ISE News and Events

intensive care unit nurse
https://news.rpi.edu/content/2022/05/31/eye-movement-tracking-glasses-are-used-evaluate-mental-stress-first-naturalistic
https://everydaymatters.rpi.edu/seizing-every-opportunity-chevy-chen/?utm_source=rss&utm_medium=rss&utm_campaign=seizing-every-opportunity-chevy-chen
https://everydaymatters.rpi.edu/destined-for-engineering-rossana-berrios/?utm_source=rss&utm_medium=rss&utm_campaign=destined-for-engineering-rossana-berrios
Class of 2022
https://rpi.app.box.com/file/2022Graduates
The RPI Chapter of the Alpha Pi Mu Society initiated nine new members on April 27.  Pictured here are some of the new members.  Congratulations!

Institute News

Autism Spectrum Disorder (ASD) is a “blanket” diagnosis applied to individuals with vastly differing behavioral as well as co-occurring medical conditions.  Using very large medical-record data sets, researchers from Rensselaer Polytechnic Institute (RPI) have found that, not only can children be broken into subgroups based upon those co-occurring conditions, but that those subgroups are also associated with differing maternal prenatal risk factors. The research is published today in the journal Autism Research.
Rensselaer Professor Jie Lian has been awarded $500,000 from the U.S. Department of Energy as part of the Nuclear Energy University Research Program (NEUP) to conduct research and develop new materials that will make advanced nuclear reactors more resilient and economically efficient. Dr. Lian, the principle investigator of the project, will be joined by collaborators Rahul Rahul, Rensselaer Polytechnic Institute; Suvranu De, Florida A&M University-Florida State University; Lu Cai, Idaho National Laboratory Program; Patrick Shower, GE Global Research Center; and Eric Brown, U.S.
Concerns regarding scarcity, high prices, and safety regarding the long-term use of lithium-ion batteries has prompted a team of researchers from Rensselaer Polytechnic Institute to propose a greener, more efficient, and less expensive energy storage alternative.
The mental workload of intensive care unit nurses can successfully be evaluated using eye-movement tracking glasses.