Innovations Student Competition Webinar Series: Part III

The Innovations in Nuclear Energy Research & Development Student Competition (INSC) recognizes published graduate and undergraduate students. Through the award process, the INSC provides winning students with opportunities to present their published work to the broader nuclear energy community. This webinar serves as an opportunity for students who were unable to present at the ANS Winter Conference to show their work to a wider audience.

The webinar features the following two presentations:

• "Measurement of a radial flow profile with eddy current flow meters and deep neural networks," by Grayson Gall
• "Using artificial intelligence to detect human errors in nuclear power plants: A casein operation and maintenance," by Ezgi Gursel

Grayson Gall Bio
Grayson completed his Bachelor of Science in nuclear engineering with minors in computer programming and music studies at North Carolina State University (NCSU). He is continuing his education at NCSU with advisors Dr. Steven Shannon and Dr. Amanda Lietz. His research focusses on the development of computational plasma physics applications in the MOOSE framework. These tools will then be used to explore plasma material interactions in a variety of low temperature plasma applications and in the edge of fusion plasmas. In the future, Gall plans on continuing to expand the field of computational plasma physics through the development of opensource software that utilizes advanced methods and GPU acceleration.

Ezgi Gursel Bio
Ezgi is a third-year PhD student at the University of Tennessee, Knoxville. She is studying Industrial and Systems Engineering. She received her BS and MBA from Southwestern Oklahoma State University. She currently works as a Graduate Research Assistant. Her current research focuses on physics-informed anomaly detection and human error detection.