Mohamed Akram Zaytar

Title: Mohamed Akram Zaytar and Geospatial Climate-Hazard Innovation.

Introduction

Mohamed Akram Zaytar is an inventor based in Nairobi, Kenya, associated with International Business Machines Corporation. His patent work addresses the generation of impact functions for geospatial climate hazards, combining structured data, natural-language exchanges, and computational modeling.

Latest Patents

The available information identifies one patent associated with Zaytar: “Impact Function Generator for Geospatial Climate Hazards.” The invention describes a system that receives data about a climate hazard and a related asset, including information gathered through predefined prompts or a natural-language exchange. It uses the structured input to create an entity knowledge graph containing candidate variables and the conversational input to create a universal knowledge graph containing candidate function formulas. A graph neural network generates embeddings for these knowledge graphs, which are then used in symbolic regression to produce impact functions for the hazard and asset.

This approach is designed to support the development of impact functions through user interactions and computational analysis. The patent record lists 1 patent for Zaytar.

Career Highlights

Zaytar’s listed patent is associated with International Business Machines Corporation. Its subject matter brings together geospatial climate-hazard analysis, knowledge graphs, graph neural networks, and symbolic regression to generate impact functions.

Collaborations

The provided information names Julian Bertram Kuehnert and Anne Jones as Zaytar’s coworkers. Their specific roles in the patent or related work are not stated.

Conclusion

Mohamed Akram Zaytar’s identified patent presents a data-driven method for generating impact functions for geospatial climate hazards, reflecting an intersection of climate-risk analysis and computational innovation.