- Technology and innovations
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Meeting ID: 690 4978 8984, Passcode: 371809
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The doctoral dissertation of Trung Ngo, MSc, entitled Deep semi-supervised learning for signal processing will be examined at the Faculty of Science and Forestry. The Opponent will be Associate Professor Arto Klami, Helsinki Institute for Information Technology,and the Custos will be Doctor Ville Hautamäki, University of Eastern Finland. Language of the public defence is English.
A news release of the doctoral dissertation will be published at https://www.uef.fi/en/doctoral-dissertations