From College of Engineering News

Dina Osama Elsayed Elgewaily, a recent Ph.D. graduate, has developed innovative AI technology to enhance research in nuclear engineering. Her work focuses on the porosity characterization of different grades of nuclear graphite, a challenge in the field due to the low contrast in X-ray tomography images. Elgewaily’s methodology, utilizing machine learning, significantly improves the accuracy and precision of these characterizations, validating its effectiveness against established studies. Her extensive research, which began in 2019 and was partly delayed by the COVID-19 pandemic, culminated in her recent dissertation defense. Elgewaily’s efforts underscore the critical role of AI in advancing nuclear engineering, while highlighting the indispensable human element in interpreting and validating research findings.