معرفی
Mark Lehto is a Professor in the Edwardson School of Industrial Engineering at Purdue University, specializing in Human Factors, Safety Engineering, and Decision Support Systems. His research focuses on applying machine learning and Bayesian methods to improve safety, automation, and healthcare systems. He holds a PhD from the University of Michigan (1985), an MSIE from Purdue University (1981), and a BSIE from Oregon State University (1978).
Lehto’s work spans diverse areas such as pedestrian behavior modeling, injury surveillance systems, and ergonomic design. His recent studies include evaluating safety signs via eye-tracking, optimizing clinical decision support tools, and analyzing automation risks. He has contributed to projects involving cross-cultural user experiences, reliability engineering, and public health surveillance.
His publications emphasize data-driven approaches to safety challenges, with a focus on semi-automated classification systems and Bayesian networks. Key themes include improving workplace safety for aging populations, enhancing emergency room workflows, and leveraging machine learning for injury data analysis. Despite no listed awards, his extensive body of work underscores significant contributions to industrial engineering and human factors research.
Lehto advises no listed students but collaborates on grants related to safety, automation, and healthcare systems. His research has practical applications in urban planning, manufacturing, and healthcare informatics.
