Seattle, WA, United States of America

Vikram Neal Sahney



 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2024

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Vikram Neal Sahney: Innovator in Ore Processing and Mining Techniques

Introduction

Vikram Neal Sahney is a prominent inventor based in Seattle, WA, known for his contributions to ore processing and mining techniques. With a total of 4 patents to his name, Sahney has made significant advancements in the field, utilizing machine learning to enhance operational efficiency.

Latest Patents

Sahney's latest patents include innovative techniques for determining ore characteristics and improving blast patterns. The first patent focuses on processing ore by capturing images of ore fragments as they move through a processing facility. This method employs a machine learning model to correlate these images with specific characteristics of the ore, ultimately providing valuable data for decision-making. The second patent addresses the improvement of blast patterns at mining sites. By analyzing high-speed optical videos of initial blasts, Sahney's method allows for the determination of optimized blast patterns, which can be automatically implemented in subsequent drilling operations.

Career Highlights

Sahney's career is marked by his role at X Development LLC, where he has been instrumental in developing cutting-edge technologies for the mining industry. His work has not only contributed to the efficiency of mining operations but has also paved the way for more sustainable practices in ore extraction.

Collaborations

Throughout his career, Sahney has collaborated with notable colleagues, including Thomas Peter Hunt and Neil David Treat. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Vikram Neal Sahney stands out as a key figure in the realm of mining technology, with his patents reflecting a commitment to innovation and efficiency. His work continues to influence the industry, showcasing the potential of machine learning in enhancing traditional processes.

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