Deep Learning Driven Cybersecurity Research in a Multidisciplinary Environment
Cybersecurity is a priority area of national need. As a multidisciplinary field, cybersecurity requires that the professionals have knowledge and skills in various disciplines. The REU site program offers unique multidisciplinary learning and research opportunities for undergraduate students in an inherently multidisciplinary cybersecurity discipline. Each student will be able to select his/her preferred mentor and work with the mentor to select an REU research project based on his/her interests and background. The students will master research methodologies and obtain valuable research experiences in an area of critical national need, and also better prepare for graduate studies. The REU program is also enriched through various seminars, social activities, and field trips to Naval Base Norfolk, and Navy Cyber Defense Operation Command (NCDOC).
About
Support for Research Activities
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$7,200 for stipends and food
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Free on-campus housing for 10 weeks and travel support
(Conditioned on that the REU program is hosted on-site at
ODU)
Qualifications
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U.S. citizen or permanent resident
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Must be an undergraduate student during the program period
(Graduation date after the program period)
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Preferred GPA 3.0+
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Students from all disciplines or majors will be considered
Requirements
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Perform at least 30 hours/week research with the mentor for 10 weeks
(Starting from May 31, 2022)
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Attend weekly research meeting and other events
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Write a research report and create a poster at the end of the program
Past Projects
The REU project is selected together by the student and the mentor based on the student interests and background. The following is a list of selected past REU projects.
- Measurement of Energy Impact on Blockchain Technologies: Cryptocurrency Mining
- Visualization and Prevention of Backdoor Attacks in CNN model
- Person Identification from Skeleton Data via a Convolutional Co-occurrence Feature Learning Network
- Using Torchattacks to Improve the Robustness of Models with Adversarial Training
- The Effect of the Coronavirus on Cyberbullying Research Methods
Research Mentors










