Cambridge, NY, United States of America

Trong Nghia Hoang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Cambridge, NY (US) (2022)
  • Cambridge, MA (US) (2023)

Company Filing History:


Years Active: 2022-2023

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: The Innovative Genius of Trong Nghia Hoang

Introduction

Trong Nghia Hoang is an accomplished inventor based in Cambridge, NY, who has made significant contributions to the field of artificial intelligence and machine learning. With a total of 2 patents to his name, Hoang is recognized for his innovations that aim to enhance the capabilities of neural networks and reinforcement learning systems.

Latest Patents

One of Hoang's notable patents is titled "Bayesian Nonparametric Learning of Neural Networks." This invention addresses the challenges faced in federated learning, where data is distributed across different servers, making centralized data pooling impractical. Hoang's Bayesian nonparametric framework allows for the modeling of local neural network weights provided by various data servers. His innovative inference approach enables the synthesis of a more expressive global neural network with minimal communication, demonstrating efficacy in simulation with popular image classification datasets.

The second patent, "Formally Safe Symbolic Reinforcement Learning on Visual Inputs," presents a groundbreaking method for enhancing safety in reinforcement learning (RL) systems. This invention utilizes visual inputs to perform template matching for objects within the RL agent's action space. By determining a set of safe actions in accordance with safety specifications, Hoang's method effectively prevents unsafe actions before the RL agent executes them, thereby enhancing the reliability and safety of RL applications.

Career Highlights

Throughout his career, Trong Nghia Hoang has been affiliated with the prestigious International Business Machines Corporation (IBM). His work focuses on integrating advanced machine learning techniques into practical applications, thus pushing the boundaries of technology in informed decision-making and automation.

Collaborations

Hoang collaborates with talented professionals in his field, including Subhro Das and Nathan Fulton. These collaborations highlight the synergy of ideas and expertise that enhance the innovative potential of their collective research projects at IBM.

Conclusion

Trong Nghia Hoang's contributions to the fields of machine learning and artificial intelligence, exemplified by his two patents, underscore his role as a leading inventor in technology today. His work not only furthers academic understanding but also paves the way for practical applications that ensure safety and efficiency in intelligent systems.

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