Events

Public defence in Signal Processing Technology, M.Sc. Farshad Ghorbani Veshki

Public defences
Public defence from the Aalto University School of Electrical Engineering, Department of Information and Communications Engineering
Doctoral hat floating above a speaker's podium with a microphone

When

–

Where

Undergraduate Centre
Lecture hall U4

Event language(s)

English

The title of the thesis: Methods for Convolutional Sparse Coding and Coupled Feature Learning with Applications to Image Fusion 

Doctoral student: M.Sc. Farshad Ghorbani Veshki
Opponents: Prof. Sergio Cruces, Universidad de Sevilla, Spain ja Prof. Adrian Basarab, Université de Lyon, France
Custos: Prof. Sergiy Vorobyov, Aalto University School of Electrical Engineering, Department of Information and Communications Engineering 

Thesis available for public display 10 days prior to the defence at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/

Doctoral theses in the School of Electrical Engineering: https://aaltodoc.aalto.fi/handle/123456789/53handle/123456789/53

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