U.S. Department of Education awards $1.5 million for Rowan Engineering Ph.D. fellowships

U.S. Department of Education awards $1.5 million for Rowan Engineering Ph.D. fellowships

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Funded by a $1.5 million U.S. Department of Education (USDoED) Graduate Assistance in Areas of National Need (GAANN) grant, the Henry M. Rowan College of Engineering (HMRCOE) at Rowan University will support a multidisciplinary Ph.D. fellowship program in Big Data Analytics, Machine Learning and Artificial Intelligence.

“These awards are among the most competitive and prestigious awards made by the USDoED,” said Dr. Anthony Lowman, dean. “Our receiving it illustrates the quality of our research program and the expertise of our dedicated and innovative faculty.” 

In order to enroll in the program, students must be U.S. citizens or have permanent resident status. Students with bachelor’s or master’s degrees in engineering or related STEM (science, technology, engineering and mathematics) disciplines and a desire to conduct cutting-edge, multidisciplinary research are encouraged to apply for the program. The program formally begins in spring 2019. 

“This program implements an inclusive and sustainable education training plan designed to develop our next generation of doctorally prepared engineers,” said fellowship program leader Dr. Nidhal C. Bouaynaya, professor in the Department of Electrical & Computer Engineering, and associate dean for Research and Graduate Studies. “Engineers who complete this program will be equipped with the aptitude, experience and skills to lead society as we face the challenges and opportunities that are arising from artificial intelligence in various career fields.”

Students in the fellowship program will develop competencies in data science and machine learning, entrepreneurial skills, multi-audience communication and professional conduct while also initiating a discipline-specific and data-driven research project. Projects in this program will range from cheminformatics for advanced energy, intelligent transportation systems, data analytics in digital immersive environments, aviation safety research, radiomics and fundamental problems in machine learning.

Additionally, this program will provide a variety of immersive experiences, including internships at collaborative federal and industry laboratories.

Students interested in the program should contact Bouaynaya at 856-256-5330 or bouaynaya@rowan.edu