Three CIVS Photos Win in DOE IEDO Industrial Technologies Contest
Honorable Mention: Armin Silaen; Researchers and technology developers in the iron and steel industry use visualization and simulation tools to optimize processes, reduce energy consumption, and evaluate efficient alternatives in a virtual environment before real-world implementation.
Congratulations to Armin Silaen (CIVS Associate Director for Operations) and John “Jack” Moreland (CIVS Senior Research Scientist) on being winners in the DOE IEDO Framing the Future: Industrial Technologies Photo Contest. The contest features photos of the innovative technologies, processes, and people that will increase the competitiveness of the U.S. industrial base and strengthen America’s economy. There was a total of 125 entries and 18 photos were selected across 6 different categories.
Armin received Runner-Up and Honorable Mention for 2 photos in the Energy Intensive Industries Iron and Steel category and Jack received Runner-Up in the People and Communities of the Industrial Sector category.
Thanks to U.S. Department of Energy (DOE) IEDO for this wonderful opportunity and great support!
These photos capture the essence of innovation and collaboration needed to transform our industrial sector and increase U.S. competitiveness abroad. Through the lenses of these talented photographers, we see not just technologies and processes, but the people driving the change toward a sustainable, prosperous future.
IEDO Director Avi Shultz
Runner-Up: Armin Silaen; A research team visits a reheating furnace at the Indiana Harbor steelmaking complex as part of a project to increase the efficiency of steel production.
Runner-Up: John Moreland; Purdue University Northwest's Center for Innovation through Visualization and Simulation develops programs like this crane training simulator for use in business, industry, and education.
Honorable Mention: Armin Silaen; Researchers and technology developers in the iron and steel industry use visualization and simulation tools to optimize processes, reduce energy consumption, and evaluate efficient alternatives in a virtual environment before real-world implementation.