Siemens, Rochester Institute of Technology partner for research and education

Rochester Institute of Technology (RIT) of Rochester, N.Y., and Siemens Energy & Automation have formed a new research and education partnership, which seeks to enhance real-world training for engineering students, while also improving the safety and design of automated systems used in manufacturing.

As part of the agreement, Siemens said it is donating $250,000 in hardware, software and monetary contributions to RIT's Advanced Systems Integration Laboratory within the department of industrial and systems engineering.

“This partnership will also enable us to greatly enhance the education and research opportunities for RIT's engineering students both in the class room and the lab,” said Sudhakar Paidy, RIT professor of industrial and systems engineering and director of the Advanced Systems Integration Lab.

Paidy's multi-disciplinary team is using the Siemens donation to build four experimental manufacturing set-ups, which will be incorporated into two courses, machine design within the department of mechanical engineering and advanced system integration in the department of industrial and systems engineering, according to Siemens.

The company said its team is also working to improve the integration of safety controls into automated systems, in an effort to enhance industrial safety and reduce costs associated with the equipment.

Paidy said that the partnership ultimately hopes “to create a series of undergraduate senior design projects and master's research efforts that will not only enhance RIT's educational mission, but also assist Siemens in improving the design and performance of its manufacturing systems.”

Around the web

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.
 

The two companies aim to improve patient access to high-quality MRI scans by combining their artificial intelligence capabilities.