Keon Shik Kim

Title: Keon Shik Kim: Innovator in Resource Allocation Optimization

Introduction

Keon Shik Kim is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the field of machine learning and predictive control, holding two patents that showcase his innovative approach to optimizing resource allocation.

Latest Patents

His latest patents include systems and methods of optimizing resource allocation using machine learning and predictive control. These patents describe a computer system that utilizes a transceiver to receive various types of input data from multiple source nodes. The processing system defines groups of data objects for each data category based on the input data. Predictive machine learning models predict selection scores for these groups over a predetermined time period. Control models determine the number of data objects permitted for each group based on these scores. Additionally, decision-making models prioritize the permitted data objects according to predetermined criteria. The system monitors subsequent activities to calculate performance metrics, allowing for adjustments to improve performance based on these metrics.

Career Highlights

Keon Shik Kim is currently employed at Nasdaq, Inc., where he applies his expertise in machine learning to enhance resource allocation strategies. His work is instrumental in developing innovative solutions that leverage data for improved decision-making processes.

Collaborations

He collaborates with talented individuals such as Shihui Chen and Douglas Hamilton, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Keon Shik Kim's contributions to the field of machine learning and resource allocation optimization highlight his role as a leading inventor. His patents reflect a commitment to advancing technology and improving efficiency in data-driven decision-making.