Yin Long

Title: Innovations by Yin Long in Job Assignment Optimization

Introduction

Yin Long is an accomplished inventor based in Singapore, SG. He has made significant contributions to the field of job assignment optimization. His innovative approach focuses on enhancing the efficiency of job assignments through advanced algorithms and data analysis.

Latest Patents

Yin Long holds a patent for a groundbreaking invention titled "Job Assignment Optimization." This patent involves creating a feature vector from features extracted from new job requests. Each feature is associated with constraints on minimum requirements regarding the experience level of potential candidates. The invention further includes generating feature vectors for employees that encompass their skills and the instances in which these skills have been applied. By searching the employee database for minimum requirements indicated in new job requests, the system can model the aggregate utility of past employee experiences and generate scores that indicate the difference between potential post assignments and pre-assignment utility. Ultimately, this process outputs qualified candidates for job assignments.

Career Highlights

Yin Long is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to apply his innovative ideas in a corporate environment, contributing to the company's advancements in technology and human resources.

Collaborations

Yin Long collaborates with talented coworkers, including Elaine M Branagh and Randall Lee Cogill. Their combined expertise fosters a creative environment that drives innovation and enhances project outcomes.

Conclusion

Yin Long's contributions to job assignment optimization exemplify the impact of innovative thinking in the workplace. His patent and work at IBM highlight the importance of leveraging technology to improve efficiency in job assignments.