mohammed First University, Oujda, Morocco (2020 – Present). Higher School of Technology (Specialty: MCT and LPMI). Faculty of Sciences (Specialty: SVT and SMPC). Modules taught include Mathematics and Analysis with a total of over 200 hours of instruction. Reviewer for numerous articles in Mathematics and Computer Science since 2022

Research Interests 🔬

Numerical Analysis and Optimization, Image Processing, Deep Learning, Medical Image Segmentation.

Awards 🏆

Numerous Publications in renowned journals and conferences in the field of numerical analysis and optimization. Presentation Awards for contributions at international conferences such as MACMAS, NT2A, and SMAI-SIGMA

Publications

A CNN-based spline active surface method with an after-balancing step for 3D medical image segmentation, Mathematics and Computers in Simulation. Link – Cited by:

C2 composite spline methods for fitting data on the sphere, Springer special volume of the SEMA-SIMAI Springer Series. (Accepted in June 2023) – Cited by:

PID-Snake: Progressive Iterative Deformation of a Snake model for segmentation of a variety of images, Journal of Computational and Applied Mathematics. (Submitted in June 2024) – Cited by:

Fine-tuned cubic generalized composite spline interpolation with optimal parameter, Mathematics in Computer Science. (Submitted in June 2024) – Cited by:

A deep network-based spline active contour method for medical image segmentation, Springer special volume of the SEMA-SIMAI Springer Series. (Submitted in 2024) – Cited by: