Van-Anh Truong designs and analyzes optimization methods for solving decision problems in information-rich and highly dynamic environments. She has worked on novel methods for solving core classes of models in Supply Chain Management, Healthcare, and Business Analytics, for example, the timing and sequencing of machine purchases in semiconductor manufacturing; the replenishment of vaccines in public stockpiles; the admission control of patients in healthcare facilities; the selection and framing of product assortments in e-commerce; and the dynamic optimization of mobile push ads in mobile commerce.
RESEARCH INTERESTS
BUSINESS ANALYTICS, HEALTHCARE OPERATIONS, SERVICE SYSTEMS, REVENUE MANAGEMENT.
RESEARCH AREAS
ALGORITHMSCOMPUTATIONAL ENGINEERING SCIENCEDATA SCIENCEMODELING & SIMULATIONSYSTEMSHEALTHY HUMANITYHEALTHY HUMANITY: MEDICINECONNECTED HUMANITY
LINKS
Of particular interest to Truong are real-time optimization problems that arise in large e-commerce, healthcare, and service applications. She has collaborated extensively with industry partners in these domains.
Truong received a Bachelor of Mathematics from the University of Waterloo in 2004 and a PhD in Operations Research and Industrial Engineering from Cornell University in 2007. She received an NSF Faculty Early Career Development (CAREER) Award in 2017.