Sunnyvale, CA, United States of America

Sayyed Mahdi Kashmiri

USPTO Granted Patents = 6 

Average Co-Inventor Count = 1.8

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2021 - 2023)
  • San Jose, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 2021-2024

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6 patents (USPTO):Explore Patents

Title: Sayyed Mahdi Kashmiri: Innovator in Lidar Technology and Deep Learning Models

Introduction

Sayyed Mahdi Kashmiri is a prominent inventor based in Sunnyvale, CA (US). He has made significant contributions to the fields of light detection and ranging (Lidar) systems and deep learning models. With a total of 6 patents to his name, Kashmiri continues to push the boundaries of innovation in technology.

Latest Patents

One of his latest patents focuses on a Lidar time-of-flight and intensity detection signal-path based on phase-coded multi-pulse transmission and single-bit oversampled matched filter detection. This advanced Lidar system includes a light transmission component driven by a phase-keyed burst pattern generator. The generator applies a phase-coded key to activate the light source in a series of on/off pulses. The sequence is designed to maximize the peak to side lobe ratio of the pattern's auto-correlation function. The received light, reflected from an object or scene, is converted into a bitstream that is cross-correlated with the phase-coded key. A peak detector identifies the peak of the cross-correlation function, generating a time-of-flight signal that indicates the time between the transmission of the light and the peak of the cross-correlation function.

Another notable patent involves hardware compute fabrics for deep equilibrium models. This dynamic equilibrium (DEQ) model circuit includes a first multiplier that receives an input, scales it by a first weight, and outputs the scaled input. A second multiplier scales a root by a second weight, and a summation block combines the scaled input, a bias input, and the scaled root to output a non-linear input. The first non-linear function then processes this non-linear input to output the root, with weights based on a trained DEQ model of a neural network.

Career Highlights

Sayyed Mahdi Kashmiri is currently employed at Robert Bosch GmbH, where he applies his expertise in innovative technologies. His work has significantly impacted the development of advanced systems in both Lidar technology and deep learning.

Collaborations

Kashmiri collaborates with notable colleagues, including Kenneth Wojciechowski and Efthymios Papageorgiou. Their combined efforts contribute to the advancement of technology in their respective fields.

Conclusion

Sayyed Mahdi Kashmiri is a distinguished inventor

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