Faculty cover photo

Hyeong Suk Na

Professor Hyeong Suk Na is building collaborative efforts in the field of Industrial and Systems Engineering at the University of Missouri, where he serves as an Assistant Professor. He leads the Smart, Sustainable, and Resilient Systems Laboratory, focusing on pioneering research that integrates technology and innovation to address complex engineering challenges. His work is characterized by a keen interest in large-scale stochastic optimization, stochastic networks, and simulation modeling, which are pivotal in enhancing the efficiency and resilience of engineering systems. Professor Na's expertise extends to the realms of artificial intelligence and machine learning, where he explores their applications in traffic operations and control. His research aims to develop intelligent systems that can adapt to dynamic environments, thereby improving traffic management and emergency response strategies. His contributions to emergency management are particularly noteworthy, as they involve designing systems that can effectively respond to and mitigate the impacts of unforeseen events. Before his tenure at the University of Missouri, Professor Na was an Ervin Pietz Assistant Professor at the South Dakota School of Mines, where he honed his teaching skills and contributed to the academic community. His teaching portfolio includes a variety of courses in Industrial Engineering and Operations Research, reflecting his commitment to educating the next generation of engineers. Professor Na's academic journey is marked by a dedication to advancing the field of Industrial and Systems Engineering through both research and education. His collaborative approach and innovative research have positioned him as a leading figure in his field, fostering advancements that are both sustainable and resilient. His work continues to inspire students and colleagues alike, driving forward the boundaries of what is possible in engineering research and practice.

External Link

Publications

Share Hyeong's Profile