Joseph M. Reinhardt the Roy J. Carver Chair in Biomedical Engineering and a professor in the Roy J. Carver Department of Biomedical Engineering. In addition to directing the Reinhardt Biomedical Imaging Lab, he is a professor in the Department of Radiology, the Image Analysis Group leader at the Iowa Institute for Biomedical Imaging, and an affiliate of the Iowa Informatics Initiative and the Iowa Technology Institute.

Hesam Abdolmotalleby is a PhD student and graduate research assistant in the Reinhardt Biomedical Imaging Lab. His research interests include medical image processing, machine learning, and AI. His work is focused on the analysis of videofluoroscopic data of dysphagia patients.

Zachary Althof is a PhD student in the Roy J. Carver Department of Biomedical Engineering. As a graduate research assistant in the Reinhardt Biomedical Imaging Lab he has developed a deep learning method for pulmonary inter-lobar fissure integrity quantification and visualization from thoracic CT images. His research focuses on fissure integrity's relation to biomechanical and disease metrics. 

Hira A. Awan is a PhD student in the Roy J. Carver Department of Biomedical Engineering and a graduate research assistant in the Reinhardt Biomedical Imaging Lab. She has a master's degree in Biostatistics from Duke University. Her research interest is to study the associations between quantitative computed tomography (QCT) derived textures and all-cause mortality. In addition to this, she is also trying to investigate the role of these QCT textures towards understanding the inflammatory mechanisms of COPD. 

Joshua is a PhD student and graduate research assistant in the Reinhardt Biomedical Imaging Lab. He graduated from Texas A&M University with a bachelor of science in biomedical engineering. His research interests include generative AI models, artifact correction, and improving patient treatment plans through CT images.

Erik Cole is a graduate research assistant in the Reinhardt Biomedical Imaging Lab. His research interests include medical imaging, image analysis, machine learning, and artificial intelligence.