This inventor holds 1 USPTO granted patent. Top assignee: Qunnect, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Gabriel Bello Portmann: Inventor in Machine-Learning-Guided Optical Systems
Introduction
Gabriel Bello Portmann is an inventor based in Stonybrook, New York. His work includes an invention that applies machine learning to the tuning of optical cavities.
Latest Patents
Portmann is associated with 1 patent, titled “Systems and Methods for Tuning Optical Cavities Using Machine Learning Techniques.” The patent describes an optical system and a method for tuning an optical cavity. A convolutional neural network analyzes a measurement signal to assess the cavity’s degree of misalignment, and a reinforcement learning model uses that assessment to determine a tuning parameter.
Career Highlights
Portmann works at Qunnect, Inc. His patent reflects an approach that combines optical-system measurements with machine-learning techniques to guide cavity alignment and tuning.
Collaborations
Portmann’s coworker, Mehdi Namazi, is also associated with his professional work.
Conclusion
Gabriel Bello Portmann’s patented work brings together optical engineering, convolutional neural networks, and reinforcement learning to support the tuning of optical cavities.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile