UMBC Review

The UMBC Review is a peer-reviewed publication that is published by UMBC and is sponsored by the Division of Undergraduate Academic Affairs. The 2023 (vol. 24) edition of the UMBC Review includes several articles written by UMBC students, including “Optimizing Deep Neural Network Architectures for Low-Power Autonomous Tiny UAV Navigation” (p. 33)* by Edward Humes (computer science) and “Computer Science The Power of GPUs in Machine Learning to Improve Proton Beam Therapy for Cancer Treatment” (p. 53)* by Nithya Navarathna, both of which are presented by COEIT undergraduate student research.

Check out the current issue of UMBC Review. [PDF]

UMBC Review cover

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