Dr. Peng Li is an assistant professor in the Department of Management, Marketing and Operations at the David B. O’Maley College of Business, ˛ÝÝ®ĘÓƵ. He brings direct, interdisciplinary expertise spanning transportation engineering and supply chain management, grounded in dual doctoral training, a Ph.D. in Civil & Environmental Engineering (University of Wisconsin–Milwaukee), a Ph.D. in Supply Chain Management with a minor in Statistics (Rutgers Business School) and a prior appointment as a visiting assistant professor in Marketing, Management, and Supply Chain at the University of Texas at El Paso.
Dr. Li’s research develops rigorous, data-informed computational models for complex transportation supply networks under uncertainty, with a particular emphasis on identifying high-impact chokepoints, quantifying disruption propagation and assessing cascading performance losses across interconnected systems. His work integrates stochastic optimization, queueing theory, mechanism design and machine learning to study scarce-capacity allocation, resilience planning and incentive-compatible operational policies. A core theme across his portfolio is translating structural system insights into implementable decision tools, especially in settings where uncertainty is endogenous to operational choices and where platform/intermediary information shapes behavior and system performance.
His publication record includes more than 25 peer-reviewed journal articles across supply chain management, logistics, transportation engineering and operations management. Recent projects focus on operationally critical emerging mobility and logistics domains, including the design and optimization of electric-vehicle battery swapping networks, resilient logistics architectures and decentralized cross-sector supply chain models that support public-sector policy design and resource allocation under disruption. Building on this foundation, Dr. Li is extending his research into drone delivery and UAM/AAM systems, emphasizing network design, capacity planning and robust control mechanisms that connect multimodal transportation operations with upstream supply and infrastructure constraints.
Ph.D. - Doctor of Philosophy in Management, Rutgers University-Newark
Ph.D. - Doctor of Philosophy in Engineering, University of Wisconsin-Milwaukee