Dr. Pang is Professor in Supply Chain and Operations Managerment and a Purdue University Faculty Scholar. He is the coordinator of the doctoral program in Supply Chain and Operations Management (SCOM).
Research: His research interests include statistical learning and decision theory, healthcare delivery systems, supply chain risk management, and pricing and revenue management. He is a senior editor for Production and Operations Management , associate editor for IISE Transactions, and a founding editor of Journal of Blockchain Research.
Teaching: He teaches Operations Management, Supply Chain Management, Logistics, and Strategic Sourcing and Procurement. He was named as one of Purdue's Experiential Education Champions for 2023-2024. To facilitate experiential learning, he formed partnerships with many world-leading corporations and created real-world projects as course projects in the class, which integrated classroom learning and corporate project based experiential learning and allow students to be exposed to the real world challenges and apply what they learn in the class to the real world problems.
Industry Engagement: He has rich industry experience as entrepreneur and management consultant. Since he joined Purdue, he has formed research and experiential learning partnerships with many corporations including Dow Chemical, Corteva and Wabash. He is also working closely with healthcare service organizations including a non-for-profit home healthcare service provider to help them improve efficiency and quality of care. He as served the board of directors for China Titans Energy Technology Group Co., Ltd. from 2015-2023. As one of Purdue's Innovation and Entrepreneurship Fellows, he works with other fellows across campus to help connect Purdue innovators with novel paths for entrepreneurship and commercialization to take the innovations to the world.
PhD Student Recruitment: I am looking for highly motivated and self-driven PhD students with solid foundations in mathematics and statistics and strong interests in Statistical Learning and Decision Intelligence. Application areas include but not limited to healthcare management, supply chain operations and risk management, smart mobility and circular economy, and blockchain. Interested students are welcome to get in touch with me and submit your application to the SCOM PhD program.