Parekh

Sanjeel Parekh will be focussing on active learning. He will be advised by Prof. Florence d’Alché-Buc. Previously, he was a postdoctoral research engineer working on real-time audio event detection for a startup project at Telecom Paris. From 2016-19, he worked towards his Ph.D. thesis on audio-visual scene analysis at Technicolor R&D and Telecom Paris, France. Prior to that, he received M.S. in Sound and Music Computing from Universitat Pompeu Fabra (UPF), Spain in 2015 and B. Tech (hons.) degree in electronics and communication engineering from LNM Institute of Information Technology, India in 2014. His research focuses on developing and applying machine learning techniques to problems in audio/visual domains.

Keywords: Representation learning, deep learning, active learning, audio-visual analysis

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