Robert Riggs

Robert Riggs is an Assistant Professor and Director of Undergraduate Programs in Systems Engineering at the University of Virginia's School of Engineering and Applied Science. He holds a Teaching Track position and serves as Systems ME and VEO Advisor. His research focuses on integer programming, combinatorial optimization, healthcare systems engineering, Six Sigma, lean enterprise applications, and disassembly optimization. He has advised on projects spanning healthcare clinic efficiency, AI-driven systems, and logistics optimization.

Education details are not explicitly provided in the text, but his roles indicate advanced academic training in engineering disciplines. His research explores topics such as healthcare patient flow optimization, AI applications in recommenders, and disaster management systems. Recent work includes refining an AI restaurant recommender system (2025), redesigning emergency department layouts (2025), and analyzing post-COVID-19 healthcare workflows (2023).

Riggs' articles reflect a multidisciplinary approach, addressing challenges in healthcare, logistics, and sustainability. His work on truck scheduling in cross-docking centers (2024) and maritime electrification (2023) highlights expertise in supply chain systems. He has also explored ethical AI applications and threats (2023) and nonprofit employment strategies for adults with autism (2024). No scientific awards are mentioned, but his active research portfolio spans over a decade with contributions to disassembly line balancing (2015) and parameter-coupling models in manufacturing (2013).