Vedansh Mehta

Vedansh is an undergraduate student in Computer Engineering at the University of Toronto, where he is also pursuing a minor in Artificial Intelligence. His current research thesis focuses on using NLP to determine optimal advertisement points in long-form digital media. His broader interests span from quantum machine learning to engineering education. He recently presented his published work on multidisciplinary collaboration between architecture and engineering at the CEEA-ACEG annual national conference.

vedansh.mehta@mail.utoronto.ca
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