Paat Rusmevichientong, Justin Dart Professor of Operations Management and Professor of Data Sciences and Operations, joined USC Marshall in 2011. He received his B.A. in mathematics from UC Berkeley and Ph.D. in operations research from Stanford in 2003. From 2004-2011, he was a faculty member in the School of Operations Research and Information Engineering at Cornell University.
At issue is the ongoing and vital problem of decision making in the modern world in the midst of much uncertainty: How do businesses make the best decisions under complex operational constraints and a rapidly shifting environment?
Professor Rusmevichientong is internationally recognized for his pioneering work in inventory theory and revenue management. He is the recipient of numerous research and teaching awards. He received the INFORMS George B. Dantzig Dissertation Award in 2003, the NSF Faculty Early Career Development (CAREER) Award in 2008, and the Dean’s Award for Research Excellence in 2013. He has been recognized with several teaching awards, including two Golden Apple Awards for Excellence in Teaching, for teaching undergraduates in 2013 and MBA electives in 2016. In 2015, in recognition of excellent and innovative teaching, he received the Evan C. Thompson Learning and Teaching Innovation Award. He was named Professor of the Year in both 2009 and 2011 and received the Sonny Yau ’72 Excellence in Teaching Award in 2008. In addition, he has received multiple NSF grants to fund his research projects. He is also the holder of several U.S. patents.
In his academic career, Rusmevichientong has combined his love of math with his life-long fascination for how large-scale complex systems work. Just after earning his Ph.D., he went to Amazon.com to work in the data mining and personalization group. Then he got to work on his research. His articles have been published in top journals such as Operations Research and Management Science. His research focuses on using optimization to help businesses make better operational decisions.
His work is not only interdisciplinary but also creative and impactful. At issue is the ongoing and vital problem of decision making in the modern world in the midst of much uncertainty: How do businesses make the best decisions under complex operational constraints and a rapidly shifting environment?