Vineet Shenoy is a PhD student in the Department of Electrical and Computer Engineering at Johns Hopkins University. He is broadly interested in Computer Vision and Machine Learning, with a current focus on object detection using domain adaptation and few-shot learning techniques. He has performed research in Spectrum Sharing at the National Institute of Standards and Technology (NIST), and Biometrics at the MITRE Corporation. Previously, he earned his B.S. in Electrical and Computer Engineering and Computer Science at Rutgers University New-Brunswick, where he received the James Leroy Potter Award for Original Investigation as well as the Chancellor’s Leadership Award. He is a member of the Phi Beta Kappa and Tau Beta Pi honor societies.
