Brooklyn, NY, United States of America

Diegane Dione


Average Co-Inventor Count = 1.1

ph-index = 4

Forward Citations = 132(Granted Patents)


Location History:

  • Forest Hills, NY (US) (2008)
  • Brooklyn, NY (US) (2012 - 2022)

Company Filing History:


Years Active: 2008-2022

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6 patents (USPTO):Explore Patents

Title: Diegane Dione: Innovator in Logistic Demand Forecasting and Incident Detection

Introduction

Diegane Dione is a notable inventor based in Brooklyn, NY (US). He has made significant contributions to the fields of logistic demand forecasting and incident detection through his innovative patents. With a total of 6 patents, Dione continues to push the boundaries of technology and improve operational efficiencies.

Latest Patents

One of Dione's latest patents is focused on logistic demand forecasting. This invention provides a computer-implemented system that aggregates logistic data from electronic receipts. It processes this data through a forecasting analytics model trained on historical demand data, ultimately predicting upcoming transportation asset needs within a logistic supply chain. Another significant patent is for a device-based incident detection and notification system. This multi-media communication device interacts with sensors to detect incidents based on sensor data. It processes this information to confirm incidents and initiates an appropriate response, providing real-time updates through its user interface.

Career Highlights

Dione has worked with various companies, including Accenture Global Solutions Limited. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that address real-world challenges.

Collaborations

Some of Dione's notable coworkers include Christopher J. Pierce and Matthew A. Lehman. Their collaboration has likely fostered an environment of creativity and innovation, leading to the development of impactful technologies.

Conclusion

Diegane Dione is a prominent inventor whose work in logistic demand forecasting and incident detection showcases his commitment to innovation. His patents reflect a deep understanding of technology and its applications in improving logistics and safety.

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