Dublin, Ireland

Debasis Ganguly

USPTO Granted Patents = 13 

Average Co-Inventor Count = 2.2

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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13 patents (USPTO):Explore Patents

Title: Debasis Ganguly: Innovator in Cognitive Bias Mitigation and Representation Learning

Introduction

Debasis Ganguly is a prominent inventor based in Dublin, Ireland, known for his significant contributions to the fields of cognitive bias mitigation and representation learning. With a total of 11 patents to his name, he has made remarkable strides in developing innovative solutions that enhance data-driven models.

Latest Patents

One of Debasis Ganguly's latest patents is titled "Self-monitoring cognitive bias mitigator in predictive systems." This invention facilitates the identification and mitigation of cognitive bias in data-driven models. It employs a deep-learning system that includes a memory for storing executable components and a processor for executing these components. The system comprises an input component that receives data, a machine-learning model that generates predictions, and a multi-objective learning component that trains the model to mitigate bias.

Another notable patent is "Discrete representation learning." This invention outlines methods and systems that obtain a collection of objects and construct a weighted graph based on these objects. The graph preserves neighborhood semantics and generates partitions of nodes to create vector representations for the objects. This representation enhances efficiency in downstream tasks, such as recommendations, by optimizing computation time and memory requirements.

Career Highlights

Debasis Ganguly is currently employed at International Business Machines Corporation (IBM), where he continues to push the boundaries of innovation in technology. His work focuses on developing advanced algorithms and systems that address complex challenges in data analysis and machine learning.

Collaborations

Throughout his career, Debasis has collaborated with notable colleagues, including Pierpaolo Tommasi and Francesca Bonin. These partnerships have fostered a dynamic environment for innovation and have contributed to the success of various projects.

Conclusion

Debasis Ganguly's work exemplifies the intersection of technology and innovation, particularly in the realms of cognitive bias mitigation and representation learning. His contributions are paving the way for more accurate and efficient data-driven systems.

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