Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business

UC Lindner College of Business Professor Earns IBM Patent

Published:
Monday, December 19, 2016 6:26 PM
Patent enhances real-time business performance monitoring for greater operational savings.
Jay Shan

Assistant Professor Jay Shan

Jay Shan, assistant professor of Operations, Business Analytics, and Information Systems at the Carl H. Lindner College of Business, has been awarded a patent for Monitoring Enterprise Performance (MEP) based on his collaboration with IBM Thomas J. Watson Research Center in Yorktown Heights, New York.

Shan, along with a team of collaborators, started the MEP project while a research intern at IBM’s research facility in the summer of 2010. A short paper of this work was published in the proceedings of the 9th International Conference on Business Process Management (BPM 2011), with a patent awarded in October 2014.

Shan says the patent  provides a model-driven methodology for creation of real-time performance monitoring solutions for enterprises. It substantially simplifies design of such monitoring solutions, and therefore enables business users to define monitoring models without assuming deep technical skills.

 “The patent saves the cost and time to build business performance monitoring applications due to increased automation,” he says. “It better aligns the performance monitoring function with business needs due to design by business users."

Meanwhile, Shan has a second patent pending on "uniformly managing resources and business operations," which proposed a universal and pluggable resource management system that can be seamlessly integrated with business process management tool to optimize resource utilization.

Shan completed his PhD at Penn State. He worked as an assistant professor in Manhattan College at New York City from 2011 to 2013. He came to Lindner in 2013 and teaches graduate-level business intelligence courses for Lindner’s Department of Operations, Business Analytics and Information Systems.

Shan’s PhD studies focused on inter-organizational business process collaboration in a supply chain environment. Shan’s research aims at verifying the correctness of process communication between business partners, and reconciling conflicts in an automated manner to make a smoother collaboration.