Dr. George Lebbos AI & Full-Stack Solutions Expert
Delivering innovative solutions in Artificial Intelligence, Web Development, and Blockchain Technologies
About Dr. George Lebbos
Dr. George Lebbos is a Solutions Architect, full-stack engineer, and esteemed professor with over 20 years of experience in software development, IT management, and academic research. He earned his Ph.D. from Paris 8 University and holds a Master’s degree in Software Engineering from CNAM, Paris.
Throughout his career, Dr. Lebbos has been dedicated to advancing multilingual natural language processing, artificial intelligence, and blockchain technologies. He has taught and supervised numerous students at the Faculty of Technology, guiding research projects that bridge theoretical knowledge and practical applications.
Expertise & Specializations
Bringing innovation and technical excellence across modern technologies.
Full-Stack Development
Designing and building scalable web and mobile applications from front-end to back-end.
Artificial Intelligence (AI)
Leveraging machine learning and AI-powered solutions to enhance decision-making and automation.
Blockchain
Developing secure, decentralized systems and smart contracts for next-generation applications.
Solutions Architecture
Crafting reliable, scalable, and efficient technology solutions tailored to complex business needs.
Advancing Technology Through Research
Dr. George Lebbos’s research focuses on developing intelligent systems capable of understanding and processing natural language across multiple languages, including English, Arabic, and French. His work bridges the gap between human communication and machine understanding, enabling more intuitive interactions with technology.
Dr. Lebbos’s research aims to create practical tools and frameworks for NLP, AI, and multilingual information systems, contributing both to the academic community and real-world applications.
Natural Language Processing (NLP):
Investigating methods to improve machine understanding of human language, with a focus on Arabic information retrieval and multilingual applications.
Semantic Resources:
Building and enriching resources such as Arabic WordNet to enhance computational understanding of language.
Word Encoding & Vectorization:
Developing novel algorithms for representing words and phrases in vector space models to improve language modeling and retrieval accuracy.
Towards the Enrichment of Arabic WordNet with Big Corpora
This paper presents a method to enrich Arabic WordNet with semantic clusters extracted from a large general corpus, addressing the scarcity of digital linguistic resources for Arabic.
Type: Conference Paper
Published: January 2017
Survey and Classification of Methods for Building a Semantic Annotation"
This paper surveys various methods for building or enriching Arabic semantic resources, aiming to establish a reliable approach for Arabic semantic annotation.
Type: Article
Published: December 2017
Methods for Word Encoding: A Survey
This survey revises most word encoding methods and models, from n-gram sets to vector space models, highlighting their applications in natural language processing and information retrieval
Type: Article
Published: August 2017
Advancing Knowledge Through Publications
Over his academic career, Dr. George Lebbos has authored numerous publications in natural language processing, semantic resources, and intelligent systems. His work spans book chapters, journal articles, and conference papers.
With a focus on Arabic and multilingual computational linguistics, his research contributes to both academic advancements and real-world applications, offering insights into AI, software development, and innovative solutions for multilingual systems.
“Language is the bridge between people and machines. By understanding it, we don’t just build smarter systems, we create smarter connections.”
– Dr. George Lebbos