Sophia Kneel 2

7th International Digital Human Modeling Symposium

The Iowa Technology Institute is hosting the 7th International Digital Human Modeling Symposium (DHM 2022) in conjunction with the Iowa Virtual Human Summit in August 2022. Keynote speakers will be Sébastien Lozé and Col. Kevin A. Bigelman.

Xuan Song

Xuan Song named among nation’s outstanding young manufacturing engineers

Xuan Song, an assistant professor of industrial and systems engineering and ITI affiliate, is among 22 recipients of the 2022 Sandra L. Bouckley Outstanding Young Manufacturing Engineers from the Society of Manufacturing Engineers (SME). His work focuses on innovations in 3D printing.

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Portrait of Michael Schnieders

Schnieders among five to receive Iowa Mid-Career Faculty Scholar Awards

Monday, May 9, 2022
University of Iowa
Michael Schnieders is associate professor in the Roy J. Carver Department of Biomedical Engineering in the College of Engineering and the Department of Biochemistry in the Carver College of Medicine, as well as a faculty affiliate with the Iowa Technology Institute. Schnieders is a leader in using physics-based simulation and modeling to understand protein structure, work that has important applications in areas such as genetics, drug design, and disease diagnostics.
Zeyuan Ru

Ru honored by AGU Atmospheric Sciences Section for "outstanding" presentation

Friday, May 6, 2022
University of Iowa Technology Institute
Zeyuan Ru, a University of Iowa Technology Institute graduate research assistant, has been recognized by the AGU Atmospheric Sciences Section. Ru works with Prof. Jun Wang and is a graduate student at the College of Engineering.
Xi Chen

ITI postdoc Xi Chen presents new machine-learning based approach to predict light scattering properties

Dr. Xi Chen, working with Prof. Joe Gomes and Prof. Jun Wang, published their collaborative work presenting a new, machine-learning based, approach to predict light scattering properties of non-spherical dust particles. The approach will have wide applications in satellite remote sensing and climate model predictions. Chen, Gomes, and Wang are affiliated with the University of Iowa Technology Institute.

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