Li-Lian Gao

Li-Lian Gao is an Associate Professor in the Department of Management and Entrepreneurship at the Business School of Hofstra University. He holds a Ph.D. and MBA from Indiana University Bloomington and a B.S. from Shanghai Institute of Mechanical Engineering. His academic career includes prior teaching roles at Indiana University and Shanghai Institute of Mechanical Engineering.

• B.S., Shanghai Institute of Mechanical Engineering
• M.B.A., Indiana University Bloomington
• Ph.D., Indiana University Bloomington

Dr. Gao's research centers on operations and supply chain management, with emphasis on distribution systems design, facility location, distributed data networks, multi-echelon inventory systems, and fixed charge network programming. His work applies quantitative and optimization techniques to solve complex logistical and operational problems in both industrial and service sectors.

His publications appear in leading journals such as Management Science, Naval Research Logistics, Decision Sciences, and European Journal of Operational Research, reflecting a consistent focus on applied operations research and decision modeling. The articles demonstrate strong methodological rigor and practical relevance in logistics, network design, and inventory optimization.

Dr. Gao is a member of several professional organizations including the Decision Sciences Institute, Institute for Operations Research and the Management Sciences (INFORMS), and the Production and Operations Management Society (POMS).

He has advised various undergraduate courses including Introduction to Operations & Supply Chain Management (MGT 110), Management Systems (MGT 114), Business Process Management (MGT 143), and Business Internship (MGT 174). While no specific grants or student advisees are mentioned, his research output and professional affiliations indicate active engagement in scholarly activities.

There is no mention of lab affiliations or research teams, but his publication record suggests independent and possibly collaborative research in operations management and logistics.