Valbonne, France

Ahmed Oulabas

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Amadeus S.a.s.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ahmed Oulabas. Retrieved from https://idiyas.com/inventor/ahmed-oulabas

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ahmed Oulabas: Innovator in Machine Learning for Data Storage

Introduction

Ahmed Oulabas is a prominent inventor based in Valbonne, France. He has made significant contributions to the field of machine learning, particularly in the context of data placement in distributed storage systems. His innovative approach leverages advanced algorithms to optimize data storage solutions.

Latest Patents

Ahmed Oulabas holds a patent for a groundbreaking invention titled "Machine learning systems and methods for data placement in distributed storage." This patent describes a method for determining a primary storage location for a data record within a distributed system that consists of multiple data stores located in various geographic locations. The process involves initializing a machine learning mapping model using topology information of the distributed system. It also includes determining a set of training feature vectors derived from metadata values associated with previous location requests. The model is trained using these feature vectors and corresponding target primary storage locations. Upon receiving a location request with multiple metadata values, the model processes these values to create a prediction feature vector. The model is then executed to identify the most suitable data store as the primary storage location for the requested data record.

Career Highlights

Ahmed Oulabas is currently employed at Amadeus S.A.S., a leading technology company that specializes in providing IT solutions for the travel and tourism industry. His work at Amadeus has allowed him to apply his expertise in machine learning to real-world challenges in data management and storage.

Collaborations

Some of Ahmed's notable coworkers include Vincent Boulineau and Jacques Bonaud. Their collaboration has contributed to the advancement of innovative solutions within their field.

Conclusion

Ahmed Oulabas is a key figure in the realm of machine learning and data storage solutions. His patent and work at Amadeus S.A.S. exemplify his commitment to innovation and excellence in technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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