Kyeong-Jin Kim

Title: Kyeong-Jin Kim: Innovator in Machine Learning and Position Estimation

Introduction

Kyeong-Jin Kim is a prominent inventor based in Lexington, MA, known for his contributions to machine learning and position estimation technologies. With a total of six patents to his name, he has made significant strides in the fields of vehicular networks and satellite signal processing.

Latest Patents

One of Kyeong-Jin Kim's latest patents is titled "Communication and computation aware distributed machine learning for vehicular networks." This invention provides a computer-implemented method for training a global machine learning model using a learning server and a set of vehicle agents connected to roadside units (RSUs). The method involves selecting agents, associating them with RSUs based on proximity, and transmitting training data and deadlines. Agents train models locally, which are then aggregated through RSUs to refine the global model to the desired precision.

Another notable patent is the "Method and system for position estimation using domain adaptation." This invention discloses a method and system for tracking the position of one or more moving objects. It includes collecting GNSS measurement data from multiple satellites, extracting values of various features from this data, and mapping these values to a source domain. The method utilizes a neural network trained over simulated data to classify the mapped features and track the position of moving objects by processing GNSS measurement data affected by multipath.

Career Highlights

Kyeong-Jin Kim is currently employed at Mitsubishi Electric Research Laboratories, Inc., where he continues to innovate and develop advanced technologies. His work has had a significant impact on the fields of machine learning and position estimation, showcasing his expertise and dedication to research and development.

Collaborations

Kyeong-Jin Kim has collaborated with notable colleagues, including Philip Orlik and Hongbo Sun, who contribute to the innovative environment at Mitsubishi Electric Research Laboratories, Inc. Their combined efforts enhance the research output and foster advancements in their respective fields.

Conclusion

Kyeong-Jin Kim's contributions to machine learning and position estimation demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex technologies and their applications in real-world scenarios.