Mohammad Rostami

Title: Innovations of Mohammad Rostami

Introduction

Mohammad Rostami is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the field of machine learning and chemistry through his innovative patents. With a total of seven patents to his name, Rostami continues to push the boundaries of technology and science.

Latest Patents

One of his latest patents is titled "Systems and methods for unsupervised continual learning." This invention describes a system for the continual adaptation of a machine learning model implemented in an autonomous platform. The system adapts knowledge previously learned by the machine learning model for performance in a new domain. It receives a consecutive sequence of new domains comprising new task data. The new task data and past learned tasks are forced to share a data distribution in an embedding space, resulting in a shared generative data distribution. This shared generative data distribution is used to generate a set of pseudo-data points for the past learned tasks. Each new domain is learned using both the set of pseudo-data points and the new task data. The machine learning model is updated using both the set of pseudo-data points and the new task data.

Another notable patent is the "System and method for discovering chemically active compounds of a molecule." This invention describes a system for automatically identifying chemical properties of a molecule. A chemical representation of a molecular structure is converted into atomic features and an adjacency matrix. The atomic features and the adjacency matrix are processed with a neural network, resulting in neural activations corresponding to each atom in the molecular structure. The system determines a probability for each atom quantifying its relevance for a given chemical characteristic. The probabilities are displayed as a graphical representation on the molecular structure, and groups of atoms are identified for the given chemical characteristic from the graphical representation. The identified groups of atoms for the given chemical characteristic are stored in a database, and a new molecule having the given chemical characteristic is designed based on the stored identified groups of atoms.

Career Highlights

Mohammad Rostami is currently employed at Hrl Laboratories, LLC, where he continues to innovate and develop new technologies. His work has garnered attention in both the machine learning and chemical research communities.

Collaborations

Some of his notable coworkers include Soheil Kolouri and Kyungnam Kim, who contribute to the collaborative environment at Hrl Laboratories.

Conclusion

Mohammad Rostami's contributions to the fields of machine learning