Mohammadmahdi Kamani

Title: Mohammadmahdi Kamani: Inventor in Edge-Device Machine Learning.

Introduction

Mohammadmahdi Kamani is an inventor based in Bellevue, Washington. His patent work focuses on machine learning systems that can be trained and improved across edge devices with less reliance on manual labeling.

Latest Patents

Kamani is associated with 1 patent: “Self-supervised collaborative approach to machine learning by models deployed on edge devices.” The invention describes a surveillance system in which edge devices collaborate with a server using self-supervised learning and knowledge distillation. This approach is intended to reduce or eliminate manual labeling and enable deployed models to be trained and updated without human intervention, improving the quality of their inferences.

Career Highlights

Kamani is associated with Wyze Labs, Inc. His patent reflects work on practical machine learning methods for systems that operate across connected edge devices and server infrastructure.

Collaborations

The provided information lists Lin Chen and Zhongjie Yu as Kamani’s coworkers. Their shared professional context connects them to the broader work at Wyze Labs, Inc.

Conclusion

Mohammadmahdi Kamani’s patent presents a collaborative, self-supervised approach to maintaining machine learning models on edge devices, with the goal of reducing manual effort while improving inference quality.